School of Engineering
Showing 401-500 of 537 Results
-
C. Karen Liu
Professor of Computer Science
BioC. Karen Liu is a professor in the Computer Science Department at Stanford University. Prior to joining Stanford, Liu was a faculty member at the School of Interactive Computing at Georgia Tech. She received her Ph.D. degree in Computer Science from the University of Washington. Liu's research interests are in computer graphics and robotics, including physics-based animation, character animation, optimal control, reinforcement learning, and computational biomechanics. She developed computational approaches to modeling realistic and natural human movements, learning complex control policies for humanoids and assistive robots, and advancing fundamental numerical simulation and optimal control algorithms. The algorithms and software developed in her lab have fostered interdisciplinary collaboration with researchers in robotics, computer graphics, mechanical engineering, biomechanics, neuroscience, and biology. Liu received a National Science Foundation CAREER Award, an Alfred P. Sloan Fellowship, and was named Young Innovators Under 35 by Technology Review. In 2012, Liu received the ACM SIGGRAPH Significant New Researcher Award for her contribution in the field of computer graphics.
-
Nelson F. Liu
Ph.D. Student in Computer Science, admitted Autumn 2019
BioSee my personal website for more information: http://nelsonliu.me
-
Irene Lo
Assistant Professor of Management Science and Engineering
BioIrene is an assistant professor in Management Science & Engineering at Stanford University. Her research is on designing matching markets and assignment processes to improve market outcomes, with a focus on public sector applications and socially responsible operations research. She is also interested in mechanism design for social good and graph theory.
-
Michael LoCascio
Ph.D. Student in Civil and Environmental Engineering, admitted Winter 2022
BioMichael's work focuses on wind energy at the intersection of computational fluid dynamics, controls, and optimization. He is interested in wake modeling, wind farm layout optimization, and large eddy simulations of wind farm flows. He is currently working on a low-cost model for the annual energy production of wind farms. Michael is also a graduate researcher at the National Wind Technology Center, a research facility of the National Renewable Energy Laboratory. He received his Master of Science in Mechanical Engineering from Stanford in 2023 and his Bachelor of Science in Mechanical Engineering from UCLA in 2020.
-
Dr. Michael T. Longaker
Deane P. and Louise Mitchell Professor in the School of Medicine and Professor, by courtesy, of Materials Science and Engineering
Current Research and Scholarly InterestsWe have six main areas of current interest: 1) Cranial Suture Developmental Biology, 2) Distraction Osteogenesis, 3) Fibroblast heterogeneity and fibrosis repair, 4) Scarless Fetal Wound Healing, 5) Skeletal Stem Cells, 6) Novel Gene and Stem Cell Therapeutic Approaches.
-
Amory B Lovins
Adjunct Professor
BioPhysicist Amory Lovins (1947– ) is Cofounder (1982) and Chairman Emeritus, and was Chief Scientist (2007–19), of RMI (Rocky Mountain Institute, www.rmi.org), with which he continues to collaborate. He has designed numerous superefficient buildings, vehicles, and industrial plants, and synthesized an "integrative design" method and practice that can make the energy efficiency resource severalfold larger, yet cheaper, often with increasing returns. Since 1973 he has also advised major firms and governments in >70 countries on advanced energy efficiency and strategy, emphasizing efficiency, renewables integration, and the links between energy, resources, environment, security, development, and economy. He is a Visiting Scholar of the Precourt Institute for Energy.
Lovins has received the Blue Planet, Volvo, Zayed, Onassis, Nissan, Shingo, and Mitchell Prizes, MacArthur and Ashoka Fellowships, 12 honorary doctorates, the Heinz, Lindbergh, Right Livelihood, National Design, and World Technology Awards, many other energy and environment recognitions, and Germany’s highest civilian honor (the Officer’s Cross of the Order of Merit). A Harvard and Oxford dropout, former Oxford don, honorary US architect, Swedish engineering academician, and 2011–18 member of the US National Petroleum Council, he has taught at ten universities—most recently the US Naval Postgraduate School and Stanford (spring 2007 MAP/Ming Visiting Professor, half-time 2020– Adjunct Professor of Civil and Environmental Engineering in his teaching terms)—teaching only subjects he hasn’t formally studied, so as to cultivate beginner’s mind. In 2009, Time named him one of the world’s 100 most influential people, and Foreign Policy, one of the 100 top global thinkers. His most recent books, mostly coauthored, include Natural Capitalism (1999), Small Is Profitable (2002), Winning the Oil Endgame (2004), The Essential Amory Lovins (2011), and Reinventing Fire (2011). His avocations include fine-art landscape photography (the profession of his wife Judy Hill Lovins, www.judyhill.com), music, writing, orangutans, great-ape language, linguistics, and Taoist thought.
COURSES: Lovins and Dr. Joel Swisher PE, as CEE Adjunct Professors in teaching quarters, cotaught in 2023 iterations 9–10 of their flagship course applying whole-system thinking and integrative design for radical energy efficiency and profitable climate solutions: CEE 107R, CEE 207R: "E^3: Extreme Energy Efficiency." They will next offer it in Winter and Spring Quarters 2024.
PUBLICATIONS
Lovins has authored 31 books and over 880 papers in a wide range of disciplines. His recent peer-reviewed papers include:
"How big is the energy efficiency resource?," Env. Res. Ltrs., Sep 2018, https://doi.org/10.1088/1748-9326/aad965
"Recalibrating climate prospects," coauthored, Env. Res. Ltrs., Dec 2019, https://doi.org/10.1088/1748-9326/ab55ab
"Can a virus and viral ideas speed the world's journey beyond fossil fuels?," with K. Bond, Env. Res. Ltrs., Feb 2021, https://doi.org/10.1088/1748-9326/abc3f2
"Reframing automotive fuel efficiency," SAE J-STEEP, Apr 2020, https://doi.org/10.4271/13-01-01-0004
His Aug/Sep 2020 Electricity Journal interview on the future of electricity is at https://doi.org/10.1016/j.tej.2020.106827.
His 11 Nov 2020 Precourt Institute for Energy seminar on "Integrative Design for Radical Energy Efficiency," with Dr. Holmes Hummel, is at https://energy.stanford.edu/events/special-energy-seminar-amory-lovins-holmes-hummel.
Profitably abating heavy transport and industrial heat: https://www.rmi.org/profitable-decarb/ and ($6.95 paywall) https://sloanreview.mit.edu/article/decarbonizing-our-toughest-sectors-profitably/, both 2021.
“US nuclear power: status, prospects, and climate implications,” El. J., 6 May 2022, https://doi.org/10.1016/j.tej.2022.107122. -
Samuel Low
Ph.D. Student in Aeronautics and Astronautics, admitted Winter 2023
BioSamuel Low is a Ph.D. candidate in the Stanford Space Rendezvous Laboratory, advised by Professor Simone D'Amico. Sam graduated from Stanford with an M.S. in Aeronautics and Astronautics (2023) and from the Singapore University of Technology and Design (SUTD) with a B.Sc. in Engineering Product Development (2018). His broad interests are in the guidance, navigation, control and autonomy of distributed space systems, such as formations and swarm satellites. His research focus is on enabling precise and robust state estimation between distributed spacecraft, centered on sensor/data fusion with carrier phase differential GNSS, with immediate applications to flight missions such as the VISORS and SWARM-EX missions. He had worked previously in DSO National Laboratories, Singapore, on space mission design and on developing navigation algorithms for Singapore's first formation flying satellite mission. He received the DSO Postgraduate Fellowship (2021), the Tan Kah Kee Postgraduate Scholarship (2021), the DSO SOAR Scholarship (2017), and the Asian Leadership Program Scholarship (2015-2018) jointly awarded by SUTD and Zhejiang University. In his spare time, he enjoys photography, painting, and outdoor activities.
-
Lu Lu
Postdoctoral Scholar, Mechanical Engineering
BioLu Lu is a postdoctoral fellow of Mechanical Engineering at Stanford University. Lu received his bachelor degree from Ningbo University in China in June 2014, and obtained his doctoral degree from Shanghai University in China in December 2019. During July 2020 to June 2022, he was a postdoctoral fellow at Peking University in China. Lu’s research interests focus on micro-/nano-mechanics and origami mechanics and design.
-
David Luckham
Professor (Research) of Electrical Engineering, Emeritus
BioProfessor (Research) Emeritus of Electrical Engineering.
Research Professor of Electrical Engineering, Stanford University, 1977 to 2003.
Vinton Hayes Senior Research Fellow, Harvard University, 1976.
Senior Research Associate, Stanford Artificial Intelligence Laboratory, 1972-1977.
Associate Professor, UCLA Computer Science Department, 1970-1972.
Professor Luckham's research and consulting activities in software technology include multi-processing and business processing languages, event-driven systems, complex event processing, commercial middleware, program verification, systems architecture modelling and simulation, and artificial intelligence (automated deduction and reasoning systems).
Prof. Luckham has held faculty and invited faculty positions in both mathematics and computer science at eight major universities in Europe and the United States. He has been an invited lecturer, keynote speaker, panelist, and USA delegate at many international conferences and congresses. Until 1999 he was a member of the Computer Systems Laboratory, Stanford University and directed the Program Analysis and Verification Project. He taught courses on Artifical Intelligence and automated deduction, programming languages and program verification, the Anna verification system, systems prototyping and simulation languages, and Complex Event Processing. He was one of the founders of Rational Software, Inc. in 1981.
In the past he has served on review committees during the DoD Ada Language design competition, and was a Distinguished Reviewer on the DoD Ada9X design project. In 1993-94 he was a member of the TRW Independent Assessment Team tasked with reviewing the FAA's Advanced Automation System for the FAA, and in 1994-96 he was a distinguished reviewer for the DoD High Level Language for modelling and simulation. He has published four books and over 100 technical papers; two ACM/IEEE Best Paper Awards, several papers are now in historical anthologies and book collections. His 2002 book is a benchmark introduction to complex event processing, "The Power of Events" . His 2012 book , "Event Processing for Business" documents current applications of Complex Event Processing in many areas of Information Technology. -
David Luenberger
Professor of Management Science and Engineering, Emeritus
BioDavid G. Luenberger received the B.S. degree from the California Institute of Technology and the M.S. and Ph.D. degrees from Stanford University, all in Electrical Engineering. Since 1963 he has been on the faculty of Stanford University. He helped found the Department of Engineering-Economic Systems, now merged to become the Department of Management Science and Engineering, where his is currently a professor.
He served as Technical Assistant to the President's Science Advisor in 1971-72, was Guest Professor at the Technical University of Denmark (1986), Visiting Professor of the Massachusetts Institute of Technology (1976), and served as Department Chairman at Stanford (1980-1991).
His awards include: Member of the National Academy of Engineering (2008), the Bode Lecture Prize of the Control Systems Society (1990), the Oldenburger Medal of the American Society of Mechanical Engineers (1995), and the Expository Writing Award of the Institute of Operations Research and Management Science (1999) He is a Fellow of the Institute of Electrical and Electronic Engineers (since 1975).
Interests:
His overall interest is the application of mathematics to issues in control, planning, and decision making. He has worked in the technical fields of control theory, optimization theory and algorithms, and investment theory for portfolios and project evaluation. He has published six major textbooks: Optimization by Vector Space Methods, Linear and Nonlinear Programming (jointly with Yinyu Ye), Introduction to Dynamic Systems, Microeconomic theory, Investment Science, and Information Science. He has published over eighty journal papers.
