School of Engineering
Showing 481-490 of 689 Results
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Rebecca Pinals
Assistant Professor of Chemical Engineering
BioThe brain is a fascinatingly complex and delicate system of biomolecules, cells, and dynamic interactions that must be carefully maintained to support human health. When this balance is disrupted, disease can arise. Neurodegenerative dementias including Alzheimer’s disease are highly prevalent and profoundly devastating, yet remain largely untreatable or incurable.
The Pinals Lab engineers neuro-models and nano-tools to uncover mechanisms of neurodegenerative disease and intervene to halt—and even reverse—disease progression. A particular emphasis of our work is on the blood–brain barrier (BBB), the vascular interface that serves as the molecular gateway into the brain. We leverage human induced pluripotent stem cells (iPSCs) to build 3D cellular systems, providing a platform to recapitulate human brain properties and pathologies. In parallel, we design nanoparticles to report on real-time neurochemical processes, enabling unprecedented access to dynamic and spatially resolved biomolecular phenomena, and to modulate disease states. By integrating advanced human brain tissue models with rationally designed nanotechnologies, we aim to generate fundamental insights and tools that translate into meaningful impacts for human health. -
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 -
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, Emeritus
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.
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Kilian M Pohl
Professor (Research) of Psychiatry and Behavioral Sciences (Major Labs and Incubator) and, by courtesy, of Electrical Engineering
Current Research and Scholarly InterestsThe foundation of the laboratory is computational science aimed at identifying biomedical phenotypes improving the mechanistic understanding, diagnosis, and treatment of neuropsychiatric disorders. The biomedical phenotypes are discovered by unbiased, machine learning-based searches across biological, neuroimaging, and neuropsychological data. This data-driven discovery currently supports the adolescent brain research of the NIH-funded National Consortium on Alcohol and NeuroDevelopment in Adolescence (NCANDA). The laboratory also investigates brain patterns specific to alcohol use disorder, depression, and the human immunodeficiency virus (HIV) across the adult age range, and have advanced the understanding of a variety of brain diseases including schizophrenia, Alzheimer’s disease, glioma, and aging.
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Ada Poon
Associate Professor of Electrical Engineering
Current Research and Scholarly InterestsOur research focuses on providing theoretical foundations and engineering platforms for realizing electronics that seamlessly integrate with the body. Such systems will allow precise recording or modulation of physiological activity, for advancing basic scientific discovery and for restoring or augmenting biological functions for clinical applications.
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Eric Pop
Pease-Ye Professor, Professor of Electrical Engineering, Senior Fellow at the Precourt Institute for Energy and Professor, by courtesy, of Materials Science and Engineering and of Applied Physics
Current Research and Scholarly InterestsThe Pop Lab explores problems at the intersection of nanoelectronics and nanoscale energy conversion. These include fundamental limits of current and heat flow, energy-efficient transistors and memory, and energy harvesting via thermoelectrics. The Pop Lab also works with novel nanomaterials like carbon nanotubes, graphene, BN, MoS2, and their device applications, through an approach that is experimental, computational and highly collaborative.
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J David Powell
Professor of Aeronautics and Astronautics and of Mechanical Engineering, Emeritus
BioEDUCATION:
1960 - B.S. Mechanical Engineering, M.I.T.
1966 - M.S. Aeronautics & Astronautics, Stanford
1970 - Ph.D. Aeronautics & Astronautics, Stanford
EXPERIENCE:
1960-1961 - Engine Design and Testing Engineer at Outboard Marine Corp.
1961-1967 – Engineer at Lockheed in the field of Aerospace Guidance and Control
1967-1968 – Engineer at Analytical Mechanics Associates
1968-1970 – Engineer, Systems Control, Inc. Parameter ID of aircraft models from flight data, automatic generation of approach paths for Air Traffic Control. Attended Stanford University specializing in control systems.
1971 – 1998 – Member of the Stanford Faculty in the Aeronautics and Astronautics Department. His research has included spacecraft pointing, space tether dynamics and control, internal combustion engine control, the design of aerospace digital flight control systems, GPS-based attitude determination augmented with inertial sensors, and the use of GPS for air and land vehicle surveillance and navigation. He taught courses in aerospace control including radio and inertial navigation, optimization and digital implementations and is a coauthor of two of the leading control textbooks. He is also an author or coauthor on over 100 papers.
1998 – present – Emeritus faculty carrying out research in Aeronautics and Astronautics at Stanford Univ. Recent focus of research is the use of GPS-based attitude determination augmented with inertial sensors, applications of the FAA’s WAAS for enhanced pilot displays, flight inspection of aircraft landing systems, and the use of WAAS and new displays to enable closer spacing of parallel runways.
SOCIETY MEMBERSHIPS
AIAA (Fellow), ASME (Fellow), SAE, IEEE, ION
CONSULTANT TO: (over past several years)
Seagull Technology
Sequoia Instruments
Engine Control and Monitoring
Transparent Networks
Pratt and Whitney (Technical Advisory Committee)
Sensor Platforms
OTHER RECENT ACTIVITIES
Co-Founder, CEO, and Director of GyroSat Corp. 1999 – 2000
Director of Sequoia Instruments, 2001 – 2005
Aircraft owner and licensed instrument pilot
National Research Council Panel member for the review of NASA airspace activities, 2003
Board of Directors, Mechanics Bank, Richmond, CA., 2003 – 2015
Board of Directors, ExactBid, Inc. 2014-present. -
Balaji Prabhakar
VMware Founders Professor of Computer Science, Professor of Electrical Engineering and, by courtesy, of Operations, Information and Technology at the Graduate School of Business
BioPrabhakar's research focuses on the design, analysis, and implementation of data networks: both wireline and wireless. He has been interested in designing network algorithms, problems in ad hoc wireless networks, and designing incentive mechanisms. He has a long-standing interest in stochastic network theory, information theory, algorithms, and probability theory.