School of Engineering
Showing 1-50 of 792 Results
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Navid Anjum Aadit
Postdoctoral Scholar, Electrical Engineering
Current Research and Scholarly InterestsNavid Anjum Aadit builds hardware for problems that resist conventional acceleration: high-dimensional sampling, combinatorial search, and large AI models under hard energy budgets. His work spans the full stack, from Monte Carlo algorithms through probabilistic architectures to three-dimensionally integrated devices. He led the design of the first programmable probabilistic computer at the million p-bit scale, and at Stanford develops monolithic 3D CMOS+X accelerators.
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Muhammad Abdulla
Ph.D. Student in Electrical Engineering, admitted Autumn 2022
REU Graduate Coordinator, Electrical Engineering
Student Assistant, Electrical EngineeringCurrent Research and Scholarly InterestsMy research is focused on how motor control is encoded at a neuronal level. On the theoretical side, I develop mathematical methods for analyzing neural data and modeling the relationships between neurons and motor function. On the applied side, I build computational frameworks for processing large datasets and interfacing with hardware. My goals are to gain insights on how networks of neurons work in harmony to generate movement and to improve the design of brain-machine interfaces.
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Sara Achour
Assistant Professor of Computer Science and of Electrical Engineering
Current Research and Scholarly InterestsI am an Assistant Professor jointly appointed to both the Computer Science and the Electrical Engineering Departments at Stanford University. My research focuses on new techniques and tools, specifically new programming languages, compilers, and runtime systems, that enable end-users to more easily develop computations that exploit the potential of emerging computing platforms that exhibit analog behaviors.
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Maneesh Agrawala
Forest Baskett Professor and Professor, by courtesy, of Electrical Engineering
Current Research and Scholarly InterestsComputer Graphics, Human Computer Interaction and Visualization.
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Muhammad Ahmed Mohsin
Ph.D. Student in Electrical Engineering, admitted Winter 2025
BioI am a Ph.D. student @ Stanford advised by Dr. John Cioffi. I completed my undergraduate from NUST, Pakistan (2024). My research domain incorporates areas of Machine Learning, Reinforcement Learning and Wireless Communications.
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Nancy Ammar
Ph.D. Student in Electrical Engineering, admitted Autumn 2021
BioNancy Y. Ammar received her B.Sc. degree (with honors) in electronics and communication engineering from Ain Shams University, Cairo, Egypt, in 2019. In her senior year, she worked as an undergraduate Research Assistant in the Microwaves and Antenna Research Lab at Ain Shams University. She worked as an IC design consultant at Siemens EDA (Mentor Graphics previously).
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Amin Arbabian
Professor of Electrical Engineering
Current Research and Scholarly InterestsMy group's research covers RF circuits and system design for (1) biomedical, (2) sensing, and (3) Internet of Things (IoT) applications.
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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.
