Stanford University
Showing 501-510 of 692 Results
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Priyanka Raina
Associate Professor of Electrical Engineering and, by courtesy, of Computer Science
Current Research and Scholarly InterestsFor Priyanka's research please visit her group research page at https://stanfordaccelerate.github.io
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Ram Rajagopal
Associate Professor of Civil and Environmental Engineering, of Electrical Engineering and Senior Fellow at the Precourt Institute for Energy
BioRam Rajagopal is an Associate Professor of Civil and Environmental Engineering at Stanford University, where he directs the Stanford Sustainable Systems Lab (S3L), focused on large-scale monitoring, data analytics and stochastic control for infrastructure networks, in particular, power networks. His current research interests in power systems are in the integration of renewables, smart distribution systems, and demand-side data analytics.
He holds a Ph.D. in Electrical Engineering and Computer Sciences and an M.A. in Statistics, both from the University of California Berkeley, Masters in Electrical and Computer Engineering from University of Texas, Austin and Bachelors in Electrical Engineering from the Federal University of Rio de Janeiro. He is a recipient of the NSF CAREER Award, Powell Foundation Fellowship, Berkeley Regents Fellowship and the Makhoul Conjecture Challenge award. He holds more than 30 patents and several best paper awards from his work and has advised or founded various companies in the fields of sensor networks, power systems, and data analytics. -
Christopher Re
Professor of Computer Science
Current Research and Scholarly InterestsAlgorithms, systems, and theory for the next generation of data processing and data analytics systems.
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Kate Reidy
Assistant Professor, Materials Science and Engineering
BioKate Reidy will begin as an Assistant Professor of Materials Science and Engineering at Stanford in September 2026. Her research takes a ‘bottom up' approach to nanoscale design, tailoring material properties by understanding and manipulating their atomic structure. She combines advanced characterization with in situ microscopy to elucidate growth mechanisms, chemical composition, and response to stimuli at the atomic scale.
Her research group aims to push the limits of nanoscale engineering by observing and controlling atomic-scale kinetic and thermodynamic phenomena such as adsorption, diffusion, nucleation, defect and interface formation - mapping such structural dynamics to quantum, energy, and opto-electronic properties. She is broadly interested in the functional utilization of quantum properties of nanomaterials in our classical world.
Prior to joining Stanford, Kate was a Miller Postdoctoral Fellow at UC Berkeley and Lawrence Berkeley National Lab. She completed her PhD in Materials Science & Engineering at MIT as a MIT Energy initiative and William Asbjornsen Albert Memorial Fellow, entitled 'Atomic-Scale Design at the 2D/3D Interface using Electron Microscopy'. She received her B.Sc in Nanoscience, Physics, and Chemistry of Advanced Materials from Trinity College Dublin, Ireland. Her work has been recognized by the MIT School of Engineering, Microscopy Society of America, Materials Research Society Gold Award, 'Best Doctoral Thesis' Award at MIT DMSE. -
Martin Reinhard
Professor (Research) of Civil and Environmental Engineering, Emeritus
BioReinhard studies the fate of organic substances in the subsurface environment and develops technologies for the remediation of groundwater contaminated with chlorinated and non-chlorinated hydrocarbon compounds. His research is concerned with mechanistic aspects of chemical and biological transformation reactions in soils, natural waters, and treatment systems.
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Ellen Youngsoo Rim
Assistant Professor of Chemical Engineering
BioPlants are increasingly vulnerable to environmental stressors—such as pathogen infection, drought, and heat—from climate change. These challenges threaten global food security and limit the carbon sequestration potential of plants. Our research goal is to sustainably enhance plant productivity and resilience through protein engineering. We engineer proteins involved in plant immune and hormone signaling pathways using directed evolution in high-throughput single cell systems. Directed evolution is a synthetic biology approach that enables rapid development of proteins with novel or improved functions. We combine this approach with machine learning, which allows us to learn from large datasets generated during the directed evolution process. Engineered proteins are then introduced into plants to enhance crop yields and climate resilience.
