Find UC Berkeley Faculty

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Department

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sensing

Michael (Miki) Lustig

Division of Computer Science (EECS)

Division of Electrical Engineering (EECS)

medical imaging, MRI, compressed sensing

Roya Maboudian

Dept of Chemical & Biomolecular Engineering

surface and interfacial science and engineering, nanotechnology, harsh-environment sensors, silicon carbide, green construction, biologically-inspired materials synthesis

Michael Marletta

Michael A. Marletta

Dept of Chemistry

Dept of Molecular & Cell Biology

chemical biology, molecular biology, structure/function relationships in proteins, catalytic and biological properties of enzymes, cellular signaling, nitric oxide synthase, soluble guanylate cyclase, gas sensing, cellulose degradation, polysaccharide monooxygenases

Gerard Marriott

Dept of Bioengineering

Sensors and biosensors, drug delivery systems, optical spectroscopy and microscopy, high-contrast imaging, biomaterials

Richard A. Mathies

Richard A. Mathies

Dept of Chemistry

genomics, biophysical, bioanalytical, physical chemistry; laser spectroscopy, resonance Raman, excited-state reaction dynamics photoactive proteins, rhodopsins, microfabricated chemical biochemical analysis devices, forensics, infectious disease detection

Sabeeha Merchant

Sabeeha Merchant

Dept of Molecular & Cell Biology

Dept of Plant and Microbial Biology

Meg Mills-Novoa's photo

Megan Mills-Novoa

Dept of Environmental Science, Policy & Management

climate change adaption, energy transitions, political ecology of global change, critical development studies, water justice, participatory mixed methods, Latin America

Joel Moore

Joel Moore

Dept of Physics

physics, condensed matter theory, electron-electron interactions, zero-temperature phase transitions, interaction effects in nanoscale devices, quantum phase transitions

The Hydra mm-Wave (140 GHz) Testbed

Division of Electrical Engineering (EECS)

analog integrated circuits, RF microwave circuits, biomedical CMOS sensors, communication systems, scientific computing, applied electromagnetics, mm-waves, THz, radar, mm-wave and microwave imaging

Dept of Environmental Science, Policy & Management

Dept of Geography

global change ecology, biogeography, spectral ecology, remote sensing, climate change impacts on biodiversity and ecological functioning

Kris Pister

Kristofer Pister

Division of Computer Science (EECS)

Division of Electrical Engineering (EECS)

micro robotics, synthetic insects, smart dust

Yoram Rubin

Dept of Civil and Environmental Engineering

risk assessment, hydrogeology, contaminant transport, geostatistics

Anant Sahai

Division of Computer Science (EECS)

Division of Electrical Engineering (EECS)

machine learning, artificial intelligence, information theory, communications theory, wireless communication, cognitive radio, distributed control, spectrum sensing, spectrum sharing, spectrum policy, power consumption in communications systems

Dept of Civil and Environmental Engineering

transportation, wireless communications, inertial navigation for vehicle systems

Professor Silver sampling soils

Dept of Environmental Science, Policy & Management

climate change, global change, greenhouse gases, ecosystem ecology, biogeochemistry, grasslands, tropical forests, carbon sequestration, environmental sensing

Dept of Physics

Division of Electrical Engineering (EECS)

solid-state devices and technology, quantum technologies

Dept of Civil and Environmental Engineering

infrastructure sensing, infrastructure modeling, performance-based design, underground structures, energy geotechnics, geomechanics

Hendrik Utzat

Dept of Chemistry

single-molecule spectroscopy, quantum optics, colloidal semiconductor nanostructures, optoelectronics, bio-nanophotonics, materials chemistry

Ming Wu

Ming Wu

Division of Electrical Engineering (EECS)

silicon photonics, MEMS, photonic integrated circuits, data center networks, 3D sensing, solid state LiDAR, optofluidics

Avideh Zahkor

Division of Electrical Engineering (EECS)

signal processing, image processing, computer vision, Deep Learning