School of Engineering
Showing 41-50 of 51 Results
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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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Christoforos Kozyrakis
Professor of Electrical Engineering and of Computer Science
BioChristos Kozyrakis is 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 leads the MAST research group. He is also the faculty director of the Stanford Platform Lab.
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. -
Renesmee Kuo
Ph.D. Student in Electrical Engineering, admitted Autumn 2022
Masters Student in Electrical Engineering, admitted Autumn 2023BioRenesmee Kuo is an Electrical Engineering PhD candidate at Stanford University supported by NSF GRFP. She focuses on preclinical PET imaging for neuroinflammatory diseases and cancer in Prof. Michelle James' lab. She graduated from UC Berkeley with a BS in Bioengineering. Her research interests lie at the intersection of engineering and medicine. At UC Berkeley, she worked in Prof. Steve Conolly's lab on Magnetic Particle Imaging (MPI). She focused on tracking CAR-T cells in immunotherapy using high-resolution MPI tracers. She also focused on using commercially available high-resolution MPI tracers for early diagnosis of Pulmonary Embolisms and Cardiovascular disease in preclinical settings.