School of Engineering

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  • Itai Ashlagi

    Itai Ashlagi

    Assistant Professor of Management Science and Engineering

    BioItai Ashlagi is an Assistant Professor at the Management Science & Engineering Department.
    He is interested in game theory and the design and analysis of marketplaces. He is especially interested in matching markets, for which he developed mechanisms using tools from operations/cs and economics. His work influenced the practice of Kidney exchange, for which he has become a Franz Edelman Laureate. Ashlagi received his PhD in operations research from the Technion-Israel Institute of Technology.
    Before coming to Stanford he was an assistant professor of Operations Management at Sloan, MIT and prior to that a postdoctoral researcher at HBS. He is the recipient of the outstanding paper award in the ACM conference of Electronic Commerce 2009. His research is supported by the NSF including an NSF-CAREER award.

  • Nicholas Bambos

    Nicholas Bambos

    Richard W. Weiland Professor in the School of Engineering and Professor of Electrical Engineering

    BioNick Bambos is a Professor at Stanford University, having a joint appointment in the Department of Electrical Engineering and the Department of Management Science & Engineering. He heads the Network Architecture and Performance Engineering research group at Stanford, conducting research in wireless network architectures, the Internet infrastructure, packet switching, network management and information service engineering, engaged in various projects of his Network Architecture Laboratory (NetLab). His current technology research interests include high-performance networking, autonomic computing, and service engineering. His methodological interests are in network control, online task scheduling, queueing systems and stochastic processing networks.

    He has graduated over 20 Ph.D. students, who are now at leadership positions in academia (Stanford, CalTech, Michigan, GaTech, NYU, UBC, etc.) and the information technology industry (Cisco, Broadcom, IBM Labs, Qualcomm, Nokia, MITRE, Sun Labs, ST Micro, Intel, Samsung, TI, etc.) or have become successful entrepreneurs. From 1999 to 2005 he served as the director of the Stanford Networking Research Center, a major partnership/consortium between Stanford and information technology industries, involving tens of corporate members, faculty and doctoral students. He is now heading a new research initiative at Stanford on Networked Information Service Engineering.

    He is on the Editorial Boards of several research journals and serves on various international technical committees and review panels for networking research and information technologies. He has been serving on the boards of various start-up companies in the Silicon Valley, consults on high technology development and management matters, and has served as lead expert witness in high-profile patent litigation cases in networking and computing.

  • Stephen R. Barley

    Stephen R. Barley

    Weiland Professor in the School of Engineering, Emeritus

    Current Research and Scholarly InterestsTechnology's role in occupational and organizational change. Science and innovation in industrial settings. Organizational and occupational culture. Corporate power. Social network theory. Macro-organizational behavior.

  • Jose H. Blanchet

    Jose H. Blanchet

    Associate Professor of Management Science and Engineering

    BioJose Blanchet holds a Ph.D. in Management Science and Engineering from Stanford University. Prior to joining MSandE he was a faculty member of Columbia and Harvard University. Jose is a recipient of the 2009 Best Publication Award given by the INFORMS Applied Probability Society and of the 2010 Erlang Prize. He also received a PECASE award given by NSF in 2010. He worked as an analyst in Protego Financial Advisors, a leading investment bank in Mexico. He has research interests in applied probability and Monte Carlo methods. He serves in the editorial board of Advances in Applied Probability, Journal of Applied Probability, Mathematics of Operations Research, QUESTA, Stochastic Models, and Stochastic Systems.

  • Stephen Boyd

    Stephen Boyd

    Samsung Professor in the School of Engineering and Professor, by courtesy, of Computer Science and of Management Science and Engineering

    BioStephen P. Boyd is the Samsung Professor of Engineering, and Professor of Electrical Engineering in the Information Systems Laboratory at Stanford University. He has courtesy appointments in the Department of Management Science and Engineering and the Department of Computer Science, and is member of the Institute for Computational and Mathematical Engineering. His current research focus is on convex optimization applications in control, signal processing, machine learning, and finance.

    Professor Boyd received an AB degree in Mathematics, summa cum laude, from Harvard University in 1980, and a PhD in EECS from U. C. Berkeley in 1985. In 1985 he joined the faculty of Stanford's Electrical Engineering Department. He has held visiting Professor positions at Katholieke University (Leuven), McGill University (Montreal), Ecole Polytechnique Federale (Lausanne), Tsinghua University (Beijing), Universite Paul Sabatier (Toulouse), Royal Institute of Technology (Stockholm), Kyoto University, Harbin Institute of Technology, NYU, MIT, UC Berkeley, CUHK-Shenzhen, and IMT Lucca. He holds honorary doctorates from Royal Institute of Technology (KTH), Stockholm, and Catholic University of Louvain (UCL).

    Professor Boyd is the author of many research articles and three books: Convex Optimization (with Lieven Vandenberghe, 2004), Linear Matrix Inequalities in System and Control Theory (with L. El Ghaoui, E. Feron, and V. Balakrishnan, 1994), and Linear Controller Design: Limits of Performance (with Craig Barratt, 1991). His group has produced many open source tools, including CVX (with Michael Grant), CVXPY (with Steven Diamond) and Convex.jl (with Madeleine Udell and others), widely used parser-solvers for convex optimization.

    Professor Boyd has received many awards and honors for his research in control systems engineering and optimization, including an ONR Young Investigator Award, a Presidential Young Investigator Award, and the AACC Donald P. Eckman Award. In 2013, he received the IEEE Control Systems Award, given for outstanding contributions to control systems engineering, science, or technology. In 2012, Michael Grant and he were given the Mathematical Optimization Society's Beale-Orchard-Hays Award, given every three years for excellence in computational mathematical programming. He is a Fellow of the IEEE, SIAM, and INFORMS, a Distinguished Lecturer of the IEEE Control Systems Society, and a member of the US National Academy of Engineering and a foreign member of the Chinese Academy of Engineering. He has been invited to deliver more than 90 plenary and keynote lectures at major conferences in control, optimization, signal processing, and machine learning.

    He has developed and taught many undergraduate and graduate courses, including Signals & Systems, Linear Dynamical Systems, Convex Optimization, and a recent undergraduate course on Matrix Methods. His graduate convex optimization course attracts around 300 students from more than 20 departments. In 1991 he received an ASSU Graduate Teaching Award, and in 1994 he received the Perrin Award for Outstanding Undergraduate Teaching in the School of Engineering. In 2003, he received the AACC Ragazzini Education award, for contributions to control education, with citation: “For excellence in classroom teaching, textbook and monograph preparation, and undergraduate and graduate mentoring of students in the area of systems, control, and optimization.” In 2016 he received the Walter J. Gores award, the highest award for teaching at Stanford University. In 2017 he received the IEEE James H. Mulligan, Jr. Education Medal, for a career of outstanding contributions to education in the fields of interest of IEEE, with citation "For inspirational education of students and researchers in the theory and application of optimization."

  • Margaret Brandeau

    Margaret Brandeau

    Coleman F. Fung Professor in the School of Engineering and Professor, by courtesy, of Medicine (PCOR)

    BioProfessor Brandeau is the Coleman F. Fung Professor in the School of Engineering and a Professor of Medicine (by Courtesy). Her research focuses on the development of applied mathematical and economic models to support health policy decisions. Her recent work has focused on HIV prevention and treatment programs, programs to control the spread of hepatitis B virus, and public health preparedness plans. She has served as Principal Investigator or Co-PI on a broad range of funded research projects.

    She is a Fellow of the Institute for Operations Research and Management Science (INFORMS) and a member of the Omega Rho International Honor Society for Operations Research and Management Science. From INFORMS she has received the President’s Award (recognizing important contributions to the welfare of society), the Pierskalla Prize (for research excellence in health care management science), the Philip McCord Morse Lectureship Award, and the Award for the Advancement of Women in Operations Research and the Management Sciences. She has also received the Award for Excellence in Application of Pharmacoeconomics and Health Outcomes Research from the International Society for Pharmacoeconomics and Outcomes Research, and a Presidential Young Investigator Award from the National Science Foundation, among other awards. Professor Brandeau earned a BS in Mathematics and an MS in Operations Research from MIT, and a PhD in Engineering-Economic Systems from Stanford.

  • Thomas Byers

    Thomas Byers

    Entrepreneurship Professor in the School of Engineering

    BioAt Stanford University since 1995, Professor Tom Byers focuses on education regarding high-growth entrepreneurship and technology innovation. He is the first holder of the Entrepreneurship Professorship endowed chair in the School of Engineering, and is also a Bass University Fellow in Undergraduate Education. He has been a faculty director since the inception of the Stanford Technology Ventures Program (STVP), which serves as the entrepreneurship center for the engineering school. STVP includes the Mayfield Fellows work/study program for undergraduates and the Entrepreneurship Corner (eCorner) collection of thought leader videos. He was the director and lead principal investigator of the Epicenter, which was funded by the National Science Foundation to stimulate entrepreneurship education at all US engineering and science colleges. He is the co-author of a textbook called Technology Ventures: From Idea to Enterprise that is published by McGraw-Hill.

    He is a past recipient of the prestigious Gordon Prize by the National Academy of Engineering in the USA and Stanford University's Gores Award, which is its highest honor for excellence in teaching. He is a member of the board of trustees at Menlo College. He has been a member of advisory boards at Harvard Business School, UC Berkeley, World Economic Forum, and Conservation International. Tom was executive vice president and general manager of Symantec Corporation during its formation, and started his career at Accenture. Tom holds a BS in Industrial Engineering and Operations Research and an MBA from UC Berkeley. He also earned a PhD in Business Administration (Management Science) at UC Berkeley.