
About
Gourav Datta is an Assistant Professor in the Department of Electrical, Computer, and Systems Engineering at Case Western Reserve University (CWRU). He holds a PhD from the University of Southern California (USC) and a B.Tech. from IIT Kharagpur. His research focuses on energy-efficient algorithm-hardware co-design for machine learning at the edge, with specializations in In-Sensor Computing, Neuromorphic Computing, and Embedded Machine Learning. Prior to CWRU, he worked as an Applied Scientist at Amazon AGI, contributing to Amazon Nova's video understanding capabilities.
Education:
- PhD in Electrical Engineering, USC (2023)
- B.Tech. in Instrumentation Engineering, IIT Kharagpur (2018)
Research Interests:
- Energy-efficient computer vision and multimodal deep learning
- In-sensor computing and neuromorphic architectures
- Efficient model deployments on FPGAs/microcontrollers
- Multi-modal KV cache compression and retrieval-augmented generation
Awards:
- 2024 William Ballhaus Best PhD Dissertation Award
- 2023 USC ECE Best RA Award
- 2022 Qualcomm Innovation Fellowship finalist
- 2018 USC Annenberg Fellowship
Academic Service:
- Program committee member for ISQED, VLSID, DAC (2024–2025)
- Reviewer for IEEE journals and conferences including ICASSP, ICLR, and WACV
Labs/Teams: Leads research on edge computing and neuromorphic systems at CWRU's ECSE department, collaborating with industry partners like Edge Impulse.
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