School of Engineering
Showing 281-300 of 371 Results
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Yao Joseph Marie Jean Marcel Kouadio
Graduate, Management Science and Engineering
BioJoseph Kouadio is a graduate student in Management Science and Engineering at Stanford. He completed his undergraduate studies in Japan and Switzerland and is now building Zof.AI—an end-to-end AI-powered software testing and deployment platform. Joseph brings a global perspective, multilingual fluency, and a passion for deep tech and sustainability to his work at the intersection of innovation and impact.
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Ava Kouhana
Masters Student in Computational and Mathematical Engineering, admitted Autumn 2024
BioHi ! I am an ICME master's degree student at Stanford University. Prior to Stanford, I dedicated six months conducting research at Harvard under the supervision of Dr. Mengyu Wang, focusing primarily on Computer Vision tasks like Image Segmentation and Vision-Language Models. Before joining ICME , I have had the opportunity to work for six months supervised by Stanford Professor Craig Levin, researching the application of Diffusion Models for image super-resolution.
My research interests primarily revolve around computer vision, deep learning, and generative AI, with a growing interest for 3D modeling and video generation. -
Kalhan Koul
Affiliate, Program-Raina, P.
BioKalhan Koul is an EE Ph.D. student at Stanford University supervised by Prof. Priyanka Raina. Previously, he was a Digital Design Intern at Micron and Silicon Labs. He received a B.S. in Electrical Engineering Honors and a B.A. in Plan II Honors (Liberal Arts) from The University of Texas in 2018 and his M.S. in Electrical Engineering from Stanford University in 2021. During his PhD he has worked on three chip tapeouts. The first was Chimera, a DNN accelerator utilizing RRAM for low energy inference. The next was Amber, a coarse grained reconfigurable array (CGRA) optimized for image processing and machine learning applications. Finally, Kalhan led the tapeout of Onyx, a CGRA accelerating both dense and sparse kernels on the same fabric. His current research focuses on further improving the efficiency of the CGRA and extending its acceleration to end-to-end machine learning workloads.
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Gregory Kovacs
Professor of Electrical Engineering, Emeritus
Current Research and Scholarly InterestsHis present research areas include instruments for biomedical and biological applications including space flight, solid-state sensors and actuators, cell-based sensors for toxin detection and pharmaceutical screening, microfluidics, electronic interfaces to tissue, and biotechnology, all with emphasis on solving practical problems.
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Sanmi Koyejo
Assistant Professor of Computer Science
BioSanmi Koyejo is an Assistant Professor in the Department of Computer Science at Stanford University and an adjunct Associate Professor at the University of Illinois at Urbana-Champaign. He leads the Stanford Trustworthy AI Research (STAIR) lab, which develops measurement-theoretic foundations for trustworthy AI systems, spanning AI evaluation science, algorithmic accountability, and privacy-preserving machine learning, with applications to healthcare and scientific discovery. His research on AI capabilities evaluation has challenged conventional understanding in the field, including work on measurement frameworks cited in the 2024 Economic Report of the President.
Koyejo has received the Presidential Early Career Award for Scientists and Engineers (PECASE), Skip Ellis Early Career Award, Alfred P. Sloan Research Fellowship, NSF CAREER Award, and multiple outstanding paper awards at flagship venues, including NeurIPS and ACL. He has delivered keynote presentations at major conferences, including ECCV and FAccT. He serves in key leadership roles, including Board President of Black in AI, Board of Directors of the Neural Information Processing Systems Foundation, and other leadership positions in professional organizations advancing AI research and broadening participation in the field. -
Christoforos Kozyrakis
Leonard Bosack and Sandy K. Lerner Professor of Engineering and Professor of Computer Science
BioChristos Kozyrakis is the Leonard Bosack and Sandy K. Lerner Professor of Engineering and a Professor of Electrical Engineering and Computer Science at Stanford University. His primary research areas are computer architecture and computer systems. His current work focuses on cloud computing, systems for machine learning, and machine learning for systems.
Christos holds a BS degree from the University of Crete and a PhD degree from the University of California at Berkeley. He is a fellow of the ACM and the IEEE. He has received the ACM SIGARCH Maurice Wilkes Award, the ISCA Influential Paper Award, the NSF Career Award, the Okawa Foundation Research Grant, and faculty awards by IBM, Microsoft, and Google.
