Van P. Carey Dept of Mechanical Engineering mechanical engineering, use of machine learning to develop high performance energy conversion and thermal management technologies, micro-to-nanoscale modeling of the thermophysics of multiphase systems, waste plastic transport in environmental watersheds, waste plastic recycling
Guanyu Su Dept of Nuclear Engineering energy systems and technology, wireless sensor networks, machine learning, thermal hydraulics, heat and mass transfer in molten salt, high temperature thermal energy storage
Gail S. Brager Dept of Architecture architecture, high-performance buildings, energy use, indoor environmental quality, post-occupancy evaluation, comfort and adaptation in buildings, natural ventilation and mixed mode
Gerbrand Ceder Dept of Materials Science and Engineering energy storage, computational modeling, machine learning, autonomous laboratories
Daniel Kammen Dept of Energy & Resources Group Dept of Nuclear Engineering Goldman School of Public Policy public policy, nuclear engineering, energy, resources, risk analysis as applied to global warming, methodological studies of forecasting, hazard assessment, renewable energy technologies, environmental resource management
Tracy Becker Dept of Civil and Environmental Engineering advanced structural systems, structural dynamics, structural design, earthquake engineering, isolation and other high performance systems, use of novel materials in design
Katherine A. Yelick Division of Computer Science (EECS) high performance computing, partitioned Global Address Space programming, communication-avoiding algorithms, automatic performance tuning, high performance data analytics, computational biology
Huiwen Jia Dept of Industrial Engineering & Operations Research stochastic and robust optimization, machine learning, online learning algorithms, transportation, Revenue Management, service system design
Nitash P. Balsara Dept of Chemical & Biomolecular Engineering electrochemical energy conversion, polymer properties, small angle scattering, nanoscale and microscale sciences
Ryan Tibshirani Dept of Statistics statistical computing, applications in public health, high-dimensional data analysis, nonparametric inference, artificial intelligence, machine learning
Ali Javey Division of Electrical Engineering (EECS) nanotechnology, low power electronics, flexible electronics and sensors, nanofabrication, energy harvesting and conversion, programmable matter
Per F. Peterson Dept of Nuclear Engineering nuclear engineering, heat and mass transfer, reactor thermal hydraulics, nuclear reactor design, radioactive waste, nuclear materials management
James W. Rector Dept of Civil and Environmental Engineering geoarchaeology, geophysics, acoustics, Seismology, machine learning, energy, carbon capture and storage, oil and gas
Solène Delecourt Haas School of Business business performance, entrepreneurship, discrimination, field experiments, management
David M. Auslander Dept of Mechanical Engineering control systems, simulation, mechatronics, real time software, energy management, satellite attitude control, demand response, machine control
Vladimir Stojanovic Division of Electrical Engineering (EECS) integrated circuits, silicon photonics, high-speed links, mixed-signal circuits, VLSI, emerging device technologies
Jeffrey Neaton Dept of Physics condensed matter theory, Materials Physics, nanoscience, physical chemistry, Electronic Structure Theory, Transport, Hard-Soft Interfaces, Complex Oxides, renewable energy, energy conversion
Peter Bartlett Dept of Statistics Division of Computer Science (EECS) machine learning, statistical learning theory, adaptive control
Park Sinchaisri Haas School of Business operations management, operations research, machine learning, human-computer interaction, decision-making, behavioral science, behavioral economics, service operations, applied econometrics
Kurt Keutzer Division of Electrical Engineering (EECS) computationally efficient machine learning and deep learning, AI
Pieter Abbeel Division of Computer Science (EECS) robotics, machine learning, artificial intelligence, Deep Learning
Hector Rodriguez School of Public Health health care management, organizations, team science, patient-reported outcome measures, patient engagement, health disparities, implementation science, performance management
Van P. Carey
