School of Engineering
Showing 1,101-1,200 of 1,781 Results
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Kunle Olukotun
Cadence Design Systems Professor, Professor of Electrical Engineering and of Computer Science
BioKunle Olukotun is the Cadence Design Professor of Electrical Engineering and Computer Science at Stanford University. Olukotun is a pioneer in multicore processor design and the leader of the Stanford Hydra chip multiprocessor (CMP) research project. He founded Afara Websystems to develop high-throughput, low-power multicore processors for server systems. The Afara multi-core processor, called Niagara, was acquired by Sun Microsystems and now powers Oracle's SPARC-based servers. In 2017, Olukotun co-founded SambaNova Systems, a Machine Learning and Artificial Intelligence company, and continues to lead as their Chief Technologist.
Olukotun is the Director of the Pervasive Parallel Lab and a member of the Data Analytics tor What's Next (DAWN) Lab, developing infrastructure for usable machine learning. He is a member of the National Academy of Engineering, an ACM Fellow, and an IEEE Fellow for contributions to multiprocessors on a chip design and the commercialization of this technology. He also received the Harry H. Goode Memorial Award.
Olukotun received his Ph.D. in Computer Engineering from The University of Michigan. -
Abdulwahab Omira
Undergraduate, Computer Science
BioRobotics and Physics researcher interested in AI and advanced power generation systems. Focused on improving efficiency and output in multiple forms of genertation technologies, including renewable, thermal, and chemical. Owner of four patents in nuclear waste processing, disposal, and solar power systems with developing projects in medical and other commercial robotic applications.
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John Ousterhout
Leonard Bosack and Sandy K. Lerner Professor of Engineering and Professor of Computer Science, Emeritus
Current Research and Scholarly InterestsOusterhout's research ranges across a variety of topics in system software, software development tools, and user interfaces. His current research is in the area of granular computing: new software stack layers that allow the execution of large numbers of very small tasks (as short as a few microseconds) in a datacenter. Current projects are developing new techniques for thread management, network communication, and logging.
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Joon Sung Park
Affiliate, Program-Bernstein, M.
BioJoon Sung Park is a computer science PhD student in the Human-Computer Interaction and Natural Language Processing groups at Stanford University. His work introduces the concept of, and the techniques for building generative agents -- computational software agents that simulate human behavior. His work has won best paper awards at UIST and CHI, as well as multiple best paper nominations and other paper awards at CHI, CSCW, and ASSETS, and has been reported in venues such as Nature, Science, NBC, The New York Times, The Times, and The Guardian. Joon is recognized with the Microsoft Research Ph.D. Fellowship (2022), Terry Winograd Fellowship (2021), and Siebel Scholar Award (2019).
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Akshay Paruchuri
Postdoctoral Scholar, Computer Science
BioI'm a computer scientist by training. For most of my career, I've built and evaluated AI systems to improve health and well-being. I currently focus on multidisciplinary measurement of AI systems at the Center for AI Standards and Innovation (CAISI) within the National Institute of Standards and Technology (NIST). I work on the Applied Systems team led by Stevie Bergman.
I also remain a postdoctoral scholar at Stanford University, working with Sanmi Koyejo and Ehsan Adeli on building and evaluating multimodal AI systems. -
Roy Pea
Director, H-STAR, David Jacks Professor of Education and Professor, by courtesy, of Computer Science
Current Research and Scholarly Interestslearning sciences focus on advancing theories, research, tools and social practices of technology-enhanced learning of complex domains
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Carrie Petersen
Adm Assoc 3, Computer Science
Current Role at StanfordFaculty Administrator
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Serge Plotkin
Associate Professor of Computer Science, Emeritus
BioPlotkin's focus is on optimization problems that are encountered in the context of design, management, and maintenance of broadband communication networks. Currently his main effort in this area is concentrated on development of algorithms for network topology design, routing, capacity sizing, server placement, and fair resource allocation. His goal is to develop both offline strategies that can be used during network design stage, as well as online strategies that can be applied to optimize existing network infrastructure.
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Balaji Prabhakar
VMware Founders Professor of Computer Science, Professor of Electrical Engineering and, by courtesy, of Operations, Information and Technology at the Graduate School of Business
BioPrabhakar's research focuses on the design, analysis, and implementation of data networks: both wireline and wireless. He has been interested in designing network algorithms, problems in ad hoc wireless networks, and designing incentive mechanisms. He has a long-standing interest in stochastic network theory, information theory, algorithms, and probability theory.
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Xiaojie Qiu
Assistant Professor of Genetics and, by courtesy, of Computer Science
Current Research and Scholarly InterestsAt the Qiu Lab, our mission is to unravel and predict the intricacies of gene regulatory networks and cell-cell interactions pivotal in mammalian cell fate transitions over time and space, with a special emphasis on heart evolution, development, and disease. We are a dynamic and interdisciplinary team, harnessing the latest advancements in machine learning as well as single-cell and spatial genomics by integrating the predictive power of systems biology with the scalability of machine learning,
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Julian Quevedo
Ph.D. Student in Computer Science, admitted Autumn 2026
BioResearcher at Stanford broadly interested in deep learning and the brain.
https://julian-q.github.io/ -
Fauzan Rahman
Undergraduate, Computer Science
Biodepression cant hit a target w motion
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Priyanka Raina
Associate Professor of Electrical Engineering and, by courtesy, of Computer Science
Current Research and Scholarly InterestsFor Priyanka's research please visit her group research page at https://stanfordaccelerate.github.io
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Ashwin Ramaswami
Affiliate, Program-Liang, P.
BioAshwin is currently CTO and Co-founder at Corridor, a startup using AI to help security teams fix vulnerabilities at scale. With a CS degree at Stanford and law degree at Georgetown, Ashwin worked in the federal government at CISA on cybersecurity and election security. https://ashwin.run/
