School of Engineering
Showing 601-700 of 6,463 Results
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Stephen Boyd
Samsung Professor in the School of Engineering
BioStephen P. Boyd is the Samsung Professor of Engineering, and Professor of Electrical Engineering in the Information Systems Laboratory at Stanford University, and a 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 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 four books: Introduction to Applied Linear Algebra: Vectors, Matrices, and Least-Squares (with Lieven Vandenberghe, 2018), Convex Optimization (with Lieven Vandenberghe, 2004), Linear Matrix Inequalities in System and Control Theory (with El Ghaoui, Feron, and 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.
He 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, for excellence in computational mathematical programming. In 2023, he was given the AACC Richard E. Bellman Control Heritage Award, the highest recognition of professional achievement for U.S. control systems engineers and scientists. In 2025, he was awarded the IFAC Nathaniel B. Nichols Medal.
He is a Fellow of the IEEE, SIAM, INFORMS, IFAC, and ACA, a Distinguished Lecturer of the IEEE Control Systems Society, a member of the US National Academy of Engineering, a foreign member of the Chinese Academy of Engineering, and a foreign member of the National Academy of Engineering of Korea. He has been invited to deliver more than 100 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. 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
Coleman F. Fung Professor in the School of Engineering and Professor, by courtesy, of Health Policy
BioProfessor Brandeau is the Coleman F. Fung Professor in the School of Engineering and a Professor of Health Policy (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 US opioid epidemic, and policies for minimizing the spread of infectious diseases, including COVID-19. 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 (in 2001 and 2017, for research excellence in health care management science), the Philip McCord Morse Lectureship Award, the Saul Gass Expository Writing 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. -
John Bravman
Bing Centennial Prof, Freeman-Thornton Chair for Vice Provost for Undergrad Ed, & Dean of Fresh-Soph College, & Prof of Materials Sci & Eng, Emeritus
Biohttps://www.bucknell.edu/meet-bucknell/bucknell-leadership/meet-president-bravman
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Leticia Britos Cavagnaro
Adjunct Professor
BioLeticia Britos Cavagnaro is a scientist-turned-designer working to shape the future of teaching and learning at the Stanford Hasso Plattner Institute of Design (d.school). She holds a PhD from Stanford, at the intersection of Developmental Biology and Computer Science.
Leticia has started and leads several d.school initiatives that support pedagogical innovation globally, such as the Teaching and Learning Studio –an open-enrollment professional development program that has trained over 1000 higher education professors and leaders since 2016– and the Innovative Teaching Scholars program –a collaboration with the Stanford Engineering Center for Global & Online Education to train university educators in Thailand.
She was the founding Deputy Director of the National Center for Engineering Pathways to Innovation (Epicenter), an NSF-funded initiative to foster innovation and entrepreneurship in engineering education across the US that was spearheaded by Stanford's Management Science & Engineering department from 2011 to 2016. With Epicenter as its launchpad, Leticia co-founded, scaled, and spun-off the University Innovation Fellows program, which empowers students globally to be co-designers of their education in collaboration with faculty and leaders at their schools. The program has trained over 3200 Fellows from over 326 universities in 24 countries.
Leticia teaches Capstone Project and Advanced Reflective Practice to graduate students in Stanford’s MS Design program. She also develops tools that leverage emerging technologies like AI to empower learners to be self-directed, action-oriented, and reflective. Riff –the generative AI reflection assistant Leticia developed– is being used by hundreds of educators globally and has supported over 25,000 student reflections in the past year.
Leticia is a thought leader in pedagogical innovation. Her recent book Experiments In Reflection invites us to expand how we see the past and present and to become bold shapers of the future.
She was born in Uruguay and lives in San Francisco with her husband.
Connect with Leticia: https://www.linkedin.com/in/leticiabc/ -
Mark Brongersma
Director, Geballe Laboratory for Advanced Materials (GLAM), Stephen Harris Professor, Professor of Materials Science and Engineering and, by courtesy, of Applied Physics
BioMark Brongersma is a Professor in the Department of Materials Science and Engineering at Stanford University. He received his PhD in Materials Science from the FOM Institute in Amsterdam, The Netherlands, in 1998. From 1998-2001 he was a postdoctoral research fellow at the California Institute of Technology. During this time, he coined the term “Plasmonics” for a new device technology that exploits the unique optical properties of nanoscale metallic structures to route and manipulate light at the nanoscale. His current research is directed towards the development and physical analysis of nanostructured materials that find application in nanoscale electronic and photonic devices. Brongersma received a National Science Foundation Career Award, the Walter J. Gores Award for Excellence in Teaching, the International Raymond and Beverly Sackler Prize in the Physical Sciences (Physics) for his work on plasmonics, and is a Fellow of the Optical Society of America, the SPIE, and the American Physical Society.
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Jenn Brophy
Assistant Professor of Bioengineering
Current Research and Scholarly InterestsWe develop technologies that enable the genetic engineering of plants and their associated microbes with the goal of driving innovation in agriculture for a sustainable future. Our work is focused in synthetic biology and the reprogramming of plant development for enhanced environmental stress tolerance.
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Aaron Brown
Ph.D. Student in Mechanical Engineering, admitted Autumn 2019
Current Research and Scholarly InterestsEngineering research with applications to energy/environmental sustainability.
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Cyan Brown
Postdoctoral Scholar, Bioengineering
BioCyan is an MD, MPH, interested in health innovation and sustainability. She completed her medical training in South Africa and her master's in public health through King's College London. Her research focuses on the intersection of health equity, innovation, and health outcomes. She is an Atlantic Fellow for Health Equity. She is currently the health equity lead at Stanford Biodesign. She is responsible for creating content and updating the curriculum, events, and research on innovations that catalyze broader access and inclusivity.
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Zev Bryant
Associate Professor of Bioengineering and, by courtesy, of Structural Biology
Current Research and Scholarly InterestsMolecular motors lie at the heart of biological processes from DNA replication to vesicle transport. My laboratory seeks to understand the physical mechanisms by which these nanoscale machines convert chemical energy into mechanical work.
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Vivek P. Buch, MD
Assistant Professor of Neurosurgery and, by courtesy, of Bioengineering
BioDr. Buch is a neurosurgeon with fellowship training in epilepsy, functional, and minimally invasive neurosurgery. He is an Assistant Professor of Neurosurgery, and Christina and Hamid Moghadam Faculty Scholar at Stanford University.
Dr. Buch focuses his expertise on the open and minimally invasive treatment of epilepsy, low grade brain tumors, movement and neuropsychiatric disorders, facial and body pain syndromes, and other complex neurological conditions. He uses advanced and innovative techniques to treat both adult and pediatric patients. For each patient, he develops a personalized care plan that is designed to be both comprehensive and compassionate.
Dr. Buch has conducted extensive research. His career goal is to develop restorative bioengineering approaches for complex neurocognitive, neurodevelopmental, and neuropsychiatric disorders. He is creating network-neuroprosthetics and precision molecular therapies to restore abnormal brain circuit function in these vulnerable patient populations. He is further pioneering novel intraoperative technologies including personalized network-based targeting, holographic mixed reality, and artificial intelligence platforms for minimally invasive cranial surgery.
He has co-authored articles on his research discoveries in Science, Nature, Nature Medicine, Neuron, Brain, Annals of Surgery, Frontiers in Neuroscience, Epilepsia, Brain Stimulation, Stereotactic and Functional Neurosurgery, Surgical Innovation, Frontiers in Surgery, Journal of Neurosurgery, and many other journals. Articles focus on developing novel network control theory applications to human brain functions and new techniques and technologies to enhance neurosurgical effectiveness and patient outcomes.
He is the Section Editor for NEUROSURGERY, and a guest editor for Surgical Innovation and Brain Sciences. He also has co-authored chapters in the books Neurosurgical Atlas, Operative Techniques in Epilepsy Surgery, Deep Brain Stimulation, and The Encyclopedia of Medical Robotics.
Dr. Buch has presented the findings of his research at the national conferences of numerous professional associations. Among them are the American Association of Neurological Surgeons, Society for Neuroscience, Congress of Neurological Surgeons, and Society for Imaging Informatics in Medicine. Topics include understanding network mechanisms of cognitive control and advances in the use of augmented reality technology to enhance neurosurgical approaches.
For his clinical, research, and academic achievements. Dr. Buch has earned many honors. He has won awards from the American Association of Neurological Surgeons, American Roentgen Ray Society, Congress of Neurological Surgeons, and National Institutes of Health.
Dr. Buch is a member of the American Association of Neurological Surgeons, Congress of Neurological Surgeons, World Society for Stereotactic and Functional Neurosurgery, American Association of Stereotactic and Functional Neurosurgery, and Alpha Omega Alpha Medical Honor Society.
He holds patents on such topics as artificial intelligence systems designed to help guide surgery and neural control signals for behavioral modification and closed-loop stimulation therapy.
Essential tremor patient story: https://www.youtube.com/watch?v=fV6BzyU9b3c
Parkinson's disease patient story: https://www.youtube.com/watch?v=vAKP7SRKs08
Epilepsy patient story: https://www.youtube.com/watch?v=HXy-gXg0t94&t=3s
Deep brain stimulation treatment: https://www.youtube.com/watch?v=xLgEcb447gA&t=1s
Laser interstitial thermal therapy treatment: https://www.youtube.com/watch?v=z-nRUMbs2kY&t=2s
MR-guided focused ultrasound treatment: https://www.youtube.com/watch?v=3Bwq2YxD9eU -
Kristin Burns
Design Group Manager, Mechanical Engineering - Design
Current Role at StanfordME Design Group Manager
Manager, Industry Affiliate Program for Teaching Design Thinking -
April Burrage
Provostial Fellow
BioApril Burrage, Ph.D. is a Provostial Fellow in the Management Science and Engineering department at Stanford University. Her research focuses on differences in entrepreneurial opportunities and the economics of innovation and science. She examines how institutions shape entrepreneurial possibilities and innovation for emerging tech entrepreneurs. Currently, her work explores the impact of innovation policies on tech entrepreneurship and the motivations of STEM professionals to commercialize their ideas. Supported by the National Science Foundation and the Sloan Foundation, Dr. Burrage's research has been featured in outlets such as Research Policy, Journal of Economics and Management Strategy, and Brookings Institution. Her research seeks to uncover the institutional factors that drive entrepreneurship and innovation, with the goal of informing policies and practices that promote a dynamic entrepreneurial ecosystem. Dr. Burrage earned her Ph.D. in Economics from the University of Massachusetts Amherst, her M.A. in Economics from Roosevelt University, and her B.S. in Marketing from North Carolina A&T State University.
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Thomas Byers
Entrepreneurship Professor in the School of Engineering
Current Research and Scholarly InterestsApplied ethics, responsible innovation, and global entrepreneurship education (see http://peak.stanford.edu).
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Xiangmeng (Shawn) Cai
Ph.D. Student in Bioengineering, admitted Summer 2022
BioI'm a Ph.D. student in bioengineering. My research interests include using engineering and computational methods to probe, measure, perturb, and predict chromosome organization and epigenetic dynamics.
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Wei Cai
Professor of Mechanical Engineering and, by courtesy, of Materials Science and Engineering
BioPredicting mechanical strength of materials through theory and simulations of defect microstructures across atomic, mesoscopic and continuum scales. Developing new atomistic simulation methods for long time-scale processes, such as crystal growth and self-assembly. Applying machine learning techniques to materials research. Modeling and experiments on the metallurgical processes in metal 3D printing. Understanding microstructure-property relationship in materials for stretchable electronics, such as carbon nanotube networks and semiconducting elastomers.
