School of Engineering
Showing 501-600 of 5,902 Results
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Alexandria Boehm
Richard and Rhoda Goldman Professor of Environmental Studies, Professor of Oceans and Senior Fellow at the Woods Institute for the Environment
BioI am interested in pathogens in the environment including their sources, fate, and transport in natural and engineered systems. I am interested in understanding of how pathogens are transmitted to humans through contact with water, feces, and contaminated surfaces. My research is focused on key problems in both developed and developing countries with the overarching goal of designing and testing novel interventions and technologies for reducing the burden of disease.
I am also interested broadly in coastal water quality where my work addresses the sources, transformation, transport, and ecology of biocolloids - specifically fecal indicator organisms, DNA, pathogens, and phytoplankton - as well as sources and fate of nitrogen. This knowledge is crucial to formulating new management policies and engineering practices that protect human and ecosystem health at the coastal margins. -
Jeannette Bohg
Associate Professor of Computer Science
BioJeannette Bohg is an Assistant Professor of Computer Science at Stanford University. She was a group leader at the Autonomous Motion Department (AMD) of the MPI for Intelligent Systems until September 2017. Before joining AMD in January 2012, Jeannette Bohg was a PhD student at the Division of Robotics, Perception and Learning (RPL) at KTH in Stockholm. In her thesis, she proposed novel methods towards multi-modal scene understanding for robotic grasping. She also studied at Chalmers in Gothenburg and at the Technical University in Dresden where she received her Master in Art and Technology and her Diploma in Computer Science, respectively. Her research focuses on perception and learning for autonomous robotic manipulation and grasping. She is specifically interesting in developing methods that are goal-directed, real-time and multi-modal such that they can provide meaningful feedback for execution and learning. Jeannette Bohg has received several awards, most notably the 2019 IEEE International Conference on Robotics and Automation (ICRA) Best Paper Award, the 2019 IEEE Robotics and Automation Society Early Career Award and the 2017 IEEE Robotics and Automation Letters (RA-L) Best Paper Award.
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Adam Boies
Associate Professor of Mechanical Engineering and Center Fellow at the Precourt Institute for Energy
Current Research and Scholarly InterestsSee www.ANEEStanford.com/research
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Ivo Bolsens
Adjunct Professor, Electrical Engineering
BioDirector of System X and instructor for EE310
Ivo retired from AMD as Senior Vice-President Corporate Research and Advanced Development. He managed advanced hardware and software technology development, including future architectures and software stacks to enable emerging opportunities in the fields of AI and embedded computing. His team was also driving the university partnerships to create a thriving, global ecosystem for AMD technology in academia.
He joined AMD in 2022, as part of the Xilinx acquisition. At Xilinx, he served as the Chief Technology Officer in charge of corporate research. He joined Xilinx in 2001 from the Interuniversity Microelectronics Centre (IMEC), an international research center based in Belgium. At IMEC he was vice president leading the R&D of digital signal processing hardware and software. During his tenure at IMEC, he spun-out several successful startups in the field of SOC design tools and wireless systems.
He serves on the advisory boards of IMEC, the Engineering Departments of San Jose State University and Santa Clara University, and the Department of Electrical Engineering and Computer Sciences at UC Berkeley.
He received his Master’s degree and PhD degree (EE) from the KU Leuven university in Belgium. -
Emanuele Bombardi
Affiliate, Mechanical Engineering - Flow Physics and Computation
BioEmanuele Bombardi received his BSc (2020) and MSc (2022) degrees in Mathematical and Aerospace Engineering from the Politecnico di Torino. He subsequently began his doctoral studies at the Aéro-Thermo-Mécanique Laboratory at the Université libre de Bruxelles, under the supervision of Prof. Alessandro Parente and co-supervised by Prof. Luca Magri at Imperial College London, within the MODELAIR project funded by a Horizon Europe Marie Skłodowska-Curie Actions grant, with an expected graduation in 2027. He is a participant in the 2026 Summer Program at the Center for Turbulence Research at Stanford University.
Bombardi's research focuses on data assimilation methods for turbulence modelling and pollutant dispersion in urban atmospheric flows. Specific topics of interest include the development of ensemble Kalman filter frameworks for the calibration of turbulence closures, uncertainty quantification for low-fidelity simulations using high-fidelity data, and the application of these methods to complex urban environments. -
Dan Boneh
Cryptography Professor and Professor of Electrical Engineering
BioProfessor Boneh heads the applied cryptography group and co-direct the computer security lab. Professor Boneh's research focuses on applications of cryptography to computer security. His work includes cryptosystems with novel properties, web security, security for mobile devices, and cryptanalysis. He is the author of over a hundred publications in the field and is a Packard and Alfred P. Sloan fellow. He is a recipient of the 2014 ACM prize and the 2013 Godel prize. In 2011 Dr. Boneh received the Ishii award for industry education innovation. Professor Boneh received his Ph.D from Princeton University and joined Stanford in 1997.
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Ronaldo Borja
Professor of Civil and Environmental Engineering
BioBorja works in computational mechanics, geomechanics, and geosciences. His research includes developing strain localization and failure models for soils and rocks, modeling coupled solid deformation/fluid flow phenomena in porous materials, and finite element modeling of faulting, cracking, and fracturing in quasi-brittle materials.
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Mourad Bouache
Lecturer, Mechanical Engineering
BioMourad Bouache, Ph.D. is a pioneering computer scientist and tech leader operating at the critical intersection of hardware-software co-design, high-performance computing, and generative artificial intelligence.
Currently serving as the TPU and Models SW-HW Co-Design Tech Lead at Google, Mourad guides elite engineering teams tasked with architecting the next generation of accelerated AI infrastructure. His career spans over a decade of systemic evolution in AI, including serving as the Generative AI Engineering Tech Lead at Meta, driving core AI initiatives at Intel, and spending ten foundational years at Yahoo (through its Oath and Verizon chapters) scaling intelligent solutions across massive global ecosystems.
Anchored by deep academic roots, Mourad earned his Ph.D. in Computer Science from the University of Perpignan UPVD in France, followed by three prestigious postdoctoral fellowships focused on AI and Performance Optimization across the United States and Canada.
Committed to bridge-building between industry frontiers and academic excellence, he also serves as a lecturer at Stanford University, translating the complex realities of modern machine learning to inspire and equip the next generation of elite AI engineers. -
Adam Bouland
Assistant Professor of Computer Science
BioAdam Bouland is an Assistant Professor of Computer Science. His research focuses on quantum computing theory and connections between computational complexity and physics. Please see http://theory.stanford.edu/~abouland/ for details.
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Tom Bowman
Professor of Mechanical Engineering, Emeritus
BioProfessor Bowman studies reacting flows, primarily through experimental means, and the processes by which pollutants are formed and destroyed in flames. In addition, he is interested in the environmental impact of energy use, specifically greenhouse gas emissions from use of fossil fuels.
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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 examined programs related to HIV and drug abuse prevention and treatment, control of the opioid epidemic, and responses to homelessness. 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, d.school
Current Research and Scholarly InterestsI lead the development of AI-native learning tools at the Stanford d.school. My work builds frameworks for how human agency can scale with AI. Current tools include Riff (an AI-powered reflection assistant used by educators globally, with 50,000+ reflections), Mystery Machine (an AI scenario platform for adaptive learning, launched at SXSW 2025), and Aftercast (an AI tool for ethical exploration of projects). Author, Experiments in Reflection (Ten Speed Press, 2023).
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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 InterestsOur lab develops technologies that enable the genetic engineering of plants and their associated microbes to uncover mechanisms of environmental stress resilience and to drive innovation in agriculture for a sustainable future.
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Cynthia Brosque Markenson
Adjunct Lecturer, Architectural Design Program
BioCynthia is a Ph.D. Candidate in Civil and Environmental Engineering (CEE) at Stanford University. She is conducting research under the supervision of Martin Fischer (CEE-CIFE) https://cife.stanford.edu/.
Her research interests are Virtual Design and Construction (VDC) and Construction Robotics. She is currently teaching CEE 327: Construction Robotics.
She has a Master of Science in Civil Engineering (Stanford University - 2019) and an Architecture Degree (Universidad ORT Uruguay - 2016). -
Brighton Brown
Masters Student in Civil and Environmental Engineering, admitted Autumn 2023
Biowww.brightonbrown.com
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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 board certified neurosurgeon with fellowship training in pediatric and adult epilepsy, functional, and minimally invasive neurosurgery. He is an Assistant Professor of Neurosurgery and Bioengineering, and the Christina and Hamid Moghadam Endowed 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 pediatric and adult 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 academic 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 presented this work at numerous professional conferences at the national and international level.
He has co-authored articles on his research discoveries in Science, Nature, Nature Medicine, Nature Neuroscience, Nature Communications, Neuron, Brain, Annals of Surgery, New England Journal of Medicine, ACS Nano, 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 AI/Data Science 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.
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, including twice earning the honor of national Young Neurosurgeon award from the Congress of Neurological Surgeons in his first 5 years of practice.
Dr. Buch is a national leader in epilepsy surgery, functional neurosurgery, and surgical AI. He is a member of the Wu Tsai Neuroscience Institute, Human Performance Alliance, Stanford BioX, and Human Centered AI Institute. He is also 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, American Epeilepsy Soeciety, and Alpha Omega Alpha Medical Honor Society.
He has designed and holds patents on artificial intelligence systems for surgical guidance, neural control signals for closed-loop stimulation therapy, novel arrays for bioelectrical sensing and stimulation, and surgical devices including percutaneous anchoring mechanisms and digital neurological assessment tools.
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
