School of Engineering
Showing 2,801-2,820 of 6,464 Results
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Salma Kirsch
Executive Director of Affiliate Engagement, ICME Affiliates and External Partners
BioExecutive Director of the ICME affiliate program
Responsible for fostering collaboration between the ICME and industry, developing strategic partnerships and navigating research collaborations that transform cutting-edge ideas into real-world applications.
Background spanning high tech, telecommunications, utilities, and consumer products, with each role involving developing strategic partnerships and hands-on innovation.
Past Experiences:
ThinFilm Electronics (Director, Strategic Alliances)
Swiss Federal Institute of Technology (Technology Transfer Officer)
VenTek International (Co-Founder and Director, Business Development)
Arthur Andersen - Business Consulting (Senior Manager)
Motorola (Technology Manager)
Education:
B.S. in Computer Science (Swiss Federal Institute of Technology, Lausanne, Switzerland)
M.S. in Computer Science (Swiss Federal Institute of Technology, Lausanne, Switzerland) -
Peter K. Kitanidis
Professor of Civil and Environmental Engineering
BioKitanidis develops methods for the solution of interpolation and inverse problems utilizing observations and mathematical models of flow and transport. He studies dilution and mixing of soluble substances in heterogeneous geologic formations, issues of scale in mass transport in heterogeneous porous media, and techniques to speed up the decay of pollutants in situ. He also develops methods for hydrologic forecasting and the optimization of sampling and control strategies.
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Meo Kittiwanich
Director of Student and Academic Affairs, Electrical Engineering - Student Services
Current Role at StanfordDirector of Student and Academic Service in the Electrical Engineering Department.
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Fredrik Kjolstad
Assistant Professor of Computer Science
BioFredrik Kjolstad is an Assistant Professor in Computer Science at Stanford University. He works on topics in compilers, programming models, and systems, with an emphasis on compiler techniques that make high-level languages portable. He has received the NSF CAREER Award, the MIT EECS Sprowls PhD Thesis Award in Computer Science, the Tau Beta Phi 2024 Teaching Honor Roll, the Google ML and Systems Junior Faculty Awards, and several distinguished paper awards.
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Donald Knuth
Fletcher Jones Professor of Computer Science, Emeritus
BioDonald Ervin Knuth is an American computer scientist, mathematician, and Professor Emeritus at Stanford University.
He is the author of the multi-volume work The Art of Computer Programming and has been called the "father" of the analysis of algorithms. He contributed to the development of the rigorous analysis of the computational complexity of algorithms and systematized formal mathematical techniques for it. In the process he also popularized the asymptotic notation. In addition to fundamental contributions in several branches of theoretical computer science, Knuth is the creator of the TeX computer typesetting system, the related METAFONT font definition language and rendering system, and the Computer Modern family of typefaces.
As a writer and scholar,[4] Knuth created the WEB and CWEB computer programming systems designed to encourage and facilitate literate programming, and designed the MIX/MMIX instruction set architectures. As a member of the academic and scientific community, Knuth is strongly opposed to the policy of granting software patents. He has expressed his disagreement directly to the patent offices of the United States and Europe. (via Wikipedia) -
Yun-Dam Ko
Ph.D. Student in Civil and Environmental Engineering, admitted Autumn 2024
BioYun-Dam Ko's research focuses on combining data-driven solutions with building physics to enhance the sustainability of the urban built environment. His recent work leverages AI to optimize building energy performance, with a specific focus on intelligent HVAC system control and advanced Building Energy Modeling. Bridging research and practice, he previously worked at a startup where he developed and deployed AI solutions to improve building energy efficiency at scale.
