Institute for Computational and Mathematical Engineering (ICME)
Showing 151-200 of 202 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 third year PhD candidate in Computational and Mathematical Engineering advised by Professor Margot Gerritsen. My interests lie broadly in Numerical PDEs. I'm currently working on PDE based traffic flow models.
I'm originally from Lebanon and speak English, French and Arabic fluently and proficient in Spanish. 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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Andreas Santucci
Lecturer
Current Research and Scholarly InterestsI am interested in the intersection of Causal Inference and Machine Learning.
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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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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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Eric S.G. Shaqfeh
Lester Levi Carter Professor 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.
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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. -
Aaron Sidford
Assistant Professor of Management Science and Engineering and of Computer Science
Current Research and Scholarly InterestsMy research interests lie broadly in the optimization, the theory of computation, and the design and analysis of algorithms. I am particularly interested in work at the intersection of continuous optimization, graph theory, numerical linear algebra, and data structures.
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Andrew Spakowitz
Professor of Chemical Engineering and of Materials Science and Engineering
Current Research and Scholarly InterestsTheory and computation of biological processes and complex materials
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Jenny Suckale
Assistant Professor of Geophysics and, by courtesy, of Civil and Environmental Engineering and Center Fellow, by courtesy, at the Woods Institute for the Environment
BioMy research focuses on understanding disaster risk and resilience. I approach this challenge both from a fundamental point of view by advancing our understanding of the processes that govern extreme events in different natural systems and from an applied point of view by working with private and public partners to increase community resilience using a scientific co-production approach. My research group specializes in the development of customized mathematical models that are testable against observational data from a broad spectrum of scales. Our current research priorities span natural hazards like volcanic eruptions, climate hazards such as ice-sheet instability and permafrost disintegration, and hazards that arise from the interaction between natural processes and human interventions such as flooding in urban areas and induced earthquakes. I was recently awarded the Presidential Early Career Awards for Scientists and Engineers, the highest honor bestowed by the United States Government on science and engineering professionals in the early stages of their independent research careers.
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Nurbek Tazhimbetov
Ph.D. Student in Computational and Mathematical Engineering, admitted Autumn 2016
Masters Student in Computational and Mathematical Engineering, admitted Summer 2021BioI am a third year PhD student at the Institute for Computational and Mathematical Engineering (ICME), interested in numerical linear solvers for PDEs. Prior joining to Stanford, I have studied at Nazarbayev University in Astana, Kazakhstan. I was born and raised in Kazakhstan.
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Hamdi Tchelepi
Professor of Energy Resources Engineering
Current Research and Scholarly InterestsCurrent research activities include: (1) modeling unstable miscible and immiscible flows in heterogeneous formations, (2) developing multiscale formulations and scalable linear/nonlinear solution algorithms for multiphase flow in large-scale subsurface systems, and (3) developing stochastic approaches for quantifying the uncertainty associated with predictions of subsurface flow performance.
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Johan Ugander
Assistant Professor of Management Science and Engineering
BioUgander's research develops algorithmic and statistical frameworks for analyzing social networks, social systems, and other large-scale data-rich contexts. He is particularly interested in the challenges of causal inference and experimentation in these complex domains. His work commonly falls at the intersections of graph theory, statistics, optimization, and algorithm design.
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Benjamin Van Roy
Professor of Electrical Engineering, of Management Science and Engineering
BioBenjamin Van Roy is a Professor at Stanford University, where he has served on the faculty since 1998. His research focuses on understanding how an agent interacting with a poorly understood environment can learn over time to make effective decisions. He is interested in the design of efficient reinforcement learning algorithms, understanding what is possible or impossible in this domain, and applying the technology toward the benefit of society. Beyond academia, he leads a DeepMind Research team in Mountain View, and has also led research programs at Unica (acquired by IBM), Enuvis (acquired by SiRF), and Morgan Stanley.
He is a Fellow of INFORMS and IEEE and has served on the editorial boards of Machine Learning, Mathematics of Operations Research, for which he co-edits the Learning Theory Area, Operations Research, for which he edited the Financial Engineering Area, and the INFORMS Journal on Optimization.
He received the SB in Computer Science and Engineering and the SM and PhD in Electrical Engineering and Computer Science, all from MIT. He has been a recipient of the MIT George C. Newton Undergraduate Laboratory Project Award, the MIT Morris J. Levin Memorial Master's Thesis Award, the MIT George M. Sprowls Doctoral Dissertation Award, the National Science Foundation CAREER Award, the Stanford Tau Beta Pi Award for Excellence in Undergraduate Teaching, and the Management Science and Engineering Department's Graduate Teaching Award. He has held visiting positions as the Wolfgang and Helga Gaul Visiting Professor at the University of Karlsruhe, the Chin Sophonpanich Foundation Professor and the InTouch Professor at Chulalongkorn University, a Visiting Professor at the National University of Singapore, and a Visiting Professor at the Chinese University of Hong Kong, Shenzhen. -
Varun Vasudevan
Ph.D. Student in Computational and Mathematical Engineering, admitted Autumn 2016
Current Research and Scholarly InterestsMy research focus is in deep learning for medical image analysis.
During Masters, my research was in best rank-1 approximations in the 1-norm. -
Andras Vasy
Robert Grimmett Professor of Mathematics
Current Research and Scholarly InterestsMy research concentrates on topics in two broad areas of applications of microlocal analysis in which, partly with collaborators, I introduced new ideas in recent years: non-elliptic linear and non-linear partial differential equations (PDE), typically concerning wave propagation or other related phenomena, and inverse problems for X-ray type transforms along geodesics and related problems for determining the metric tensor from boundary measurements.
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Zhenzhen Weng
Ph.D. Student in Computational and Mathematical Engineering, admitted Autumn 2020
Masters Student in Computational and Mathematical Engineering, admitted Autumn 2018BioJen Weng is a PhD student in Computational and Mathematical Engineering with experience in designing and developing deep learning and computer vision algorithms. She previously worked at VMware as a Machine Learning Engineer, and AQR Capital Management Llc as a research engineer. Her current research interests are deep learning, computer vision and AI-assisted healthcare.
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Wing Hung Wong
Stephen R. Pierce Family Goldman Sachs Professor of Science and Human Health and Professor of Biomedical Data Science
Current Research and Scholarly InterestsCurrent interest centers on the application of statistics to biology and medicine. We are particularly interested in questions concerning gene regulation, genome interpretation and their applications to precision medicine.
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Yuyun Yang
Ph.D. Student in Computational and Mathematical Engineering, admitted Autumn 2018
Current Research and Scholarly InterestsFluid transport in faults and how that impacts dynamic earthquake rupture
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Yinyu Ye
Kwoh-Ting Li Professor in the School of Engineering and Professor, by courtesy, of Electrical Engineering
BioYinyu Ye is currently the Kwoh-Ting Li Professor in the School of Engineering at the Department of Management Science and Engineering and Institute of Computational and Mathematical Engineering and the Director of the MS&E Industrial Affiliates Program, Stanford University. He received the B.S. degree in System Engineering from the Huazhong University of Science and Technology, China, and the M.S. and Ph.D. degrees in Engineering-Economic Systems and Operations Research from Stanford University. Ye's research interests lie in the areas of optimization, complexity theory, algorithm design and analysis, and applications of mathematical programming, operations research and system engineering. He is also interested in developing optimization software for various real-world applications. Current research topics include Liner Programming Algorithms, Markov Decision Processes, Computational Game/Market Equilibrium, Metric Distance Geometry, Dynamic Resource Allocation, and Stochastic and Robust Decision Making, etc. He is an INFORMS (The Institute for Operations Research and The Management Science) Fellow, and has received several research awards including the winner of the 2014 SIAG/Optimization Prize awarded every three years to the author(s) of the most outstanding paper, the inaugural 2012 ISMP Tseng Lectureship Prize for outstanding contribution to continuous optimization, the 2009 John von Neumann Theory Prize for fundamental sustained contributions to theory in Operations Research and the Management Sciences, the inaugural 2006 Farkas prize on Optimization, and the 2009 IBM Faculty Award. He has supervised numerous doctoral students at Stanford who received received the 2015 and 2013 Second Prize of INFORMS Nicholson Student Paper Competition, the 2013 INFORMS Computing Society Prize, the 2008 Nicholson Prize, and the 2006 and 2010 INFORMS Optimization Prizes for Young Researchers. Ye teaches courses on Optimization, Network and Integer Programming, Semidefinite Programming, etc. He has written extensively on Interior-Point Methods, Approximation Algorithms, Conic Optimization, and their applications; and served as a consultant or technical board member to a variety of industries, including MOSEK.
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Honglin Yuan
Ph.D. Student in Computational and Mathematical Engineering, admitted Autumn 2017
Masters Student in Computational and Mathematical Engineering, admitted Summer 2018BioI am a second-year Ph.D. Candidate at ICME. Before coming to Stanford, I graduated from Peking University with B.S. degrees in Computational Mathematics and Computer Science. My current research interests lie in optimization and machine learning theory.
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Ruohan Zhan
Ph.D. Student in Computational and Mathematical Engineering, admitted Autumn 2017
BioHi, I'm a second year PhD student in Computational and Mathematical Engineering, Stanford University.
I'm mainly interested in theories and application of learning on data-related problems. Luckily, I have great research experiences with many marvelous researchers on data analysis, financial modeling and mathematical imaging. I'm also excited about discovering new interesting fields!
