School of Engineering
Showing 3,111-3,120 of 5,753 Results
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Zachary Manchester
Assistant Professor of Aeronautics and Astronautics
BioZac Manchester is Assistant Professor of Aeronautics and Astronautics at Stanford University, director of the Stanford Robotic Exploration Lab, a member of the Breakthrough Starshot advisory committee, and founder of the KickSat project. He holds a Ph.D. in aerospace engineering and a B.S. in applied physics from Cornell University. Zac has previously worked at Harvard University, NASA Ames Research Center, and Analytical Graphics, Inc. His research interests include motion planning, control, and optimization with application to spacecraft, and robotics.
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Ali Mani
Associate Professor of Mechanical Engineering
BioOur research is broadly defined by multiphysics problems in fluid dynamics and transport engineering. Our work contributes to the understanding of these problems primarily through theoretical tools such as techniques of applied mathematics as well as massively-parallel simulations. Numerical simulations enable quantitative visualization of the detailed physical processes which can be difficult to detect experimentally. They also provide quantitative data that guide the development of reduced-order models, which would naturally induce insight for design, optimization and control. Most of our work involves complementary interactions with experimental groups within and outside of Stanford. Specific current research topics include:
(1) Electro-convection and microscale chaos near electrochemical interfaces
(2) Particle-laden flows with applications in solar receivers
(3) Applications of superhydrophobic surfaces for drag reduction of turbulent flows
(4) Micro-bubble generation by breaking waves
(5) Electrokinetics of micropores and nanopores -
Christopher Manning
Thomas M. Siebel Professor in Machine Learning, Professor of Linguistics and of Computer Science
BioChristopher Manning is a professor of computer science and linguistics at Stanford University and Director of the Stanford Artificial Intelligence Laboratory. He works on software that can intelligently process, understand, and generate human language material. He is a leader in applying Deep Learning to Natural Language Processing, including exploring Tree Recursive Neural Networks, neural network dependency parsing, the GloVe model of word vectors, neural machine translation, question answering, and deep language understanding. He also focuses on computational linguistic approaches to parsing, robust textual inference and multilingual language processing, including being a principal developer of Stanford Dependencies and Universal Dependencies. Manning is an ACM Fellow, a AAAI Fellow, an ACL Fellow, and a Past President of ACL. He has coauthored leading textbooks on statistical natural language processing and information retrieval. He is a member of the Stanford NLP group (@stanfordnlp) and manages development of the Stanford CoreNLP software.
