Stanford University
Showing 1-100 of 5,970 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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Oliver O. Aalami, MD
Adjunct Professor, Bioengineering
BioDr. Oliver Aalami is a vascular surgeon and the Director of Digital Health at the Stanford Byers Center for Biodesign. His primary mission is to advance healthcare access through digital health education, research, and translation. At Stanford, he serves as the course director for Biodesign for Digital Health and Building for Digital Health and is a co-founder of Spezi (formerly CardinalKit), an open-source framework developed to support sensor-based mobile research.
His recent work focuses on the intersection of AI and patient care, including the development of an FDA-cleared open-source computer vision model for opportunistic abdominal aortic diameter quantification on routine CT scans. Additionally, he is developing LLMonFHIR, a system that allows consumers to "chat" with their medical records (FHIR resources) on mobile devices, as well as AI-assisted coaching tools to guide patients through therapy. -
Aaryan Harshith
Undergraduate, Bioengineering
BioFirst-year undergraduate student and aspiring Bioengineering major. Originally from Sudbury, Canada.
Among many things, I'm fascinated by structural virology, medical device development, and the cancerous extracellular matrix. Currently, I'm running a project to develop a novel, broad-spectrum Hepatitis E vaccine at Stanford.
Website: https://aaryanharshith.com -
Eric Abdulaziz
Masters Student in Mechanical Engineering, admitted Autumn 2023
Bio→ HCP Graduate Mechanical Engineering part time student. Full time Mechanical Engineer at Intuitive Surgical.
→ Bachelors in Mechanical Engineering at the University of California, Irvine.
→ Grew an interest in the medical device field through self led research in developing a prosthetic for a user with a congenital limb deficiency of the hand.
→ Later grew passionate about Minimally Invasive Surgery through industry experience in Neuroendovascular Surgery.
→ Strongly believe that Minimally Invasive Surgical Robotics is an imperative step to catalyzing a paradigm shift in significantly improving patient outcomes and broadening scope of impact. -
Muhammad Abdulla
Ph.D. Student in Electrical Engineering, admitted Autumn 2022
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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Monther Abu-Remaileh
Assistant Professor of Chemical Engineering and of Genetics
Current Research and Scholarly InterestsWe study the role of the lysosome in metabolic adaptation using subcellular omics approaches, functional genomics and innovative biochemical tools. We apply this knowledge to understand how lysosomal dysfunction leads to human diseases including neurodegeneration, cancer and metabolic syndrome.
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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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Ehsan Adeli
Assistant Professor (Research) of Psychiatry and Behavioral Sciences (Public Mental Health and Populations Sciences) and, by courtesy, of Computer Science and of Biomedical Data Science
Current Research and Scholarly InterestsMy research lies in the intersection of Machine Learning, Computer Vision, Healthcare, Ambient Intelligence, and Computational Neuroscience.
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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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Alex Aiken
Alcatel-Lucent Professor of Communications and Networking, Professor of Particle Physics and Astrophysics, and of Photon Science
BioAlex Aiken is the Alcatel-Lucent Professor of Computer Science at Stanford. Alex received his Bachelors degree in Computer Science and Music from Bowling Green State University in 1983 and his Ph.D. from Cornell University in 1988. Alex was a Research Staff Member at the IBM Almaden Research Center (1988-1993) and a Professor in the EECS department at UC Berkeley (1993-2003) before joining the Stanford faculty in 2003. His research interest is in areas related to programming languages.
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Izoduwa Aimiuwu
Ph.D. Student in Chemical Engineering, admitted Autumn 2023
BioI am a member of Dr. Jagjit Nanda's battery lab at the SLAC-Stanford Battery Center. My research primarily focuses on electrochemical performance of DRX-based lithium-ion batteries by optimizing slurry processing techniques for large-scale applications.
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Raag Airan
Associate Professor of Radiology (Neuroimaging and Neurointervention) and, by courtesy, of Materials Science & Engineering and of Psychiatry and Behavioral Sciences
Current Research and Scholarly InterestsOur goal is to develop and clinically implement new technologies for high-precision and noninvasive intervention upon the nervous system. Every few millimeters of the brain is functionally distinct, and different parts of the brain may have counteracting responses to therapy. To better match our therapies to neuroscience, we develop techniques that allow intervention upon only the right part of the nervous system at the right time, using technologies like focused ultrasound and nanotechnology.
