School of Engineering
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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.
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.
Current Research and Scholarly InterestsI am interested in the intersection of Causal Inference and Machine Learning.
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.
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.
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.