Venkatesan Guruswami Dept of Mathematics Division of Computer Science (EECS) theoretical computer science, coding theory, approximate optimization, randomness in computation, computational complexity
Joshua Bloom Dept of Astronomy machine learning, gamma-ray bursts, supernovae, time-domain astronomy, data-driven discovery
James W. Rector Dept of Civil and Environmental Engineering geoarchaeology, geophysics, acoustics, Seismology, machine learning, energy, carbon capture and storage, oil and gas
Trevor Darrell Division of Computer Science (EECS) artificial intelligence, intelligent systems and robotics, computer vision
John F. Canny Division of Computer Science (EECS) computer science, activity-based computing, livenotes, mechatronic devices, flexonics
John D. Kubiatowicz Division of Computer Science (EECS) computer architecture, quantum computer design, internet-scale storage systems and peer-to-peer networking, operating systems & networking, computer security
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
Avishay Tal Division of Computer Science (EECS) theory(THY), complexity theory, analysis of Boolean functions, randomness in computation, quantum computation
Joseph M. Hellerstein Division of Computer Science (EECS) computer science, database systems, distributed systems
Grace Gu Dept of Mechanical Engineering Composites, additive manufacturing, in-situ monitoring and process control, artificial intelligence and machine learning, bioinspired materials
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
Bethany L. Goldblum Dept of Nuclear Engineering applied nuclear physics, neutron detection, scintillation physics, machine learning applications, nuclear weapon policy
Peter Bickel Dept of Statistics statistics, machine learning, semiparametric models, asymptotic theory, hidden Markov models, applications to molecular biology
Lexin Li School of Public Health neuroimaging data analysis, deep brain stimulation, brain-computer-interface, statistical machine learning, Deep Learning, reinforcement learning, networks data analysis, functional data analysis, tensor analysis, ordinary differential equations, dimension reduction, high dimensional inference
Ren Ng Division of Computer Science (EECS) imaging systems, computational photography, graphics, optics, computer vision, human vision, signal processing, artificial intelligence
David M. Auslander Dept of Mechanical Engineering control systems, simulation, mechatronics, real time software, energy management, satellite attitude control, demand response, machine control
Dorit Hochbaum Dept of Industrial Engineering & Operations Research data mining, integer programming, discrete optimization, network flow techniques, clustering, image segmentation, machine vision, pattern recognition
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
James Demmel Dept of Mathematics Division of Computer Science (EECS) computer science, scientific computing, numerical analysis, linear algebra
Sanjit Seshia Division of Computer Science (EECS) Division of Electrical Engineering (EECS) formal methods, computational logic, electronic design automation, computer security, dependable computing, Cyber-Physical Systems, programming languages
Frederic Theunissen Dept of Integrative Biology Dept of Neuroscience behavior, cognition, brain, psychology, birdsong, vocal learning, audition, neurophysiology, speech perception, computational neuroscience, theoretical neuroscience
Venkatesan Guruswami
