Publications

1. Personalized Federated Direct Preference Optimization via LoRA Adapters

   Zhanhong Jiang, Soumik Sarkar

   arXiv (2026) · DOI: 10.48550/arxiv.2610.12885

2. WeedNet: a foundation model-based global-to-local AI approach for weed species identification and classification

   Yanben Shen, Timilehin T. Ayanlade, Venkata Naresh Boddepalli, Mojdeh Saadati, Ashlyn Rairdin, Zi Kang Deng, Muhammad Arshad, Baskar Ganapathysubramanian, Aditya Balu, Daren Mueller, Asheesh Kumar Singh, Asheesh Kumar Singh, Wesley Everman, Nirav Merchant, Baskar Ganapathysubramanian, Meaghan J. B. Anderson, Soumik Sarkar, Arti Singh, Arti Singh

   Nature Communications (2026) · DOI: 10.1038/s41467-026-78044-4

   Code

3. A framework for AI-integrated models to assess agricultural resilience

   Joshua R. Waite, Dana Golden, Brett Indelicato, Kevin Camp, Mojdeh Saadati, Shannon K. Regan, Patrick S. Schnable, Baskar Ganapathysubramanian, Carlos D. Messina, Suzanne Thornsbury, Soumik Sarkar

   Frontiers in Sustainable Food Systems (2026) · DOI: 10.3389/fsufs.2026.1924646

4. Soybean variety development using high-resolution satellite imagery and machine learning enabled phenomic-assisted selection

   Joscif Raigne, Arti Singh, Soumik Sarkar, Baskar Ganapathysubramanian, Asheesh K. Singh

   Preprints (2026) · DOI: 10.22541/essoar.15007531/v1

5. Phenological growth stages of Finger millet (Eleusine coracana (L.)) using 3-D phenotyping with relevance to breeding applications

   Juan Di Salvo, Shambhavi Joshi, Mozhgan Hadadi, Talukder Zaki Jubery, Soumik Sarkar, Arti Singh, Baskar Ganapathysubramanian, Sotirios V. Archontoulis, Adarsh Krishnamurthy, Asheesh Kumar Singh

   Frontiers in Plant Science (2026) · DOI: 10.3389/fpls.2026.1747707

6. AI-integrated models for assessing agricultural resilience

   Joshua R. Waite, Dana Golden, Brett Indelicato, Kevin Camp, Mojdeh Saadati, Shannon Regan, Patrick S. Schnable, Baskar Ganapathysubramanian, Carlos D. Messina, Suzanne Thornsbury, Soumik Sarkar

   arXiv (2026) · DOI: 10.48550/arxiv.2607.07759

7. Lighting-aware Unified Model for Instance Segmentation

   Qisai Liu, Alloy Das, Zhanhong Jiang, Joshua R. Waite, Aditya Balu, Adarsh Krishnamurthy, Soumik Sarkar

   arXiv (2026) · DOI: 10.48550/arxiv.2605.20436

8. COOPO: Cyclic Offline-Online Policy Optimization Algorithm

   Qisai Liu, Zhanhong Jiang, Joshua R. Waite, Aditya Balu, Cody Harrison Fleming, Soumik Sarkar

   arXiv (2026) · DOI: 10.48550/arxiv.2605.18675

9. TabQL: In-Context Q-Learning with Tabular Foundation Models

   Qisai Liu, Zhanhong Jiang, Timilehin Ayanlade, Ashutosh Nirala, Yang Li, Aditya Balu, Soumik Sarkar

   arXiv (2026) · DOI: 10.48550/arxiv.2605.18979

10. Uncertainty-aware neural emulation reveals climate-resilient maize traits at scale

    Mojdeh Saadati, Juan Panelo, Gustavo Visentini, Soumik Sarkar, Carlos D. Messina, Baskar Ganapathysubramanian

    Iowa State University Digital Repository (Iowa State University) (2026) · DOI: 10.48550/arxiv.2605.22848

11. SAGE: Scalable Agentic Grounded Evaluation for Crop Disease Diagnosis

    Muhammad Arshad, Tirtho Roy, Yanben Shen, Dinakaran Elango, Shivani Chiranjeevi, Asheesh K. Singh, Baskar Ganapathysubramanian, Chinmay Hegde, Arti Singh, Soumik Sarkar

    CVPR 2026 Workshop on Emerging Directions in Data for Multimodal Foundation Models (DataMFM) (2026) · DOI: 10.48550/arxiv.2605.09768

    Project pageCode

12. ADKO: Agentic Decentralized Knowledge Optimization

    Lucas Nerone Rillo, Zhanhong Jiang, Nastaran Saadati, Aditya Balu, Baskar Ganapathysubramanian, Chinmay Hegde, Soumik Sarkar

    arXiv (2026) · DOI: 10.48550/arxiv.2605.07863

    Code

13. Sewing the future of cotton: An integrated omics study combining nanomechanics, transcriptomics, and phenotypic traits

    Md Hasibul Hasan Hasib, Nabila Masud, Angona Biswas, Talukder Zaki Jubery, Carson Stanley, Sivakumar Swaminathan, Corrinne E. Grover, Jonathan F. Wendel, Soumik Sarkar, Olga A. Zabotina, Anwesha Sarkar

    Current Plant Biology (2026) · DOI: 10.1016/j.cpb.2026.100626

14. Soybean variety development using aerial imagery and machine learning enabled phenomic-assisted selection

    Joscif Raigne, Somak Dutta, Arti Singh, Soumik Sarkar, Baskar Ganapathysubramanian, Asheesh Kumar Singh

    Preprints (2026) · DOI: 10.22541/essoar.15002438/v1

15. Neural 3D reconstruction and immersive VR visualization of row crops across phenological growth stages

    Shambhavi Joshi, Juan Di Salvo, Yanben Shen, Mozhgan Hadadi, Venkata Naresh Boddepalli, Talukder Zaki Jubery, Soumik Sarkar, Arti Singh, Baskar Ganapathysubramanian, Asheesh Kumar Singh, Adarsh Krishnamurthy

    Smart Agricultural Technology (2026) · DOI: 10.1016/j.atech.2026.102024

    Project pageCode

16. Transformer model to determine spatio-temporal relationships of variables, and interpretability for soybean seed yield, oil, and protein prediction

    Timilehin T. Ayanlade, Liza Van der Laan, Qisai Liu, Tryambak Gangopadhyay, Johnathon M. Shook, Arti Singh, Baskar Ganapathysubramanian, Soumik Sarkar, Asheesh Kumar Singh

    Frontiers in Artificial Intelligence (2026) · DOI: 10.3389/frai.2026.1750108

17. LexiSafe: Offline Safe Reinforcement Learning with Lexicographic Safety-Reward Hierarchy

    Hsin-Jung Yang, Zhanhong Jiang, Prajwal Koirala, Qisai Liu, Cody Harrison Fleming, Soumik Sarkar

    arXiv (2026) · DOI: 10.48550/arxiv.2602.17312

18. LCLA: Language-Conditioned Latent Alignment for Vision-Language Navigation

    Nitesh Subedi, Adam Haroon, Tetteh, Samuel, Prajwal Koirala, Cody Harrison Fleming, Soumik Sarkar

    arXiv (2026) · DOI: 10.48550/arxiv.2602.07629

    Project pageCode

19. Enhancing PPO With Trajectory-Aware Hybrid Policies

    Qisai Liu, Zhanhong Jiang, Hsin-Jung Yang, Mahsa Khosravi, Joshua R. Waite, Soumik Sarkar

    IEEE Transactions on Neural Networks and Learning Systems (2026) · DOI: 10.1109/tnnls.2025.3641531

20. Directional Concentration Uncertainty: A representational approach to uncertainty quantification for generative models

    Souradeep Chattopadhyay, Kennedy, Brendan, Sai Munikoti, Soumik Sarkar, Karl Pazdernik

    International Conference on Artificial Intelligence and Statistics (AISTATS 2026) (2026) · DOI: 10.48550/arxiv.2602.13264

21. BPS2026 – In-context adaptation of vision language models (VLMs) for few-shot cell detection in microscopy

    Shreyan Ganguly, Angona Biswas, Jaydeep Rade, Mohammad Hasibul Hasan Hasib, Nabila Masud, Nitish Singla, Anjali Dash, Ushashi Bhattacharjee, Aditya Balu, Adarsh Krishnamurthy, Soumik Sarkar, Anwesha Sarkar

    Biophysical Journal (2026) · DOI: 10.1016/j.bpj.2025.11.2598

22. BPS2026 – AFM-based force spectroscopy for linking plant cell wall mechanics to agriculture

    Nabila Masud, Mohammad Hasibul Hasan Hasib, Angona Biswas, Talukder Zaki Jubery, Soumik Sarkar, Anwesha Sarkar

    Biophysical Journal (2026) · DOI: 10.1016/j.bpj.2025.11.1616

23. Drone-based 3D Reconstruction of Plants in Field Conditions Using Neural Radiance Fields (NeRFs)

    Association for Artificial Intelligence 2026, Baskar Ganapathysubramanian, Shambhavi Joshi, Talukder Zaki Jubery, Adarsh Krishnamurthy, Ashlyn M. Rairdin, Soumik Sarkar, Arti Singh, Elizabeth Tranel

    Underline Science Inc. (2026) · DOI: 10.48448/ee9z-wf33

24. Driving as a screening aid: Scenario-based cognitive assessment in older drivers from driving video

    Md. Zahid Hasan, Guillermo Basulto‐Elias, Jun HaChang, Shauna Hallmark, Matthew Rizzo, Anuj Sharma, Soumik Sarkar

    Artificial Intelligence for Transportation (2026) · DOI: 10.1016/j.ait.2026.100067

25. Deep Learning and Dynamic Mode Decomposition for Characterizing Combustion Instability

    Tryambak Gangopadhyay, Anthony LoCurto, James B. Michael, Soumik Sarkar

    Journal Articles (2026) · DOI: 10.1007/978-3-031-88574-7_12

26. Continuous-Time Probabilistic Correctors for Uncertainty-Aware Physics-Based Spacecraft Trajectory Forecasting

    Muhammad Bilal Shahid, Zhanhong Jiang, Soumik Sarkar, Cody Harrison Fleming

    SSRN Electronic Journal (2026) · DOI: 10.2139/ssrn.7019801

27. Predicting mild cognitive impairment using naturalistic driving and trip destination modeling

    Souradeep Chattopadhyay, Guillermo Basulto-Elias, Jun Ha Chang, Matthew Rizzo, Shauna Hallmark, Anuj Sharma, Soumik Sarkar

    Transportation Research Interdisciplinary Perspectives, Vol. 38, 102091 (2026) · DOI: 10.1016/j.trip.2026.102091

28. Bidirectional linear recurrent models for sequence-level multisource fusion

    Qisai Liu, Zhanhong Jiang, Md Zahid Hasan, Joshua R. Waite, Chao Liu, Aditya Balu, Soumik Sarkar

    Information Fusion, Vol. 126, 103601 (2026) · DOI: 10.1016/j.inffus.2025.103601

29. DeCAF: Decentralized consensus-and-factorization for low-rank adaptation of foundation models

    Nastaran Saadati, Zhanhong Jiang, Joshua R. Waite, Shreyan Ganguly, Aditya Balu, Chinmay Hegde, Soumik Sarkar

    Neural Networks, Vol. 202, pp. 108992-108992, Elsevier BV (2026) · 0 citations · DOI: 10.1016/j.neunet.2026.108992

30. In-context adaptation of VLMs for few-shot cell detection in optical microscopy

    Shreyan Ganguly, Angona Biswas, Jaydeep Rade, Mohammad Hasibul Hasan Hasib, Nabila Masud, Nitish Singla, Anjali Dash, Ushashi Bhattacharjee, Aditya Balu, Anwesha Sarkar, Adarsh Krishnamurthy, Soumik Sarkar

    Frontiers in Artificial Intelligence, Vol. 9, pp. 1761903-1761903, Frontiers Media (2026) · 0 citations · DOI: 10.3389/frai.2026.1761903

    Project pageCode

31. 54 Broad and shallow, deep and narrow, data track health’s causal arrow

    Jun Ha Chang, Ran Dai, Anuj Sharma, Soumik Sarkar, Elizabeth Vlock, CARRIE BAILEY, Laura Lienemann, Matthew Rizzo

    Journal of Clinical and Translational Science, Vol. 10, pp. 17-17, Cambridge University Press (2026) · 0 citations · DOI: 10.1017/cts.2026.10283

32. Find the fruit: Designing a zero-shot sim2real deep rl planner for occlusion aware plant manipulation

    Nitesh Subedi, Hsin-Jung Yang, Devesh K Jha, Soumik Sarkar

    IEEE International Conference on Robotics and Automation (ICRA 2026), in press (2026) · 5 citations

    Project pageCode

33. AgGym: An agricultural biotic stress simulation environment for ultra-precision management planning

    Mahsa Khosravi, Matthew Carroll, Kai Liang Tan, Liza Van der Laan, Joscif Raigne, Daren S Mueller, Arti Singh, Aditya Balu, Baskar Ganapathysubramanian, Asheesh Kumar Singh, Soumik Sarkar

    Computers and Electronics in Agriculture, Vol. 246, 111479 (2026) · 3 citations

    Code

34. Neural CDEs as Correctors for Learned Time Series Models

    Muhammad Bilal Shahid, Zhanhong Jiang, Prajwal Koirala, Soumik Sarkar, Cody Harrison Fleming

    arXiv (2025) · DOI: 10.48550/arxiv.2512.12116

35. Foundation Model Efficient Fine-Tuning in Centralized and Federated Settings

    Nastaran Saadati, Zhanhong Jiang, Aditya Balu, Chao Liu, Chinmay Hegde, Soumik Sarkar

    2025 IEEE International Conference on Big Data (BigData) (2025) · DOI: 10.1109/bigdata66926.2025.11400875

36. Impact of acute glucose episodes on adherence to speed limits in the naturalistic setting for drivers with diabetes: An application of linear quantile mixed models

    Aparna Joshi, Archana Venkatachalapathy, Jennifer Merickel, Jun Ha Chang, Matthew Rizzo, Soumik Sarkar, Anuj Sharma

    Transportation Research Interdisciplinary Perspectives (2025) · DOI: 10.1016/j.trip.2025.101633

37. Soybean maturity prediction using two‐dimensional contour plots from drone‐based time series imagery

    Bitgoeul Kim, Samuel W. Blair, Talukder Zaki Jubery, Soumik Sarkar, Arti Singh, Asheesh Kumar Singh, Asheesh K. Singh, Asheesh Kumar Singh, Baskar Ganapathysubramanian

    The Plant Phenome Journal (2025) · DOI: 10.1002/ppj2.70036

38. Time Series GWAS for Iron Deficiency Chlorosis Tolerance in Soybean using Aerial Imagery

    Matthew E. Carroll, Ashlyn M. Rairdin, Liza Van der Laan, Antonella Ferela, Sahishnu Hanumolu, Soumik Sarkar, Baskar Ganapathysubramanian, Arti Singh, Arti Singh, Asheesh K Singh, Asheesh K Singh

    bioRxiv (Cold Spring Harbor Laboratory) (2025) · DOI: 10.1101/2025.05.30.657051

39. TerraIncognita: A Dynamic Benchmark for Species Discovery Using Frontier Models

    Shivani Chiranjeevi, Hossein Zaremehrjerdi, Zi K. Deng, Talukder Zaki Jubery, Ari J. Grele, Arti Singh, Asheesh Kumar Singh, Soumik Sarkar, Nirav C. Merchant, Harold F. Greeney, Baskar Ganapathysubramanian, Chinmay Hegde

    arXiv (2025) · DOI: 10.48550/arxiv.2506.03182

40. FUSE: First-Order and Second-Order Unified Synthesis in Stochastic Optimization

    Zhanhong Jiang, Md Zahid Hasan, Aditya Balu, Joshua R. Waite, Genyi Huang, Soumik Sarkar

    2025 IEEE Conference on Artificial Intelligence (CAI), pp. 783-788 (2025) · DOI: 10.1109/CAI64502.2025.00140

41. Can Pretrained Vision-Language Embeddings Alone Guide Robot Navigation?

    Nitesh Subedi, Adam Haroon, Shreyan Ganguly, Samuel T. K. Tetteh, Prajwal Koirala, Cody Fleming, Soumik Sarkar

    Robotics: Science and Systems (RSS) 2025 Workshop on Robot Planning in the Era of Foundation Models (FM4RoboPlan) (2025)

42. Zero-shot Sim-to-Real Transfer for Reinforcement Learning-based Visual Servoing of Soft Continuum Arms

    Hsin-Jung Yang, Mahsa Khosravi, Benjamin Walt, Girish Krishnan, Soumik Sarkar

    Proceedings of the 7th Annual Learning for Dynamics & Control Conference (L4DC 2025), PMLR 283, pp. 1300-1312 (2025)

43. InsectNet: Real-time identification of insects using an end-to-end machine learning pipeline

    Shivani Chiranjeevi, Mojdeh Saadati, Zi K Deng, Jayanth Koushik, Talukder Z Jubery, Daren S Mueller, Matthew O’Neal, Nirav Merchant, Aarti Singh, Asheesh K Singh, Soumik Sarkar, Arti Singh, Baskar Ganapathysubramanian

    PNAS nexus, Vol. 4, pp. pgae575, Oxford University Press (2025) · 20 citations

44. Procedural generation of 3D maize plant architecture from LiDAR data

    Mozhgan Hadadi, Mehdi Saraeian, Jackson Godbersen, Talukder Z Jubery, Yawei Li, Lakshmi Attigala, Aditya Balu, Soumik Sarkar, Patrick S Schnable, Adarsh Krishnamurthy, Baskar Ganapathysubramanian

    Computers and Electronics in Agriculture, Vol. 236, pp. 110382, Elsevier (2025) · 14 citations

    Code

45. Plot‐level satellite imagery can substitute for UAVs in assessing maize phenotypes across multistate field trials

    Nikee Shrestha, Anirudha Powadi, Jensina Davis, Timilehin T Ayanlade, Huyu Liu, Michael C Tross, Ramesh K Mathivanan, Jordan Bares, Lina Lopez‐Corona, Jonathan Turkus, Lisa Coffey, Talukder Zaki Jubery, Yufeng Ge, Soumik Sarkar, James C Schnable, Baskar Ganapathysubramanian, Patrick S Schnable

    Plants, People, Planet, Vol. 7, pp. 1011-1026 (2025) · 14 citations

46. Use of artificial intelligence in soybean breeding and production

    Asheesh K Singh, Sarah E Jones, Liza Van der Laan, Timilehin T Ayanlade, Joscif Raigne, Nasla Saleem, Shambhavi Joshi, Muhammad Arbab Arshad, Hossein ZareMehrjerdi, Ashlyn Rairdin, Juan Di Salvo, Dinakaran Elango, Leonardo De Azevedo Peixoto, Talukder Z Jubery, Adarsh Krishnamurthy, Arti Singh, Soumik Sarkar, Baskar Ganapathysubramanian

    Advances in Agronomy 190, 199-273, 2025, Vol. 190, pp. 199-273, Academic Press (2025) · 6 citations

47. Reinforcement learning optimization of a water resource recovery facility: Evaluating the impact of reward function design on agent training, control optimization, and treatment risk

    Henry C Croll, Kaoru Ikuma, Say Kee Ong, Soumik Sarkar

    Journal of Water Process Engineering, Vol. 69, pp. 106658, Elsevier (2025) · 6 citations

48. Optimizing navigation and chemical application in precision agriculture with deep reinforcement learning and conditional action tree

    Mahsa Khosravi, Zhanhong Jiang, Joshua R Waite, Sarah E Jones, Hernan Torres Pacin, Arti Singh, Baskar Ganapathysubramanian, Asheesh Kumar Singh, Soumik Sarkar

    Smart Agricultural Technology, pp. 101194, Elsevier (2025) · 5 citations

49. Genomic and phenomic prediction for soybean seed yield, protein, and oil

    Liza Van der Laan, Kyle Parmley, Mojdeh Saadati, Hernan Torres Pacin, Srikanth Panthulugiri, Soumik Sarkar, Baskar Ganapathysubramanian, Aaron Lorenz, Asheesh K Singh

    The plant genome, Vol. 18, pp. e70002 (2025) · 5 citations

50. 3D multiphase heterogeneous microstructure generation using conditional latent diffusion models

    Nirmal Baishnab, Ethan Herron, Aditya Balu, Soumik Sarkar, Adarsh Krishnamurthy, Baskar Ganapathysubramanian

    Digital Discovery, Vol. 4, pp. 3175-3190, Royal Society of Chemistry (2025) · 5 citations

51. Benchmarking scientific machine-learning approaches for flow prediction around complex geometries

    Ali Rabeh, Ethan Herron, Aditya Balu, Soumik Sarkar, Chinmay Hegde, Adarsh Krishnamurthy, Baskar Ganapathysubramanian

    Communications Engineering, Vol. 4, pp. 182, Nature Publishing Group UK (2025) · 3 citations

52. Digital twins for the plant sciences

    Baskar Ganapathysubramanian, Soumik Sarkar, Arti Singh, Asheesh K. Singh

    Trends in Plant Science, Vol. 30, pp. 576-577, Elsevier BV (2025) · 4 citations · DOI: 10.1016/j.tplants.2024.12.013

53. Robust soybean seed yield estimation using high-throughput ground robot videos

    Jiale Feng, Samuel W. Blair, Timilehin T. Ayanlade, Aditya Balu, Baskar Ganapathysubramanian, Arti Singh, Arti Singh, Soumik Sarkar, Asheesh K. Singh, Asheesh K. Singh

    Frontiers in Plant Science, Vol. 16, pp. 1554193-1554193, Frontiers Media (2025) · 3 citations · DOI: 10.3389/fpls.2025.1554193

54. Classifying Cognitive Decline in Older Drivers from Behavior on Adverse Roads Detected Using Computer Vision

    Md. Zahid Hasan, Guillermo Basulto‐Elias, Shauna Hallmark, Jun Ha Chang, Anuj Sharma, Jeffrey D. Dawson, Soumik Sarkar, Matthew Rizzo

    Journal of Transportation Technologies, Vol. 15, pp. 135-154, Scientific Research Publishing (2025) · 0 citations · DOI: 10.4236/jtts.2025.151008

55. Assessing phenotypic diversity and sensor‐based metrics for drought response in soybean

    Sarah E. Jones, Somak Dutta, Timilehin T. Ayanlade, Baskar Ganapathysubramanian, Soumik Sarkar, Benjamin Fallen, Asheesh K. Singh

    Crop Science, Vol. 65, Wiley (2025) · 0 citations · DOI: 10.1002/csc2.70098

56. Assessing the effectiveness of CFLD on black gram cultivation and its socio-economic impact on farmers in Malda

    Victor Sarkar, Subhadeep Chakraborty, B. C. Rudra, Rammohan Roy, Biswanath Maity, Kalyani Pradhan, Pratik Bhowmik, Parimal Pal, Soumik Sarkar

    International Journal of Agriculture Extension and Social Development, Vol. 8, pp. 498-503 (2025) · 0 citations · DOI: 10.33545/26180723.2025.v8.i6g.2069

57. Leveraging vision language models for specialized agricultural tasks

    Muhammad Arbab Arshad, Talukder Zaki Jubery, Tirtho Roy, Rim Nassiri, Asheesh K Singh, Arti Singh, Chinmay Hegde, Baskar Ganapathysubramanian, Aditya Balu, Adarsh Krishnamurthy, Soumik Sarkar

    2025 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV …, 2025, pp. 6320-6329, IEEE (2025) · 17 citations

    Project pageCode

58. Conversational LLM-based decision support for defect classification in AFM images

    Angona Biswas, Jaydeep Rade, Nabila Masud, Md Hasibul Hasan Hasib, Aditya Balu, Juntao Zhang, Soumik Sarkar, Adarsh Krishnamurthy, Juan Ren, Anwesha Sarkar

    IEEE Open Journal of Instrumentation and Measurement, IEEE (2025) · 3 citations

    Code

59. Reindsplit: Reinforced dynamic split learning for pest recognition in precision agriculture

    Vishesh Kumar Tanwar, Soumik Sarkar, Asheesh K Singh, Sajal K Das

    2025 21st International Conference on Distributed Computing in Smart Systems …, 2025, pp. 99-108, IEEE (2025) · 3 citations

60. RLS3: RL-Based Synthetic Sample Selection to Enhance Spatial Reasoning in Vision-Language Models for Indoor Autonomous Perception

    Joshua R Waite, Md Zahid Hasan, Qisai Liu, Zhanhong Jiang, Chinmay Hegde, Soumik Sarkar

    Proceedings of the ACM/IEEE 16th International Conference on Cyber-Physical …, 2025, pp. 1-10 (2025) · 3 citations

    Project pageCode

61. SC-NeRF: NeRF-based Point Cloud Reconstruction using a Stationary Camera for Agricultural Applications

    Kibon Ku, Talukder Z Jubery, Elijah Rodriguez, Aditya Balu, Soumik Sarkar, Adarsh Krishnamurthy, Baskar Ganapathysubramanian

    Proceedings of the Computer Vision and Pattern Recognition Conference, 5472-5481, 2025, pp. 5472-5481 (2025) · 3 citations

    Code

62. Towards large reasoning models for agriculture

    Hossein Zaremehrjerdi, Shreyan Ganguly, Ashlyn Rairdin, Elizabeth Tranel, Benjamin Feuer, Juan Ignacio Di Salvo, Srikanth Panthulugiri, Hernan Torres Pacin, Victoria Moser, Sarah Jones, Joscif G Raigne, Yanben Shen, Heidi M Dornath, Aditya Balu, Adarsh Krishnamurthy, Asheesh K Singh, Arti Singh, Baskar Ganapathysubramanian, Chinmay Hegde, Soumik Sarkar

    arXiv preprint arXiv:2505.19259 (2025) · 5 citations

    Project pageCode

63. Decentralized relaxed smooth optimization with gradient descent methods

    Zhanhong Jiang, Aditya Balu, Soumik Sarkar

    arXiv preprint arXiv:2508.08413 (2025) · 3 citations

64. Automated Seizure Detection in Animal EEG Signals

    Shreyan Ganguly, Zhanhong Jiang, Nyzil Massey, Nikhil S. Rao, Thimmasettappa Thippeswamy, Soumik Sarkar

    bioRxiv (Cold Spring Harbor Laboratory), Cold Spring Harbor Laboratory (2025) · 0 citations · DOI: 10.1101/2025.11.04.686618

65. Reinforcement Learning for Autonomous Point-to-Point UAV Navigation

    Salim Oyinlola, Nitesh Subedi, Soumik Sarkar

    arXiv preprint arXiv:2509.13943 (2025) · 0 citations

66. Data-driven Kinematic Modeling in Soft Robots: System Identification and Uncertainty Quantification

    Zhanhong Jiang, Dylan Shah, Hsin-Jung Yang, Soumik Sarkar

    5th Modeling, Estimation and Control Conference (MECC 2025) (2025) · 0 citations

67. Latent safety-constrained policy approach for safe offline reinforcement learning

    Prajwal Koirala, Zhanhong Jiang, Soumik Sarkar, Cody Fleming

    International Conference on Learning Representations (ICLR 2025) (2025) · 8 citations

    Code

68. Evaluating NeRFs for 3D Plant Geometry Reconstruction in Field Conditions

    Muhammad Arshad Arbab, Talukder Zaki Jubery, James Afful, Anushrut Jignasu, Aditya Balu, Baskar Ganapathysubramanian, Soumik Sarkar, Adarsh Krishnamurthy

    Iowa State University Digital Repository (Iowa State University) (2024)

69. Cyber-agricultural systems for crop breeding and sustainable production

    Soumik Sarkar, Baskar Ganapathysubramanian, Arti Singh, Fateme Fotouhi, Soumyashree Kar, Koushik Nagasubramanian, Girish Chowdhary, Sajal K Das, George Kantor, Adarsh Krishnamurthy, Nirav Merchant, Asheesh K Singh

    Trends in Plant Science 29 (2), 130-149, 2024, Vol. 29, pp. 130-149, Elsevier (2024) · 89 citations

70. Evaluating neural radiance fields for 3D plant geometry reconstruction in field conditions

    Muhammad Arbab Arshad, Talukder Jubery, James Afful, Anushrut Jignasu, Aditya Balu, Baskar Ganapathysubramanian, Soumik Sarkar, Adarsh Krishnamurthy

    Plant Phenomics, Vol. 6, pp. 0235, AAAS (2024) · 58 citations

    Code

71. Biotrove: A large curated image dataset enabling ai for biodiversity

    Chih-Hsuan Yang, Benjamin Feuer, Talukder Jubery, Zi Deng, Andre Nakkab, Md Zahid Hasan, Shivani Chiranjeevi, Kelly Marshall, Nirmal Baishnab, Asheesh Singh, Arti Singh, Soumik Sarkar, Nirav Merchant, Chinmay Hegde, Baskar Ganapathysubramanian

    Advances in Neural Information Processing Systems, Vol. 37, pp. 102101-102120 (2024) · 33 citations

    Project pageCode

72. Smart connected farms and networked farmers to improve crop production, sustainability and profitability

    Asheesh K Singh, Behzad J Balabaygloo, Barituka Bekee, Samuel W Blair, Suzanne Fey, Fateme Fotouhi, Ashish Gupta, Amit Jha, Jorge C Martinez-Palomares, Kevin Menke, Aaron Prestholt, Vishesh K Tanwar, Xu Tao, Anusha Vangala, Matthew E Carroll, Sajal K Das, Guilherme DePaula, Peter Kyveryga, Soumik Sarkar, Michelle Segovia, Simone Silvestri, Corinne Valdivia

    Frontiers in Agronomy 6, 1410829, 2024, Vol. 6, pp. 1410829, Frontiers Media SA (2024) · 32 citations

73. NeuFENet: neural finite element solutions with theoretical bounds for parametric PDEs

    Biswajit Khara, Aditya Balu, Ameya Joshi, Soumik Sarkar, Chinmay Hegde, Adarsh Krishnamurthy, Baskar Ganapathysubramanian

    Engineering with Computers, Vol. 40, pp. 2761-2783, Springer London (2024) · 29 citations

74. Zero‐shot insect detection via weak language supervision

    Benjamin Feuer, Ameya Joshi, Minsu Cho, Shivani Chiranjeevi, Zi Kang Deng, Aditya Balu, Asheesh K Singh, Soumik Sarkar, Nirav Merchant, Arti Singh, Baskar Ganapathysubramanian, Chinmay Hegde

    The Plant Phenome Journal, Vol. 7, pp. e20107 (2024) · 22 citations

75. Multi‐sensor and multi‐temporal high‐throughput phenotyping for monitoring and early detection of water‐limiting stress in soybean

    Sarah E Jones, Timilehin T Ayanlade, Benjamin Fallen, Talukder Z Jubery, Arti Singh, Baskar Ganapathysubramanian, Soumik Sarkar, Asheesh K Singh

    The Plant Phenome Journal, Vol. 7, pp. e70009 (2024) · 21 citations

76. Latent diffusion models for structural component design

    Ethan Herron, Jaydeep Rade, Anushrut Jignasu, Baskar Ganapathysubramanian, Aditya Balu, Soumik Sarkar, Adarsh Krishnamurthy

    Computer-Aided Design, Vol. 171, pp. 103707, Elsevier (2024) · 19 citations

    Code

77. Out-of-distribution detection algorithms for robust insect classification

    Mojdeh Saadati, Aditya Balu, Shivani Chiranjeevi, Talukder Zaki Jubery, Asheesh K Singh, Soumik Sarkar, Arti Singh, Baskar Ganapathysubramanian

    Plant Phenomics, Vol. 6, pp. 0170, AAAS (2024) · 19 citations

78. Metabolic response to small molecule therapy in colorectal cancer tracked with Raman spectroscopy and metabolomics

    Gabriel Cutshaw, Neeraj Joshi, Xiaona Wen, Elizabeth Quam, Galina Bogatcheva, Nora Hassan, Saji Uthaman, Joshua Waite, Soumik Sarkar, Bhuminder Singh, Rizia Bardhan

    Angewandte Chemie International Edition, Vol. 63, pp. e202410919 (2024) · 15 citations

79. Unified control of diverse actions in a wastewater treatment activated sludge system using reinforcement learning for multi-objective optimization

    Henry C Croll, Kaoru Ikuma, Say Kee Ong, Soumik Sarkar

    Water Research, Vol. 263, pp. 122179, Pergamon (2024) · 15 citations

80. Neural pde solvers for irregular domains

    Biswajit Khara, Ethan Herron, Aditya Balu, Dhruv Gamdha, Chih-Hsuan Yang, Kumar Saurabh, Anushrut Jignasu, Zhanhong Jiang, Soumik Sarkar, Chinmay Hegde, Baskar Ganapathysubramanian, Adarsh Krishnamurthy

    Computer-Aided Design, Vol. 172, pp. 103709, Elsevier (2024) · 12 citations

81. Dominating Set Model Aggregation for communication-efficient decentralized deep learning

    Fateme Fotouhi, Aditya Balu, Zhanhong Jiang, Yasaman Esfandiari, Salman Jahani, Soumik Sarkar

    Neural Networks, Vol. 171, pp. 25-39, Pergamon (2024) · 11 citations

82. Multi-modal AI for ultra-precision agriculture

    Timilehin T Ayanlade, Sarah E Jones, Liza Van der Laan, Souradeep Chattopadhyay, Dinakaran Elango, Joscif Raigne, Ankur Saxena, Arti Singh, Baskar Ganapathysubramanian, Asheesh K Singh, Soumik Sarkar

    Harnessing Data Science for Sustainable Agriculture and Natural Resource …, 2024, pp. 299-334, Springer Nature Singapore (2024) · 9 citations

83. Leveraging soil mapping and machine learning to improve spatial adjustments in plant breeding trials

    Matthew E Carroll, Luis G Riera, Bradley A Miller, Philip M Dixon, Baskar Ganapathysubramanian, Soumik Sarkar, Asheesh K Singh

    Crop Science, Vol. 64, pp. 3135-3152 (2024) · 9 citations

84. Soybean canopy stress classification using 3D point cloud data

    Therin J Young, Shivani Chiranjeevi, Dinakaran Elango, Soumik Sarkar, Asheesh K Singh, Arti Singh, Baskar Ganapathysubramanian, Talukder Z Jubery

    Agronomy, Vol. 14, pp. 1181, MDPI (2024) · 9 citations

85. Predicting the onset of preeclampsia by longitudinal monitoring of metabolic changes throughout pregnancy with Raman spectroscopy

    Saman Ghazvini, Saji Uthaman, Lilly Synan, Eugene C Lin, Soumik Sarkar, Mark K Santillan, Donna A Santillan, Rizia Bardhan

    Bioengineering & translational medicine, Vol. 9, pp. e10595, John Wiley & Sons, Inc. (2024) · 8 citations

86. Persistent monitoring of insect-pests on sticky traps through hierarchical transfer learning and slicing-aided hyper inference

    Fateme Fotouhi, Kevin Menke, Aaron Prestholt, Ashish Gupta, Matthew E Carroll, Hsin-Jung Yang, Edwin J Skidmore, Matthew O’Neal, Nirav Merchant, Sajal K Das, Peter Kyveryga, Baskar Ganapathysubramanian, Asheesh K Singh, Arti Singh, Soumik Sarkar

    Frontiers in Plant Science, Vol. 15, pp. 1484587, Frontiers Media SA (2024) · 7 citations

87. Aiira: AI institute for resilient agriculture

    Baskar Ganapathysubramanian, Jessica MP Bell, George Kantor, Nirav Merchant, Soumik Sarkar, Patrick S Schnable, Michelle Segovia, Arti Singh, Asheesh K Singh

    AI Magazine, Vol. 45, pp. 94-98 (2024) · 7 citations

88. Class‐specific data augmentation for plant stress classification

    Nasla Saleem, Aditya Balu, Talukder Zaki Jubery, Arti Singh, Asheesh K Singh, Soumik Sarkar, Baskar Ganapathysubramanian

    The Plant Phenome Journal, Vol. 7, pp. e20112 (2024) · 6 citations

    Code

89. Diagnosis of pregnancy disorder in the first‐trimester patient plasma with Raman spectroscopy and protein analysis

    Ansuja P Mathew, Gabriel Cutshaw, Olivia Appel, Meghan Funk, Lilly Synan, Joshua Waite, Saman Ghazvini, Xiaona Wen, Soumik Sarkar, Mark Santillan, Donna Santillan, Rizia Bardhan

    Bioengineering & translational medicine, Vol. 9, pp. e10691, John Wiley & Sons, Inc. (2024) · 6 citations

90. An LSTM-based approach to detect transition to lean blowout in swirl-stabilized dump combustion systems

    Tryambak Gangopadhyay, Somnath De, Qisai Liu, Achintya Mukhopadhyay, Swarnendu Sen, Soumik Sarkar

    Energy and AI, Vol. 16, pp. 100334, Elsevier (2024) · 5 citations

91. A study of natural robustness of deep reinforcement learning algorithms towards adversarial perturbations

    Qisai Liu, Xian Yeow Lee, Soumik Sarkar

    AI Open, Vol. 5, pp. 126-141, Elsevier (2024) · 4 citations

92. A unified convergence theory for large language model efficient fine-tuning

    Zhanhong Jiang, Nastaran Saadati, Aditya Balu, Minh Pham, Joshua Russell Waite, Nasla Saleem, Chinmay Hegde, Soumik Sarkar

    OPT 2024: Optimization for Machine Learning, 2024 (2024) · 3 citations

93. Assisted few-shot learning for vision-language models in agricultural stress phenotype identification

    Muhammad Arbab Arshad, Talukder Zaki Jubery, Asheesh K Singh, Arti Singh, Chinmay Hegde, Baskar Ganapathysubramanian, Aditya Balu, Adarsh Krishnamurthy, Soumik Sarkar

    Adaptive Foundation Models: Evolving AI for Personalized and Efficient Learning, 2024 (2024) · 3 citations

94. In the Mix: A Workshop Merging Computational Chemistry and Electrochemistry Alongside Data Science

    Rebekah Duke, Amelia Sweet, Nathan C Stumme, Ramin Ordikhani-Seyedlar, Souradeep Chattopadhyay, Chih-Hsuan Yang, Hsin-Jung Yang, Anton S Perera, Lisa Green, Kyle Endres, Mary E Losch, Baskar Ganapathysubramanian, Sara E Mason, Soumik Sarkar, Scott K Shaw, Chad Risko, Judith L Jenkins, Craig M Teague

    Journal of chemical education, Vol. 101, pp. 5060-5067, American Chemical Society and Division of Chemical Education, Inc. (2024) · 2 citations

95. A pythagorean fuzzy approach to evaluate the challenges to implementing circular economy in the glass manufacturing industry: Implications for sustainable development

    Zulficar Niaz Tushar, Shah Murtoza Morshed, Afia Ahsan, Soumik Sarkar, A.B.M. Mainul Bari, Abu Reza Md. Towfiqul Islam

    Results in Engineering, Vol. 24, pp. 102911-102911, Elsevier BV (2024) · 17 citations · DOI: 10.1016/j.rineng.2024.102911

96. The impact of market orientation and brand storytelling on Shark Tank evaluations – a B2B and large language modeling perspective

    Priyanka Jayashankar, Tirtho Roy, Souradeep Chattopadhyay, Muhammad Arshad, Soumik Sarkar

    Journal of Business and Industrial Marketing, Vol. 40, pp. 265-280, Emerald Publishing Limited (2024) · 4 citations · DOI: 10.1108/jbim-10-2024-0811

    Project page

97. Optimizing tourist flows through operative carrying capacity assessment: The case of Bakkhali coastal tourism, W.B., India

    Suchandra Bardhan, Soumik Sarkar

    Sustainable Social Development, Vol. 2, pp. 2550-2550 (2024) · 3 citations · DOI: 10.54517/ssd.v2i3.2550

98. Dimat: Decentralized iterative merging-and-training for deep learning models

    Nastaran Saadati, Minh Pham, Nasla Saleem, Joshua R Waite, Aditya Balu, Zhanong Jiang, Chinmay Hegde, Soumik Sarkar

    Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2024, pp. 27517-27527 (2024) · 7 citations

    Code

99. GENESIS-RL: GEnerating natural edge-cases with systematic integration of safety considerations and reinforcement learning

    Hsin-Jung Yang, Joe Beck, Md Zahid Hasan, Ekin Beyazit, Subhadeep Chakraborty, Tichakorn Wongpiromsarn, Soumik Sarkar

    2024 IEEE International Automated Vehicle Validation Conference (IAVVC), 1-8, 2024, pp. 1-8, IEEE (2024) · 5 citations

    Project page

100. SDFConnect: Neural implicit surface reconstruction of a sparse point cloud with topological constraints

     Anushrut Jignasu, Aditya Balu, Soumik Sarkar, Chinmay Hegde, Baskar Ganapathysubramanian, Adarsh Krishnamurthy

     Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2024, pp. 5271-5279 (2024) · 5 citations

101. Fast Certification of Vision-Language Models Using Incremental Randomized Smoothing

     Ashutosh Nirala, Ameya Joshi, Soumik Sarkar, Chinmay Hegde

     2024 IEEE Conference on Secure and Trustworthy Machine Learning (SaTML), 252-271, 2024, pp. 252-271, IEEE (2024) · 3 citations

102. 3d reconstruction of protein structures from multi-view afm images using neural radiance fields (nerfs)

     Jaydeep Rade, Ethan Herron, Soumik Sarkar, Anwesha Sarkar, Adarsh Krishnamurthy

     Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2024, pp. 8290-8295 (2024) · 3 citations

103. Understanding the Potential for Reinforcement Learning-Based WRRF Control Optimization

     Henry C. Croll, Kaoru Ikuma, Say Kee Ong, Soumik Sarkar

     Proceedings of the Water Environment Federation, Water Environment Federation (2024) · 0 citations · DOI: 10.2175/193864718825159612

104. Flowbench: A large scale benchmark for flow simulation over complex geometries

     Ronak Tali, Ali Rabeh, Cheng-Hau Yang, Mehdi Shadkhah, Samundra Karki, Abhisek Upadhyaya, Suriya Dhakshinamoorthy, Marjan Saadati, Soumik Sarkar, Adarsh Krishnamurthy, Chinmay Hegde, Aditya Balu, Baskar Ganapathysubramanian

     arXiv preprint arXiv:2409.18032 (2024) · 18 citations

105. Fawac: Feasibility informed advantage weighted regression for persistent safety in offline reinforcement learning

     Prajwal Koirala, Zhanhong Jiang, Soumik Sarkar, Cody Fleming

     arXiv preprint arXiv:2412.08880 (2024) · 5 citations

106. Geometry matters: benchmarking scientific ml approaches for flow prediction around complex geometries

     Ali Rabeh, Ethan Herron, Aditya Balu, Soumik Sarkar, Chinmay Hegde, Adarsh Krishnamurthy, Baskar Ganapathysubramanian

     arXiv preprint arXiv:2501.01453 (2024) · 4 citations

     Code

107. STITCH: Surface reconstrucTion using Implicit neural representations with Topology Constraints and persistent Homology

     Anushrut Jignasu, Ethan Herron, Zhanhong Jiang, Soumik Sarkar, Chinmay Hegde, Baskar Ganapathysubramanian, Aditya Balu, Adarsh Krishnamurthy

     arXiv preprint arXiv:2412.18696 (2024) · 2 citations

     Code

108. Virtual Simulator for the Iter Agile Robot Transporter with an Inverse Kinematic Algorithm Considering Joint Limits and Collision Avoidance

     Chang-Hwan Choi, Jonas Kynde, Soumik Sarkar, David Hamilton, Raphael Hery, Jim Palmer

     SSRN Electronic Journal, RELX Group (Netherlands) (2024) · 0 citations · DOI: 10.2139/ssrn.4909876

109. Incorporating System-level Safety Requirements in Perception Models via Reinforcement Learning

     Weisi Fan, J. Lindsey Lane, Qisai Liu, Soumik Sarkar, Tichakorn Wongpiromsarn

     arXiv preprint arXiv:2412.02951 (2024) · 0 citations

110. Vision-Language Models can Identify Distracted Driver Behavior from Naturalistic Videos

     Md Zahid Hasan, Jiajing Chen, Jiyang Wang, Mohammed Shaiqur Rahman, Ameya Joshi, Senem Velipasalar, Chinmay Hegde, Anuj Sharma, Soumik Sarkar

     IEEE Transactions on Intelligent Transportation Systems, Vol. 25, pp. 11602-11616 (2024) · 67 citations

     Code

111. Smart Connected Farms and Networked Farmers to Tackle Climate Challenges Impacting Agricultural Production

     Behzad J. Balabaygloo, Barituka Bekee, Samuel W. Blair, Suzanne Fey, Fateme Fotouhi, Ashish Gupta, Menke, Kevin, Anusha Vangala, Jorge C. Martinez-Palomares, Aaron Prestholt, Vishesh Kumar Tanwar, Tao, Xu, Matthew E. Carroll, Sajal Kumar Das, Depaula, Gil, Peter Kyveryga, Soumik Sarkar, Michelle S. Segovia, Simone Sylvestri, Corinne Valdivia, Singh, Asheesh K.

     arXiv (2023) · DOI: 10.48550/arxiv.2312.12338

112. Plant Geometry Reconstruction From Field Data Using Neural Radiance Fields

     A. Jignasu, E. Herron, T. Z. Jubery, J. Afful, A. Balu, B. Ganapathysubramanian, S. Sarkar, A. Krishnamurthy

     AAAI Workshop on AI for Agriculture and Food Systems, Washington D.C., Feb 14, 2023 (2023)

113. Deep Reinforcement Learning Exploration in Continuous Latent Space for Molecular Design

     H.-J. Yang, C.-H. Yang, P. Sornberger, R. Duke, C. Risko, B. Ganapathysubramanian, S. Sarkar

     AAAI Workshop on AI to Accelerate Science and Engineering, Washington D.C., Feb 13, 2023 (2023)

114. A physics-informed feature weighting method for bearing fault diagnostics

     Hao Lu, Venkat Pavan Nemani, Vahid Barzegar, Cade Allen, Chao Hu, Simon Laflamme, Soumik Sarkar, Andrew T Zimmerman

     Mechanical Systems and Signal Processing, Vol. 191, pp. 110171, Academic Press (2023) · 77 citations

115. Systematic performance evaluation of reinforcement learning algorithms applied to wastewater treatment control optimization

     Henry C Croll, Kaoru Ikuma, Say Kee Ong, Soumik Sarkar

     Environmental Science & Technology, Vol. 57, pp. 18382-18390, American Chemical Society (2023) · 52 citations

116. Few-shot deep learning for AFM force curve characterization of single-molecule interactions

     Joshua R Waite, Sin Yong Tan, Homagni Saha, Soumik Sarkar, Anwesha Sarkar

     Patterns, Vol. 4, Elsevier (2023) · 27 citations

117. “Canopy fingerprints” for characterizing three-dimensional point cloud data of soybean canopies

     Therin J Young, Talukder Z Jubery, Clayton N Carley, Matthew Carroll, Soumik Sarkar, Asheesh K Singh, Arti Singh, Baskar Ganapathysubramanian

     Frontiers in plant science, Vol. 14, pp. 1141153, Frontiers Media SA (2023) · 24 citations

118. Self‐supervised learning improves classification of agriculturally important insect pests in plants

     Soumyashree Kar, Koushik Nagasubramanian, Dinakaran Elango, Matthew E Carroll, Craig A Abel, Ajay Nair, Daren S Mueller, Matthew E O'Neal, Asheesh K Singh, Soumik Sarkar, Baskar Ganapathysubramanian, Arti Singh

     The Plant Phenome Journal, Vol. 6, pp. e20079 (2023) · 22 citations

119. First trimester prediction of preterm birth in patient plasma with machine-learning-guided Raman spectroscopy and metabolomics

     Lilly Synan, Saman Ghazvini, Saji Uthaman, Gabriel Cutshaw, Che-Yu Lee, Joshua Waite, Xiaona Wen, Soumik Sarkar, Eugene Lin, Mark Santillan, Donna Santillan, Rizia Bardhan

     ACS applied materials & interfaces, Vol. 15, pp. 38185-38200, American Chemical Society (2023) · 19 citations

120. Deep learning-based 3D multigrid topology optimization of manufacturable designs

     Jaydeep Rade, Anushrut Jignasu, Ethan Herron, Ashton Corpuz, Baskar Ganapathysubramanian, Soumik Sarkar, Aditya Balu, Adarsh Krishnamurthy

     Engineering Applications of Artificial Intelligence, Vol. 126, pp. 107033, Pergamon (2023) · 18 citations

121. 3D reconstruction of plants using probabilistic voxel carving

     Jiale Feng, Mojdeh Saadati, Talukder Jubery, Anushrut Jignasu, Aditya Balu, Yawei Li, Lakshmi Attigala, Patrick S Schnable, Soumik Sarkar, Baskar Ganapathysubramanian, Adarsh Krishnamurthy

     Computers and Electronics in Agriculture, Vol. 213, pp. 108248, Elsevier (2023) · 17 citations

122. Roadway weather challenges illuminate real‐world driving biomarkers of dementia risk

     Md Zahid Hasan, Guillermo Basulto‐Elias, Russell Kai Liang Tan, Jun Ha Chang, Soumik Sarkar, Anuj Sharma, Shauna Hallmark, Matthew Rizzo, Jennifer Merickel

     Alzheimer's & Dementia, Vol. 19, pp. e075742 (2023) · 5 citations

123. A comprehensive study on soybean yield prediction using soil and hyperspectral reflectance data

     Souradeep Chattopadhyay, Aditya Gupta, Matthew Carroll, Joscif Raigne, Baskar Ganapathysubramanian, Asheesh Singh, Soumik Sarkar

     Multidisciplinary Digital Publishing Institute, 2023, Multidisciplinary Digital Publishing Institute (2023) · 5 citations

124. Reinforcement learning applied to wastewater treatment process control optimization: Approaches, challenges, and path forward

     Henry C. Croll, Kaoru Ikuma, Say Kee Ong, Soumik Sarkar

     Critical Reviews in Environmental Science and Technology, Vol. 53, pp. 1775-1794, Taylor & Francis (2023) · 59 citations · DOI: 10.1080/10643389.2023.2183699

125. Digital assistances in remote operations for ITER test blanket system replacement: An experimental validation

     Olivier David, Soumik Sarkar, Nolwenn Kammerer, Coline Nantermoz, Fabrice Mayran de Chamisso, Boris Meden, J.P. Friconneau, Jean-Pierre Martins

     Fusion Engineering and Design, Vol. 188, pp. 113425-113425, Elsevier BV (2023) · 3 citations · DOI: 10.1016/j.fusengdes.2023.113425

126. Out-of-distribution algorithms for robust insect classification

     Mojdeh Saadati, Shivani Chiranjeevi, Aditya Balu, Talukder Zaki Jubery, Asheesh K Singh, Soumik Sarkar, Arti Singh, Baskar Ganapathysubramanian

     2nd AAAI Workshop on AI for Agriculture and Food Systems, 2023 (2023) · 3 citations

127. Data driven ensemble learning for soybean yield prediction

     Souradeep Chattopadhyay, Matthew Eden Carroll, Baskar Ganapathysubramanian, Asheesh K Singh, Soumik Sarkar

     2nd AAAI Workshop on AI for Agriculture and Food Systems, 2023 (2023) · 3 citations

128. Deep learning powered real-time identification of insects using citizen science data

     Shivani Chiranjeevi, Mojdeh Sadaati, Zi K Deng, Jayanth Koushik, Talukder Z Jubery, Daren Mueller, Matthew EO Neal, Nirav Merchant, Aarti Singh, Asheesh K Singh, Soumik Sarkar, Arti Singh, Baskar Ganapathysubramanian

     arXiv preprint arXiv:2306.02507 (2023) · 24 citations

129. Active shooter detection and robust tracking utilizing supplemental synthetic data

     Joshua R Waite, Jiale Feng, Riley Tavassoli, Laura Harris, Sin Yong Tan, Subhadeep Chakraborty, Soumik Sarkar

     arXiv preprint arXiv:2309.03381 (2023) · 2 citations

130. SpecXAI--Spectral interpretability of deep learning models

     Stefan Druc, Peter Wooldridge, Adarsh Krishnamurthy, Soumik Sarkar, Aditya Balu

     arXiv preprint arXiv:2302.09949 (2023) · 2 citations

131. Enhancing System-level Safety in Autonomous Driving via Feedback Learning

     S. Y. Tan, W. Fan, Q. Liu, T. Wongpiromsarn, S. Sarkar

     Machine Learning for Autonomous Driving Workshop at NeurIPS, New Orleans, LA, Dec 3, 2022 (2022)

132. DriveCLIP: Zero-shot transfer for distracted driving activity understanding using CLIP

     Z. Hasan, A. Joshi, M. Rahman, A. Venkatachalapathy, A. Sharma, C. Hegde, S. Sarkar

     Machine Learning for Autonomous Driving Workshop at NeurIPS, New Orleans, LA, Dec 3, 2022 (2022)

133. A Conservative Stochastic Contextual Bandit Based Framework for Farming Recommender Systems

     S. Moothedath, X. Y. Lee, Z. T. Jubery, B. Ganapathysubramanian, S. Sarkar

     AI for Agriculture and Food Systems Workshop in Thirty-Fifth AAAI Conference on Artificial Intelligence (AAAI), Virtual, February 22 – March 1, 2022 (2022)

134. Fast Unsupervised Generative Design for Structural Topology Optimization

     E. Herron, A. Jignasu, J. Rade, X. Y. Lee, A. Balu, A. Krishnamurthy, S. Sarkar

     AI for Design and Manufacturing Workshop in Thirty-Fifth AAAI Conference on Artificial Intelligence (AAAI), Virtual, February 22 – March 1, 2022 (2022)

135. Multimodal sensor fusion framework for residential building occupancy detection

     Sin Yong Tan, Margarite Jacoby, Homagni Saha, Anthony Florita, Gregor Henze, Soumik Sarkar

     Energy and buildings, Vol. 258, pp. 111828, Elsevier (2022) · 58 citations

136. A graph policy network approach for volt-var control in power distribution systems

     Xian Yeow Lee, Soumik Sarkar, Yubo Wang

     Applied Energy, Vol. 323, pp. 119530, Elsevier (2022) · 50 citations

137. Nurbs-diff: A differentiable programming module for nurbs

     Anjana Deva Prasad, Aditya Balu, Harshil Shah, Soumik Sarkar, Chinmay Hegde, Adarsh Krishnamurthy

     Computer-Aided Design, Vol. 146, pp. 103199, Elsevier (2022) · 48 citations

138. Deep learning for live cell shape detection and automated afm navigation

     Jaydeep Rade, Juntao Zhang, Soumik Sarkar, Adarsh Krishnamurthy, Juan Ren, Anwesha Sarkar

     Bioengineering, Vol. 9, pp. 522, MDPI (2022) · 35 citations

     Code

139. Deep learning-based phenotyping for genome wide association studies of sudden death syndrome in soybean

     Ashlyn Rairdin, Fateme Fotouhi, Jiaoping Zhang, Daren S Mueller, Baskar Ganapathysubramanian, Asheesh K Singh, Somak Dutta, Soumik Sarkar, Arti Singh

     Frontiers in plant science, Vol. 13, pp. 966244, Frontiers Media SA (2022) · 33 citations

140. Sensor data fusion for prognostics and health monitoring

     Michael J Giering, Madhusudana Shashanka, Soumik Sarkar, Vivek Venugopalan

     US Patent 11,340,602, 2022 (2022) · 19 citations

141. Multi-fidelity machine learning models for structure–property mapping of organic electronics

     Chih-Hsuan Yang, Balaji Sesha Sarath Pokuri, Xian Yeow Lee, Sangeeth Balakrishnan, Chinmay Hegde, Soumik Sarkar, Baskar Ganapathysubramanian

     Computational Materials Science, Vol. 213, pp. 111599, Elsevier (2022) · 15 citations

142. Physics-aware machine learning surrogates for real-time manufacturing digital twin

     Aditya Balu, Soumik Sarkar, Baskar Ganapathysubramanian, Adarsh Krishnamurthy

     Manufacturing Letters, Vol. 34, pp. 71-74, Elsevier (2022) · 11 citations

143. A modular vision language navigation and manipulation framework for long horizon compositional tasks in indoor environment

     Homagni Saha, Fateme Fotouhi, Qisai Liu, Soumik Sarkar

     Frontiers in Robotics and AI, Vol. 9, pp. 930486, Frontiers Media SA (2022) · 10 citations

     Code

144. Generative semantic domain adaptation for perception in autonomous driving

     Amitangshu Mukherjee, Ameya Joshi, Anuj Sharma, Chinmay Hegde, Soumik Sarkar

     Journal of big data analytics in transportation, Vol. 4, pp. 103-117, Springer Nature Singapore (2022) · 8 citations

145. Privacy-preserving deep models for plant stress phenotyping

     Minsu Cho, Koushik Nagasubramanian, Asheesh K Singh, Arti Singh, Baskar Ganapathysubramanian, Soumik Sarkar, Chinmay Hegde

     AI for Agriculture and Food Systems, 2022 (2022) · 6 citations

146. The stochastic augmented lagrangian method for domain adaptation

     Zhanhong Jiang, Chao Liu, Young M Lee, Chinmay Hegde, Soumik Sarkar, Dongxiang Jiang

     Knowledge-Based Systems, Vol. 235, pp. 107593, Elsevier (2022) · 4 citations

147. Deep implicit surface reconstruction of 3d plant geometry from point cloud

     Anjana Deva Prasad, Anushrut Jignasu, Zaki Jubery, Soumik Sarkar, Baskar Ganapathysubramanian, Aditya Balu, Adarsh Krishnamurthy

     AI for Agriculture and Food Systems, 2022 (2022) · 4 citations

148. Plant phenotyping with limited annotation: Doing more with less

     Koushik Nagasubramanian, Asheesh K. Singh, Arti Singh, Soumik Sarkar, Baskar Ganapathysubramanian

     The Plant Phenome Journal, Vol. 5, Wiley (2022) · 25 citations · DOI: 10.1002/ppj2.20051

149. Deep Reinforcement Learning for Robotic Control with Multi-Fidelity Models

     David Felipe Leguizamo, Hsin-Jung Yang, Xian Yeow Lee, Soumik Sarkar

     IFAC-PapersOnLine, Vol. 55, pp. 193-198, Elsevier BV (2022) · 11 citations · DOI: 10.1016/j.ifacol.2022.11.183

150. Determination of Service Quality of Bus Transit System Using SERVQUAL Method Based on User’s Perceptions and Expectations

     Soumik Sarkar, Mokaddes Ali Ahmed, Saikat Deb

     Lecture notes in civil engineering, pp. 461-474, Springer Nature (2022) · 3 citations · DOI: 10.1007/978-981-16-8259-9_30

151. 47 Plant Phenomics and Artificial Intelligence to Glean Information from Plant Sensing Technologies

     Soumik Sarkar

     Journal of Animal Science, Vol. 100, pp. 13-14, Oxford University Press (2022) · 0 citations · DOI: 10.1093/jas/skac064.022

152. MDPGT: momentum-based decentralized policy gradient tracking

     Zhanhong Jiang, Xian Yeow Lee, Sin Yong Tan, Kai Liang Tan, Aditya Balu, Young M Lee, Chinmay Hegde, Soumik Sarkar

     Proceedings of the AAAI conference on artificial intelligence, Vol. 36, pp. 9377-9385 (2022) · 13 citations

     Code

153. Sugar and stops in drivers with insulin-dependent type 1 diabetes

     Ashirwad Barnwal, Pranamesh Chakraborty, Anuj Sharma, Luis Riera-Garcia, Koray Ozcan, Sayedomidreza Davami, Soumik Sarkar, Matthew Rizzo, Jennifer Merickel

     Accident Analysis & Prevention, Vol. 173, pp. 106692, Pergamon (2022) · 11 citations

154. Stochastic conservative contextual linear bandits

     Jiabin Lin, Xian Yeow Lee, Talukder Jubery, Shana Moothedath, Soumik Sarkar, Baskar Ganapathysubramanian

     2022 IEEE 61st Conference on Decision and Control (CDC), 7321-7326, 2022, pp. 7321-7326, IEEE (2022) · 9 citations

155. Distributed online non-convex optimization with composite regret

     Zhanhong Jiang, Aditya Balu, Xian Yeow Lee, Young M Lee, Chinmay Hegde, Soumik Sarkar

     2022 58th Annual Allerton Conference on Communication, Control, and …, 2022, pp. 1-8, IEEE (2022) · 8 citations

156. Concept activation vectors for generating user-defined 3d shapes

     Stefan Druc, Aditya Balu, Peter Wooldridge, Adarsh Krishnamurthy, Soumik Sarkar

     Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022, pp. 2993-3000 (2022) · 6 citations

157. Generative design of material microstructures for organic solar cells using diffusion models

     Ethan Herron, Xian Yeow Lee, Aditya Balu, Balaji Sesha Sarath Pokuri, Baskar Ganapathysubramanian, Soumik Sarkar, Adarsh Krishnamurthy

     AI for Accelerated Materials Design NeurIPS 2022 Workshop, 2022 (2022) · 5 citations

     Code

158. Implementation and Investigation of Quantum Characteristics of Cytosine Single –walled Nanotube Transistor: A DFT Based Approach

     Debarati Dey Roy, Anirban Ghosal, Akash Biswas, Soumik Sarkar, Soutik Bera, Susmita Mukherjee, Debashis De

     2022 IEEE International Conference of Electron Devices Society Kolkata Chapter (EDKCON), Vol. 10, pp. 513-518 (2022) · 0 citations · DOI: 10.1109/edkcon56221.2022.10032941

159. 3d reconstruction of protein complex structures using synthesized multi-view afm images

     Jaydeep Rade, Soumik Sarkar, Anwesha Sarkar, Adarsh Krishnamurthy

     Machine Learning for Structural Biology Workshop, NeurIPS 2022 (2022) · 4 citations

160. Self-supervised agricultural insect pest classification

     Soumyashree Kar, Koushik Nagasubramanian, Dinakaran Elango, Ajay Nair, Daren Mueller, Matthew O’Neal, Asheesh Singh, Soumik Sarkar, Baskar Ganapathysubramanian, Arti Singh

     Authorea Preprints, Authorea (2022) · 3 citations

161. Asynchronous training schemes in distributed learning with time delay

     Haoxiang Wang, Zhanhong Jiang, Chao Liu, Soumik Sarkar, Dongxiang Jiang, Young M Lee

     arXiv preprint arXiv:2208.13154 (2022) · 3 citations

162. A deep learning approach to detect lean blowout in combustion systems

     Tryambak Gangopadhyay, Somnath De, Qisai Liu, Achintya Mukhopadhyay, Swarnendu Sen, Soumik Sarkar

     arXiv preprint arXiv:2208.01871 (2022) · 3 citations

163. Glucose Control, Sleep, Obesity, and Real-World Driver Safety at Stop Intersections in Type 1 Diabetes

     Ashirwad Barnwal, Anuj Sharma, Luis Riera-Garcia, Koray Özcan, Sayedomidreza Davami, Soumik Sarkar, Cyrus Desouza, Matthew Rizzo, Jennifer Merickel

     arXiv preprint arXiv:2207.07341 (2022) · 0 citations

164. NAPPN Annual Conference Abstract: Genome wide association study of sudden death syndrome in soybean using deep learning-based phenotyping

     Ashlyn Rairdin, Fateme Fotouhi, Jiaoping Zhang, Daren S. Mueller, Baskar Ganapathysubramanian, Asheesh K. Singh, Somak Dutta, Soumik Sarkar, Arti Singh

     Preprint (2022) · 0 citations · DOI: 10.22541/au.166497104.42473667/v1

165. Crop yield prediction integrating genotype and weather variables using deep learning

     Johnathon Shook, Tryambak Gangopadhyay, Linjiang Wu, Baskar Ganapathysubramanian, Soumik Sarkar, Asheesh K Singh

     Plos one, Vol. 16, pp. e0252402, Public Library of Science (2021) · 249 citations

166. Challenges and opportunities in machine-augmented plant stress phenotyping

     Arti Singh, Sarah Jones, Baskar Ganapathysubramanian, Soumik Sarkar, Daren Mueller, Kulbir Sandhu, Koushik Nagasubramanian

     Trends in Plant Science 26 (1), 53-69, 2021, Vol. 26, pp. 53-69, Elsevier (2021) · 246 citations

167. UAS-based plant phenotyping for research and breeding applications

     Wei Guo, Matthew E Carroll, Arti Singh, Tyson L Swetnam, Nirav Merchant, Soumik Sarkar, Asheesh K Singh, Baskar Ganapathysubramanian

     Plant Phenomics, 2021, AAAS (2021) · 151 citations

168. Algorithmically-consistent deep learning frameworks for structural topology optimization

     Jaydeep Rade, Aditya Balu, Ethan Herron, Jay Pathak, Rishikesh Ranade, Soumik Sarkar, Adarsh Krishnamurthy

     Engineering Applications of Artificial Intelligence, Vol. 106, pp. 104483, Pergamon (2021) · 71 citations

169. Fast inverse design of microstructures via generative invariance networks

     Xian Yeow Lee, Joshua R Waite, Chih-Hsuan Yang, Balaji Sesha Sarath Pokuri, Ameya Joshi, Aditya Balu, Chinmay Hegde, Baskar Ganapathysubramanian, Soumik Sarkar

     Nature Computational Science, Vol. 1, pp. 229-238, Nature Publishing Group US (2021) · 58 citations

170. High-throughput phenotyping in soybean

     Asheesh K Singh, Arti Singh, Soumik Sarkar, Baskar Ganapathysubramanian, William Schapaugh, Fernando E Miguez, Clayton N Carley, Matthew E Carroll, Mariana V Chiozza, Kevin O Chiteri, Kevin G Falk, Sarah E Jones, Talukder Z Jubery, Seyed V Mirnezami, Koushik Nagasubramanian, Kyle A Parmley, Ashlyn M Rairdin, Johnathon M Shook, Liza Van der Laan, Therin J Young, Jiaoping Zhang

     High-throughput crop phenotyping, 129-163, 2021, pp. 129-163, Springer International Publishing (2021) · 48 citations

171. Using machine learning to develop a fully automated soybean nodule acquisition pipeline (snap)

     Talukder Zaki Jubery, Clayton N Carley, Arti Singh, Soumik Sarkar, Baskar Ganapathysubramanian, Asheesh K Singh

     Plant Phenomics, AAAS (2021) · 46 citations

172. 3D convolutional selective autoencoder for instability detection in combustion systems

     Tryambak Gangopadhyay, Vikram Ramanan, Adedotun Akintayo, Paige K Boor, Soumalya Sarkar, Satyanarayanan R Chakravarthy, Soumik Sarkar

     Energy and AI, Vol. 4, pp. 100067, Elsevier (2021) · 43 citations

173. A high-fidelity residential building occupancy detection dataset

     Margarite Jacoby, Sin Yong Tan, Gregor Henze, Soumik Sarkar

     Scientific Data, Vol. 8, pp. 280, Nature Publishing Group UK (2021) · 36 citations

174. Root-cause analysis for time-series anomalies via spatiotemporal graphical modeling in distributed complex systems

     Chao Liu, Kin Gwn Lore, Zhanhong Jiang, Soumik Sarkar

     Knowledge-Based Systems, Vol. 211, pp. 106527, Elsevier (2021) · 31 citations

175. How useful is active learning for image‐based plant phenotyping?

     Koushik Nagasubramanian, Talukder Jubery, Fateme Fotouhi Ardakani, Seyed Vahid Mirnezami, Asheesh K Singh, Arti Singh, Soumik Sarkar, Baskar Ganapathysubramanian

     The Plant Phenome Journal, Vol. 4, pp. e20020 (2021) · 29 citations

176. Self-supervised learning improves agricultural pest classification

     Soumyashree Kar, Koushik Nagasubramanian, Dinakaran Elango, Ajay Nair, Daren S Mueller, Matthew E O’Neal, Asheesh K Singh, Soumik Sarkar, Baskar Ganapathysubramanian, Arti Singh

     AI for agriculture and food systems (2021) · 20 citations

177. A fast saddle-point dynamical system approach to robust deep learning

     Yasaman Esfandiari, Aditya Balu, Keivan Ebrahimi, Umesh Vaidya, Nicola Elia, Soumik Sarkar

     Neural Networks, Vol. 139, pp. 33-44, Pergamon (2021) · 16 citations

178. Whisper: wireless home identification and sensing platform for energy reduction

     Margarite Jacoby, Sin Yong Tan, Mohamad Katanbaf, Ali Saffari, Homagni Saha, Zerina Kapetanovic, Jasmine Garland, Anthony Florita, Gregor Henze, Soumik Sarkar, Joshua Smith

     Journal of Sensor and Actuator Networks, Vol. 10, pp. 71, MDPI (2021) · 13 citations

179. On consensus-optimality trade-offs in collaborative deep learning

     Zhanhong Jiang, Aditya Balu, Chinmay Hegde, Soumik Sarkar

     Frontiers in artificial intelligence, Vol. 4, pp. 573731, Frontiers Media SA (2021) · 13 citations

180. Neural-network model for force prediction in multi-principal-element alloys

     Rahul Singh, Prashant Singh, Aayush Sharma, OR Bingol, Aditya Balu, Ganesh Balasubramanian, Adarsh Krishnamurthy, Soumik Sarkar, Duane D Johnson

     Computational Materials Science, Vol. 198, pp. 110693, Elsevier (2021) · 10 citations

181. AI guided measurement of live cells using AFM

     Jaydeep Rade, Juntao Zhang, Soumik Sarkar, Adarsh Krishnamurthy, Juan Ren, Anwesha Sarkar

     IFAC-PapersOnLine, Vol. 54, pp. 316-321, Elsevier (2021) · 8 citations

182. Exploring the use of 3d point cloud data for improved plant stress rating

     Shivani Chiranjeevi, Therin Young, Talukder Zaki Jubery, Koushik Nagasubramanian, Soumik Sarkar, Asheesh K Singh, Arti Singh, Baskar Ganapathysubramanian

     AI for agriculture and food systems, 2021 (2021) · 7 citations

183. Few shot clustering for indoor occupancy detection with extremely low quality images from battery free cameras

     Homagni Saha

     Iowa State University, 2021 (2021) · 7 citations

184. Differentiable spline approximations

     Minsu Cho, Aditya Balu, Ameya Joshi, Anjana Deva Prasad, Biswajit Khara, Soumik Sarkar, Baskar Ganapathysubramanian, Adarsh Krishnamurthy, Chinmay Hegde

     Advances in neural information processing systems, Vol. 34, pp. 20270-20282 (2021) · 6 citations

     Code

185. Multi-resolution 3D CNN for learning multi-scale spatial features in CAD models

     Sambit Ghadai, Xian Yeow Lee, Aditya Balu, Soumik Sarkar, Adarsh Krishnamurthy

     Computer Aided Geometric Design, Vol. 91, pp. 102038, North-Holland (2021) · 6 citations

186. Deep learning for fast atomic force microscopy data analytics

     Anwesha Sarkar, Joshua Waite, Soumik Sarkar

     Biophysical Journal, Vol. 120, pp. 283a, Elsevier (2021) · 5 citations

187. Preterm birth is associated with reduction of maternal telomere length during pregnancy

     Soumi Sarkar, Karishma Godara, Sumanta Sarkar, Shekhar Ghosh, Arpita Maity, GARBH-Ini Team, Brahmdeep Sindhu, Shinjini Bhatnagar, Partha P Majumder, Nitya Wadhwa, Arindam Maitra

     (2021) · 3 citations

188. Deep Multiview Image Fusion for Soybean Yield Estimation in Breeding Applications

     Luis G. Riera, Matthew E. Carroll, Zhisheng Zhang, Johnathon M. Shook, Sambuddha Ghosal, Tianshuang Gao, Arti Singh, Sourabh Bhattacharya, Baskar Ganapathysubramanian, Asheesh K. Singh, Soumik Sarkar

     Plant Phenomics, Vol. 2021, pp. 9846470-9846470, American Association for the Advancement of Science (2021) · 58 citations · DOI: 10.34133/2021/9846470

189. A Framework for Predicting Placement of a Graduate Using Machine Learning Techniques

     Amrut Ranjan Jena, Subhajit Pati, Snehashis Chakraborty, Soumik Sarkar, Subarna Guin, Sourav Mallick, Santanu Sen

     Studies in autonomic, data-driven and industrial computing, pp. 197-206, Springer Nature (2021) · 4 citations · DOI: 10.1007/978-981-16-4301-9_15

190. LULC Change Detection Studies and Its Possible Linkages with Increased Visitations in the Sagar Island, W.B.

     Soumik Sarkar, Suchandra Bardhan, Pranabes Sanyal

     International Journal of Engineering Trends and Technology, Vol. 69, pp. 49-61 (2021) · 3 citations · DOI: 10.14445/22315381/ijett-v69i8p207

191. Localized Uncertainty Quantification for Baseline Building Energy Modeling

     Abhishek Srivastav, Ashutosh Tewari, Soumik Sarkar, Bing Dong

     River Publishers eBooks, pp. 291-306 (2021) · 0 citations · DOI: 10.1201/9781003151906-26

192. A Machine Learning Framework for Decision Support in Design and Manufacturing

     Aditya Balu, Sambit Ghadai, Gavin Young, Soumik Sarkar, Adarsh Krishnamurthy

     ASME eBooks, pp. 479-498 (2021) · 0 citations · DOI: 10.1115/1.862025_ch15

193. Spatiotemporal attention for multivariate time series prediction and interpretation

     Tryambak Gangopadhyay, Sin Yong Tan, Zhanhong Jiang, Rui Meng, Soumik Sarkar

     ICASSP 2021-2021 IEEE international conference on acoustics, speech and …, 2021, pp. 3560-3564, IEEE (2021) · 92 citations

194. Cross-gradient aggregation for decentralized learning from non-iid data

     Yasaman Esfandiari, Sin Yong Tan, Zhanhong Jiang, Aditya Balu, Ethan Herron, Chinmay Hegde, Soumik Sarkar

     International conference on machine learning, 3036-3046, 2021, pp. 3036-3046, PMLR (2021) · 69 citations

195. Query-based targeted action-space adversarial policies on deep reinforcement learning agents

     Xian Yeow Lee, Yasaman Esfandiari, Kai Liang Tan, Soumik Sarkar

     Proceedings of the ACM/IEEE 12th international conference on cyber-physical …, 2021, pp. 87-97 (2021) · 47 citations

196. Battery-free camera occupancy detection system

     Ali Saffari, Sin Yong Tan, Mohamad Katanbaf, Homagni Saha, Joshua R Smith, Soumik Sarkar

     Proceedings of the 5th international workshop on embedded and mobile deep …, 2021, pp. 13-18 (2021) · 31 citations

197. Distributed multigrid neural solvers on megavoxel domains

     Aditya Balu, Sergio Botelho, Biswajit Khara, Vinay Rao, Soumik Sarkar, Chinmay Hegde, Adarsh Krishnamurthy, Santi Adavani, Baskar Ganapathysubramanian

     Proceedings of the International Conference for High Performance Computing …, 2021, pp. 1-14 (2021) · 10 citations

198. Distributed deep learning for persistent monitoring of agricultural fields

     Yasaman Esfandiari, Koushik Nagasubramanian, Fateme Fotouhi, Patrick S Schnable, Baskar Ganapathysubramanian, Soumik Sarkar

     NeurIPS 2021 AI for science workshop, 2021 (2021) · 10 citations

199. Inverse design of microstructures via generative networks for organic solar cells

     Xian Yeow Lee, Aditya Balu, Balaji Sesha Sarath Pokuri, Adarsh Krishnamurthy, Soumik Sarkar, Baskar Ganapathysubramanian

     AAAI 2022 Workshop on AI for Design and Manufacturing (ADAM), 2021 (2021) · 2 citations

200. Multigrid Distributed Deep CNNs for Structural Topology Optimization

     Jaydeep Rade, Aditya Balu, Ethan Herron, Anushrut Jignasu, Sergio Botelho, Santi Adavani, Soumik Sarkar, Baskar Ganapathysubramanian, Adarsh Krishnamurthy

     AAAI 2022 Workshop on AI for Design and Manufacturing (ADAM), 2021 (2021) · 2 citations

201. Cross-modal virtual sensing for combustion instability monitoring

     Tryambak Gangopadhyay, Vikram Ramanan, Satyanarayanan R Chakravarthy, Soumik Sarkar

     arXiv preprint arXiv:2110.01659 (2021) · 3 citations

202. ndsintxn: An R package for extracting information from naturalistic driving data to support driver behavior analyses at intersections

     Ashirwad Barnwal, Jennifer Merickel, Matthew Rizzo, Luis Riera-Garcia, Soumik Sarkar, Anuj Sharma

     arXiv preprint arXiv:2108.04346 (2021) · 3 citations

203. Nurbs-diff: A differentiable nurbs layer for machine learning CAD applications

     Anjana Deva Prasad, Aditya Balu, Harshil Shah, Soumik Sarkar, Adarsh Krishnamurthy

     arXiv preprint arXiv:2104.14547 (2021) · 2 citations

     Code

204. Decentralized Deep Learning Using Momentum-Accelerated Consensus

     Aditya Balu, Zhanhong Jiang, Sin Yong Tan, Chinmay Hedge, Young Moo Lee, Soumik Sarkar

     Preprint, pp. 3675-3679 (2021) · 4 citations · DOI: 10.1109/icassp39728.2021.9414564

205. DiffNet: Neural Field Solutions of Parametric Partial Differential Equations

     Biswajit Khara, Aditya Balu, Ameya Joshi, Soumik Sarkar, Chinmay Hegde, Adarsh Krishnamurthy, Baskar Ganapathysubramanian

     arXiv preprint arXiv:2110.01601 (2021) · 0 citations

206. Adaptive Gradient Tracking In Stochastic Optimization

     Z. Jiang, X.Y. Lee, S.Y Tan, A. Balu, Y.M. Lee, C. Hegde, S. Sarkar

     Optimization for Machine Learning Workshop, Neural Information Processing Systems (NeurIPS), Virtual, December 6-12, 2020 (2020)

207. Solving Linear PDEs with Generative Models

     A. Joshi, B. Khara, S. Sarkar, B. Ganapathysubramanian, C. Hedge

     ASILOMAR 2020 Conference on Signals, Systems, and Computers, Pacific Grove, CA, November 1-4, 2020 (2020)

208. Automatic Lane Detection Algorithm For Noisy Naturalistic Driving Data

     L. Riera, K. Ozcan, J. Merickel, M. Rizzo, S. Sarkar, A. Sharma

     IEEE Intelligent Vehicle Symposium (IV), (Las Vegas), June 23-26, 2020 (2020)

209. Computer vision and machine learning enabled soybean root phenotyping pipeline

     Kevin G Falk, Talukder Z Jubery, Seyed V Mirnezami, Kyle A Parmley, Soumik Sarkar, Arti Singh, Baskar Ganapathysubramanian, Asheesh K Singh

     Plant methods, Vol. 16, pp. 5, BioMed Central (2020) · 153 citations

210. Predicting county-scale maize yields with publicly available data

     Zehui Jiang, Chao Liu, Baskar Ganapathysubramanian, Dermot J Hayes, Soumik Sarkar

     Scientific Reports, Vol. 10, pp. 14957, Nature Publishing Group UK (2020) · 134 citations

211. Automated detection of part quality during two-photon lithography via deep learning

     Xian Yeow Lee, Sourabh K Saha, Soumik Sarkar, Brian Giera

     Additive Manufacturing, Vol. 36, pp. 101444, Elsevier (2020) · 72 citations

212. Soybean root system architecture trait study through genotypic, phenotypic, and shape-based clusters

     Kevin G Falk, Talukder Zaki Jubery, Jamie A O’Rourke, Arti Singh, Soumik Sarkar, Baskar Ganapathysubramanian, Asheesh K Singh

     Plant Phenomics, AAAS (2020) · 71 citations

213. Robust deep reinforcement learning for traffic signal control

     Kai Liang Tan, Anuj Sharma, Soumik Sarkar

     Journal of Big Data Analytics in Transportation, Vol. 2, pp. 263-274, Springer Singapore (2020) · 40 citations

214. Automated trichome counting in soybean using advanced image‐processing techniques

     Seyed Vahid Mirnezami, Therin Young, Teshale Assefa, Shelby Prichard, Koushik Nagasubramanian, Kulbir Sandhu, Soumik Sarkar, Sriram Sundararajan, Matt E O’Neal, Baskar Ganapathysubramanian, Arti Singh

     Applications in plant sciences, Vol. 8, pp. e11375 (2020) · 30 citations

215. Granger causality based hierarchical time series clustering for state estimation

     Sin Yong Tan, Homagni Saha, Margarite Jacoby, Gregor Henze, Soumik Sarkar

     IFAC-PapersOnLine, Vol. 53, pp. 524-529, Elsevier (2020) · 12 citations

216. Two Photon lithography additive manufacturing: Video dataset of parameter sweep of light dosages, photo-curable resins, and structures

     Xian Yeow Lee, Sourabh K Saha, Soumik Sarkar, Brian Giera

     Data in Brief, Vol. 32, pp. 106119, Elsevier (2020) · 11 citations

217. Supervisory control and distributed optimization of building energy systems

     Zhanhong Jiang, Venkatesh Chinde, Adam Kohl, Atul G Kelkar, Soumik Sarkar

     Journal of Dynamic Systems, Measurement, and Control, Vol. 142, pp. 101008, American Society of Mechanical Engineers (2020) · 7 citations

218. Differentiable programming for piecewise polynomial functions

     Minsu Cho, Ameya Joshi, Xian Yeow Lee, Aditya Balu, Adarsh Krishnamurthy, Baskar Ganapathysubramanian, Soumik Sarkar, Chinmay Hegde

     (2020) · 3 citations

219. Interpretable Deep Learning for Monitoring Combustion Instability

     Tryambak Gangopadhyay, Sin Yong Tan, Anthony C. LoCurto, James Michael, Soumik Sarkar

     IFAC-PapersOnLine, Vol. 53, pp. 832-837, Elsevier BV (2020) · 8 citations · DOI: 10.1016/j.ifacol.2020.12.839

220. Traffic System Anomaly Detection using Spatiotemporal Pattern Networks

     Tingting Huang, Chao Liu, Anuj Sharma, Soumik Sarkar

     International Journal of Prognostics and Health Management, Vol. 9, The Prognostics and Health Management Society (2020) · 11 citations · DOI: 10.36001/ijphm.2018.v9i1.2671

221. Segmentation of natural images based on super pixel and graph merging

     Aritra Mukherjee, Soumik Sarkar, Sanjoy Kumar Saha

     IET Computer Vision, Vol. 15, pp. 1-11, Institution of Engineering and Technology (2020) · 6 citations · DOI: 10.1049/cvi2.12008

222. Interpretable Deep Attention Model for Multivariate Time Series Prediction in Building Energy Systems

     Tryambak Gangopadhyay, Sin Yong Tan, Zhanhong Jiang, Soumik Sarkar

     Lecture notes in computer science, pp. 93-101, Springer Science+Business Media (2020) · 6 citations · DOI: 10.1007/978-3-030-61725-7_13

223. Traffic sensor health monitoring using spatiotemporal graphical modeling

     Linjiang Wu, Chao Liu, Tingting Huang, Anuj Sharma, Soumik Sarkar

     International Journal of Prognostics and Health Management, Vol. 9, The Prognostics and Health Management Society (2020) · 5 citations · DOI: 10.36001/ijphm.2018.v9i1.2701

224. SUS-RURI Reflections

     Soumik Sarkar

     (2020) · 0 citations · DOI: 10.31274/3d9ea6a4.29d4d6d9

225. Data-Driven Performance Monitoring of Dynamical Systems Using Granger Causal Graphical Models

     Homagni Saha, Chao Liu, Zhanhong Jiang, Soumik Sarkar

     Journal of Dynamic Systems Measurement and Control, Vol. 142, ASM International (2020) · 0 citations · DOI: 10.1115/1.4046673

226. Spatiotemporally constrained action space attacks on deep reinforcement learning agents

     Xian Yeow Lee, Sambit Ghadai, Kai Liang Tan, Chinmay Hegde, Soumik Sarkar

     Proceedings of the AAAI conference on artificial intelligence, Vol. 34, pp. 4577-4584 (2020) · 93 citations

227. Robustifying reinforcement learning agents via action space adversarial training

     Kai Liang Tan, Yasaman Esfandiari, Xian Yeow Lee, Soumik Sarkar

     2020 American control conference (ACC), 3959-3964, 2020, pp. 3959-3964, IEEE (2020) · 89 citations

228. InvNet: encoding geometric and statistical invariances in deep generative models

     Ameya Joshi, Minsu Cho, Viraj Shah, Balaji Pokuri, Soumik Sarkar, Baskar Ganapathysubramanian, Chinmay Hegde

     Proceedings of the AAAI Conference on Artificial Intelligence, Vol. 34, pp. 4377-4384 (2020) · 24 citations

229. Detecting and tracking unsafe lane departure events for predicting driver safety in challenging naturalistic driving data

     Luis Riera, Koray Ozcan, Jennifer Merickel, Mathew Rizzo, Soumik Sarkar, Anuj Sharma

     2020 IEEE Intelligent Vehicles Symposium (IV), 238-245, 2020, pp. 238-245, IEEE (2020) · 23 citations

230. Deep generative models that solve pdes: Distributed computing for training large data-free models

     Sergio Botelho, Ameya Joshi, Biswajit Khara, Vinay Rao, Soumik Sarkar, Chinmay Hegde, Santi Adavani, Baskar Ganapathysubramanian

     2020 IEEE/ACM Workshop on Machine Learning in High Performance Computing …, 2020, pp. 50-63, IEEE (2020) · 14 citations

231. Orthogonal distance fields representation for machine-learning based manufacturability analysis

     Aditya Balu, Sambit Ghadai, Soumik Sarkar, Adarsh Krishnamurthy

     International Design Engineering Technical Conferences and Computers and …, 2020, Vol. 83983, pp. V009T09A044, American Society of Mechanical Engineers (2020) · 7 citations

232. Interpreting the impact of weather on crop yield using attention

     Tryambak Gangopadhyay, Johnathon Shook, A Singh, Soumik Sarkar

     NeurIPS Workshop on AI for Earth Sciences, pp. 1-6, NeurIPS (2020) · 6 citations

233. Object Mapping from Disparity Map by Fast Clustering

     Aritra Mukherjee, Soumik Sarkar, Sanjoy Kumar Saha

     2020 IEEE Calcutta Conference (CALCON), Vol. 3, pp. 74-79 (2020) · 0 citations · DOI: 10.1109/calcon49167.2020.9106512

234. Usefulness of interpretability methods to explain deep learning based plant stress phenotyping

     Koushik Nagasubramanian, Asheesh K Singh, Arti Singh, Soumik Sarkar, Baskar Ganapathysubramanian

     arXiv preprint arXiv:2007.05729 (2020) · 30 citations

235. Deep Learning for Dynamic Deformation Simulation of Bioprosthetic Heart Valves

     A. Balu, K.L. Tan, C. H. Wu, M-C. Hsu, S. Sarkar, A. Krishnamurthy

     USNCCM 15, Austin, TX, 2019 (2019)

236. Linking age-related decline to driver behavior at signalized intersections

     A. Barnwal, J. Merickel, L. Riera-Garcia, K. Ozcan, S. Sarkar, A. Sharma, M. Rizzo

     2019 Association for the Advancement of Automotive Medicine’s (AAAM) 63rd Annual Scientific Conference, Madrid, Spain, 15 – 18 October 2019 (2019)

237. A Deep-Learning Framework for Diagnostics and Design of Bioprosthetic Heart Valves

     A. Balu, M. Hsu, S. Sarkar, A. Krishnamurthy

     BMES/FDA conference on Frontiers in Medical Devices : The Role of Digital Evidence to Support Personalized Patient Healthcare, (Washington, DC Metropolitan Area), Mar 19-21, 2019 (2019)

238. A weakly supervised deep learning framework for sorghum head detection and counting

     Sambuddha Ghosal, Bangyou Zheng, Scott C Chapman, Andries B Potgieter, David R Jordan, Xuemin Wang, Asheesh K Singh, Arti Singh, Masayuki Hirafuji, Seishi Ninomiya, Baskar Ganapathysubramanian, Soumik Sarkar, Wei Guo

     Plant Phenomics, AAAS (2019) · 236 citations

239. An adaptive spatiotemporal feature learning approach for fault diagnosis in complex systems

     Te Han, Chao Liu, Linjiang Wu, Soumik Sarkar, Dongxiang Jiang

     Mechanical Systems and Signal Processing, Vol. 117, pp. 170-187, Academic Press (2019) · 194 citations

240. Machine learning approach for prescriptive plant breeding

     Kyle A Parmley, Race H Higgins, Baskar Ganapathysubramanian, Soumik Sarkar, Asheesh K Singh

     Scientific reports, Vol. 9, pp. 17132, Nature Publishing Group UK (2019) · 133 citations

241. Occupancy sensing in buildings: A review of data analytics approaches

     Homagni Saha, Anthony R Florita, Gregor P Henze, Soumik Sarkar

     Energy and Buildings 188, 278-285, 2019, Vol. 188, pp. 278-285, Elsevier (2019) · 132 citations

242. A case study of deep reinforcement learning for engineering design: Application to microfluidic devices for flow sculpting

     Xian Yeow Lee, Aditya Balu, Daniel Stoecklein, Baskar Ganapathysubramanian, Soumik Sarkar

     Journal of Mechanical Design, Vol. 141, pp. 111401, American Society of Mechanical Engineers (2019) · 122 citations

243. Development of optimized phenomic predictors for efficient plant breeding decisions using phenomic-assisted selection in soybean

     Kyle Parmley, Koushik Nagasubramanian, Soumik Sarkar, Baskar Ganapathysubramanian, Asheesh K Singh

     Plant Phenomics, AAAS (2019) · 100 citations

244. Interpretable deep learning for guided microstructure-property explorations in photovoltaics

     Balaji Sesha Sarath Pokuri, Sambuddha Ghosal, Apurva Kokate, Soumik Sarkar, Baskar Ganapathysubramanian

     npj Computational Materials, Vol. 5, pp. 95, Nature Publishing Group UK (2019) · 82 citations

245. A deep learning framework for design and analysis of surgical bioprosthetic heart valves

     Aditya Balu, Sahiti Nallagonda, Fei Xu, Adarsh Krishnamurthy, Ming-Chen Hsu, Soumik Sarkar

     Scientific reports, Vol. 9, pp. 18560, Nature Publishing Group UK (2019) · 73 citations

246. Deep learning algorithms for detecting combustion instabilities

     Tryambak Gangopadhyay, Anthony Locurto, James B Michael, Soumik Sarkar

     Dynamics and Control of Energy Systems, 283-300, 2019, pp. 283-300, Springer Singapore (2019) · 30 citations

247. Traffic dynamics exploration and incident detection using spatiotemporal graphical modeling

     Chao Liu, Mo Zhao, Anuj Sharma, Soumik Sarkar

     Journal of Big Data Analytics in Transportation, Vol. 1, pp. 37-55, Springer Singapore (2019) · 21 citations

248. Generalised gossip-based subgradient method for distributed optimisation

     Zhanhong Jiang, Kushal Mukherjee, Soumik Sarkar

     International Journal of Control, Vol. 92, pp. 1209-1225, Taylor & Francis (2019) · 3 citations

249. Binary 2d morphologies of polymer phase separation: Dataset and python toolbox

     Viraj Shah, Ameya Joshi, Balaji Pokuri, Baskar Ganapathysubramanian, Sambuddha Ghosal, Soumik Sarkar, Chinmay Hegde

     (2019) · 2 citations

250. Plant disease identification using explainable 3D deep learning on hyperspectral images

     Koushik Nagasubramanian, Sarah E. Jones, Asheesh K. Singh, Soumik Sarkar, Arti Singh, Baskar Ganapathysubramanian, Arti Singh, Baskar Ganapathysubramanian

     Plant Methods, Vol. 15, pp. 98-98, BioMed Central (2019) · 374 citations · DOI: 10.1186/s13007-019-0479-8

251. Community Perception Towards Tourism Development in the Indian Sundarbans: Case Study of Jharkhali Island

     Soumik Sarkar

     International Journal of Engineering Research and, Vol. V8, International Research Publication House (2019) · 5 citations · DOI: 10.17577/ijertv8is120278

252. Learning State Switching for Multi-sensor Integration

     Homagni Saha, Sin Yong Tan, Zhanhong Jiang, Soumik Sarkar

     , pp. 232-237 (2019) · 2 citations · DOI: 10.1109/icc47138.2019.9123175

253. Soybean Root Phenomics

     Troung Tran, Koushik Nagasubramanian, Soumik Sarkar, Baskar Ganapathysubramanian, Kevin G. Falk, Clayton N. Carley, Arti Singh, Asheesh K. Singh

     Iowa State University Research and Demonstration Farms Progress Reports, Vol. 2018 (2019) · 0 citations

254. Tree Composition Mapping and Environmental Role of Small Natural Areas in Dense Urban Setting: Case Study of Jadavpur University Campus in India

     Suchandra Bardhan, Soumik Sarkar

     Indian Forester, Vol. 145, pp. 227-227, Indian Council of Forestry Research and Education (2019) · 0 citations · DOI: 10.36808/if/2019/v145i3/144454

255. Learning State Switching for Improved Exploration in Multi-sensor Environments

     Homagni Saha, Sin Yong Tan, Zhanhong Jiang, Soumik Sarkar

     (2019) · 0 citations

256. Semantic adversarial attacks: Parametric transformations that fool deep classifiers

     Ameya Joshi, Amitangshu Mukherjee, Soumik Sarkar, Chinmay Hegde

     Proceedings of the IEEE/CVF international conference on computer vision …, 2019, pp. 4773-4783 (2019) · 150 citations

257. Deep reinforcement learning for adaptive traffic signal control

     Kai Liang Tan, Subhadipto Poddar, Soumik Sarkar, Anuj Sharma

     Dynamic systems and control conference 59162, V003T18A006, 2019, Vol. 59162, pp. V003T18A006, American Society of Mechanical Engineers (2019) · 44 citations

258. For publication in 2019 acc a flexible framework for building occupancy detection using spatiotemporal pattern networks

     Sin Yong Tan, Homagni Saha, Anthony R Florita, Gregor P Henze, Soumik Sarkar

     2019 American Control Conference (ACC), 5884-5889, 2019, pp. 5884-5889, IEEE (2019) · 10 citations

259. Attribute-controlled traffic data augmentation using conditional generative models

     Amitangshu Mukherjee, Ameya Joshi, Soumik Sarkar, Chinmay Hegde

     CVPR Workshop on Vision for All Seasons (VAS) (2019) · 10 citations

260. Generative models for solving nonlinear partial differential equations

     Ameya Joshi, Viraj Shah, Sambuddha Ghosal, Balaji Pokuri, Soumik Sarkar, Baskar Ganapathysubramanian, Chinmay Hegde

     Proc. of NeurIPS Workshop on ML for Physics (2019) · 10 citations

261. Deep time series attention models for crop yield prediction and insights

     Tryambak Gangopadhyay, Johnathon Shook, Asheesh K Singh, Soumik Sarkar

     NeurIPS Workshop on Machine Learning and the Physical Sciences (2019) · 9 citations

262. An explainable framework using deep attention models for sequential data in combustion systems

     Tryambak Gangopadhyay, Sin Yong Tan, Anthony Locurto, James B Michael, Soumik Sarkar

     NeurIPS 2019 workshop on machine learning and the physical sciences. NeurIPS (2019) · 7 citations

263. Semantic domain adaptation for deep classifiers via gan-based data augmentation

     Amitangshu Mukherjee, Ameya Joshi, Chinmay Hegde, Soumik Sarkar

     Proc. Conf. Neural Inf. Process. Syst. Workshops, 1-7, 2019, pp. 1-7 (2019) · 2 citations

264. Learning to cope with adversarial attacks

     Xian Yeow Lee, Aaron Havens, Girish Chowdhary, Soumik Sarkar

     arXiv preprint arXiv:1906.12061 (2019) · 8 citations

265. A perspective on multi-agent communication for information fusion

     Homagni Saha, Vijay Venkataraman, Alberto Speranzon, Soumik Sarkar

     NeurIPS 2019 Workshop on Visually Grounded Interaction and Language (2019) · 4 citations

266. On higher-order moments in adam

     Zhanhong Jiang, Aditya Balu, Sin Yong Tan, Young M Lee, Chinmay Hegde, Soumik Sarkar

     Beyond First Order Methods in Machine Learning Workshop, NeurIPS 2019 (2019) · 3 citations

267. Multi-Level 3D CNN for Learning Multi-Scale Spatial Features

     Sambit Ghadai, Xian Yeow Lee, Aditya Balu, Soumik Sarkar, Adarsh Krishnamurthy

     CVPR 2019 Workshop on Deep Learning for Geometric Shape Understanding (2019) · 1 citation · DOI: 10.1109/cvprw.2019.00150

268. Encoding Invariances in Deep Generative Models

     Viraj Shah, Ameya Joshi, Sambuddha Ghosal, Balaji Sesha Sarath Pokuri, Soumik Sarkar, Baskar Ganapathysubramanian, Chinmay Hegde

     arXiv preprint arXiv:1906.01626 (2019) · 20 citations

269. Driver Behavior Analysis Using Lane Departure Detection Under Challenging Conditions

     Luis G. Riera, Koray Özcan, Jennifer Merickel, Rizzo, Mathew, Soumik Sarkar, Anuj Sharma

     arXiv preprint arXiv:1906.00093 (2019) · 9 citations

270. Machine Learning for Diagnostics and Patient-Specific Design of Bioprosthetic Heart Valves

     A. Balu, S. Nallagonda, F. Xu, A. Krishnamurthy, M. Hsu, S. Sarkar

     Integrating Design and Analysis (IGA), (Austin, TX), Oct 10-12, 2018 (2018)

271. Incremental Consensus-based Collaborative Deep Learning

     Z. Jiang, A. Balu, C. Hedge, S. Sarkar

     ICML Workshop on Modern Trends in Nonconvex Optimization for Machine Learning (Spotlight presentation), Stockholm, Sweden, Jul 13-15, 2018 (2018)

272. Deep learning for plant stress phenotyping: trends and future perspectives

     Asheesh Kumar Singh, Baskar Ganapathysubramanian, Soumik Sarkar, Arti Singh

     Trends in plant science 23 (10), 883-898, 2018, Vol. 23, pp. 883-898, Elsevier (2018) · 732 citations

273. Hyperspectral band selection using genetic algorithm and support vector machines for early identification of charcoal rot disease in soybean stems

     Koushik Nagasubramanian, Sarah Jones, Soumik Sarkar, Asheesh K Singh, Arti Singh, Baskar Ganapathysubramanian

     Plant methods, Vol. 14, pp. 86, BioMed Central (2018) · 206 citations

274. Traffic congestion detection from camera images using deep convolution neural networks

     Pranamesh Chakraborty, Yaw Okyere Adu-Gyamfi, Subhadipto Poddar, Vesal Ahsani, Anuj Sharma, Soumik Sarkar

     Transportation Research Record, Vol. 2672, pp. 222-231, SAGE Publications (2018) · 174 citations

275. A deep learning framework to discern and count microscopic nematode eggs

     Adedotun Akintayo, Gregory L Tylka, Asheesh K Singh, Baskar Ganapathysubramanian, Arti Singh, Soumik Sarkar

     Scientific reports, Vol. 8, pp. 9145, Nature Publishing Group UK (2018) · 155 citations

276. Learning localized features in 3D CAD models for manufacturability analysis of drilled holes

     Sambit Ghadai, Aditya Balu, Soumik Sarkar, Adarsh Krishnamurthy

     Computer Aided Geometric Design, Vol. 62, pp. 263-275, North-Holland (2018) · 123 citations

277. Multivariate exploration of non-intrusive load monitoring via spatiotemporal pattern network

     Chao Liu, Adedotun Akintayo, Zhanhong Jiang, Gregor P Henze, Soumik Sarkar

     Applied Energy, Vol. 211, pp. 1106-1122, Elsevier (2018) · 76 citations

278. Online robust policy learning in the presence of unknown adversaries

     Aaron Havens, Zhanhong Jiang, Soumik Sarkar

     Advances in neural information processing systems, Vol. 31 (2018) · 66 citations

279. A novel multirobot system for plant phenotyping

     Tianshuang Gao, Hamid Emadi, Homagni Saha, Jiaoping Zhang, Alec Lofquist, Arti Singh, Baskar Ganapathysubramanian, Soumik Sarkar, Asheesh K Singh, Sourabh Bhattacharya

     Robotics, Vol. 7, pp. 61, MDPI (2018) · 59 citations

280. Linked read technology for assembling large complex and polyploid genomes

     Alina Ott, James C Schnable, Cheng-Ting Yeh, Linjiang Wu, Chao Liu, Heng-Cheng Hu, Clifton L Dalgard, Soumik Sarkar, Patrick S Schnable

     BMC genomics, Vol. 19, pp. 651, BioMed Central (2018) · 51 citations

281. A deep learning framework for causal shape transformation

     Kin Gwn Lore, Daniel Stoecklein, Michael Davies, Baskar Ganapathysubramanian, Soumik Sarkar

     Neural Networks, Vol. 98, pp. 305-317, Pergamon (2018) · 34 citations

282. Temporal attention and stacked LSTMs for multivariate time series prediction

     Tryambak Gangopadhyay, Sin Yong Tan, Genyi Huang, Soumik Sarkar

     (2018) · 29 citations

283. Hierarchical symbolic dynamic filtering of streaming non-stationary time series data

     Adedotun Akintayo, Soumik Sarkar

     Signal Processing, Vol. 151, pp. 76-88, Elsevier (2018) · 14 citations

284. Mode decomposition and convolutional neural network analysis of thermoacoustic instabilities in a rijke tube

     Anthony LoCurto, Tryambak Gangopadhyay, Paige Boor, Soumik Sarkar, James B Michael

     (2018) · 3 citations

285. NTIRE 2018 Challenge on Spectral Reconstruction from RGB Images

     Boaz Arad, Dong Liu, Feng Wu, Charis Lanaras, Silvano Galliani, Konrad Schindler, Tarek Stiebel, Simon Koppers, Philipp Seltsam, Ruofan Zhou, Majed El Helou, Ohad Ben‐Shahar, Fayez Lahoud, Marjan Shahpaski, Ke Zheng, Lianru Gao, Bing Zhang, Ximin Cui, Haoyang Yu, Yiğit Baran Can, Aitor Álvarez-Gila, Joost van de Weijer, Radu Timofte, Estíbaliz Garrote, Adrián Galdrán, Manoj Sharma, Sriharsha Koundinya, Avinash Upadhyay, Raunak Manekar, Rudrabha Mukhopadhyay, Himanshu Sharma, Santanu Chaudhury, Koushik Nagasubramanian, Luc Van Gool, Sambuddha Ghosal, Asheesh K. Singh, Arti Singh, Baskar Ganapathysubramanian, Soumik Sarkar, Lei Zhang, Ming–Hsuan Yang, Zhiwei Xiong, Chang Chen, Zhan Shi

     , pp. 1042-104209 (2018) · 114 citations · DOI: 10.1109/cvprw.2018.00138

286. Characterizing Combustion Instability Using Deep Convolutional Neural Network

     Tryambak Gangopadhyay, Anthony C. LoCurto, Paige K Boor, James Michael, Soumik Sarkar

     (2018) · 10 citations · DOI: 10.1115/dscc2018-9208

287. Building Energy Disaggregation using Spatiotemporal Pattern Network

     Chao Liu, Zhanhong Jiang, Adedotun Akintayo, Gregor P. Henze, Soumik Sarkar

     , pp. 1052-1057 (2018) · 2 citations · DOI: 10.23919/acc.2018.8431732

288. Hierarchical Optimization for Building Energy Systems

     Zhanhong Jiang, Timothy Wilkie, Soumik Sarkar

     , pp. 4646-4651 (2018) · 0 citations · DOI: 10.23919/acc.2018.8431489

289. Navigation Strategies for a Multi-Robot Ground-Based Row Crop Phenotyping Platform

     Tianshuang Gao, Hamid Emadi, Homagni Saha, Jiaoping Zhang, Alec Lofquist, Arti Singh, Baskar Ganapathysubramanian, Soumik Sarkar, Asheesh K. Singh, Sourabh Bhattacharya

     (2018) · 0 citations · DOI: 10.1115/dscc2018-9096

290. An explainable deep machine vision framework for plant stress phenotyping

     Sambuddha Ghosal, David Blystone, Asheesh K Singh, Baskar Ganapathysubramanian, Arti Singh, Soumik Sarkar

     Proceedings of the National Academy of Sciences, Vol. 115, pp. 4613-4618, National Academy of Sciences (2018) · 668 citations

     Code

291. PIRM2018 challenge on spectral image super-resolution: methods and results

     Mehrdad Shoeiby, Antonio Robles-Kelly, Radu Timofte, Ruofan Zhou, Fayez Lahoud, Sabine Susstrunk, Zhiwei Xiong, Zhan Shi, Chang Chen, Dong Liu, Zheng-Jun Zha, Feng Wu, Kaixuan Wei, Tao Zhang, Lizhi Wang, Ying Fu, Koushik Nagasubramanian, Asheesh K Singh, Arti Singh, Soumik Sarkar, Baskar Ganapathysubramanian

     Proceedings of the European Conference on Computer Vision (ECCV) Workshops, 0-0, 2018, pp. 0-0 (2018) · 34 citations

292. On consensus-disagreement tradeoff in distributed optimization

     Zhanhong Jiang, Kushal Mukherjee, Soumik Sarkar

     2018 Annual American Control Conference (ACC), 571-576, 2018, pp. 571-576, IEEE (2018) · 12 citations

293. Comparison of machine learning algorithms to determine traffic congestion from camera images

     Subhadipto Poddar, Koray Ozcan, Pranamesh Chakraborty, Vesal Ahsani, Anuj Sharma, Soumik Sarkar

     Transportation Research Board 97th annual meeting, Washington, DC, pp. 7-11 (2018) · 6 citations

294. Exploring Granger causality in dynamical systems modeling and performance monitoring

     Homagni Saha, Chao Liu, Zhanhong Jiang, Soumik Sarkar

     2018 IEEE Conference on Decision and Control (CDC), 2537-2542, 2018, pp. 2537-2542, IEEE (2018) · 5 citations

295. A Data-driven Approach towards Integration of Microclimate Conditions for Predicting Building Energy Performance

     Soumik Sarkar, Linjiang Wu, Venkatesh Chinde, Himanshu Sharma, Ulrike Passe

     5th International High Performance Buildings Conference, 2018, 5th International High Performance Buildings Conference (2018) · 2 citations

296. Multi-resolution 3D convolutional neural networks for object recognition

     Sambit Ghadai, Xian Lee, Aditya Balu, Soumik Sarkar, Adarsh Krishnamurthy

     arXiv preprint arXiv:1805.12254, Vol. 4 (2018) · 45 citations

297. Physics-aware deep generative models for creating synthetic microstructures

     Rahul Singh, Viraj Shah, Balaji Pokuri, Soumik Sarkar, Baskar Ganapathysubramanian, Chinmay Hegde

     arXiv preprint arXiv:1811.09669 (2018) · 36 citations

298. 3D Deep Learning with voxelized atomic configurations for modeling atomistic potentials in complex solid-solution alloys

     Rahul Singh, Aayush Sharma, Onur Rauf Bingol, Aditya Balu, Ganesh Balasubramanian, Duane D Johnson, Soumik Sarkar

     Machine Learning for Molecules and Materials Workshop, NeurIPS 2018 (2018) · 5 citations

299. Predicting county level corn yields using deep long short term memory models. arXiv

     Z Jiang, C Liu, NP Hendricks, B Ganapathysubramanian, DJ Hayes, S Sarkar

     arXiv preprint arXiv:1805.12044 (2018) · 5 citations

300. Explaining hyperspectral imaging based plant disease identification: 3D CNN and saliency maps

     Koushik Nagasubramanian, Sarah E. Jones, Asheesh K. Singh, Arti Singh, Baskar Ganapathysubramanian, Soumik Sarkar

     arXiv preprint arXiv:1804.08831 (2018) · 36 citations

301. Flow Shape Design for Microfluidic Devices Using Deep Reinforcement Learning

     Xian Yeow Lee, Aditya Balu, Daniel Stoecklein, Baskar Ganapathysubramanian, Soumik Sarkar

     Deep Reinforcement Learning Workshop, NeurIPS 2018 (2018) · 15 citations

302. LLNet: A deep autoencoder approach to natural low-light image enhancement

     Kin Gwn Lore, Adedotun Akintayo, Soumik Sarkar

     Pattern Recognition, Vol. 61, pp. 650-662, Pergamon (2017) · 2166 citations

303. A real-time phenotyping framework using machine learning for plant stress severity rating in soybean

     Hsiang Sing Naik, Jiaoping Zhang, Alec Lofquist, Teshale Assefa, Soumik Sarkar, David Ackerman, Arti Singh, Asheesh K Singh, Baskar Ganapathysubramanian

     Plant methods, Vol. 13, pp. 23, BioMed Central (2017) · 238 citations

304. Collaborative deep learning in fixed topology networks

     Zhanhong Jiang, Aditya Balu, Chinmay Hegde, Soumik Sarkar

     Advances in Neural Information Processing Systems, Vol. 30 (2017) · 233 citations

     Code

305. Computer vision and machine learning for robust phenotyping in genome-wide studies

     Jiaoping Zhang, Hsiang Sing Naik, Teshale Assefa, Soumik Sarkar, RV Chowda Reddy, Arti Singh, Baskar Ganapathysubramanian, Asheesh K Singh

     Scientific reports, Vol. 7, pp. 44048, Nature Publishing Group UK (2017) · 126 citations

306. Deep learning for flow sculpting: Insights into efficient learning using scientific simulation data

     Daniel Stoecklein, Kin Gwn Lore, Michael Davies, Soumik Sarkar, Baskar Ganapathysubramanian

     Scientific reports, Vol. 7, pp. 46368, Nature Publishing Group UK (2017) · 103 citations

307. Deep learning for automated occlusion edge detection in RGB-D frames

     Soumik Sarkar, Vivek Venugopalan, Kishore Reddy, Julian Ryde, Navdeep Jaitly, Michael Giering

     Journal of Signal Processing Systems, Vol. 88, pp. 205-217, Springer US (2017) · 54 citations

308. Bridge damage detection using spatiotemporal patterns extracted from dense sensor network

     Chao Liu, Yongqiang Gong, Simon Laflamme, Brent Phares, Soumik Sarkar

     Measurement Science and Technology, Vol. 28, pp. 014011, IOP Publishing (2017) · 51 citations

309. An unsupervised anomaly detection approach using energy-based spatiotemporal graphical modeling

     Chao Liu, Sambuddha Ghosal, Zhanhong Jiang, Soumik Sarkar

     Cyber-physical systems, Vol. 3, pp. 66-102, Taylor & Francis (2017) · 44 citations

310. Automated functional tests for diagnostics and control

     Sorin Bengea, Veronica Adetola, Martin Krucinski, Soumik Sarkar, Abhiskek Srivastav, Teems E Lovett, Kushal Mukherjee, Anarta Ghosh, Mei Chen, Pengfei Li

     US Patent App. 15/526,201, 2017 (2017) · 26 citations

311. A passivity-based power-shaping control of building HVAC systems

     Venkatesh Chinde, Krishna Chaitanya Kosaraju, Atul Kelkar, Ramkrishna Pasumarthy, S Sarkar, Navdeep M Singh

     Journal of Dynamic Systems, Measurement, and Control, Vol. 139, pp. 111007, American Society of Mechanical Engineers (2017) · 15 citations

312. Deploying Fourier coefficients to unravel soybean canopy diversity

     Talukder Z Jubery, Johnathon Shook, Kyle Parmley, Jiaoping Zhang, Hsiang S Naik, Race Higgins, Soumik Sarkar, Arti Singh, Asheesh K Singh, Baskar Ganapathysubramanian

     Frontiers in plant science, Vol. 7, pp. 2066, Frontiers Media SA (2017) · 14 citations

313. High speed video-based health monitoring using 3D deep learning

     Sambuddha Ghosal, Adedotun Akintayo, Paige Boor, Soumik Sarkar

     Dynamic Data-Driven Application Systems (DDDAS) (2017) · 11 citations

314. Energy prediction using spatiotemporal pattern networks

     Zhanhong Jiang, Chao Liu, Adedotun Akintayo, Gregor P. Henze, Soumik Sarkar

     Applied Energy, Vol. 206, pp. 1022-1039, Elsevier BV (2017) · 22 citations · DOI: 10.1016/j.apenergy.2017.08.225

315. Data-driven root-cause analysis for distributed system anomalies

     Chao Liu, Kin Gwn Lore, Soumik Sarkar

     (2017) · 12 citations · DOI: 10.1109/cdc.2017.8264527

316. Autonomous Mobile Sensing Platform for Spatio-Temporal Plant Phenotyping

     Homagni Saha, Tianshuang Gao, Hamid Emadi, Zhanhong Jiang, Arti Singh, Baskar Ganapathysubramanian, Soumik Sarkar, Asheesh K. Singh, Sourabh Bhattacharya

     (2017) · 1 citation · DOI: 10.1115/dscc2017-5207

317. Segmentation of Natural Image Based on Colour Cohesion and Spatial Criteria

     Aritra Mukherjee, Soumik Sarkar, Sanjoy Kumar Saha

     , Vol. 7, pp. 1-7 (2017) · 1 citation · DOI: 10.1109/icapr.2017.8593106

318. Deep Learning for Engineering Big Data Analytics

     Kin Gwn Lore, Daniel Stoecklein, Michael A. Davies, Baskar Ganapathysubramanian, Soumik Sarkar

     Big Data Analytics, pp. 151-166, Springer Science+Business Media (2017) · 0 citations · DOI: 10.1201/b21822-7

319. Convergence and noise effect analysis for generalized gossip-based distributed optimization

     Zhanhong Jiang, Kushal Mukherjee, Soumik Sarkar

     2017 American Control Conference (ACC), 4353-4358, 2017, pp. 4353-4358, IEEE (2017) · 6 citations

320. A forward-backward approach for visualizing information flow in deep networks

     Aditya Balu, Thanh V Nguyen, Apurva Kokate, Chinmay Hegde, Soumik Sarkar

     NIPS 2017 Symposium on Interpretable Machine Learning (2017) · 12 citations

321. Learning and visualizing localized geometric features using 3d-cnn: An application to manufacturability analysis of drilled holes

     Sambit Ghadai, Aditya Balu, Adarsh Krishnamurthy, Soumik Sarkar

     NIPS 2017 Symposium on Interpretable Machine Learning (2017) · 4 citations

322. A Machine-Learning Framework for Design for Manufacturability

     Aditya Balu, Sambit Ghadai, Gavin Young, Soumik Sarkar, Adarsh Krishnamurthy

     arXiv preprint arXiv:1703.01499 (2017) · 1 citation

323. Interpretable Deep Learning applied to Plant Stress Phenotyping

     Sambuddha Ghosal, David Blystone, Asheesh K. Singh, Baskar Ganapathysubramanian, Arti Singh, Soumik Sarkar

     arXiv preprint arXiv:1710.08619 (2017) · 1 citation

324. Machine learning for high-throughput stress phenotyping in plants

     Arti Singh, Baskar Ganapathysubramanian, Asheesh Kumar Singh, Soumik Sarkar

     Trends in plant science 21 (2), 110-124, 2016, Vol. 21, pp. 110-124, Elsevier (2016) · 1345 citations

325. Prognostics of combustion instabilities from hi-speed flame video using a deep convolutional selective autoencoder

     Adedotun Akintayo, Kin Gwn Lore, Soumalya Sarkar, Soumik Sarkar

     International Journal of Prognostics and Health Management, Vol. 7 (2016) · 78 citations

326. A composite discretization scheme for symbolic identification of complex systems

     Soumik Sarkar, Abhishek Srivastav

     Signal Processing, Vol. 125, pp. 156-170, Elsevier (2016) · 24 citations

327. Path planning in GPS-denied environments via collective intelligence of distributed sensor networks

     Devesh K Jha, Pritthi Chattopadhyay, Soumik Sarkar, Asok Ray

     International Journal of Control, Vol. 89, pp. 984-999, Taylor & Francis (2016) · 19 citations

328. A bayesian network approach to county-level corn yield prediction using historical data and expert knowledge

     Vikas Chawla

     Iowa State University, 2016 (2016) · 18 citations

329. A volttron based implementation of supervisory control using generalized gossip for building energy systems

     Venkatesh Chinde, Adam Kohl, Zhanhong Jiang, Atul Kelkar, Soumik Sarkar

     (2016) · 13 citations

330. Efficient power management circuit for RF energy harvesting with 74.27% efficiency at 623nW available power

     Gaurav Saini, Soumik Sarkar, Mahima Arrawatia, Maryam Shojaei Baghini

     (2016) · 12 citations · DOI: 10.1109/newcas.2016.7604808

331. Probabilistic Graphical Modeling of Distributed Cyber-Physical Systems

     Soumik Sarkar, Zhanhong Jiang, Adedotun Akintayo, Sudha Krishnamurthy, Ashutosh Tewari

     Elsevier eBooks, pp. 265-285, Elsevier BV (2016) · 7 citations · DOI: 10.1016/b978-0-12-803801-7.00018-3

332. Building HVAC systems control using power shaping approach

     Venkatesh Chinde, Krishna Chaitanya Kosaraju, Atul Kelkar, Ramkrishna Pasumarthy, Soumik Sarkar, N. M. Singh

     , Vol. 3, pp. 599-604 (2016) · 3 citations · DOI: 10.1109/acc.2016.7524979

333. Multimodal spatiotemporal information fusion using neural-symbolic modeling for early detection of combustion instabilities

     Soumalya Sarkar, Devesh K. Jha, Kin Gwn Lore, Soumik Sarkar, Asok Ray

     , Vol. 33, pp. 4918-4923 (2016) · 4 citations · DOI: 10.1109/acc.2016.7526132

334. Topology control in mobile sensor networks using information space feedback

     Kin Gwn Lore, Soumik Sarkar, Devesh K. Jha

     , Vol. 49, pp. 6405-6410 (2016) · 0 citations · DOI: 10.1109/acc.2016.7526677

335. Damage Detection of Bridge Network With Spatiotemporal Pattern Network

     Chao Liu, Yongqiang Gong, Simon Laflamme, Brent Phares, Soumik Sarkar

     (2016) · 0 citations · DOI: 10.1115/dscc2016-9858

336. Optimal design flow of CMOS doubler-based rectifiers

     Soumik Sarkar, Gaurav Saini, Mahima Arrawatia, Maryam Shojaei Baghini

     , Vol. 2, pp. 1-6 (2016) · 0 citations · DOI: 10.1109/isvdat.2016.8064885

337. An unsupervised spatiotemporal graphical modeling approach to anomaly detection in distributed cps

     Chao Liu, Sambuddha Ghosal, Zhanhong Jiang, Soumik Sarkar

     2016 ACM/IEEE 7th International Conference on Cyber-Physical Systems (ICCPS …, 2016, pp. 1-10, IEEE (2016) · 68 citations

338. Deep value of information estimators for collaborative human-machine information gathering

     Kin Gwn Lore, Nicholas Sweet, Kundan Kumar, Nisar Ahmed, Soumik Sarkar

     2016 ACM/IEEE 7th International Conference on Cyber-Physical Systems (ICCPS …, 2016, pp. 1-10, IEEE (2016) · 26 citations

339. Detection and analysis of combustion instability from hi-speed flame images using dynamic mode decomposition

     Sambuddha Ghosal, Vikram Ramanan, Soumalya Sarkar, Satyanarayanan R Chakravarthy, Soumik Sarkar

     Dynamic Systems and Control Conference 50695, V001T12A005, 2016, Vol. 50695, pp. V001T12A005, American Society of Mechanical Engineers (2016) · 23 citations

340. Data driven exploration of traffic network system dynamics using high resolution probe data

     Chao Liu, Bowen Huang, Mo Zhao, Soumik Sarkar, Umesh Vaidya, Anuj Sharma

     2016 IEEE 55th Conference on Decision and Control (CDC), 7629-7634, 2016, pp. 7629-7634, IEEE (2016) · 19 citations

341. Scalable supervisory control of building energy systems using generalized gossip

     Zhanhong Jiang, Venkatesh Chinde, Adam Kohl, Soumik Sarkar, Atul Kelkar

     2016 American Control Conference (ACC), 581-586, 2016, pp. 581-586, IEEE (2016) · 9 citations

342. A Deep 3D Convolutional Neural Network Based Design for Manufacturability Framework

     Aditya Balu, Kin Gwn Lore, Gavin Young, Adarsh Krishnamurthy, Soumik Sarkar

     arXiv preprint arXiv:1612.02141 (2016) · 10 citations

343. Data-driven persistent monitoring of Indoor Air Systems

     Sambuddha Ghosal, Chao Liu, Ulrike Passe, Shan He, Soumik Sarkar

     Iowa State University Digital Repository (Iowa State University), Iowa State University (2016) · 1 citation

344. Early Detection of Combustion Instabilities using Deep Convolutional Selective Autoencoders on Hi-speed Flame Video

     Adedotun Akintayo, Kin Gwn Lore, Soumalya Sarkar, Soumik Sarkar

     arXiv preprint arXiv:1603.07839 (2016) · 9 citations

345. An end-to-end convolutional selective autoencoder approach to Soybean Cyst Nematode eggs detection

     Adedotun Akintayo, Nigel Lee, Vikas Chawla, Mark P. Mullaney, Christopher C. Marett, Asheesh K. Singh, Arti Singh, Gregory L. Tylka, Ganapathysubramaniam, Baskar, Soumik Sarkar

     arXiv preprint arXiv:1603.07834 (2016) · 7 citations

346. Learning Localized Geometric Features Using 3D-CNN: An Application to Manufacturability Analysis of Drilled Holes

     Aditya Balu, Sambit Ghadai, Kin Gwn Lore, Gavin Young, Adarsh Krishnamurthy, Soumik Sarkar

     arXiv preprint arXiv:1612.02141 (2016) · 3 citations

347. Deep Action Sequence Learning for Causal Shape Transformation

     Kin Gwn Lore, Daniel Stoecklein, Michael Davies, Baskar Ganapathysubramanian, Soumik Sarkar

     arXiv preprint arXiv:1605.05368 (2016) · 0 citations

348. Using deep convolutional networks for occlusion edge detection in RGB-D frames

     S. Sarkar, V. Venugopalan, K. Reddy, J. Rayde, M. Giering, N. Jaitly

     IEEE High Performance Extreme Computing Conference (HPEC), (Waltham, MA), Sep 15-17, 2015 (2015)

349. Deep learning for flow sculpting in microfluidic platforms

     K. G. Lore, M. Davies, D. Stoecklein, B. Ganapathysubramanian, S. Sarkar

     NVIDIA GPU Technical Conference, (Silicon Valley, CA), Mar 17-20, 2015 (2015)

350. Fault-tolerant optimal control of a building HVAC system

     Sorin C Bengea, Pengfei Li, Soumik Sarkar, Sergey Vichik, Veronica Adetola, Keunmo Kang, Teems Lovett, Francesco Leonardi, Anthony D Kelman

     Science and Technology for the Built Environment, Vol. 21, pp. 734-751, Taylor & Francis (2015) · 64 citations

351. Hierarchical feature extraction for efficient design of microfluidic flow patterns

     Kin Gwn Lore, Daniel Stoecklein, Michael Davies, Baskar Ganapathysubramanian, Soumik Sarkar

     Feature Extraction: Modern Questions and Challenges, 213-225, 2015, pp. 213-225, PMLR (2015) · 39 citations

352. On distributed optimization using generalized gossip

     Zhanhong Jiang, Soumik Sarkar, Kushal Mukherjee

     (2015) · 12 citations · DOI: 10.1109/cdc.2015.7402618

353. Understanding Wind Turbine Interactions Using Spatiotemporal Pattern Network

     Zhanhong Jiang, Soumik Sarkar

     (2015) · 9 citations · DOI: 10.1115/dscc2015-9784

354. A Symbolic Dynamic Filtering approach to unsupervised hierarchical feature extraction from time-series data

     Adedotun Akintayo, Soumik Sarkar

     , Vol. 1117, pp. 5824-5829 (2015) · 8 citations · DOI: 10.1109/acc.2015.7172252

355. Scalable human-in-the-loop decision support

     Ramona Georgescu, K. Subba Reddy, Nikola Trčka, Mei Chen, P. C. Quimby, Paul O’Neill, Taimoor Khawaja, Luca F. Bertuccelli, Dan Hestand, Soumik Sarkar, Ozgur Erdinc, Michael Giering

     , pp. 1-6 (2015) · 3 citations · DOI: 10.1109/aero.2015.7119285

356. Aspergillosis and its resistance: Marine natural products as future treatment

     Kumar Saurav, Subhasish Saha, Manoj Singh, Soumik Sarkar, Dhanasekaran Dharumadurai, Кришнан Каннабиран

     , pp. 255-276 (2015) · 0 citations · DOI: 10.1201/b19224-16

357. Early detection of combustion instability from hi-speed flame images via deep learning and symbolic time series analysis

     Soumalya Sarkar, Kin G Lore, Soumik Sarkar, Vikram Ramanan, Satyanarayanan R Chakravarthy, Shashi Phoha, Asok Ray

     Annual Conference of the PHM Society, Vol. 7 (2015) · 77 citations

358. Early Detection of Combustion Instability by Neural-Symbolic Analysis on Hi-Speed Video.

     Soumalya Sarkar, Kin Gwn Lore, Soumik Sarkar

     CoCo@ NIPS, 2015 (2015) · 55 citations

359. Path planning in GPS-denied environments: A collective intelligence approach

     Pritthi Chattopadhyay, Devesh K Jha, Soumik Sarkar, Asok Ray

     2015 American Control Conference (ACC), 3082-3087, 2015, pp. 3082-3087, IEEE (2015) · 16 citations

360. Comparative evaluation of control-oriented zone temperature prediction modeling strategies in buildings

     Venkatesh Chinde, Jeffrey C Heylmun, Adam Kohl, Zhanhong Jiang, Soumik Sarkar, Atul Kelkar

     Dynamic Systems and Control Conference 57250, V002T34A009, 2015, Vol. 57250, pp. V002T34A009, American Society of Mechanical Engineers (2015) · 11 citations

361. Fault-Tolerant optimal control of a large-size, commercial building heating, ventilation and air conditioning system

     V. Adetola, S. Bengea, F. Borrelli, K. Kang, A. Kelman, F. Leonardi, P. Li, T. Lovett, S. Sarkar, S. Vichik (in alphabetical order)

     3rd International High Performance Buildings Conference, (West Lafayette, IN), Jul 14-17, 2014 (2014)

362. Sensor fusion for fault detection and classification in distributed physical processes

     Soumalya Sarkar, Soumik Sarkar, Nurali Virani, Asok Ray, Murat Yasar

     Frontiers in Robotics and AI, Vol. 1, pp. 16, Frontiers Media SA (2014) · 52 citations

363. Model predictive control and fault detection and diagnostics of a building heating, ventilation, and air conditioning system

     Veronica Adetola, Sorin Bengea, Keunmo Kang, Anthony Kelman, Francesco Leonardi, Pengfei Li, Teems Lovett, Soumik Sarkar, Sergey Vichik

     (2014) · 15 citations

364. A novel human machine interface for advanced building controls and diagnostics

     Ritesh Khire, Francesco Leonardi, Paul Quimby, Soumik Sarkar

     (2014) · 8 citations

365. Event-triggered decision propagation in proximity networks

     Soumik Sarkar, Kushal Mukherjee

     Frontiers in Robotics and AI, Vol. 1, pp. 15, Frontiers Media SA (2014) · 5 citations

366. Data-enabled Health Management of Complex Industrial Systems

     Soumik Sarkar, Soumalya Sarkar, Asok Ray

     Fault Detection: Classification, Techniques and Role in Industrial Systems …, 2014, Fault Detection: Classification, Techniques and Role in Industrial Systems, NOVA Science Publishers (2014) · 4 citations

367. Scalable anomaly detection and isolation in cyber-physical systems using bayesian networks

     Sudha Krishnamurthy, Soumik Sarkar, Ashutosh Tewari

     Dynamic Systems and Control Conference 46193, V002T26A006, 2014, Vol. 46193, pp. V002T26A006, American Society of Mechanical Engineers (2014) · 50 citations

368. Occlusion Edge Detection in RGB-D Frames using Deep Convolutional Networks

     Soumik Sarkar, Vivek Venugopalan, K. Krishna Reddy, Michael Giering, Julian Ryde, Navdeep Jaitly

     arXiv preprint arXiv:1412.7007 (2014) · 9 citations

369. Symbolic dynamic analysis of transient time series for fault detection in gas turbine engines

     Soumalya Sarkar, Kushal Mukherjee, Soumik Sarkar, Asok Ray

     Journal of Dynamic Systems, Measurement, and Control, Vol. 135, pp. 014506, American Society of Mechanical Engineers (2013) · 36 citations

370. Engineering FRET-based solar cells: manipulation of energy and electron transfer processes in a light harvesting assembly

     Soumik Sarkar, Samim Sardar, Abhinandan Makhal, Joydeep Dutta, Samir Kumar Pal

     High-Efficiency Solar Cells: Physics, Materials, and Devices, 267-318, 2013, pp. 267-318, Springer International Publishing (2013) · 8 citations

371. Behavior prediction for decision and control in cognitive autonomous systems

     Asok Ray, Shashi Phoha, Soumik Sarkar

     New Mathematics and Natural Computation, Vol. 9, pp. 263-271, World Scientific Publishing Company (2013) · 6 citations

372. Smart homes green cities: the role of intelligent diagnostics and control in energy efficient buildings

     Soumik Sarkar, Teems Lovett, Luca Bertuccelli, Draguna Vrabie, Martin Krucinski, Stevo Mijanovic

     Mechanical Engineering-CIME, Vol. 135, pp. S17-S17, American Society of Mechanical Engineers (2013) · 4 citations

373. Distributed decision propagation in mobile-agent proximity networks

     Soumik Sarkar, Kushal Mukherjee, Asok Ray

     International Journal of Control, Vol. 86, pp. 1118-1130, Taylor & Francis (2013) · 12 citations · DOI: 10.1080/00207179.2013.782511

374. Multi-sensor information fusion for fault detection in aircraft gas turbine engines

     Soumik Sarkar, Soumalya Sarkar, Kushal Mukherjee, Asok Ray, Abhishek Srivastav

     Proceedings of the Institution of Mechanical Engineers, Part G: Journal of Aerospace Engineering, Vol. 227, pp. 1988-2001, SAGE Publications (2013) · 48 citations

375. Maximally bijective discretization for data-driven modeling of complex systems

     Soumik Sarkar, Abhishek Srivastav, Madhusudana Shashanka

     2013 American Control Conference, 2674-2679, 2013, pp. 2674-2679, IEEE (2013) · 32 citations

376. Spatiotemporal information fusion for fault detection in shipboard auxiliary systems

     Soumalya Sarkar, Nurali Virani, Murat Yasar, Asok Ray, Soumik Sarkar

     2013 American Control Conference, 3846-3851, 2013, pp. 3846-3851, IEEE (2013) · 8 citations

377. Optimization of symbolic feature extraction for pattern classification

     Soumik Sarkar, Kushal Mukherjee, Xin Jin, Dheeraj S Singh, Asok Ray

     Signal processing, Vol. 92, pp. 625-635, Elsevier (2012) · 34 citations

378. Design of an ultra-low powered DC-DC buck converter for wireless sensor networks

     Soumik Sarkar, Ashis Maity, Amit Patra

     , pp. 126-131 (2012) · 4 citations · DOI: 10.1109/primeasia.2012.6458640

379. Symbolic transient time-series analysis for fault detection in aircraft gas turbine engines

     Soumalya Sarkar, Kushal Mukherjee, Soumik Sarkar, Asok Ray

     2012 American Control Conference (ACC), 5132-5137, 2012, pp. 5132-5137, IEEE (2012) · 16 citations

380. Statistical mechanics-inspired modeling of heterogeneous packet transmission in communication networks

     Soumik Sarkar, Kushal Mukherjee, Asok Ray, Abhishek Srivastav, Thomas A Wettergren

     IEEE Transactions on Systems, Man, and Cybernetics, Part B (Cybernetics), Vol. 42, pp. 1083-1094, IEEE (2012) · 13 citations

381. Symbolic identification for fault detection in aircraft gas turbine engines

     Subhadeep Chakraborty, Soumik Sarkar, Asok Ray

     Proceedings of the Institution of Mechanical Engineers, Part G: Journal of Aerospace Engineering, Vol. 226, pp. 422-436, SAGE Publications (2012) · 9 citations

382. Data-driven fault detection in aircraft engines with noisy sensor measurements

     Soumik Sarkar, Xin Jin, Asok Ray

     , Vol. 133, pp. 081602 (2011) · 108 citations

383. Optimal partitioning of ultrasonic data for fatigue damage detection?

     Dheeraj Sharan Singh, Soumik Sarkar, Shalabh Gupta, Asok Ray

     , Vol. 25, pp. 798-803 (2011) · 2 citations · DOI: 10.1109/acc.2011.5991263

384. Semantic sensor fusion for fault diagnosis in aircraft gas turbine engines

     Soumik Sarkar, Dheeraj Sharan Singh, Abhishek Srivastav, Asok Ray

     Proceedings of the 2011 American Control Conference, 220-225, 2011, pp. 220-225, IEEE (2011) · 11 citations

385. Distributed decision propagation in mobile agent networks

     Soumik Sarkar, Kushal Mukherjee, Abhishek Srivastav, Asok Ray

     , Vol. 53, pp. 633-638 (2010) · 7 citations · DOI: 10.1109/cdc.2010.5717036

386. Anomaly detection in nuclear power plants via symbolic dynamic filtering

     Xin Jin, Yin Guo, Soumik Sarkar, Asok Ray, Robert M Edwards

     IEEE Transactions on Nuclear Science, Vol. 58, pp. 277-288, IEEE (2010) · 72 citations

387. Symbolic identification for anomaly detection in aircraft gas turbine engines

     Subhadeep Chakraborty, Soumik Sarkar, Asok Ray, Shashi Phoha

     Proceedings of the 2010 American Control Conference, 5954-5959, 2010, pp. 5954-5959, IEEE (2010) · 10 citations

388. Critical phenomena and finite-size scaling in communication networks?

     Soumik Sarkar, Kushal Mukherjee, Abhishek Srivastav, Asok Ray

     Proceedings of the 2010 American Control Conference, 271-276, 2010, pp. 271-276, IEEE (2010) · 10 citations

389. Optimization of time-series data partitioning for parameter identification

     Soumik Sarkar, Kushal Mukherjee, Xin Jin, Asok Ray

     Dynamic Systems and Control Conference 44175, 867-874, 2010, Vol. 44175, pp. 867-874 (2010) · 7 citations

390. Review and comparative evaluation of symbolic dynamic filtering for detection of anomaly patterns

     Chinmay Rao, Asok Ray, Soumik Sarkar, Murat Yasar

     Signal, Image and Video Processing, Vol. 3, pp. 101-114, Springer-Verlag (2009) · 161 citations

391. Generalization of Hilbert transform for symbolic analysis of noisy signals

     Soumik Sarkar, Kushal Mukherjee, Asok Ray

     Signal Processing, Vol. 89, pp. 1245-1251, Elsevier (2009) · 36 citations

392. Statistical estimation of multiple parameters via symbolic dynamic filtering

     Chinmay Rao, Kushal Mukherjee, Soumik Sarkar, Asok Ray

     Signal Processing, Vol. 89, pp. 981-988, Elsevier (2009) · 11 citations

393. Symbolic analysis of time series signals using generalized Hilbert transform

     Soumik Sarkar, Kushal Mukherjee, Asok Ray

     , Vol. 93, pp. 5422-5427 (2009) · 2 citations · DOI: 10.1109/acc.2009.5159908

394. Statistical estimation of multiple faults in aircraft gas turbine engines

     Soumik Sarkar, C Rao, Asok Ray

     Proceedings of the Institution of Mechanical Engineers, Part G: Journal of Aerospace Engineering, Vol. 223, pp. 415-424, SAGE Publications (2009) · 23 citations

395. Suboptimal partitioning of time-series data for anomaly detection

     Xin Jin, Soumik Sarkar, Kushal Mukherjee, Asok Ray

     Proceedings of the 48h IEEE Conference on Decision and Control (CDC) held …, 2009, pp. 1020-1025, IEEE (2009) · 20 citations

396. Understanding phase transition in communication networks to enable robust and resilient control

     Soumik Sarkar, Kushal Mukherjee, Abhishek Srivastav, Asok Ray

     2009 American Control Conference, 1549-1554, 2009, pp. 1549-1554, IEEE (2009) · 13 citations

397. Estimation of multiple faults in aircraft gas-turbine engines

     Soumik Sarkar, Chinmay Rao, Asok Ray

     2009 American Control Conference, 216-221, 2009, pp. 216-221, IEEE (2009) · 7 citations

398. Fault detection and isolation in aircraft gas turbine engines. Part 1: Underlying concept

     Shaalabh Gupta, Asok Ray, Soumik Sarkar, Murat Yasar

     Proceedings of the Institution of Mechanical Engineers, Part G: Journal of Aerospace Engineering, Vol. 222, pp. 307-318, SAGE Publications (2008) · 70 citations

399. Damage monitoring of refractory wall in a generic entrained-bed slagging gasification system

     S Chakraborty, S Sarkar, S Gupta, A Ray

     Proceedings of the Institution of Mechanical Engineers, Part A: Journal of Power and Energy, Vol. 222, pp. 791-807, SAGE Publications (2008) · 19 citations

400. Fault diagnosis and isolation in aircraft gas turbine engines

     Soumik Sarkar, Kushal Mukherjee, Asok Ray, Murat Yasar

     2008 American Control Conference, 2166-2171, 2008, pp. 2166-2171, IEEE (2008) · 12 citations

401. Symbolic identification and anomaly detection in complex dynamical systems

     Subhadeep Chakraborty, Soumik Sarkar, Asok Ray

     2008 American Control Conference, 2792-2797, 2008, pp. 2792-2797, IEEE (2008) · 9 citations

402. Comparative evaluation of symbolic dynamic filtering for detection of anomaly patterns

     Chinmay Rao, Soumik Sarkar, Asok Ray, Murat Yasar

     2008 American Control Conference, 3052-3057, 2008, pp. 3052-3057, IEEE (2008) · 5 citations

403. Estimation of multiple parameters in dynamical systems

     Chinmay Rao, Kushal Mukherjee, Soumik Sarkar, Asok Ray

     2008 American Control Conference, 1292-1297, 2008, pp. 1292-1297, IEEE (2008) · 4 citations

404. Spread Spectrum based M-ary Modulated Robust Image Watermarking

     T. S. Das, V. H. Mankar, Soumik Sarkar

     (2007) · 7 citations

405. Performance evaluation of spread spectrum watermarking using error control coding

     T. S. Das, V. H. Mankar, Soumik Sarkar

     , pp. 708-711 (2007) · 2 citations · DOI: 10.1049/ic:20070704

406. Automated detection of infiltration and cavitation in digital chest radiographs of chronic pulmonary tuberculosis

     Soumik Sarkar, Syomantak Chaudhuri

     , Vol. 3, pp. 1185-1186 (2002) · 5 citations · DOI: 10.1109/iembs.1996.652765

407. Influence of initial profile water status and nitrogen doses on yield and evapotranspiration rate of dryland barley.

     S Sarkar, SK Singh, SR Singh, AP Singh

     , Vol. 47, pp. 22-28 (1999) · 6 citations

408. Evaluation and progression analysis of pulmonary tuberculosis from digital chest radiographs

     Soumik Sarkar, Syomantak Chaudhuri

     Computerized Medical Imaging and Graphics, Vol. 22, pp. 145-155, Elsevier BV (1998) · 4 citations · DOI: 10.1016/s0895-6111(98)00016-0

409. Detection of rib shadows in digital chest radiographs

     Soumik Sarkar, Syomantak Chaudhuri

     Lecture notes in computer science, pp. 356-363, Springer Science+Business Media (1997) · 10 citations · DOI: 10.1007/3-540-63508-4_143

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