School of Engineering
Showing 541-560 of 714 Results
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Bernard Roth
Professor of Mechanical Engineering, Emeritus
BioRoth is one of the founders of the Hasso Plattner Institute of Design at Stanford (the d.school) and is active in its development: currently, he serves as Academic Director. His design interests include organizing and presenting workshops on creativity, group interactions, and the problem solving process. Formerly he researched the kinematics, dynamics, control, and design of computer controlled mechanical devices. In kinematics, he studied the mathematical theory of rigid body motions and its application to the design of machines.
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Grant M. Rotskoff
Assistant Professor of Chemistry
BioGrant Rotskoff studies the nonequilibrium dynamics of living matter with a particular focus on self-organization from the molecular to the cellular scale. His work involves developing theoretical and computational tools that can probe and predict the properties of physical systems driven away from equilibrium. Recently, he has focused on characterizing and designing physically accurate machine learning techniques for biophysical modeling. Prior to his current position, Grant was a James S. McDonnell Fellow working at the Courant Institute of Mathematical Sciences at New York University. He completed his Ph.D. at the University of California, Berkeley in the Biophysics graduate group supported by an NSF Graduate Research Fellowship. His thesis, which was advised by Phillip Geissler and Gavin Crooks, developed theoretical tools for understanding nonequilibrium control of the small, fluctuating systems, such as those encountered in molecular biophysics. He also worked on coarsegrained models of the hydrophobic effect and self-assembly. Grant received an S.B. in Mathematics from the University of Chicago, where he became interested in biophysics as an undergraduate while working on free energy methods for large-scale molecular dynamics simulations.
Research Summary
My research focuses on theoretical and computational approaches to "mesoscale" biophysics. Many of the cellular phenomena that we consider the hallmarks of living systems occur at the scale of hundreds or thousands of proteins. Processes like the self-assembly of organelle-sized structures, the dynamics of cell division, and the transduction of signals from the environment to the machinery of the cell are not macroscopic phenomena—they are the result of a fluctuating, nonequilibrium dynamics. Experimentally probing mesoscale systems remains extremely difficult, though it is continuing to benefit from advances in cryo-electron microscopy and super-resolution imaging, among many other techniques. Predictive and explanatory models that resolve the essential physics at these intermediate scales have the power to both aid and enrich the understanding we are presently deriving from these experimental developments.
Major parts of my research include:
1. Dynamics of mesoscale biophysical assembly and response.— Biophysical processes involve chemical gradients and time-dependent external signals. These inherently nonequilibrium stimuli drive supermolecular organization within the cell. We develop models of active assembly processes and protein-membrane interactions as a foundation for the broad goal of characterizing the properties of nonequilibrium biomaterials.
2. Machine learning and dimensionality reduction for physical models.— Machine learning techniques are rapidly becoming a central statistical tool in all domains of scientific research. We apply machine learning techniques to sampling problems that arise in computational chemistry and develop approaches for systematically coarse-graining physical models. Recently, we have also been exploring reinforcement learning in the context of nonequilibrium control problems.
3. Methods for nonequilibrium simulation, optimization, and control.— We lack well-established theoretical frameworks for describing nonequilibrium states, even seemingly simple situations in which there are chemical or thermal gradients. Additionally, there are limited tools for predicting the response of nonequilibrium systems to external perturbations, even when the perturbations are small. Both of these problems pose key technical challenges for a theory of active biomaterials. We work on optimal control, nonequilibrium statistical mechanics, and simulation methodology, with a particular interest in developing techniques for importance sampling configurations from nonequilibrium ensembles. -
Amin Saberi
Professor of Management Science and Engineering and, by courtesy, of Computer Science
BioAmin Saberi is Professor of Management Science and Engineering at Stanford University. He received his B.Sc. from Sharif University of Technology and his Ph.D. from Georgia Institute of Technology in Computer Science. His research interests include algorithms, design and analysis of social networks, and applications. He is a recipient of the Terman Fellowship, Alfred Sloan Fellowship and several best paper awards.
Amin was the founding CEO and chairman of NovoEd Inc., a social learning environment designed in his research lab and used by universities such as Stanford as well as non-profit and for-profit institutions for offering courses to hundreds of thousands of learners around the world. -
Mehran Sahami
Tencent Chair of the of the Computer Science Department, James and Ellenor Chesebrough Professor and Senior Fellow, by courtesy, at the Freeman Spogli Institute for International Studies
BioMehran Sahami is Tencent Chair of the Computer Science Department and the James and Ellenor Chesebrough Professor in the School of Engineering. As a Professor (Teaching) in the Computer Science department, he is also a Bass Fellow in Undergraduate Education and previously served as the Associate Chair for Education in Computer Science. Prior to joining the Stanford faculty, he was a Senior Research Scientist at Google. His research interests include computer science education, artificial intelligence, and ethics. He served as co-chair of the ACM/IEEE-CS joint task force on Computer Science Curricula 2013, which created curricular guidelines for college programs in Computer Science at an international level. He has also served as chair of the ACM Education Board, an elected member of the ACM Council, and was appointed by California Governor Jerry Brown to the state's Computer Science Strategic Implementation Plan Advisory Panel.
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Maria Sakovsky
Assistant Professor of Aeronautics and Astronautics
BioMaria Sakovsky's work focuses on the use of shape adaptation to realize space structures with reconfigurable geometry, stiffness, and even non-mechanical performance (ex. electromagnetic, optical). Particular focus is placed on the mechanics of thin fiber reinforced composite structures, the interplay between composite material properties and structural geometry, as well as embedded functionality and actuation of lightweight structures. The work has led to applications in deployable space structures, reconfigurable antennas, and soft robotics.
Maria Sakovsky received her BSc in Aerospace Engineering from the University of Toronto. Following this, she completed her MSc and PhD in Space Engineering at Caltech, where she developed a deployable satellite antenna based on origami concepts utilizing elastomer composites. She concurrently worked with NASA’s Jet Propulsion Laboratory on developing cryogenically rated thin-ply composite antennas for deep space missions. For her ongoing research on physically reconfigurable antennas, she was awarded the ETH Zürich postdoctoral fellowship as well as the Innovation Starting Grant. -
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, and the Black Falcon 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 the development of telerobotic systems for dexterity enhancement in the operating room. His current research focuses on human-machine interaction, cooperative haptics, medical robotics, and surgical simulation.
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Alberto Salleo
Hong Seh and Vivian W. M. Lim Professor
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
Current 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.
