School of Engineering


Showing 1-6 of 6 Results

  • Daniel J O'Shea

    Daniel J O'Shea

    Postdoctoral Research Fellow, Electrical Engineering

    BioI am currently pursuing a PhD in Neuroscience with 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, and high dimensional modeling of population dynamics.

  • Kunle Olukotun

    Kunle Olukotun

    Cadence Design Systems Professor and Professor of Electrical Engineering

    BioKunle Olukotun is the Cadence Design Systems Professor in the School of Engineering and Professor of Electrical Engineering and Computer Science at Stanford University. Olukotun is well known as a pioneer in multicore processor design and the leader of the Stanford Hydra chip multiprocessor (CMP) research project. Olukotun founded Afara Websystems to develop high-throughput, low-power multicore processors for server systems. The Afara multicore processor, called Niagara, was acquired by Sun Microsystems. Niagara derived processors now power all Oracle SPARC-based servers. Olukotun currently directs the Stanford Pervasive Parallelism Lab (PPL), which seeks to proliferate the use of heterogeneous parallelism in all application areas using Domain Specific Languages (DSLs).

  • Brad Osgood

    Brad Osgood

    Professor of Electrical Engineering and, by courtesy, of 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 Lerner Professor in the School of 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 Aydin

    Ayfer Ozgur Aydin

    Assistant Professor of Electrical Engineering

    BioOzgur's research focuses on understanding the fundamental limits of communication in wireless networks and designing strategies that can approach these limits in practice. Her research combines tools and ideas from disciplines including information and coding theory, wireless communication, random matrix theory, graph theory, combinatorial and convex optimization.