School of Engineering

Showing 1-10 of 35 Results

  • Sanjiv Sam Gambhir, MD, PhD

    Sanjiv Sam Gambhir, MD, PhD

    Virginia and D.K. Ludwig Professor for Clinical Investigation in Cancer Research and Professor, by courtesy, of Materials Science and Engineering

    Current Research and Scholarly InterestsMy laboratory focuses on merging advances in molecular biology with those in biomedical imaging to advance the field of molecular imaging. Imaging for the purpose of better understanding cancer biology and applications in gene and cell therapy, as well as immunotherapy are all being studied. A key long-term focus is the earlier detection of cancer by combining in vitro diagnostics and molecular imaging.

  • Hector Garcia-Molina

    Hector Garcia-Molina

    Leonard Bosack and Sandra K. Lerner Professor in the School of Engineering and Professor of Electrical Engineering, Emeritus

    BioGarcia-Molina's research interests include distributed computing systems, database systems, and digital libraries.

  • Michael Genesereth

    Michael Genesereth

    Associate Professor of Computer Science and, by courtesy, of Law

    BioGenesereth is best known for his work on computational logic and applications of that work in enterprise management and electronic commerce. Basic research interests include knowledge representation, automated reasoning, and rational action. Current projects include logical spreadsheets, data, and service integration on the World Wide Web, and computational law.

  • J. Christian Gerdes

    J. Christian Gerdes

    Professor of Mechanical Engineering and Senior Fellow at the Precourt Institute for Energy

    BioChris Gerdes is a Professor of Mechanical Engineering at Stanford University, Director of the Center for Automotive Research at Stanford (CARS) and Director of the Revs Program at Stanford. His laboratory studies how cars move, how humans drive cars and how to design future cars that work cooperatively with the driver or drive themselves. When not teaching on campus, he can often be found at the racetrack with students, instrumenting historic race cars or trying out their latest prototypes for the future. Vehicles in the lab include X1, an entirely student-built test vehicle, and Shelley, an Audi TT-S capable of turning a competitive lap time around the track without a human driver. Professor Gerdes and his team have been recognized with a number of awards including the Presidential Early Career Award for Scientists and Engineers, the Ralph Teetor award from SAE International and the Rudolf Kalman Award from the American Society of Mechanical Engineers.

  • Margot Gerritsen

    Margot Gerritsen

    Senior Associate Dean for Educational Initiatives, Professor of Energy Resources Engineering, Senior Fellow at the Precourt Institute for Energy and Professor, by courtesy, of Civil and Environmental Engineering

    Current Research and Scholarly InterestsResearch
    My work is about understanding and simulating complicated fluid flow problems. My research focuses on the design of highly accurate and efficient parallel computational methods to predict the performance of enhanced oil recovery methods. I'm particularly interested in gas injection and in-situ combustion processes. These recovery methods are extremely challenging to simulate because of the very strong nonlinearities in the governing equations. Outside petroleum engineering, I'm active in coastal ocean simulation with colleagues from the Department of Civil and Environmental Engineering, yacht research and pterosaur flight mechanics with colleagues from the Department of Mechanical and Aeronautical Engineering, and the design of search algorithms in collaboration with the Library of Congress and colleagues from the Institute of Computational and Mathematical Engineering.

    I teach courses in both energy related topics (reservoir simulation, energy, and the environment) in my department, and mathematics for engineers through the Institute of Computational and Mathematical Engineering (ICME). I also initiated two courses in professional development in our department (presentation skills and teaching assistant training), and a consulting course for graduate students in ICME, which offers expertise in computational methods to the Stanford community and selected industries.

    Professional Activities
    Senior Associate Dean, School of Earth, Energy and Environmental Sciences, Stanford (from 2015); Director, Institute for Computational and Mathematical Engineering, Stanford (from 2010); Stanford Fellow (2010-2012); Magne Espedal Professor II, Bergen University (2011-2014); Aldo Leopold Fellow (2009); Chair, SIAM Activity group in Geosciences (2007, present, reelected in 2009); Faculty Research Fellow, Clayman Institute (2008); Elected to Council of Society of Industrial and Applied Mathematics (SIAM) (2007); organizing committee, 2008 Gordon Conference on Flow in Porous Media; producer, Smart Energy podcast channel; Director, Stanford Yacht Research; Co-director and founder, Stanford Center of Excellence for Computational Algorithms in Digital Stewardship; Editor, Journal of Small Craft Technology; Associate editor, Transport in Porous Media; Reviewer for various journals and organizations including SPE, DoE, NSF, Journal of Computational Physics, Journal of Scientific Computing, Transport in Porous Media, Computational Geosciences; member, SIAM, SPE, KIVI, AGU, and APS

  • James F Gibbons

    James F Gibbons

    Professor (Research) of Electrical Engineering, Emeritus

    BioA pioneer in the use of ion implantation and rapid thermal process techniques for solid-state physics, Gibbons also conducts research into semiconductor device analysis, fabrication, and process physics. Current research is focused on the growth and processing of thin semiconductor films and nanostructures that offer potential for advanced semiconductor and optical device development.

  • Kay Giesecke

    Kay Giesecke

    Associate Professor of Management Science and Engineering

    Current Research and Scholarly InterestsKay is a financial engineer. He develops stochastic financial models, designs statistical methods for analyzing financial data, examines simulation and other numerical algorithms for solving the associated computational problems, and performs empirical analyses. Much of Kay's work is driven by important applications in areas such as credit risk management, investment management, and, most recently, housing finance.