School of Engineering
Showing 231-240 of 691 Results
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Christopher Gregg
Associate Professor (Teaching) of Computer Science
BioChris Gregg received his Ph.D. in Computer Engineering from the University of Virginia in 2012, has a Master's of Education from Harvard University (2002), and a BS in Electrical Engineering from Johns Hopkins University (1994). Prior to becoming a lecturer at Stanford, Chris was a lecturer in the computer science department at Tufts University, and prior to that he taught high school physics in Massachusetts and California for seven years. Chris was on active duty in the Navy for seven years, and remains as a Commander in the Navy Reserves in the Information Warfare / Cryptology community.
Chris's research interests include computer architecture (specifically, general purpose computing on GPUs) and the pedagogy of computer science teaching and instruction. -
Peter Griffin
Senior Research Engineer, Electrical Engineering
BioPeter Griffin is an expert in microfabrication, having co-authored one of the most widely used textbooks in the area. A new version titled “Integrated Circuit Fabrication – Science and Technology” co-authored with Prof. Jim Plummer will be published in early 2024 by Cambridge University press (https://plummergriffinbook.stanford.edu/). He is an electrical engineer by training with a BE and ME from University College Cork, Ireland and a PhD from Stanford University. He remained at Stanford as a research scientist. For the past two decades, he has performed interdisciplinary work at the Stanford Genome Technology Center (SGTC) with a particular emphasis on digital microfluidics. He is particularly interested in how technology can contribute to bioengineering and was the lead author on major DARPA, NIH and SRC grants in various application areas. Griffin has enjoyed long term collaborations with leading researchers on those interdisciplinary grants which has made his time at Stanford very productive. Griffin’s current interest is on impedance measurements for diagnostics in the laboratory of Prof. Lars Steinmetz at SGTC.
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Wendy Gu
Associate Professor of Mechanical Engineering and, by courtesy, of Materials Science and Engineering
BioThe Gu Group studies the mechanical behavior and advanced fabrication of metals and ceramics. Current areas of research include the mechanics of solid-state battery materials, soft magnetic alloys and composites, and structural alloys in extreme environments.
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Carlos Ernesto Guestrin
Fortinet Founders Professor and Senior Fellow at the Stanford Institute for Human-Centered AI
BioCarlos Guestrin is a Professor in the Computer Science Department at Stanford University. His previous positions include the Amazon Professor of Machine Learning at the Computer Science & Engineering Department of the University of Washington, the Finmeccanica Associate Professor at Carnegie Mellon University, and the Senior Director of Machine Learning and AI at Apple, after the acquisition of Turi, Inc. (formerly GraphLab and Dato) — Carlos co-founded Turi, which developed a platform for developers and data scientist to build and deploy intelligent applications. He is a technical advisor for OctoML.ai. His team also released a number of popular open-source projects, including XGBoost, LIME, Apache TVM, MXNet, Turi Create, GraphLab/PowerGraph, SFrame, and GraphChi.
Carlos received the IJCAI Computers and Thought Award and the Presidential Early Career Award for Scientists and Engineers (PECASE). He is also a recipient of the ONR Young Investigator Award, NSF Career Award, Alfred P. Sloan Fellowship, and IBM Faculty Fellowship, and was named one of the 2008 ‘Brilliant 10’ by Popular Science Magazine. Carlos’ work received awards at a number of conferences and journals, including ACL, AISTATS, ICML, IPSN, JAIR, JWRPM, KDD, NeurIPS, UAI, and VLDB. He is a former member of the Information Sciences and Technology (ISAT) advisory group for DARPA. -
Leonidas Guibas
Paul Pigott Professor of Engineering and Professor, by courtesy, of Electrical Engineering
Current Research and Scholarly InterestsGeometric and topological data analysis and machine learning. Algorithms for the joint analysis of collections of images, 3D models, or trajectories. 3D reconstruction.
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Pat Hanrahan
Canon Professor in the School of Engineering and Professor of Electrical Engineering, Emeritus
BioProfessor Hanrahan's current research involves rendering algorithms, high performance graphics architectures, and systems support for graphical interaction. He also has worked on raster graphics systems, computer animation and modeling and scientific visualization, in particular, volume rendering.
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Kari Hanson
Lecturer, Institute for Computational and Mathematical Engineering (ICME)
BioKari is a former technology executive with a passion for entrepreneurship, innovation, business strategy and making the world a better place. Having worked as a coach, investor, advisor, board member and CFO, she enjoys empowering students and entrepreneurs to thrive in life, the classroom and the marketplace.
