School of Engineering


Showing 1-10 of 26 Results

  • Pat Hanrahan

    Pat Hanrahan

    Canon Professor in the School of Engineering and Professor of Electrical Engineering, Emeritus

    BioProfessor Hanrahan's current research involves rendering algorithms, high performance graphics architectures, and systems support for graphical interaction. He also has worked on raster graphics systems, computer animation and modeling and scientific visualization, in particular, volume rendering.

  • Kari Hanson

    Kari Hanson

    Lecturer

    BioKari is a former technology executive with a passion for entrepreneurship, innovation, business strategy and making the world a better place. Having worked as a coach, investor, advisor, board member and CFO, she enjoys empowering students and entrepreneurs to thrive in life, the classroom and the marketplace.

  • James Harris

    James Harris

    James and Elenor Chesebrough Professor in the School of Engineering, Emeritus

    BioHarris utilizes molecular beam epitaxy (MBE) of III-V compound semiconductor materials to investigate new materials for electronic and optoelectronic devices. He utilizes heterojunctions, superlattices, quantum wells, and three-dimensional self-assembled quantum dots to create metastable engineered materials with novel or improved properties for electronic and optoelectronic devices. His early work in the 1970's demonstrating a practical heterojunction bipolar transistor led to their application in every mobile phone today and record setting solar cell efficiency. He has recently focused on three areas: 1) integration of photonic devices and micro optics for creation of new minimally invasive bio and medical systems for micro-array and neural imaging and 2) application of nanostructures semiconductors for the acceleration of electrons using light, a dielectric Laser Accelerator (DLA), and 3) novel materials and nano structuring for high efficiency solar cells and photo electrochemical water splitting for the generation of hydrogen.

  • Jerry Harris

    Jerry Harris

    The Cecil H. and Ida M. Green Professor in Geophysics, Emeritus

    Current Research and Scholarly InterestsBiographical Information
    Jerry M. Harris is the Cecil and Ida Green Professor of Geophysics and Associate Dean for the Office of Multicultural Affairs. He joined Stanford in 1988 following 11 years in private industry. He served five years as Geophysics department chair, was the Founding Director of the Stanford Center for Computational Earth and Environmental Science (CEES), and co-launched Stanford's Global Climate and Energy Project (GCEP). Graduates from Jerry's research group, the Stanford Wave Physics Lab, work in private industry, government labs, and universities.

    Research
    My research interests address the physics and dynamics of seismic and electromagnetic waves in complex media. My approach to these problems includes theory, numerical simulation, laboratory methods, and the analysis of field data. My group, collectively known as the Stanford Wave Physics Laboratory, specializes on high frequency borehole methods and low frequency labratory methods. We apply this research to the characterization and monitoring of petroleum and CO2 storage reservoirs.

    Teaching
    I teach courses on waves phenomena for borehole geophysics and tomography. I recently introduced and co-taught a new course on computational geosciences.

    Professional Activities
    I was the First Vice President of the Society of Exploration Geophysicists in 2003-04, and have served as the Distinguished Lecturer for the SPE, SEG, and AAPG.

  • Seamus Harte

    Seamus Harte

    Lecturer

    BioSeamus Yu Harte is the the Head of Learning Experience Design for the Electives Program at the Hasso Plattner Institute of Design (aka the d.school) and the founder of Only People, a learning experience design studio based inspired by the art & activism of John Lennon & Yoko Ono. From Yoko Ono to David Kelley, Seamus has had the opportunity to teach and learn with world-class creatives. He holds a BS in Sound Design from SAE and a MFA in Documentary Film + Video from Stanford University where he also received Fellowships from The Stanford Institute for Creativity and the Arts (SiCA) and The San Francisco Foundation.

  • Matthew Harvey

    Matthew Harvey

    Chief Corporate Engagement & Global Partnerships Officer, Stanford Engineering Center for Global and Online Education

    BioMatt Harvey is the chief corporate engagement and global partnerships officer with the Stanford Center for Professional Development (SCPD) in Stanford Engineering. He is responsible for leading development of corporate, collaborator, and prospective donor relationships to drive sustainable engagement and growth opportunities for the Stanford Center for Professional Development and Stanford Online. As a member of SCPD’s senior leadership team, he also serves as lead for the organization’s innovation and strategic roadmap initiatives.

    Matt previously served at SCPD as senior director of global partnerships and professional programs, where he developed global collaboration relationships and provided strategic direction for SCPD's professional programs and open course portfolios. Prior to that as executive director of the Stanford Technology Ventures Program (STVP), the entrepreneurship center in Stanford Engineering, he led external relations and provided direction for STVP’s operations, communications, and digital products, including Stanford eCorner, a multimedia digital learning platform to support entrepreneurship and innovation educators and aspiring entrepreneurs around the world. Prior to joining Stanford, Matt worked in content strategy and marketing roles for firms in the tech, entertainment, and non-profit sectors. A Silicon Valley native, Matt holds a degree in Television and Film from San Jose State University.

  • Trevor Hastie

    Trevor Hastie

    John A. Overdeck Professor, Professor of Statistics and of Biomedical Data Sciences

    Current Research and Scholarly InterestsFlexible statistical modeling for prediction and representation of data arising in biology, medicine, science or industry. Statistical and machine learning tools have gained importance over the years. Part of Hastie's work has been to bridge the gap between traditional statistical methodology and the achievements made in machine learning.