School of Engineering

Showing 221-230 of 348 Results

  • Alison Kepola Nishiyama-Young

    Alison Kepola Nishiyama-Young

    Director of Finance and Operations, d.school

  • Leyla Aeyelofe Odoutan

    Leyla Aeyelofe Odoutan

    Casual - Non-Exempt, Stanford Nanofabrication Facility
    Staff, Stanford Nanofabrication Facility

  • Lean Oliveros

    Lean Oliveros

    Adjunct Lecturer, d.school

  • Brad Osgood

    Brad Osgood

    Professor of Electrical Engineering and, by courtesy, in Education
    On Leave from 10/01/2023 To 06/30/2024

    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.

  • Sara Gillian Ostrowski

    Sara Gillian Ostrowski

    Associate Director, Stanford Nanofabrication Facility

  • Julia Palacios

    Julia Palacios

    Associate Professor of Statistics and of Biomedical Data Science

    BioDr. Palacios seek to provide statistically rigorous answers to concrete, data driven questions in evolutionary genetics and public health . My research involves probabilistic modeling of evolutionary forces and the development of computationally tractable methods that are applicable to big data problems. Past and current research relies heavily on the theory of stochastic processes, Bayesian nonparametrics and recent developments in machine learning and statistical theory for big data.

  • George Papanicolaou

    George Papanicolaou

    Robert Grimmett Professor of Mathematics

  • Tetiana Parshakova

    Tetiana Parshakova

    Ph.D. Student in Computational and Mathematical Engineering, admitted Autumn 2019

    BioI am a Ph.D. candidate in Computational Mathematics at Stanford, working with Prof. Stephen Boyd.

    My primary research objective is to develop efficient algorithms for computational problems using techniques from optimization, discrete mathematics, and statistics. In particular, my research interests include large-scale and distributed convex optimization, network science, learning and inference for network data, numerical and randomized linear algebra, low rank and structured optimization, and machine learning.

    Prior to my Ph.D., I received a Bachelor’s in Industrial Design and a Master’s in Electrical Engineering at KAIST.

    I am Ukrainian.

  • Arogyaswami Paulraj

    Arogyaswami Paulraj

    Professor (Research) of Electrical Engineering, Emeritus

    BioProfessor Emeritus Arogyaswami Paulraj, Stanford University, is a pioneer of MIMO wireless communications, a technology break through that enables improved wireless performance. MIMO is now incorporated into all new wireless systems.

    Paulraj is the author of over 400 research papers, two textbooks, and a co-inventor in 80 US patents.

    Paulraj has won over a dozen awards, notably the National Inventors Hall of Fame (USPTO), Marconi Prize and Fellowship, 2014 and the IEEE Alexander Graham Bell Medal, 2011. He is a fellow of eight scientific / engineering national academies including the US, China, India, and Sweden. He is a fellow of IEEE and AAAS.

    In 1999, Paulraj founded Iospan Wireless Inc. - which developed and established MIMO-OFDMA wireless as the core 4G technology. Iospan was acquired by Intel Corporation in 2003. In 2004, he co-founded Beceem Communications Inc. The company became the market leader in 4G-WiMAX semiconductor and was acquired by Broadcom Corp. in 2010. In 2014 he founded Rasa Networks to develop Machine Learning tools for WiFi Networks. The company was acquired HPE in 2016.

    During his 30 years in the Indian (Navy) (1961-1991), he founded three national-level laboratories in India and headed one of India’s most successful military R&D projects – APSOH sonar. He received over a dozen awards (many at the national level) in India including the Padma Bhushan, Ati Vishist Seva Medal and the VASVIK Medal.

  • Marco Pavone

    Marco Pavone

    Associate Professor of Aeronautics and Astronautics and, by courtesy, of Electrical Engineering and of Computer Science

    BioDr. Marco Pavone is an Associate Professor of Aeronautics and Astronautics at Stanford University, where he directs the Autonomous Systems Laboratory and the Center for Automotive Research at Stanford. He is also a Distinguished Research Scientist at NVIDIA where he leads autonomous vehicle research. Before joining Stanford, he was a Research Technologist within the Robotics Section at the NASA Jet Propulsion Laboratory. He received a Ph.D. degree in Aeronautics and Astronautics from the Massachusetts Institute of Technology in 2010. His main research interests are in the development of methodologies for the analysis, design, and control of autonomous systems, with an emphasis on self-driving cars, autonomous aerospace vehicles, and future mobility systems. He is a recipient of a number of awards, including a Presidential Early Career Award for Scientists and Engineers from President Barack Obama, an Office of Naval Research Young Investigator Award, a National Science Foundation Early Career (CAREER) Award, a NASA Early Career Faculty Award, and an Early-Career Spotlight Award from the Robotics Science and Systems Foundation. He was identified by the American Society for Engineering Education (ASEE) as one of America's 20 most highly promising investigators under the age of 40. His work has been recognized with best paper nominations or awards at a number of venues, including the European Conference on Computer Vision, the IEEE International Conference on Robotics and Automation, the European Control Conference, the IEEE International Conference on Intelligent Transportation Systems, the Field and Service Robotics Conference, the Robotics: Science and Systems Conference, and the INFORMS Annual Meeting.