Ph.D. 2024, Postdoc
Now: Data Scientist, Translational AI Center (TrAC), Iowa State University
- Ph.D., Mechanical Engineering and Computer Engineering, Iowa State University, 2024
- B.S., Mechanical Engineering, Iowa State University, 2019
Joshua completed his Ph.D. at Iowa State University in 2024 under the supervision of Dr. Soumik Sarkar. He then served as a Postdoctoral Research Associate with the Translational AI Center (TrAC), working on applied AI research across computer vision, multimodal AI, agentic AI systems, and simulation-based decision support.
He is now a Data Scientist at TrAC.
Research interests: Computer vision, multimodal AI, agentic AI systems, simulation-based decision support, machine learning
Publications with the lab (19)
- DeCAF: Decentralized consensus-and-factorization for low-rank adaptation of foundation models — Neural Networks (2026)
- A framework for AI-integrated models to assess agricultural resilience — Frontiers in Sustainable Food Systems (2026)
- AI-integrated models for assessing agricultural resilience — arXiv (2026)
Show all 19
- COOPO: Cyclic Offline-Online Policy Optimization Algorithm — arXiv (2026)
- Lighting-aware Unified Model for Instance Segmentation — arXiv (2026)
- Bidirectional linear recurrent models for sequence-level multisource fusion — Information Fusion (2026)
- Enhancing PPO With Trajectory-Aware Hybrid Policies — IEEE Transactions on Neural Networks and Learning Systems (2026)
- Optimizing navigation and chemical application in precision agriculture with deep reinforcement learning and conditional action tree — Smart Agricultural Technology (2025)
- RLS3: RL-Based Synthetic Sample Selection to Enhance Spatial Reasoning in Vision-Language Models for Indoor Autonomous Perception — Proceedings of the ACM/IEEE 16th International Conference on Cyber-Physical … (2025)
- FUSE: First-Order and Second-Order Unified Synthesis in Stochastic Optimization — 2025 IEEE Conference on Artificial Intelligence (CAI) (2025)
- A unified convergence theory for large language model efficient fine-tuning — OPT 2024: Optimization for Machine Learning (2024)
- Diagnosis of pregnancy disorder in the first‐trimester patient plasma with Raman spectroscopy and protein analysis — Bioengineering & translational medicine (2024)
- Metabolic response to small molecule therapy in colorectal cancer tracked with Raman spectroscopy and metabolomics — Angewandte Chemie International Edition (2024)
- Dimat: Decentralized iterative merging-and-training for deep learning models — Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern … (2024)
- First trimester prediction of preterm birth in patient plasma with machine-learning-guided Raman spectroscopy and metabolomics — ACS applied materials & interfaces (2023)
- Few-shot deep learning for AFM force curve characterization of single-molecule interactions — Patterns (2023)
- Active shooter detection and robust tracking utilizing supplemental synthetic data — arXiv preprint arXiv:2309.03381 (2023)
- Deep learning for fast atomic force microscopy data analytics — Biophysical Journal (2021)
- Fast inverse design of microstructures via generative invariance networks — Nature Computational Science (2021)
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