Gourav Datta
Assistant Professor, Department of Electrical, Computer and Systems Engineering
Research broadly focuses on In-Sensor Computing, In-Memory Computing, Neuromorphic Computing, Embedded Machine Learning, Machine Learning for Smart Healthcare, and Efficient Multi-Modal Foundation Models.
Please visit my webpage at godatta.github.io.
Please visit my webpage at godatta.github.io.
Education
Ph.D.,
Electrical Engineering,
University of Southern California,
2023
B.Tech.,
Instrumentation Engineering (with a minor in Electronics and Electrical Communication Engineering),
Indian Institute of Technology (IIT) Kharagpur,
2018
Awards and Recognitions
2024, The William Ballhaus Best PhD Dissertation Award, USC Viterbi School of Engineering
2024, USC Order of Arete for Exemplary leadership and service to the USC community,
2023, Best Graduate Research Assistant Award, ECE department at USC
2022, Ming Hsieh PhD scholarship, USC
2022, Graduate Study Fellowship in Applied Superconductivity, IEEE CSC
2022, Finalist in the Qualcomm Innovation Fellowship North America competition, Qualcomm
Research Interests
Our group is currently working on energy-efficient computer vision and multimodal deep learning for a wide range of applications (e.g., smart healthcare). We focus on cutting-edge research including i) Multi-modal KV cache compression, ii) Efficient Retrieval Augmented Generation, iii) Model deployments on embedded edge devices (FPGAs, microcontrollers), and iv) Emerging computing paradigms (in-sensor and neuromorphic computing)
Prospective Students
I am actively looking for multiple self-motivated M.S./Ph.D. students starting Summer/Fall 2025. If you would like to work with me, please email me at gourav.datta@case.edu with your CV and transcripts.
Please visit my webpage at godatta.github.io for more information.