Assistant Professor
Department of Electrical, Computer, and Systems Engineering
Case School of 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. Visit my web page.
Research Information
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).
Awards and Honors
The William Ballhaus Best PhD Dissertation Award
2024
USC Viterbi School of Engineering
USC Order of Arete for Exemplary leadership and service to the USC community
2024
Best Graduate Research Assistant Award
2023
ECE department at USC
Best paper nomination
2022
VLSI-SoC Conference
Ming Hsieh PhD scholarship
2022
USC
Graduate Study Fellowship in Applied Superconductivity
2022
IEEE CSC
Finalist in the Qualcomm Innovation Fellowship North America competition
2022
Qualcomm
Annenberg Fellowship for top incoming PhD students
2018
USC
Academically best outgoing student in the batch of Instrumentation Engineering
2018
IIT Kharagpur
Education
Ph.D.
Electrical Engineering
University of Southern California
2023
Bachelor of Technology
Instrumentation Engineering
Indian Institute of Technology (IIT) Kharagpur
2018