School of Engineering


Showing 21-35 of 35 Results

  • Grigore Pintilie

    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

    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

    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.

  • Jim Plummer

    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.

  • Ada Poon

    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.

  • Eric Pop

    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.

  • J David Powell

    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

    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.

  • Manu Prakash

    Manu Prakash

    Associate Professor of Bioengineering, Senior Fellow at the Woods Institute for the Environment and Associate Professor, by courtesy, of Oceans and of Biology

    BioWe use interdisciplinary approaches including theory and experiments to understand how computation is embodied in biological matter. Examples include cognition in single cell protists and morphological computing in animals with no neurons and origins of complex behavior in multi-cellular systems. Broadly, we invent new tools for studying non-model organisms with significant focus on life in the ocean - addressing fundamental questions such as how do cells sense pressure or gravity? Finally, we are dedicated towards inventing and distributing “frugal science” tools to democratize access to science (previous inventions used worldwide: Foldscope, Abuzz), diagnostics of deadly diseases like malaria and convening global citizen science communities to tackle planetary scale environmental challenges such as mosquito surveillance or plankton surveillance by citizen sailors mapping the ocean in the age of Anthropocene.

  • Friedrich Prinz

    Friedrich Prinz

    Leonardo Professor, Professor of Mechanical Engineering, of Materials Science and Engineering and Senior Fellow at the Precourt Institute for Energy

    BioFritz Prinz is the Leonardo Professor in the School of Engineering at Stanford University, Professor of Materials Science and Engineering, Professor of Mechanical Engineering, and Senior Fellow at the Precourt Institute for Energy. He also serves as the Director of the Nanoscale Prototyping Laboratory and Faculty Co-director of the NPL-Affiliate Program. A solid-state physicist by training, Prinz leads a group of doctoral students, postdoctoral scholars, and visiting scholars who are addressing fundamental issues on energy conversion and storage at the nanoscale. In his Laboratory, a wide range of nano-fabrication technologies are employed to build prototype fuel cells and capacitors with induced topological electronic states. We are testing these concepts and novel material structures through atomic layer deposition, scanning tunneling microscopy, impedance spectroscopy and other technologies. In addition, the Prinz group group uses atomic scale modeling to gain insights into the nature of charge separation and recombination processes. Before coming to Stanford in 1994, he was on the faculty at Carnegie Mellon University. Prinz earned a PhD in Physics at the University of Vienna.

  • Patrick Lee Purdon

    Patrick Lee Purdon

    Professor of Anesthesiology, Perioperative and Pain Medicine and, by courtesy, of Bioengineering

    BioMy research integrates neuroimaging, biomedical signal processing, and the systems neuroscience of general anesthesia and sedation.

    My group conducts human studies of anesthesia-induced unconsciousness, using a variety of techniques including multimodal neuroimaging, high-density EEG, and invasive neurophysiological recordings used to diagnose medically refractory epilepsy. We also develop novel methods in neuroimaging and biomedical signal processing to support these studies, as well as methods for monitoring level of consciousness under general anesthesia using EEG.