School of Engineering
Showing 301-400 of 6,589 Results
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Matthew Bahls
Associate Dean, Development, School of Engineering - External Relations
Current Role at StanfordDevelopment Officer for the School of Engineering
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Richard Bahr
Adjunct Professor, Electrical Engineering
BioAcademic experience:
Presently advising the Stanford SystemX Alliance, and the EE/CS AHA! Research center as an adjunct prof. Formerly the executive director of the SystemX Alliance, and a consulting professor at Stanford.
Commercial experience:
Presently an advisor, consultant and mentor to a number of startup companies primarily in the computing and wireless spaces. Formerly the SrVP responsible for Wi-Fi technology at Qualcomm, and before that the engineering executive responsible for the MIPS microprocessor and Cray supercomputer development at SGI.
Education: BSEE and MSEE from MIT.
For more extensive background, please consult my linked in profile: https://www.linkedin.com/in/rickbahr. -
Cynthia Bailey
Senior Lecturer of Computer Science
Current Research and Scholarly InterestsI have a PhD in Computer Science from the University of California, San Diego, in the area of High-Performance Computing (HPC), specifically market-based scheduling algorithms. My graduate research was done as part of San Diego Supercomputer Center (SDSC)'s Performance Modeling and Characterization Lab (PMaC), where I investigated economic models of scheduling on high performance computing systems. My adviser was Allan Snavely of SDSC.
My dissertation abstract is as follows: Effective management of Grid and HPC resources is essential to maximizing return on the substantial infrastructure investment these resources entail. An important prerequisite to effective resource management is productive interaction between the user and scheduler. My work analyzes several aspects of the user-scheduler relationship and develops solutions to three of the most vexing barriers between the two. First, users' monetary valuation of compute time and schedule turnaround time is examined in terms of a utility function. Second, responsiveness of the scheduler to users' varied valuations is optimized via a genetic algorithm heuristic, creating a controlled market for computation. Finally, the chronic problem of inaccurate user runtime requests, and its implications for scheduler performance, is examined, along with mitigation techniques.
My current research projects are in the area of Computer Science Education, with an emphasis on assessment and the use of Peer Instruction pedagogy in lecture. With colleagues Mark Guzdial, Leo Porter, and Beth Simon, I run the New CS Faculty Teaching Workshop, an annual "bootcamp" on how to teach effectively that draws attendees from dozens of the top CS programs in the country. The short-term goal is to give newly-hired faculty entering their first year of teaching the skills they need to succeed for themselves and their students. The long-term goal is to transform undergraduate education in CS by seeding our best rising stars with best practices so they can create communities of practice as their institutions and mentor their students in active learning strategies, creating a culture where these are the new norm. -
Michael Baird
Postdoctoral Scholar, Chemical Engineering
BioMike Baird obtained a B.S. in chemistry from University of California, Riverside. He then spent two years in industry at Illumina before resuming his studies at University of California, Berkeley, completing a Ph.D. in chemistry. Mike conducted his doctoral research in the laboratory of Brett Helms at Lawrence Berkeley National Laboratory, where he synthesized microporous polymer membranes and sorbents for lithium extraction from natural feedstocks which are highly dilute in the target species. He additionally investigated electrolytes for next-generation battery chemistries (i.e., lithium metal anode) with suitable transport and reactivity characteristics for aggressive battery operation.
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Christine M Baker
Assistant Professor of Civil and Environmental Engineering and, by courtesy, of Oceans
BioBaker’s research examines processes at the land-ocean interface, a highly dynamic region with fragile ecosystems, progressively vulnerable communities, and coastal hazards further magnified by a changing climate. Her research integrates laboratory experimentation with numerical modeling and remotely sensed field observations to build our fundamental understanding of hydrodynamics in coastal regions. The goals of her research include informing predictions of coastal water quality, shoreline evolution, and other coastal hazards and improving coastal resiliency in changing environments. Her ongoing and planned projects include studying wave transformation in shallow waters, surf-shelf transport driven by eddy and rip current dynamics, wave-driven sediment transport, and coupled hydro- and morphodynamics in the context of extreme events.
Baker completed a bachelors degrees in Civil Engineering from Oregon State University and a Masters and PhD in Civil & Environmental Engineering from the University of Washington. -
Jack Baker
William Alden Campbell and Martha Campbell Professor and Professor of Civil and Environmental Engineering
On Partial Leave from 10/01/2025 To 06/30/2026BioJack Baker is a Professor of Civil & Environmental Engineering and Associate Dean for Faculty Affairs in the Stanford Doerr School of Sustainability. He uses probabilistic and statistical tools to quantify and manage disaster risk and resilience. He has made contributions to risk analysis of spatially distributed systems, characterization of earthquake ground motions, and simulation of post-disaster recovery. He is an author of the textbook Seismic Hazard and Risk Analysis, Director of the Stanford Urban Resilience Initiative, Editor-in-Chief of Earthquake Spectra, and a Co-Founder of Haselton Baker Risk Group.
Prior to Stanford, Professor Baker was a visiting researcher at the Swiss Federal Institute of Technology (ETH Zurich). He has degrees in Structural Engineering (Stanford, M.S. 2002, Ph.D. 2005), Statistics (Stanford, M.S. 2004) and Mathematics/Physics (Whitman College, B.A. 2000). His awards include the William B. Joyner Lecture Award from the Seismological Society of America and Earthquake Engineering Research Institute, the Shah Family Innovation Prize from the Earthquake Engineering Research Institute, the CAREER Award from the National Science Foundation, the Early Achievement Research Award from the International Association for Structural Safety and Reliability, the Walter L. Huber Prize from the American Society of Civil Engineers, the Helmut Krawinkler Award from the Structural Engineers Association of Northern California, and the Eugene L. Grant Award for excellence in teaching from Stanford. -
Halleh Balch
Assistant Professor of Oceans and, by courtesy, of Electrical Engineering
BioHalleh B. Balch is an experimental physicist and HHMI Hanna H. Gray Faculty Fellow at Stanford University. Her research broadly focuses on advancing imaging, spectroscopy, and nanophotonics with a focus on applications in oceanography and water sustainability. Halleh received her PhD in physics from the University of California Berkeley and her undergraduate degree from Swarthmore College in physics and literature. Halleh joined Stanford as an Assistant Professor in the Doerr School of Sustainability in August 2025.
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Michelle Q. Wang Baldonado
Research Engineer
Current Research and Scholarly InterestsMichelle is currently exploring the space of robotics systems for older adults. Working to bridge the robotics and senior communities, she is especially interested in robots that encourage older adults to develop and maintain healthy habits as they age, with a focus both on reducing social isolation and on encouraging physical activity and time outdoors.
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Jon Ball
Ph.D. Student in Education, admitted Autumn 2020
Ph.D. Minor, Computer ScienceBioHi! I'm a 3rd year PhD Student in Education Data Science dedicated to improving information accessibility.
Recent projects include:
Natural Language Processing: language analytics for Open Journal Systems (OJS)
Graph ML: modeling citation networks of computer science publications (OJS/arXiv)
Social Network Analysis: clustering of philanthropic partnerships for the Jim Joseph Foundation (SF) -
Nicholas Bambos
Richard W. Weiland Professor in the School of Engineering and Professor of Electrical Engineering
BioNick Bambos is R. Weiland Professor in the School of Engineering at Stanford University, having a joint appointment in the Department of Electrical Engineering and the Department of Management Science & Engineering. He has been the Fortinet Founders Department Chair of the Management Science & Engineering Department (2016 – 20).
He heads the Computer Systems Performance Engineering Lab (Perf-Lab) at Stanford, comprised of doctoral students and industry visitors engaged in various research projects, and was the Director (1999 – 2005) of the Stanford Networking Research Center (a research project of about $30M). He has published over 300 peer-reviewed research publications and graduated over 40 doctoral students (including two post-doctoral ones), who have moved on to leadership positions in academia, the Silicon Valley industries and technology startups, finance and venture capital, etc.
His research interests are in architecture and high-performance engineering of computer systems and networks, as well as data analytics with an emphasis on medical and health-care analytics. His research contributions span the areas of networking and the Internet, cloud computing and data centers, multimedia streaming, computer security, digital health, etc. His methodological interests and contributions span the areas of network control, online task scheduling, routing and distributed processing, machine learning and artificial intelligence, etc.
He received his Ph.D. (1989) in Electrical Engineering & Computer Sciences from the University of California at Berkeley. Before joining Stanford in 1996, he served as assistant professor (1989 – 95) and tenured associate professor (1995 – 96) of Electrical Engineering at the University of California at Los Angeles (UCLA).
He has received several best research paper awards and has been the Cisco Systems Faculty Development Chair and the David Morgenthaler Faculty Scholar at Stanford. He has won the IBM Faculty Award, as well as the National Young Investigator Award and the Research Initiation Award from the National Science Foundation. He has been a Berkeley U.C. Regents Fellow, an E. C. Anthony Fellow, and a D. & S. Gale Fellow.
He has served on various editorial boards of research journals, scientific boards of research labs, international technical and scientific committees, and technical review panels for networking and computing technologies. He has also served on corporate technical boards, as consultant and co-founder of technology start-up companies, and as expert witness in high-profile patent litigation and other legal cases involving information technologies. -
Sujay Banerjee
Masters Student in Bioengineering, admitted Autumn 2025
Current Research and Scholarly InterestsI develop deep learning models for genomic and molecular data to advance precision medicine. My work spans deep learning-based methods for structural variant detection in genome sequencing, diabetetes risk prediction, and protein–ligand binding affinities predicion. I’m broadly interested in how AI can accelerate drug discovery, uncover disease mechanisms, and improve individualized healthcare.
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Somil Bansal
Assistant Professor of Aeronautics and Astronautics
BioSomil Bansal is an assistant professor at the Department of Aeronautics and Astronautics at Stanford. Before joining Stanford, he was an assistant professor in the ECE department at the University of Southern California. He received an MS and a Ph.D. in Electrical Engineering and Computer Sciences (EECS) from the University of California at Berkeley in 2014 and 2020, respectively. Before that, he obtained a B.Tech. in Electrical Engineering from the Indian Institute of Technology, Kanpur in 2012. After his PhD, he spent a year as a Research Scientist at Waymo (formerly known as the Google Self-Driving Car project). He has also collaborated closely with companies like Skydio, Google, Boeing, as well as NASA AMES/JPL. Somil is broadly interested in developing mathematical tools and algorithms for the control and analysis of safety-critical autonomous and robotic systems, with a special emphasis on ensuring the safety of learning-enabled systems. Somil has received several awards, most notably the NSF CAREER award, the Eli Jury Award at UC Berkeley for his doctoral research, the RSS Pioneer Award, and the Outstanding Graduate Student Instructor Award.
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Zhenan Bao
K. K. Lee Professor, Senior Fellow at the Precourt Institute for Energy and Professor, by courtesy, of Materials Science and Engineering, of Chemistry, and of Bioengineering
BioZhenan Bao joined Stanford University in 2004. She is currently a K.K. Lee Professor in Chemical Engineering, and with courtesy appointments in Chemistry, Bioengineering and Material Science and Engineering. She was the Department Chair of Chemical Engineering from 2018-2022 and in 2025. She founded the Stanford Wearable Electronics Initiative (eWEAR) and is the current faculty director. Bao received her Ph.D. degree in Chemistry from The University of Chicago in 1995 and joined Bell Labs, Lucent Technologies. She became a Distinguished Member of Technical Staff in 2001. Professor Bao currently has more than 800 refereed publications and more than 80 US patents with a Google Scholar H-index 237.
Bao is a member of the US National Academy of Sciences, National Academy of Engineering, the American Academy of Arts and Sciences and the National Academy of Inventors. Bao was elected a foreign member of the Chinese Academy of Science in 2021. She is a Fellow of AAAS, ACS, MRS, SPIE, ACS POLY and ACS PMSE.
Bao is a member of the Board of Directors for the Camille and Dreyfus Foundation from 2022. She served as a member of Executive Board of Directors for the Materials Research Society and Executive Committee Member for the Polymer Materials Science and Engineering division of the American Chemical Society. She co-founded C3 Nano Co. (acquired by Du Pont) and PyrAmes, which have produced products used in commercial smartphones and hospitals, respectively. Multiple inventions from her lab have been licensed and served as foundational technologies for several additional start-ups.
Bao was a recipient of the VinFuture Prize Female Innovator 2022, ACS Award of Chemistry of Materials 2022, MRS Mid-Career Award in 2021, AICHE Alpha Chi Sigma Award 2021, ACS Central Science Disruptor and Innovator Prize in 2020, ACS Gibbs Medal in 2020, the Wilhelm Exner Medal from the Austrian Federal Minister of Science in 2018, the L'Oreal UNESCO Women in Science Award North America Laureate in 2017. She was awarded the ACS Applied Polymer Science Award in 2017, ACS Creative Polymer Chemistry Award in 2013 ACS Cope Scholar Award in 2011. She is a recipient of the Royal Society of Chemistry Beilby Medal and Prize in 2009, IUPAC Creativity in Applied Polymer Science Prize in 2008.
In Stanford, Bao has pioneered molecular design concepts and fabrication processes to advance the scope and applications of skin-inspired electronics. Her group discovered nano confinement effect of conjugated polymers in polymer blends, which established the fundamental foundation for skin-inspired electronic materials and devices. Her work has resulted in new materials and device solutions for soft robotics, wearable and implantable electronics for precision health, precision mental health and advanced tools for understanding neuroscience and treatment of neurodegenerative diseases. Building on chemical insights, her group has developed foundational materials and devices that enabled a new generation of skin-inspired soft electronics. They provide unprecedented opportunities for understanding human health through developing monitoring, diagnosis and treatment tools. Some examples include: a neuromorphic e-skin that can sense force and temperature and directly communicate with brain, a wireless wound healing patch, a soft NeuroString for simultaneous neurochemical monitoring in the brain and gut, soft high-density electrophysiological recording array, a meta-learned skin sensor for detailed body movements, a reconfigurable self-healing electronic skin.
