People
Lab Director
Current Graduate Students
Fan Zhang, Ph.D. student since summer 2020
Research Interest: In-memory computing circuits and architecture
Fan will have his PhD defense in Summer 2024 and join Google afterwards
Amitesh Sridharan, Ph.D. student since Spring 2021
Research Interest: In-memory computing circuits, digital VLSI design
Yongjae Lee, Ph.D. student since Fall 2022
Research Interest: On-device efficient AI algorithm, 3D modeling through NeRF/3DGS
Zhaoliang Zhang, Ph.D. student since Fall 2023
Research Interest: On-device efficient AI algorithm and system, 3D modeling through NeRF/3DGS
Juyang Bai, Ph.D. student since Fall 2023
Research Interest: AI security
Asmer Hamid Ali, PhD since 2024
Research Interest: Efficient AI hardware
Alumni_PhD
Zhezhi He, Ph.D. awarded in Summer 2020
Ph.D. thesis: Efficient and Secure Deep Learning Inference System, A Software and Hardware Co-Design Perspective;
Current: Associate Professor in Shanghai Jiaotong University;
Research website: https://elliothe.github.io/
Shaahin Angizi, Ph.D. awarded in Spring 2021
Ph.D. thesis: Processing-in-Memory for Data-Intensive Applications, From Device to Algorithm
Current: Assistant Professor in New Jersey Institute of Technology
Research Website: https://www.shaahinangizi.com/
Adnan Siraj Rakin, Ph.D. degree awarded in summer 2022
Ph.D. thesis: Exploration of Security and Privacy Challenges through Adversarial Weight Perturbation in Deep Learning Models.
Current: Assistant Professor of The State University of New York, Binghamton
Research Website: https://www.adnansirajrakin.com/
Li Yang, Ph.D. degree awarded in summer 2023.
Ph.D. thesis: Efficient Deep Learning at Edge, From Efficient and Dynamic Inference to On-Device Learning
Current: Assistant Professor, University of North Carolina at Charlotte
Website: https://lyang-666.github.io/
Alumni_Master
Zhou Yu
Master defense in Fall 2023
Master thesis title: NeRF Robustness Study Against Adversarial Bit Flip Attack
Zeming Zhou
Master defense in Summer 2023
Master thesis title: Deep Learning based Air Quality Prediction with Time Series Sensor Network Data
Kiju Kim
Master with thesis awarded in Fall 2021
Master thesis title: Accelerating Genome Quantification in FPGA
Li Yang
Master with thesis awarded in Fall 2018
Master thesis title: Exploring FPGA Implementation for Binarized Neural Network Inference