People
Lab Director
Current Graduate Students
Yongjae Lee, Ph.D. candidate since Fall 2022
Research Interest: On-device efficient AI algorithm, 3D modeling through NeRF/3DGS
Asmer Hamid Ali, PhD candidate since 2024
Research Interest: AI accelerator hardware
Jingxing Li, PhD candidate since 2024 Fall
Research Interest: On-device efficient AI algorithm, 3D modeling through NeRF/3DGS
Jingkai Guo, PhD candidate since 2025 Spring
Research Interest: Efficient and Secure AI
Md. Habibur Rahman, PhD candidate since 2025 Spring
Research Interest: AI Chip
Yihang Zuo, PhD candidate since 2025 Fall
Research Interest: AI Hardware-Software Co-Design
Alumni PhD
Zhezhi He, Ph.D. awarded in 2020 Summer
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 2021 Spring
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. awarded in 2022 Summer
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. awarded in 2023 Summer
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/
Fan Zhang, Ph.D. awarded in 2024 Summer
Ph.D. thesis: Efficient In- and Near-Memory Computing System With Hardware and Software Co-Design
Current: Google
Amitesh Sridharan, Ph.D. in 2025 Summer
Ph.D. thesis: Compute-in-memory Circuits and Architectures for Efficient Acceleration of AI and Data Centric Workloads
Current: Apple
Alumni Master with Thesis
Zhou Yu
Master with thesis in 2023 Fall
Master thesis title: NeRF Robustness Study Against Adversarial Bit Flip Attack
Zeming Zhou
Master with thesis in 2023 Summer
Master thesis title: Deep Learning based Air Quality Prediction with Time Series Sensor Network Data
Kiju Kim
Master with thesis awarded in 2021 Fall
Master thesis title: Accelerating Genome Quantification in FPGA
Li Yang
Master with thesis awarded in 2018 Fall
Master thesis title: Exploring FPGA Implementation for Binarized Neural Network Inference