Graduate and Undergraduate Students
Abdullah Altawaitan
UC San Diego
PhD student
Robotics
Daniel Beaglehole
UC San Diego
PhD student
Feature Learning, Deep Learning Theory, Data-dependent Kernels
Mohammad Fereydounian
University of Pennsylvania
PhD student
Graph Neural Networks, Optimal Transport, Information Coding Theory
Khashaiar Gatmiry
MIT
PhD student
Machine Learning Theory, Sampling, Optimization
Behrad Moniri
University of Pennsylvania
PhD student
High-dimensional Asymptotics, Random Matrix Theory, Deep Learning and Information Theory
Alex Robey
University of Pennsylvania
PhD student
Mathematical and Algorithmic Foundations of Robust Learning
Nicholas Sieger
UC San Diego
PhD student
Spectral Graph Theory
Anusha Srikanthan
University of Pennsylvania
PhD student
Robotics, Learning-based Control, Multiagent Systems
Berkay Uslu
University of Pennsylvania
PhD student
Networks
Grigoris Velegkas
Yale University
PhD student
Trustworthy Machine Learning, Non-convex and Submodular Optimization, Online Learning
Xinghan Wang
UC San Diego
PhD student
Decentralized and Federated Bayesian Deep Learning, Reinforcement Learning
Xiaofan Yu
UC San Diego
PhD student
Embedded Systems, Edge Computing, Machine Learning, Network Optimization
Ruisi Zhang
UC San Diego
PhD student
Machine and Federated Learning, Graph Neural Networks, Large Language Models
Quanling Zhao
UC San Diego
Undergraduate
Hyperdimensional Computing, Federated Learning
Minxuan Zhou
UC San Diego
PhD student
Processing In-memory Architecture, System Modeling and Management, Graph Processing, Memory Systems
Heng Zhu
UC San Diego
PhD student
Federated Learning, Optimization