Stanford University


Showing 31-40 of 698 Results

  • Stephen R. Barley

    Stephen R. Barley

    Weiland Professor in the School of Engineering, Emeritus

    Current Research and Scholarly InterestsTechnology's role in occupational and organizational change. Science and innovation in industrial settings. Organizational and occupational culture. Corporate power. Social network theory. Macro-organizational behavior.

  • David Barnett

    David Barnett

    Professor of Materials Science and Engineering and of Mechanical Engineering, Emeritus

    BioDislocations in Elastic Solids; Bulk, Surface and Interfacial Waves in Anisotropic Elastic Media; Mechanics of Piezoelectric and Piezomagnetic Materials, Modeling of transport in fuel cell materials and of AFM usage to characterize charge distributions and impedance of fuel cell media. He is the author of over 125 technical articles concerned with dislocations and waves in anisotropic elastic and piezoelectric media.

  • Clark Barrett

    Clark Barrett

    Professor (Research) of Computer Science

    Current Research and Scholarly InterestsAutomated reasoning; satisfiability modulo theories (SMT); formal methods;
    formal verification; verification of smart contracts; verification of neural
    networks; AI safety; security; hardware design productivity and verification.

  • Annelise E. Barron

    Annelise E. Barron

    Associate Professor of Bioengineering
    On Leave from 04/01/2024 To 06/30/2024

    Current Research and Scholarly InterestsBiophysical mechanisms of host defense peptides (a.k.a. antimicrobial peptides) and their peptoid mimics; also, molecular and cellular biophysics of human innate immune responses.

  • Mohsen Bayati

    Mohsen Bayati

    Carl and Marilynn Thoma Professor in the Graduate School of Business and Professor, by courtesy, of Electrical Engineering

    Current Research and Scholarly Interests1) Healthcare management: I am interested in improving healthcare delivery using data-driven modeling and decision-making.

    2) Network models and message-passing algorithms: I work on graphical modeling ideas motivated from statistical physics and their applications in statistical inference.

    3) Personalized decision-making: I work on machine learning and statistical challenges of personalized decision-making. The problems that I have worked on are primarily motivated by healthcare applications.

  • David Beach

    David Beach

    Professor (Teaching) of Mechanical Engineering, Emeritus

    BioBeach teaches courses in the areas of design and manufacturing. Beach and Craig Milroy co-direct the Product Realization Laboratory which provides 1700 students annually with hands on experiences in product definition, conceptual design, detail design, and prototype creation. The PRL offers courses, mentors and tools in support of integrated designing and making. Pedagogically, Beach believes that creation of experience from which students (and teams of students) can interpret and internalize their own conclusions provides an excellent complement to content based teaching. His goal is to add strength in tacit knowledge which derives from the hands-on synthesis of design, prototype building, presentation and criticism.. The resulting judgment and instinct regarding materials, devices, materials transformation processes, and design process complement classical analytical engineering education to create superior engineers.

  • Gill Bejerano

    Gill Bejerano

    Professor of Developmental Biology, of Computer Science, of Pediatrics (Genetics) and of Biomedical Data Science

    Current Research and Scholarly Interests1. Automating monogenic patient diagnosis.
    2. The genomic signatures of independent divergent and convergent trait evolution in mammals.
    3. The logic of human gene regulation.
    4. The reasons for sequence ultraconservation.
    5. Cryptogenomics to bridge medical silos.
    6. Cryptogenetics to debate social injustice.
    7. Managing patient risk using machine learning.
    8. Understanding the flow of money in the US healthcare system.

  • Stacey Bent

    Stacey Bent

    Vice Provost, Graduate Education & Postdoc Affairs, Jagdeep & Roshni Singh Professor in the School of Engineering, Professor of Energy Science and Engineering and, by courtesy, of Electrical Eng, Materials Sci Eng & Chemistry

    BioThe research in the Bent laboratory is focused on understanding and controlling surface and interfacial chemistry and applying this knowledge to a range of problems in semiconductor processing, micro- and nano-electronics, nanotechnology, and sustainable and renewable energy. Much of the research aims to develop a molecular-level understanding in these systems, and hence the group uses of a variety of molecular probes. Systems currently under study in the group include functionalization of semiconductor surfaces, mechanisms and control of atomic layer deposition, molecular layer deposition, nanoscale materials for light absorption, interface engineering in photovoltaics, catalyst and electrocatalyst deposition.

  • Michael Bernstein

    Michael Bernstein

    Associate Professor of Computer Science

    BioMichael Bernstein is an Associate Professor of Computer Science at Stanford University, where he is a Bass University Fellow and STMicroelectronics Faculty Scholar. His research in human-computer interaction focuses on the design of social computing systems. This research has won best paper awards at top conferences in human-computer interaction, including CHI, CSCW, ICWSM, and UIST, and has been reported in venues such as The New York Times, Science, Wired, and The Guardian. Michael has been recognized with an Alfred P. Sloan Fellowship, UIST Lasting Impact Award, and the Patrick J. McGovern Tech for Humanity Prize. He holds a bachelor's degree in Symbolic Systems from Stanford University, as well as a master's degree and a Ph.D. in Computer Science from MIT.