Faculty – TCS @ Illinois

This page is updated regularly, but not as immediately as the departmental list.

Primary Faculty

Timothy Chan
Computational Geometry, Algorithms, Data Structures
Karthik Chandrasekaran
Combinatorial Optimization, Integer Programming, Probabilistic Methods and Analysis, Randomized Algorithms
Chandra Chekuri
Approximation Algorithms, Combinatorial Optimization, Algorithms
Kate Donahue
Societal aspects, Fairness, Game Theory, AI/ML (Starting Fall 2025)
Jeff Erickson
Computational Geometry and Topology, Algorithms
Michael A. Forbes
Pseudorandomness, Algebraic Computation, Computational Complexity
Jugal Garg
Algorithmic Game Theory, Algorithms, Mathematical Programming
Sariel Har-Peled
Computational Geometry, Geometric Approximation Algorithms
Sheldon Jacobson
Optimization, Operations Research
Fernando Granha Jeronimo
Algorithms, Complexity, Codes, Quantum
Dakshita Khurana
Cryptography, Secure Computation, Zero-Knowledge, Differential Privacy
Ruta Mehta
Algorithmic Game Theory, Mathematical Economics, Efficient Algorithms
Bhaskar Ray-Chaudhury
Economics and Computation, Social Choice Theory, ML
Makrand Sinha
Quantum Computing, Complexity, Optimization, Stochastic Processes

Nancy M. Amato — Geometry, Parallel Algorithms, Computational Biology
Arindam Banerjee — Machine learning, AI, Data mining
Mohammed El-Kebir — Combinatorial Optimization, Integer Linear Programming, Computational Biology
Brighten Godfrey — Networking systems and theory
David Heath — Cryptography and Security
Nan Jiang — Reinforcement Learning Theory, Machine Learning, Sample Complexity Analysis
Madhusudan Parthasarathy — Logic, automata theory, verification
Ling Ren— Cryptography, Distributed Algorithms
Marc Snir — Parallel computing
Edgar Solomonik— Parallel computing
Mahesh Viswanathan — Automata theory, logic, algorithmic verification, security
Tandy Warnow — Graph Algorithms, Statistical Estimation, Applications to Biology & Historical Linguistics
Tong Zhang — Machine learning theory, algorithms, optimization
Han Zhao — Machine Learning, Information Theory, Representation Learning

Jozsef Balogh (Math) — Combinatorics, graph theory
Eric Chitambar (ECE) — Quantum information theory
Bryan Clark (Physics) — Quantum information, condensed matter, and computing
Partha Dey (Math) — Probability theory and connections
Bruce Hajek (ECE) — Communication networks, stochastic analysis, information theory
Alexander Kostochka (Math) — Combinatorics, graph theory
Felix Leditzky (Math) — Quantum information theory
Yi Lu (ECE) — Networks, coding, performance analysis
Abhishek Methuku (Math) — Combinatorics, graph theory
Olgica Milenkovic (ECE) — Coding theory, algorithms, bio-informatics
Max Raginsky (ECE) — Statistical machine learning, information theory
R Srikant (ECE) — Communication networks, stochastic analysis, optimization, game theory
Sasha Stolyar (ISE) — Queuing theory, applied probability
Qiong Wang (ISE) — Queuing theory, applied probability, OR applications
Doug West (Math) — Graph theory
Yupeng Zhang (ECE) — (Applied) Cryptography and Security