About me

I am an Assistant Professor with the ECSE Department of Case Western Reserve University (CWRU). Before that, I was an Applied Scientist at Amazon AGI, where I contributed to enhancing the video understanding capabilities of Amazon Nova, a next-generation foundation model. I have obtained my PhD degree from the Ming Hsieh Department of Electrical and Computer Engineering (ECE) at University of Southern California in 2023. I was advised by Prof. Peter A. Beerel. My research interests include energy and latency efficient algorithm-hardware co-design for machine learning at the edge.

During my PhD tenure, I was fortunate to be a recipient of the USC Viterbi School of Engineering’s highest achievement award, The 2024 William Ballhaus Best PhD Dissertation Award, the IEEE Graduate Fellowship on Applied Superconductivity 2022, the best Research Assistant (RA) award from USC ECE, and the Annenberg fellowship. I was also a finalist of the Qualcomm Innovation fellowship 2022 (North America), a Ming Hsieh Ph.D. scholar, and a DAC 2021 PhD fellow. I have published more than 45 peer-reviewed papers in top-tier venues including Nature Scientific Reports, Frontiers in Neuroscience, ICLR, ECCV, TCAS-I, DATE, WACV, among others, and received a best paper award nomination at VLSI-SoC 2022. Lastly, my research on in-sensor computing have been highlighted multiple times here and here by Edge Impulse, a leading semiconductor IP company for TinyML, and USC Viterbi School of Engineering here.

Prior to joining USC, I attended IIT Kharagpur where I obtained my B.Tech. degree in Instrumentation Engineering with a minor in Electronics and Communication Engineering in 2018. I was adjudged the academically best outgoing student in my programme at IIT Kharagpur.

In my spare time, I like learning Mathematical Analysis, Modern Finance, Economics and Philosophy. I also like playing and watching soccer, and driving along the Pacific highway.

Research Areas

• In-Sensor Computing
• In-Memory Computing
• Neuromorphic Computing
• Embedded Machine Learning
• Machine Learning for Smart Healthcare
• Efficient Multi-Modal Foundation Models

Prospective Students

I will be looking for M.S./Ph.D. students and interns starting Summer 2025/Fall 2025/Spring 2026. Please send me an email at gourav.datta@case.edu and consider applying to CWRU Computer Engineering! You can find more information about joining my research group in my student recruitment guide [PDF].