M.S. 2021
Joined Spring 2019Now: Research Scientist – AI, GE Vernova Advanced Research Center
- M.S., Electrical Engineering, Iowa State University, 2021
- B.Tech., Electronics Engineering, Veermata Jijabai Technological Institute (VJTI), Mumbai, 2018
Jaydeep joined the lab in Spring 2019, co-advised by Dr. Soumik Sarkar and Dr. Adarsh Krishnamurthy. His research interests were deep learning, image processing, and their applications, and he worked on deep learning for topology optimization; his M.S. thesis was titled "Deep Learning Frameworks for Structural Topology Optimization." Outside of academics, he enjoys music, cooking, and traveling.
He graduated from the SCS Lab in December 2020 and continued as a Ph.D. student in Electrical Engineering at Iowa State University under Dr. Adarsh Krishnamurthy and Dr. Anwesha Sarkar, working on 3D deep learning, including protein structure reconstruction from AFM images. He is currently a Research Scientist – AI at the GE Vernova Advanced Research Center.
Research interests: Deep learning, computer vision, 3D computer vision, AI for engineering
Publications with the lab (11)
- In-context adaptation of VLMs for few-shot cell detection in optical microscopy — Frontiers in Artificial Intelligence (2026)
- BPS2026 – In-context adaptation of vision language models (VLMs) for few-shot cell detection in microscopy — Biophysical Journal (2026)
- Conversational LLM-based decision support for defect classification in AFM images — IEEE Open Journal of Instrumentation and Measurement, IEEE (2025)
Show all 11
- Latent diffusion models for structural component design — Computer-Aided Design (2024)
- 3d reconstruction of protein structures from multi-view afm images using neural radiance fields (nerfs) — Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern … (2024)
- Deep learning-based 3D multigrid topology optimization of manufacturable designs — Engineering Applications of Artificial Intelligence (2023)
- Deep learning for live cell shape detection and automated afm navigation — Bioengineering (2022)
- 3d reconstruction of protein complex structures using synthesized multi-view afm images — Machine Learning for Structural Biology Workshop, NeurIPS 2022 (2022)
- AI guided measurement of live cells using AFM — IFAC-PapersOnLine (2021)
- Algorithmically-consistent deep learning frameworks for structural topology optimization — Engineering Applications of Artificial Intelligence (2021)
- Multigrid Distributed Deep CNNs for Structural Topology Optimization — AAAI 2022 Workshop on AI for Design and Manufacturing (ADAM) (2021)
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