School of Engineering
Showing 1-20 of 37 Results
-
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.
-
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.
-
Andreas Santucci
Lecturer
Current Research and Scholarly InterestsI am interested in the intersection of Causal Inference and Machine Learning.
-
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.
-
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
-
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.
-
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. From 2016 to 2018, he served as a director of the SAIL-Toyota Center for AI Research at Stanford. He co-founded a stealth start up in 2017 where he served as a Chief Scientist from 2018 to 2020.
Dr Savarese addresses theoretical foundations and practical applications of computational vision and robotic perception. His research focuses on developing algorithms for enabling autonomous and embodied systems to understand and interact with the environment. Contributions include: i) investigation of methods for interpreting complex situations and behaviors from sensory streams; ii) development of computational models for capturing social norms and common sense rules allowing agents to effectively predict and respond to the environment; iii) exploration of machine vision methodologies for enabling automatic performance analysis and sustainability assessment in construction engineering.
Dr Savarese has published more than 200 scientific articles in top-tier journals and conferences, including IJCV, IEEE-PAMI, CVPR, ICCV, NIPS, ECCV, ICRA, IROS, and RSS. He was program chair of the Conference on Computer Vision and Pattern Recognition (CVPR) in 2020, general chair of the 4th International Conference on 3D Vision (3DV) in 2016, area chair of CVPR 2010, ICCV 2011, CVPR 2013, ECCV 2014, CVPR 2015, ICCV 2015, ECCV 2016, ICCV 2017, and an Associate editor of IEEE Transactions on Pattern Analysis and Machine Intelligence (PAMI), from 2016-2019.
Dr. Savarese has been recipient of several awards including a Best Paper Award at the IEEE International Conference on Robotics and Automation (ICRA) in 2019, a Best Paper Award at the Conference on Computer Vision and Pattern Recognition (CVPR) in 2018, 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 2020 and 2010. In 2002 he was awarded the Walker von Brimer Award for outstanding research initiative. He has been a keynote speaker at various academic conferences and his work has been featured in a variety of media outlets, magazines and domestic and international newspapers including The New York Times, CBS, PBS, Financial Times, Quartz, ABC, BBC, Corriere Della Sera and La Repubblica. -
Debbie Senesky
Associate Professor of Aeronautics and Astronautics and, by courtesy, of Electrical Engineering
BioDebbie G. Senesky is an Associate Professor at Stanford University in the Aeronautics and Astronautics Department and by courtesy, the Electrical Engineering Department. In addition, she is the Principal Investigator of the EXtreme Environment Microsystems Laboratory (XLab). Her research interests include the development of nanomaterials for extreme harsh environments, high-temperature electronics, and robust instrumentation for Venus exploration. In the past, she has held positions at GE Sensing (formerly known as NovaSensor), GE Global Research Center, and Hewlett Packard. She received the B.S. degree (2001) in mechanical engineering from the University of Southern California. She received the M.S. degree (2004) and Ph.D. degree (2007) in mechanical engineering from the University of California, Berkeley. Prof. Senesky recently chaired the 2018 Women in Aerospace Symposium (WIA2018) at Stanford University. She has served on the technical program committee of the IEEE International Electron Devices Meeting (IEEE IEDM), International Conference on Solid-State Sensors, Actuators, and Microsystems (Transducers), and International Symposium on Sensor Science (I3S). She is currently the co-editor of three technical journals: IEEE Electron Device Letters, Sensors, and Micromachines. In addition, she currently serves on the board of directors of the non-profit organization Scientific Adventures for Girls. In recognition of her research, she received the Emerging Leader Abie Award from AnitaB.org in 2018, Early Faculty Career Award from the National Aeronautics and Space Administration (NASA) in 2012, Gabilan Faculty Fellowship Award in 2012, and Sloan Ph.D. Fellowship from the Alfred P. Sloan Foundation in 2004.
Prof. Senesky's career path and research has been featured on the People Behind the Science podcast, the Future of Everything radio show, Space.com, and NPR's Tell Me More program. More information about Prof. Senesky can be found at https://xlab.stanford.edu and on Instagram (@astrodebs). -
Eric S.G. Shaqfeh
Lester Levi Carter Professor of Chemical Engineering and Professor of Mechanical Engineering
Current Research and Scholarly InterestsI have over 25 years experience in theoretical and computational research related to complex fluids following my PhD in 1986. This includes work in suspension mechanics of rigid partlcles (rods), solution mechanics of polymers and most recently suspensions of vesicles, capsules and mixtures of these with rigid particles. My research group is internationally known for pioneering work in all these areas.
-
Hao Sheng
Ph.D. Student in Computational and Mathematical Engineering, admitted Autumn 2017
BioI'm currently a 3rd year PhD student in computational mathematics (ICME). My interest and ambition is to apply cutting edge machine learning/deep learning/artificial intelligence theories to business, finance and even social science. I was advised by Prof. Andrew Y. Ng.
Before entering Stanford, I got my B.Econ in Politics, Philosophy and Economics(PPE) and B.S. in math from Peking University.
