Jiyun Kang Dept of Materials Science and Engineering physical metallurgy, manufacturing, autonomous metal processing, correlative microscopy
Simo Mäkiharju Dept of Mechanical Engineering experimental fluid dynamics, fluid dynamics, Cavitation, multiphase flow, drag reduction, ocean renewable energy, particle image velocimetry, Time-Resolved X-Ray Densitometry, Droplet and particle transport
Anthony D. Joseph Division of Computer Science (EECS) internet security, mobile/distributed computing, wireless communications, networking and telephony
Amy Pickering Dept of Civil and Environmental Engineering disease transmission, water, public health surveillance, zoonotic infectious disease, community-acquired antimicrobial resistance
Thomas M. Devine Dept of Materials Science and Engineering corrosion resistance of materials, additive manufacturing of metals
Kannan Ramchandran Division of Computer Science (EECS) Division of Electrical Engineering (EECS) statistical and sparse signal processing, adversarial and distributed machine learning, coded computing, privacy and security, scalable distributed video-on-demand delivery, coding theory, communications, information theory, peer-to-peer networking, blockchains
Stuart J. Russell Division of Computer Science (EECS) artificial intelligence, computational biology, algorithms, machine learning, real-time decision-making, probabilistic reasoning
Ramamoorthy Ramesh Dept of Materials Science and Engineering Dept of Physics Atomic-scale synthesis of complex oxide heterostructures, 2D materials, spin-charge coupling, polar and magnetic topologies, electron microscopy, piezoforce microscopy, NV magnetometry, materials processing for devices, energy efficient electronics(12634)
Gerbrand Ceder Dept of Materials Science and Engineering energy storage, computational modeling, machine learning, autonomous laboratories
Xiaoyu (Rayne) Zheng Dept of Materials Science and Engineering additive manufacturing, metamaterials, robotics, antenna, artificial intelligence
Jan M. Rabaey Division of Electrical Engineering (EECS) sensor networks, integrated circuits, integrated wireless systems, low-power system design, biomedical interfaces
Junqiao Wu Dept of Materials Science and Engineering semiconductors, nanotechnology, energy materials, condensed matter physics and materials science
Oscar Dubon Dept of Materials Science and Engineering magnetic, optical materials, processing, properties in electronic
Alexandre Bayen Division of Electrical Engineering (EECS) control, optimization, machine learning, applications: transportation; mobile sensing; connected health
Evan Variano Dept of Civil and Environmental Engineering fluid mechanics, turbulence, wetlands, imaging, plankton, sediment transport
Neil Razdan Dept of Chemical & Biomolecular Engineering catalysis, electrochemistry, chemical kinetics
Daniel Fletcher Dept of Bioengineering bioengineering, optical and force microscopy, microfabrication, biophysics, mechanical properties of cells
Ahmad Omar Dept of Materials Science and Engineering statistical mechanics, active matter, biophysics, physical chemistry, polymer science, directed self-assembly
Joseph M. Hellerstein Division of Computer Science (EECS) computer science, database systems, distributed systems
Jere Lipps Dept of Integrative Biology ecology, paleontology, molecular phylogenetics, evolution of marine biotas, paleoenvironments, coral reef, Antarctic habitats, seismic histories, astrobiology, Charles Darwin
Teresa Head-Gordon Dept of Bioengineering Dept of Chemical & Biomolecular Engineering Dept of Chemistry Computational chemistry, machine learning, chemical physics, biophysics, biomolecules, materials, catalysis, computational science
Michel Maharbiz Division of Electrical Engineering (EECS) neural interfaces, bioMEMS, microsystems, MEMS, microsystems for the life sciences
Phillip Messersmith Dept of Bioengineering Dept of Materials Science and Engineering adhesion, polymers, regenerative medicine, sustainable polymers, biomimetics, medical devices
Alper Atamturk Dept of Industrial Engineering & Operations Research sparse learning, integer programming, computational optimization, robust optimization, logistics
Jiyun Kang
