School of Engineering
Showing 531-540 of 689 Results
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J Kenneth Salisbury, Jr.
Professor (Research) of Computer Science and of Surgery (Anatomy), Emeritus
BioSalisbury worked on the development of the Stanford-JPL Robot Hand, the JPL Force Reflecting Hand Controller, the MIT-WAM arm, the PR-2 personal robot and the da Vinci Surgical Robot. His work with haptic interface technology led to the founding of SensAble Technology, producers of the PHANToM haptic interface and software. He also worked on developing telerobotic systems for dexterity enhancement in the operating room. His current research focuses on minimalist force controllable robots, human-machine interaction, cooperative haptics, medical robotics, and surgical simulation.
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Alberto Salleo
Hong Seh and Vivian W. M. Lim Professor, Professor of Photon Science, and Senior Fellow at the Precourt Institute for Energy
Current Research and Scholarly InterestsNovel materials and processing techniques for large-area and flexible electronic/photonic devices. Polymeric materials for electronics, bioelectronics, and biosensors. Electrochemical devices for neuromorphic computing. Defects and structure/property studies of polymeric semiconductors, nano-structured and amorphous materials in thin films. Advanced characterization techniques for soft matter.
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Julia Salzman
Associate Professor of Biomedical Data Science, of Biochemistry and, by courtesy, of Statistics and of Biology
On Leave from 09/01/2025 To 06/01/2026Current Research and Scholarly Interestsstatistical computational biology focusing on splicing, cancer and microbes
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Juan G. Santiago
Charles Lee Powell Foundation Professor
Current Research and Scholarly Interestshttp://microfluidics.stanford.edu/Projects/Projects.html
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Krishna Saraswat
Rickey/Nielsen Professor in the School of Engineering, Emeritus
Current Research and Scholarly InterestsNew and innovative materials, structures, and process technology of semiconductor devices, interconnects for nanoelectronics and solar cells.
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John Louis Sarrao
Director of the SLAC National Accelerator Laboratory, Professor of Photon Science, Senior Fellow at the Precourt Institute for Energy and Professor, by courtesy, of Materials Science and Engineering
BioJohn Sarrao became SLAC National Accelerator Laboratory’s sixth director in October 2023. The lab’s ~2,000 staff advance the frontiers of science by exploring how the universe works at the biggest, smallest, and fastest scales and invent powerful tools used by scientists around the globe. SLAC’s research helps solve real-world problems and advances the interests of the nation. SLAC is operated by Stanford University for the U.S. Department of Energy’s Office of Science. It is home to three Office of Science national user facilities: the Linac Coherent Light Source (LCLS), the world’s most powerful X-ray laser; the Stanford Synchrotron Radiation Lightsource (SSRL); and the Facility for Advanced Accelerator Experimental Tests, (FACET-II). SLAC hosts thousands of users each year and manages an annual budget of ~$700M. In addition to his role as lab director, John is a professor of photon science, and by courtesy, of materials science and engineering at Stanford University, a senior fellow at Stanford’s Precourt Institute, and dean of SLAC faculty.
John came to SLAC from Los Alamos National Laboratory (LANL) in New Mexico, where he served as the deputy director for science, technology, and engineering. In that role, he led multiple directorates, including chemistry, earth and life sciences, global security, physical sciences, and simulation and computation. He also stewarded technology transitions and served as LANL’s chief research officer in support of its national security mission. Before becoming deputy director, he served as associate director for theory, simulation, and computation and division leader for materials physics and applications at LANL.
John’s scientific research focus is superconductivity in materials. He studies the synthesis and characterization of correlated electron systems, especially actinide materials. He won the 2013 Department of Energy’s E.O. Lawrence Award and is a fellow of the American Association for the Advancement of Science, the American Physical Society, and LANL. John received his PhD and master’s degree in physics from the University of California, Los Angeles, and a bachelor’s degree in physics from Stanford University. -
Elizabeth Sattely
Associate Professor of Chemical Engineering
BioPlants have an extraordinary capacity to harvest atmospheric CO2 and sunlight for the production of energy-rich biopolymers, clinically used drugs, and other biologically active small molecules. The metabolic pathways that produce these compounds are key to developing sustainable biofuel feedstocks, protecting crops from pathogens, and discovering new natural-product based therapeutics for human disease. These applications motivate us to find new ways to elucidate and engineer plant metabolism. We use a multidisciplinary approach combining chemistry, enzymology, genetics, and metabolomics to tackle problems that include new methods for delignification of lignocellulosic biomass and the engineering of plant antibiotic biosynthesis.
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Michael Saunders
Professor (Research) of Management Science and Engineering, Emeritus
BioSaunders develops mathematical methods for solving large-scale constrained optimization problems and large systems of equations. He also implements such methods as general-purpose software to allow their use in many areas of engineering, science, and business. He is co-developer of the large-scale optimizers MINOS, SNOPT, SQOPT, PDCO, the dense QP and NLP solvers LSSOL, QPOPT, NPSOL, and the linear equation solvers SYMMLQ, MINRES, MINRES-QLP, LSQR, LSMR, LSLQ, LNLQ, LSRN, LUSOL.
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Ludwig Schmidt
Assistant Professor of Computer Science
BioLudwig Schmidt is an assistant professor at Stanford University in the Computer Science Department and Stanford Data Science. Ludwig’s research interests revolve around the empirical foundations of machine learning, often with a focus on datasets, reliable generalization, multimodality, and language models. Recently, Ludwig’s research group contributed to open source machine learning by creating OpenCLIP, DCLM, and the LAION-5B dataset. Ludwig completed his PhD at MIT and was a postdoc at UC Berkeley. Ludwig’s research received a new horizons award at EAAMO, best paper awards at ICML & NeurIPS, a best paper finalist at CVPR, and the Sprowls dissertation award from MIT.
