Homayoon Kazerooni Dept of Mechanical Engineering robotics, bioengineering, design, control systems, mechatronics, human-machine systems, exoskeleton systems
Edward C. Morse Dept of Nuclear Engineering applied plasma physics: fusion technology: microwaves, experimental investigation of RF plasma heating, experimental studies of compact toroids spectral method for magnetohydrodynamic stability
Eric B. Norman Dept of Nuclear Engineering nuclear astrophysics, experimental nuclear physics, homeland security, neutrinos
Hannah Stuart Dept of Mechanical Engineering robotics, dynamics, design-based research, exoskeleton systems, bioinspired robots, marine systems, dexterous manipulation, hands, grasping, Mechanism Design, human-robot interaction
Kai Vetter Dept of Nuclear Engineering nuclear physics, radiation detection, nuclear instrumentation, nuclear measurements, multi-sensor systems and data fusion, radiological resilience
Karl van Bibber Dept of Nuclear Engineering Particle Astrophysics, experimental nuclear physics, Accelerator Technology and Neutron Sources
Javad Lavaei Dept of Industrial Engineering & Operations Research control theory, optimization, power systems
Candace Yano Dept of Industrial Engineering & Operations Research Haas School of Business supply chain management, service systems management, production-quality interface issues, marketing-production interface issues
Ting Xu Dept of Chemistry Dept of Materials Science and Engineering polymer, nanocomposite, biomaterial, membrane, directed self-assembly, drug delivery, protein therapeutics, block copolymers, nanoparticles
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
Jiantao Jiao Division of Computer Science (EECS) Division of Electrical Engineering (EECS) artificial intelligence, control and intelligent systems and robotics, communications and networking
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
Jie Yao Dept of Materials Science and Engineering optical materials, nanophotonics, optoelectronics, magnetic materials, ferroelectrics
Scott Moura Dept of Civil and Environmental Engineering control systems, optimization, data science, batteries, electric vehicles, energy systems
Laura Waller Division of Electrical Engineering (EECS) computational optical imaging, light field cameras, metrology and inspection, phase retrieval, inverse problems in imaging, optical coherence theory, 3D imaging and display
Zakaria Al Balushi Dept of Materials Science and Engineering electronics, magnetic and optical materials, quantum materials synthesis, optoelectronics
Karthik Shekhar Dept of Chemical & Biomolecular Engineering cellular and systems biology, statistical inference, single-cell genomics
Eli Yablonovitch Division of Electrical Engineering (EECS) optoelectronics, physical electronics, high speed optical communications, nanocavity lasers, photonic crystals at optical and microwave frequencies, quantum computing and communication
Ming Wu Division of Electrical Engineering (EECS) silicon photonics, MEMS, photonic integrated circuits, data center networks, 3D sensing, solid state LiDAR, optofluidics
Murat Arcak Division of Electrical Engineering (EECS) control, intelligent systems and robotics, Cyber-Physical Systems, networks, transportation, applications of system theory to aerospace problems, Systems and Synthetic Biology
J. W. Evans Dept of Materials Science and Engineering production of materials, particularly fluid flow, reaction kinetics, mass transport, electrochemical, electromagnetic phenomena governing processes for producing materials, metals, storing energy
John W. Morris, Jr Dept of Materials Science and Engineering structural materials, computational materials, the limits of strength, deformation mechanisms, non-destructive testing with SQUID microscopy, mechanisms of grain refinement in high strength steels, lead-free solders for microelectronics
Kurt Keutzer Division of Electrical Engineering (EECS) computationally efficient machine learning and deep learning, AI