Alper Atamturk Dept of Industrial Engineering & Operations Research sparse learning, integer programming, computational optimization, robust optimization, logistics
Dorit Hochbaum Dept of Industrial Engineering & Operations Research data mining, integer programming, discrete optimization, network flow techniques, clustering, image segmentation, machine vision, pattern recognition
Sarah Chasins Division of Computer Science (EECS) programming systems, human-computer interaction, programming languages, programming languages and compilers, program synthesis, data science
Krste Asanovic Division of Computer Science (EECS) computer architecture, VLSI design, parallel programming
Ilan Adler Dept of Industrial Engineering & Operations Research mathematical programming, computational game theory, applied probability
Ying Cui Dept of Industrial Engineering & Operations Research continuous optimization, optimization under uncertainty, statistical estimations, machine learning, artificial intelligence
Koushik Sen Division of Computer Science (EECS) computer science, programming systems, software engineering, programming languages, computational logic, software testing, verification, model checking, runtime monitoring, performance evaluation
Javad Lavaei Dept of Industrial Engineering & Operations Research control theory, optimization, power systems
Alvin Cheung Division of Computer Science (EECS) program analysis, program synthesis, database application performance, big systems, big data, database management, database management systems, database design and construction, programming languages and compilers, programming languages
Thibaut Mastrolia Dept of Industrial Engineering & Operations Research stochastic control, game theory, finance, optimization
Satish Rao Division of Computer Science (EECS) combinatorial optimization, design and analysis of algorithms
Paul Grigas Dept of Industrial Engineering & Operations Research optimization, machine learning, data-driven decision-making
Armando Fox Division of Computer Science (EECS) online education, MOOC, blended learning, parallel programming, software engineering, Web development
Prasad Raghavendra Division of Computer Science (EECS) theory(THY), optimization, complexity theory, approximation algorithms
Ming Gu Dept of Mathematics mathematics, scientific computing, numerical linear algebra, convex optimization
Boubacar Kante Division of Electrical Engineering (EECS) optoelectronics, quantum optics, optimization, Antennas, Biophysics and Sensing
Anil Aswani Dept of Industrial Engineering & Operations Research machine learning and artificial intelligence, precision health, optimization, statistics
Sam Pimentel Dept of Statistics causal inference, health services & policy analysis, biostatistics, discrete optimization
Rajan Udwani Dept of Industrial Engineering & Operations Research algorithms, optimization under uncertainty, Revenue Management, pricing, online platforms
Björn Hartmann Division of Computer Science (EECS) human-computer interaction, user interfaces, end-user programming, design tools, prototyping, crowdsourcing, multitouch, sensing
Scott Moura Dept of Civil and Environmental Engineering control systems, optimization, data science, batteries, electric vehicles, energy systems
Michael J. Lindsey Dept of Mathematics applied mathematics, mathematical analysis, probability, numerical analysis, optimization, Monte Carlo methods
Duncan Callaway Dept of Energy & Resources Group Division of Electrical Engineering (EECS) energy systems analysis, grid decarbonization, modeling and control and optimization for electric power systems
Venkatesan Guruswami Dept of Mathematics Division of Computer Science (EECS) theoretical computer science, coding theory, approximate optimization, randomness in computation, computational complexity
Max Willsey
Max Willsey
Max Willsey
