Xin Guo Dept of Industrial Engineering & Operations Research stochastic control and games, theory of machine learning and applications to medical and financial data analysis, applied probability and stochastic models
Thibaut Mastrolia Dept of Industrial Engineering & Operations Research stochastic control, game theory, finance, optimization
Carl Boettiger Dept of Environmental Science, Policy & Management theoretical ecology, stochastic processes, optimal control, decision theory, ecoinformatics, data science, tipping points
Venkat Anantharam Division of Electrical Engineering (EECS) game theory, applied probability, electrical engineering, communications, control, communication networks, error control coding
Negar Mehr Dept of Mechanical Engineering robotics, control theory, artificial intelligence, game theory, machine learning
Greg Niemeyer Dept of Art Practice art, digital media installations, photography, data science, new technology, video games
Francesco Borrelli Dept of Mechanical Engineering automotive control systems, distributed and robust constrained control, manufacturing control systems, energy efficient buildings, model predictive control
Masayoshi Tomizuka Dept of Mechanical Engineering robotics, mechatronics, control systems theory, digital control, dynamic systems, mechanical vibrations, adaptive and optimal control, motion control
Rhonda Righter Dept of Industrial Engineering & Operations Research stochastic systems, service operations, scheduling and load balancing, telecommunications, computer and internet communications
David M. Auslander Dept of Mechanical Engineering control systems, simulation, mechatronics, real time software, energy management, satellite attitude control, demand response, machine control
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
Huiwen Jia Dept of Industrial Engineering & Operations Research stochastic and robust optimization, machine learning, online learning algorithms, transportation, Revenue Management, service system design
James Pitman Dept of Statistics fragmentation, statistics, mathematics, Brownian motion, distribution theory, path transformations, stochastic processes, local time, excursions, random trees, random partitions, processes of coalescence
Roberto Horowitz Dept of Mechanical Engineering adaptive control, machine learning, learning and nonlinear control, control of robot manipulators, computer mechatronics systems, micro-electromechanical systems (MEMS), intelligent vehicle, highways systems
Javad Lavaei Dept of Industrial Engineering & Operations Research control theory, optimization, power systems
Jay T. Groves Dept of Chemistry physical chemistry, intracellular signal transduction mechanisms, physical chemistry of cell membranes, single molecule imaging, stochastic processes
Michael Cassidy Dept of Civil and Environmental Engineering traffic and transportation operations, traffic control
Jessica Boles Division of Electrical Engineering (EECS) power electronic circuits, components, control
Claire Tomlin Division of Computer Science (EECS) Division of Electrical Engineering (EECS) electrical engineering, computer sciences, control, biosystems, control theory, intelligent systems, robotics, hybrid and embedded systems, biological cell networks
Maria Laura Delle Monache Dept of Civil and Environmental Engineering control, transportation, traffic flow theory and control, nonlinear partial differential equations, mathematical modeling, mixed autonomy transportation
Joni Wallis Dept of Neuroscience prefrontal cortex, neurophysiology, executive control, decision making
Peter Bartlett Dept of Statistics Division of Computer Science (EECS) machine learning, statistical learning theory, adaptive control
Jose M. Carmena Division of Electrical Engineering (EECS) brain-machine interfaces, neural ensemble computation, neuroprosthetics, sensorimotor learning and control
Xin Guo
Xin Guo
Xin Guo
