School of Engineering
Showing 2,861-2,880 of 6,563 Results
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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.
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Mykel Kochenderfer
Associate Professor of Aeronautics and Astronautics, Senior Fellow at the Stanford Institute for Human-Centered AI and Associate Professor, by courtesy, of Computer Science
BioMykel Kochenderfer is Associate Professor of Aeronautics and Astronautics at Stanford University. Prior to joining the faculty, he was at MIT Lincoln Laboratory where he worked on airspace modeling and aircraft collision avoidance, with his early work leading to the establishment of the ACAS X program. He received a Ph.D. from the University of Edinburgh and B.S. and M.S. degrees in computer science from Stanford University. Prof. Kochenderfer is the director of the Stanford Intelligent Systems Laboratory (SISL), conducting research on advanced algorithms and analytical methods for the design of robust decision making systems. Of particular interest are systems for air traffic control, unmanned aircraft, and other aerospace applications where decisions must be made in uncertain, dynamic environments while maintaining safety and efficiency. Research at SISL focuses on efficient computational methods for deriving optimal decision strategies from high-dimensional, probabilistic problem representations. He is an author of "Decision Making under Uncertainty: Theory and Application" (2015), "Algorithms for Optimization" (2019), and "Algorithms for Decision Making" (2022), all from MIT Press. He is a third generation pilot.
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Soo Wei Koh
Graduate, Stanford Center for Professional Development
Biohttps://github.com/soowei-su/
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Erik Kolderup
Adjunct Lecturer, Civil and Environmental Engineering
BioErik Kolderup is a consulting engineer focusing on building energy efficiency. He served as Vice President of Eley Associates and Associate Principal at Architectural Energy Corporation in San Francisco, before starting Kolderup Consulting in 2007. He holds degrees in electrical engineering (BS 1985, MS 1986) and industrial engineering (MS 1990) from Stanford and is an ASHRAE-certified Building Energy Modeling Professional.
Please see also www.kolderupconsulting.com. -
Julie Kolesar
Research Engineer
BioJulie Kolesar is a Research Engineer in the Human Performance Lab, supporting teaching and interdisciplinary research at the crossroads of engineering, sports medicine, and athletics. Her work aims to understand the underlying mechanisms relating biomechanical changes with function and quality of life for individuals with musculoskeletal disorders and injuries. As part of the Wu Tsai Human Performance Alliance, Dr. Kolesar engages in collaborations which seek to optimize human health and performance across the lifespan. Her expertise and research interests include experimental gait analysis, musculoskeletal modeling and simulation, and clinical interventions and rehabilitation.
