Current PhD Students

Jipeng Li (ECE)
MS, Tsinghua University, China
2024-

Renxiang Huang (ECE)
MS, UIUC
2024-

Mo Lyu (CS)
BS, City University of Hong Kong, China
2024-

Yanhao Jin (Statistics, Co-advise with Krishnakumar Balasubramanian)
MS, UC Davis
2024-

Haodong Liang (ECE)
MS, University of Michigan
2023-

Chenye Yang (ECE)
MS, Columbia University
2022-

Xinyi Ni (ECE)
BS, Zhejiang University, China
2019-

Current MS Students

Aunsh Bandivadekar (ECE, Co-advise with Boon-Ling Yeo)
2024-

Alumni

Guanlin Liu, PhD, 2024
Thesis: Towards Adversarial Robustness of Sequential Decision Making Algorithms
Current Employment: ByteDance

Parisa Oftadeh, MS, 2024
Thesis: Multi-Agent Constrainted Linear Bandits

Yulu Jin, PhD, 2023
Thesis: Robust Statistical Inference with Privacy and Fairness Constraints
Current Employment: Tiktok

Xiaochuan Ma, PhD, 2023 (co-advised with Professor Shuguang Cui)
Thesis: Two-stage Sequential Change Diagnosis Problems
Current Employment: Samsung

Minhui Huang, PhD, 2022 (co-advised with Professor Shiqian Ma)
Thesis: Minimax Problems in Optimal Transport: Algorithm Design and Convergence Analysis
Current Employment: Meta

Xinyang Cao, PhD, 2022
Thesis: Distributed Optimization Methods Robust to Byzantine Attackers
Current Employment: Micron Technology

Aakansha Bhatt, MS,  2022
Thesis: Host Memory Buffer Implementation in Modern Solid State Devices
Current Employment: Solidigm

Victor Madrid, MS, 2022
Thesis: An Information Theoretic Approach for Fair Machine Learning

Puning Zhao, PhD, 2021
Thesis: Nearest Neighbor Methods with Applications in Functional Estimation and Machine Learning
Current Employment: Zhejiang Lab

Fuwei Li, PhD, 2021 (co-advised with Professor Shuguang Cui)
Thesis: On the Adversarial Robustness of Machine Learning Algorithms
Current Employment: Black Sesame Technology

Melody Tao, MS, 2020
Thesis: Deepfake Detection Using Sequential Transient Change Detection
Current Employment: Raytheon

Wenwen Zhao, PhD, 2018
Thesis: Distributed Testing with Multi-terminal Data Compression
Current Employment: Qualcomm

Wenwen Tu, PhD, 2018
Thesis: Information Theoretic Approaches for Security and Privacy
Current Employment: Intel

Bingwen Zhang, PhD, 2017
Thesis: Change-points Estimation in Statistical Inference and Machine Learning Problems
Current Employment: Google

Mostafa El Gamal, PhD, 2017
Thesis: Distributed Statistical Learning under Communication Constraints
Current Employment: Western Digital

Ain-ul-Aisha, PhD, 2017
Thesis: Fundamental Limits of Poisson Channels in Visible Light Communications
Current Employment: Hatachi Insight Group

Jun Geng, PhD, 2014
Thesis: Quickest Change-Point Detection with Sampling Right Constraints
Current Employment: Associate Professor at Harbin Institute of Technology, China

Raied Caromi, PhD, 2014 (Co-advised with Dr. Seshari Mohan)
Thesis:  Optimal Spectrum Sensing and Channel Search Strategies for Cognitive Radio Systems: Algorithms, Analysis and Real-time Implementation
Current Employment: National Institute of Standards and Technology

Past Visitors

Tian Xia, Visiting Professor, 2019-2022
Ying Li, Visiting Student, 2019-2020
Ken-wen Huang, Visiting Student, 2019-2020
Jin Xu, Visiting Professor, 2018-2019
Yunfang Zhu, Visiting Professor, 2018-2019
Rongfei Fan, Visiting Professor, 2017-2018
Qian Liu, Visiting Professor, 2017-2018
Qi Gu, Visiting Student, 2017-2018
Zhenzhou Tang, Visiting Professor, 2015
Qian Hu, Visiting Professor, 2015