School of Engineering


Showing 761-780 of 794 Results

  • Elijah Woolery

    Elijah Woolery

    Lecturer

    BioElijah trained in the Product Design program at Stanford University, where he now teaches as a lecturer. He has a background in photography and filmmaking, as well as product & industrial design. He is currently the Director of Design Education at InVision, a software design and collaboration platform.

    After working as a lead design engineer with Light & Motion, a vertically integrated manufacturer of consumer underwater video and photography equipment, he pursued graduate studies in marine biology at Moss Landing Marine Laboratories, and co-founded the print magazine Wetpixel Quarterly in 2007. He was a founder in the second class of Innovation Endeavor's Runway Program, a venture-backed startup accelerator backed by Eric Schmidt's fund.

    He also founded Out of the Deep Blue, a design consultancy, where he worked on web and mobile applications for clients like Genentech and Kaiser Permanente. As a life-long worshiper of the ocean, he loves to surf, dive, and kayak.

  • Bruce A. Wooley

    Bruce A. Wooley

    The Robert L. and Audrey S. Hancock Professor in the School of Engineering, Emeritus

    BioBruce Wooley is the Robert L. and Audrey S. Hancock Professor of Engineering, Emeritus, in the Department of Electrical Engineering at Stanford University. He received a Ph.D. degree in Electrical Engineering from the University of California, Berkeley in 1970, and from 1970 to 1984 he was a member of the research staff at Bell Laboratories in Holmdel, NJ. He joined the faculty at Stanford in 1984. At Stanford he has served as the Chair of the Department of Electrical Engineering, the Senior Associate Dean of Engineering and the Director of the Integrated Circuits Laboratory. His research is in the field of integrated circuit design, where his interests include low-power mixed-signal circuit design, oversampling analog-to-digital and digital-to-analog conversion, circuit design techniques for video and image data acquisition, high-speed embedded memory, high-performance packaging and testing, and circuits for wireless and wireline communications.
    Prof. Wooley is a Fellow of the IEEE and a past President of the IEEE Solid-State Circuits Society. He has served as the Editor of the IEEE Journal of Solid-State Circuits and as the Chairman of both the International Solid-State Circuits Conference (ISSCC) and the Symposium on VLSI Circuits. Awards he has received include the University Medal from the University of California, Berkeley, the IEEE Journal of Solid-State Circuits Best Paper Award, the Outstanding Alumnus Award from the EECS Department at the University of California, Berkeley, and the IEEE Donald O. Pederson Award in Solid-State Circuits.

  • Jiajun Wu

    Jiajun Wu

    Assistant Professor of Computer Science

    BioJiajun Wu is an Assistant Professor of Computer Science at Stanford University, working on computer vision, machine learning, and computational cognitive science. Before joining Stanford, he was a Visiting Faculty Researcher at Google Research. He received his PhD in Electrical Engineering and Computer Science at Massachusetts Institute of Technology and undergraduate degrees in Computer Science and in Economics at Tsinghua University. Wu's research has been recognized through the ACM Doctoral Dissertation Award Honorable Mention, the MIT George M. Sprowls PhD Thesis Award in Artificial Intelligence and Decision-Making, the IROS Best Paper Award on Cognitive Robotics, and fellowships from Facebook, Nvidia, Samsung, and Adobe.

  • Lei Xing

    Lei Xing

    Jacob Haimson Professor and Professor, by courtesy, of Electrical Engineering

    Current Research and Scholarly Interestsartificial intelligence in medicine, Image-guided intervention, molecular imaging, biologically conformable radiation threapy (BCRT), treatment plan optimization, optimization, application of molecular imaging to radiation oncology.

  • Kuang Xu

    Kuang Xu

    Associate Professor of Operations, Information and Technology at the Graduate School of Business and, by courtesy, of Electrical Engineering

    BioKuang Xu was born in Suzhou, China. He received the B.S. degree in Electrical Engineering (2009) from the University of Illinois at Urbana-Champaign, Urbana, Illinois, USA, and the Ph.D. degree in Electrical Engineering and Computer Science (2014) from the Massachusetts Institute of Technology, Cambridge, Massachusetts, USA. He was a postdoctoral fellow at the Microsoft Research-Inria Joint Center in Paris, France (2014-2015).

    His research interests lie in the fields of applied probability theory, optimization, and operations research, seeking to understand fundamental properties and design principles of large-scale stochastic systems, with applications in queueing networks, healthcare, privacy and statistical learning theory. He has received several awards including a First Place in INFORMS George E. Nicholson Student Paper Competition, a Best Paper Award, as well as a Kenneth C. Sevcik Outstanding Student Paper Award from ACM SIGMETRICS.

  • Yoshihisa Yamamoto

    Yoshihisa Yamamoto

    Professor of Electrical Engineering and of Applied Physics, Emeritus

    Current Research and Scholarly InterestsExperimental Quantum Optics, Semiconductor Physics, Quantum Information

  • Daniel Yamins

    Daniel Yamins

    Assistant Professor of Psychology and of Computer Science

    Current Research and Scholarly InterestsOur lab's research lies at intersection of neuroscience, artificial intelligence, psychology and large-scale data analysis. It is founded on two mutually reinforcing hypotheses:

    H1. By studying how the brain solves computational challenges, we can learn to build better artificial intelligence algorithms.

    H2. Through improving artificial intelligence algorithms, we'll discover better models of how the brain works.

    We investigate these hypotheses using techniques from computational modeling and artificial intelligence, high-throughput neurophysiology, functional brain imaging, behavioral psychophysics, and large-scale data analysis.

  • Fan Yang

    Fan Yang

    Associate Professor of Orthopaedic Surgery and of Bioengineering

    Current Research and Scholarly InterestsOur research seeks to understand how microenvironmental cues regulate stem cell fate, and to develop novel biomaterials and stem cell-based therapeutics for tissue engineering and regenerative medicine. Our work spans from fundamental science, technology development, to translational research.We are particularly interested in developing better therapies for treating musculoskeletal diseases, cardiovascular diseases and cancer.

  • Yunzhi Peter Yang

    Yunzhi Peter Yang

    Associate Professor of Orthopaedic Surgery and, by courtesy, of Materials Science and Engineering and of Bioengineering

    Current Research and Scholarly InterestsYangÂ’ lab's research interests are in the areas of bio-inspired biomaterials, medical devices, and 3D printing approaches for re-creating a suitable microenvironment for cell growth and tissue regeneration for musculoskeletal disease diagnosis and treatment, including multiple tissue healing such as rotator cuff injury, orthopedic diseases such as osteoporosis and osteonecrosis, and orthopedic traumas such as massive bone and muscle injuries.

  • Yinyu Ye

    Yinyu Ye

    Kwoh-Ting Li Professor in the School of Engineering and Professor, by courtesy, of Electrical Engineering

    BioYinyu Ye is currently the Kwoh-Ting Li Professor in the School of Engineering at the Department of Management Science and Engineering and Institute of Computational and Mathematical Engineering and the Director of the MS&E Industrial Affiliates Program, Stanford University. He received the B.S. degree in System Engineering from the Huazhong University of Science and Technology, China, and the M.S. and Ph.D. degrees in Engineering-Economic Systems and Operations Research from Stanford University. Ye's research interests lie in the areas of optimization, complexity theory, algorithm design and analysis, and applications of mathematical programming, operations research and system engineering. He is also interested in developing optimization software for various real-world applications. Current research topics include Liner Programming Algorithms, Markov Decision Processes, Computational Game/Market Equilibrium, Metric Distance Geometry, Dynamic Resource Allocation, and Stochastic and Robust Decision Making, etc. He is an INFORMS (The Institute for Operations Research and The Management Science) Fellow, and has received several research awards including the winner of the 2014 SIAG/Optimization Prize awarded every three years to the author(s) of the most outstanding paper, the inaugural 2012 ISMP Tseng Lectureship Prize for outstanding contribution to continuous optimization, the 2009 John von Neumann Theory Prize for fundamental sustained contributions to theory in Operations Research and the Management Sciences, the inaugural 2006 Farkas prize on Optimization, and the 2009 IBM Faculty Award. He has supervised numerous doctoral students at Stanford who received received the 2015 and 2013 Second Prize of INFORMS Nicholson Student Paper Competition, the 2013 INFORMS Computing Society Prize, the 2008 Nicholson Prize, and the 2006 and 2010 INFORMS Optimization Prizes for Young Researchers. Ye teaches courses on Optimization, Network and Integer Programming, Semidefinite Programming, etc. He has written extensively on Interior-Point Methods, Approximation Algorithms, Conic Optimization, and their applications; and served as a consultant or technical board member to a variety of industries, including MOSEK.

  • Serena Yeung

    Serena Yeung

    Assistant Professor of Biomedical Data Science and, by courtesy, of Computer Science and of Electrical Engineering

    BioDr. Serena Yeung is an Assistant Professor of Biomedical Data Science and, by courtesy, of Computer Science and of Electrical Engineering at Stanford University. Her research focus is on developing artificial intelligence and machine learning algorithms to enable new capabilities in biomedicine and healthcare. She has extensive expertise in deep learning and computer vision, and has developed computer vision algorithms for analyzing diverse types of visual data ranging from video capture of human behavior, to medical images and cell microscopy images.

    Dr. Yeung leads the Medical AI and Computer Vision Lab at Stanford. She is affiliated with the Stanford Artificial Intelligence Laboratory, the Clinical Excellence Research Center, the Center for Artificial Intelligence in Medicine & Imaging, the Center for Human-Centered Artificial Intelligence, and Bio-X. She also serves on the NIH Advisory Committee to the Director Working Group on Artificial Intelligence.