School of Engineering
Showing 41-60 of 793 Results
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Mohammad Asadi
Ph.D. Student in Electrical Engineering, admitted Autumn 2023
BioI'm a PhD student in Electrical Engineering at Stanford, advised by Prof. Euan Ashley and co-advised by Prof. Ehsan Adeli and Prof. Fei-Fei Li. I build multimodal, agentic AI systems that reason jointly over heterogeneous data, and I develop evaluations that expose where frontier multimodal models fail.
My work is supported by the Amazon AI PhD Fellowship and the Stanford HAI Graduate Fellowship.
Personal website: masadi.ai -
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. -
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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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. -
Mohsen Bayati
Carl and Marilynn Thoma Professor in the Graduate School of Business and Professor, by courtesy, of Electrical Engineering and of Radiation Oncology (Radiation Therapy)
Current Research and Scholarly Interests1) Healthcare management: I am interested in improving healthcare delivery using data-driven modeling and decision-making.
2) Network models and message-passing algorithms: I work on graphical modeling ideas motivated from statistical physics and their applications in statistical inference.
3) Personalized decision-making: I work on machine learning and statistical challenges of personalized decision-making. The problems that I have worked on are primarily motivated by healthcare applications.
