School of Engineering
Showing 4,661-4,680 of 7,045 Results
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Peter Pinsky
Professor of Mechanical Engineering, Emeritus
BioPinsky works in the theory and practice of computational mechanics with a particular interest in multiphysics problems in biomechanics. His work uses the close coupling of techniques for molecular, statistical and continuum mechanics with biology, chemistry and clinical science. Areas of current interest include the mechanics of human vision (ocular mechanics) and the mechanics of hearing. Topics in the mechanics of vision include the mechanics of transparency, which investigates the mechanisms by which corneal tissue self-organizes at the molecular scale using collagen-proteoglycan-ion interactions to explain the mechanical resilience and almost perfect transparency of the tissue and to provide a theoretical framework for engineered corneal tissue replacement. At the macroscopic scale, advanced imaging data is used to create detailed models of the 3-D organization of collagen fibrils and the results used to predict outcomes of clinical techniques for improving vision as well as how diseased tissue mechanically degrades. Theories for mass transport and reaction are being developed to model metabolic processes and swelling in tissue. Current topics in the hearing research arena include multiscale modeling of hair-cell mechanics in the inner ear including physical mechanisms for the activation of mechanically-gated ion channels. Supporting research addresses the mechanics of lipid bilayer cell membranes and their interaction with the cytoskeleton. Recent past research topics include computational acoustics for exterior, multifrequency and inverse problems; and multiscale modeling of transdermal drug delivery. Professor Pinsky currently serves as Chair of the Mechanics and Computation Group within the Department of Mechanical Engineering at Stanford.
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Grigore Pintilie
Research Scientist
BioYork University, B.Sc. 1995-1999, Computer Science - Computer Graphics, HCI
University of Toronto, M.Sc. 1999-2001, Computer Science, Computer Graphics
Blueprint Initiative, 2001-2005 - Bioinformatics Research
MIT, Ph.D. 2005-2011 - Electrical Engineering and Computer Science, Biology - CryoEM map segmentation and fitting of atomic models
Baylor College of Medicine 2011-2017 - Scientific Programmer - Cryo-EM map analysis and atomic modeling
Stanford University 2017-present - Research Scientist - Cryo-EM map analysis and atomic modeling -
Gordon Pipa
Visiting Professor, Bioengineering
BioGordon Pipa is a visiting Professor at Stanford. His research is focused on understanding the principles of neuronal coding and learning in spiking recurrent neuronal networks with the goal to enable building future neuromorphic AI systems. A main focus is on understanding the dendritic information processing in the context of the large spiking neuronal networks. In the past, he held position at the Max-Planck for Brain Research (Wolf Singer), MIT (Emery Brown), TU Berlin (Klaus Obermayer).
He currently holds the following positions: Visiting Professor at Stanford, Bioengineering, Chair of the Neuroinformatics Dep., Institute of Cognitive Science at the Osnabrück University (Germany), Director of the Institute of Cognitive Science at the Osnabrück University (Germany), Fellow at the Frankfurt Institute of Advanced Studies (Germany) -
Serge Plotkin
Associate Professor of Computer Science, Emeritus
BioPlotkin's focus is on optimization problems that are encountered in the context of design, management, and maintenance of broadband communication networks. Currently his main effort in this area is concentrated on development of algorithms for network topology design, routing, capacity sizing, server placement, and fair resource allocation. His goal is to develop both offline strategies that can be used during network design stage, as well as online strategies that can be applied to optimize existing network infrastructure.
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Jim Plummer
John M. Fluke Professor of Electrical Engineering and Professor, by courtesy, of Materials Science and Engineering
Current Research and Scholarly InterestsGenerally studies the governing physics and fabrication technology of silicon integrated circuits, including the scaling limits of silicon technology, and the application of silicon technology outside traditional integrated circuits, including power switching devices such as IGBTs. Process simulation tools like SUPREM for simulating fabrication. Recent work has focused on wide bandgap semiconductor materials, particularly SiC and GaN, for power control devices.
