School of Engineering
Showing 1-100 of 493 Results
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Nadim Saad
Ph.D. Student in Computational and Mathematical Engineering, admitted Spring 2020
BioHi ! My name is Nadim Saad and I'm a second year PhD student in Computational and Mathematical Engineering advised by Professor Margot Gerritsen. My interests lie broadly in Numerical PDEs and Optimization. I'm currently working on PDE based traffic flow models.
I'm originally from Lebanon and speak English, French and Arabic. In my free time, I enjoy running and singing ! -
Amin Saberi
Professor of Management Science and Engineering
BioAmin Saberi is an Associate Professor and 3COM faculty scholar in 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, approximation algorithms, and algorithmic aspects of games, markets, and networks. Amin Saberi's research is supported by National Science Foundation (under grants CCF 0546889, 0729586, and 0915145), Library of Congress, Stanford Clean Slate Design for the Internet, and Google. His most recent awards include an Alfred Sloan Fellowship and best paper awards in FOCS 2011 and SODA 2010.
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Mehran Sahami
Professor (Teaching) of Computer Science
BioMehran Sahami is a Professor and Associate Chair for Education in the Computer Science department at Stanford University. He is also the Robert and Ruth Halperin University Fellow in Undergraduate Education. Prior to joining the Stanford faculty, he was a Senior Research Scientist at Google. His research interests include computer science education, artificial intelligence, and web search. He is co-chair of the ACM/IEEE-CS joint task force on Computer Science Curricula 2013, which is responsible for creating curricular guidelines for college programs in Computer Science at an international level.
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Amr Ahmed Essawi Saleh
Postdoctoral Research Fellow, Materials Science and Engineering
BioDr. Amr Saleh is a postdoctoral scholar in the Materials Science and Engineering Department at Stanford University and research director of the Microbial Culture Shift Project - a multidisciplinary project that aims to develop a new platform for rapid point-of-care bacterial infection diagnostics. Dr. Saleh obtained his PhD in electrical engineering from Stanford University where he designed plasmonic tweezers capable of trapping sub-10nm dielectric particles and developed a novel characterization technique to directly probe the near-field optical forces from those tweezers using atomic force microscopy (AFM). Prior to Stanford, he earned his bachelor’s degree in electronics engineering and master’s degree in engineering physics from Cairo University, Egypt. Dr. Saleh’s research interests center on light-matter interactions at the nanoscale, particularly to develop novel solutions for biological imaging and healthcare applications. He holds several approved and pending patents on plasmonic optical tweezers, bacterial diagnostics, and combined Raman and electron microscopy. He also holds a certificate in Innovation and Entrepreneurship from Stanford Graduate School of Business. His innovation in healthcare applications was recognized through the US Falling Walls labs innovation award.
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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, 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
Professor of Materials Science and Engineering
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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Juan Santiago
Professor of Mechanical Engineering
Current Research and Scholarly Interestshttp://microfluidics.stanford.edu/Projects/Projects.html
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Andreas Santucci
Lecturer
Current Research and Scholarly InterestsI am interested in the intersection of Causal Inference and Machine Learning.
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Krishna Saraswat
Rickey/Nielsen Professor in the School of Engineering and Professor, by courtesy, of Materials Science and Engineering
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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Rahul Sarkar
Ph.D. Student in Computational and Mathematical Engineering, admitted Autumn 2017
Current Research and Scholarly InterestsInverse problems, machine learning for seismic imaging, quantum computing
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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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Silvio Savarese
Associate Professor of Computer Science
BioSilvio Savarese is an Associate Professor of Computer Science at Stanford University and the inaugural Mindtree Faculty Scholar. He earned his Ph.D. in Electrical Engineering from the California Institute of Technology in 2005 and was a Beckman Institute Fellow at the University of Illinois at Urbana-Champaign from 2005–2008. He joined Stanford in 2013 after being Assistant and then Associate Professor of Electrical and Computer Engineering at the University of Michigan, Ann Arbor, from 2008 to 2013. His research interests include computer vision, robotic perception and machine learning. He is recipient of several awards including a Best Student Paper Award at CVPR 2016, the James R. Croes Medal in 2013, a TRW Automotive Endowed Research Award in 2012, an NSF Career Award in 2011 and Google Research Award in 2010. In 2002 he was awarded the Walker von Brimer Award for outstanding research initiative.
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Tim Schnabel
Ph.D. Student in Bioengineering, admitted Autumn 2015
Current Research and Scholarly InterestsEngineering plant microbe interactions for improved crop properties. Focus on drought tolerance and nitrogen fixation.
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Joel Schneider
Ph.D. Student in Chemical Engineering, admitted Autumn 2015
BioJoel is interested in nanotechnology research and the chemical tools and understanding we can use to leverage it, as well as education and the role of active learning engagement strategies. His research in the Bent group is focused on understanding and controlling surface chemistry in atomic layer deposition (ALD) processes and applying this knowledge to understand chemical problems in nano-electronics. Much of his research focuses on developing an atomic understanding of these systems using of a variety of sensitive reaction monitoring equipment.
