School of Engineering


Showing 1-6 of 6 Results

  • Daniel J O'Shea

    Daniel J O'Shea

    Research Engineer

    BioI am currently a postdoctoral scholar working with Dr. Krishna Shenoy in the Neural Prosthetics Systems lab. I am interested the neural basis of movement and motor feedback control. Towards this end, I am engaged in collaborative research employing multielectrode array recordings, optogenetic and electrical stimulation, haptic feedback devices, two photon imaging, and high dimensional statistical modeling of population dynamics.

  • Kunle Olukotun

    Kunle Olukotun

    Cadence Design Systems Professor, Professor of Electrical Engineering and of Computer Science

    BioKunle Olukotun is the Cadence Design Professor of Electrical Engineering and Computer Science at Stanford University. Olukotun is a pioneer in multicore processor design and the leader of the Stanford Hydra chip multiprocessor (CMP) research project. He founded Afara Websystems to develop high-throughput, low-power multicore processors for server systems. The Afara multi-core processor, called Niagara, was acquired by Sun Microsystems and now powers Oracle's SPARC-based servers. In 2017, Olukotun co-founded SambaNova Systems, a Machine Learning and Artificial Intelligence company, and continues to lead as their Chief Technologist.

    Olukotun is the Director of the Pervasive Parallel Lab and a member of the Data Analytics tor What's Next (DAWN) Lab, developing infrastructure for usable machine learning. He is a member of the National Academy of Engineering, an ACM Fellow, and an IEEE Fellow for contributions to multiprocessors on a chip design and the commercialization of this technology. He also received the Harry H. Goode Memorial Award.

    Olukotun received his Ph.D. in Computer Engineering from The University of Michigan.

  • Simona Onori

    Simona Onori

    Assistant Professor of Energy Science Engineering and, by courtesy, of Electrical Engineering

    Current Research and Scholarly InterestsModeling, control and optimization of dynamic systems;
    Model-based control in advanced propulsion systems;
    Energy management control and optimization in HEVs and PHEVs;
    Energy storage systems- Li-ion and PbA batteries, Supercapacitors;
    Battery aging modeling, state of health estimation and life prediction for control;
    Damage degradation modeling in interconnected systems

  • Brad Osgood

    Brad Osgood

    Professor of Electrical Engineering and, by courtesy, in Education

    BioOsgood is a mathematician by training and applies techniques from analysis and geometry to various engineering problems. He is interested in problems in imaging, pattern recognition, and signal processing.

  • John Ousterhout

    John Ousterhout

    Leonard Bosack and Sandy K. Lerner Professor of Engineering, Professor of Computer Science and, by courtesy, of Electrical Engineering

    Current Research and Scholarly InterestsOusterhout's research ranges across a variety of topics in system software, software development tools, and user interfaces. His current research is in the area of granular computing: new software stack layers that allow the execution of large numbers of very small tasks (as short as a few microseconds) in a datacenter. Current projects are developing new techniques for thread management, network communication, and logging.

  • Ayfer Ozgur

    Ayfer Ozgur

    Associate Professor of Electrical Engineering

    BioOzgur's research focuses on information theory, wireless communication and networks, distributed estimation and learning