Clark Nguyen Division of Electrical Engineering (EECS) electrical engineering, computer sciences, integrated circuits, sensors, micro electromechanical systems, signal processors, frequency control, RF communications, micromachining technology
Venkat Anantharam Division of Electrical Engineering (EECS) game theory, applied probability, electrical engineering, communications, control, communication networks, error control coding
K. Birgitta Whaley Dept of Chemistry quantum information and quantum computation, control and simulation of complex quantum systems, quantum effects in biological systems, quantum physics, quantum mechanics
Alex Skabardonis Dept of Civil and Environmental Engineering transportation, traffic engineering, traffic control systems, traffic management, the environment
Alper Atamturk Dept of Industrial Engineering & Operations Research sparse learning, integer programming, computational optimization, robust optimization, logistics
Aditi Krishnapriyan Dept of Chemical & Biomolecular Engineering Division of Computer Science (EECS) machine learning, geometric deep learning, differentiable physics, dynamical systems, numerical methods, computational geometry, optimization
S. Shankar Sastry Dept of Bioengineering Dept of Mechanical Engineering Division of Electrical Engineering (EECS) embedded and cyberphysical systems, artificial intelligence, AR/VR, computer science, robotics, arial robots, cybersecurity, cyber defense, homeland defense, nonholonomic systems, control of hybrid systems, sensor networks, interactive visualization, robotic telesurgery, rapid prototyping
Ion Stoica Division of Computer Science (EECS) networking and distributed computer systems, quality of service (Q of S) and resources management, modeling and performance analysis
Ali Mesbah Dept of Chemical & Biomolecular Engineering model predictive control, learning-based control, low-temperature plasma processing, machine learning and control for plasmas, semiconductor manufacturing
Michael Jordan Dept of Statistics Division of Computer Science (EECS) computer science, artificial intelligence, computational biology, statistics, machine learning, electrical engineering, applied statistics, optimization
Ying Cui Dept of Industrial Engineering & Operations Research continuous optimization, optimization under uncertainty, statistical estimations, machine learning, artificial intelligence
Boubacar Kante Division of Electrical Engineering (EECS) optoelectronics, quantum optics, optimization, Antennas, Biophysics and Sensing
Ali Javey Division of Electrical Engineering (EECS) nanotechnology, low power electronics, flexible electronics and sensors, nanofabrication, energy harvesting and conversion, programmable matter
Laurel Larsen Dept of Civil and Environmental Engineering Dept of Geography hydroecology, geomorphology, complex systems, restoration ecology, environmental modeling, wetlands, sediment transport, environmental fluid mechanics
Yuan Cao Division of Electrical Engineering (EECS) physical electronics, micro/nano electro mechanical systems, physics
Luis Ceferino Dept of Civil and Environmental Engineering multi-hazard risk analysis, reliability of critical infrastructure systems, climate adaptation and disaster resilience, structural engineering, extreme event modeling
Paul Grigas Dept of Industrial Engineering & Operations Research optimization, machine learning, data-driven decision-making
Huiwen Jia Dept of Industrial Engineering & Operations Research stochastic and robust optimization, machine learning, online learning algorithms, transportation, Revenue Management, service system design
Rikky Muller Division of Electrical Engineering (EECS) integrated circuits, biosystems and computational biology, micro/nano electro mechanical systems
Satish Rao Division of Computer Science (EECS) combinatorial optimization, design and analysis of algorithms
Fotini Chow Dept of Civil and Environmental Engineering environmental fluid mechanics, wind energy applications, clouds, large-eddy simulation, turbulence modeling, atmospheric boundary layer flow, flow over complex terrain, wildfire smoke transport, methane emissions, urban dispersion modeling, urban air quality
Prasad Raghavendra Division of Computer Science (EECS) theory(THY), optimization, complexity theory, approximation algorithms
Clark Nguyen
