School of Engineering


Showing 1-16 of 16 Results

  • Jonathan Fan

    Jonathan Fan

    Associate Professor of Electrical Engineering

    Current Research and Scholarly InterestsOptical engineering plays a major role in imaging, communications, energy harvesting, and quantum technologies. We are exploring the next frontier of optical engineering on three fronts. The first is new materials development in the growth of crystalline plasmonic materials and assembly of nanomaterials. The second is novel methods for nanofabrication. The third is new inverse design concepts based on optimization and machine learning.

  • Charbel Farhat

    Charbel Farhat

    Vivian Church Hoff Professor of Aircraft Structures and Professor of Aeronautics and Astronautics
    On Partial Leave from 04/01/2024 To 06/30/2024

    Current Research and Scholarly InterestsCharbel Farhat and his Research Group (FRG) develop mathematical models, advanced computational algorithms, and high-performance software for the design, analysis, and digital twinning of complex systems in aerospace, marine, mechanical, and naval engineering. They contribute major advances to Simulation-Based Engineering Science. Current engineering foci in research are on reliable autonomous carrier landing in rough seas; dissipation of vertical landing energies through structural flexibility; nonlinear aeroelasticity of N+3 aircraft with High Aspect Ratio (HAR) wings; pulsation and flutter of a parachute; pendulum motion in main parachute clusters; coupled fluid-structure interaction (FSI) in supersonic inflatable aerodynamic decelerators for Mars landing; flight dynamics of hypersonic systems and their trajectories; and advanced digital twinning. Current theoretical and computational emphases in research are on high-performance, multi-scale modeling for the high-fidelity analysis of multi-component, multi-physics problems; discrete-event-free embedded boundary methods for CFD and FSI; efficient Bayesian optimization using physics-based surrogate models; modeling and quantifying model-form uncertainty; probabilistic, physics-based machine learning; mechanics-informed artificial neural networks for data-driven constitutive modeling; and efficient nonlinear projection-based model order reduction for time-critical applications such as design, active control, and digital twinning.

  • Humera Fasihuddin

    Humera Fasihuddin

    d.school Systems Architect, d.school

    BioHumera co-directs the University Innovation Fellows Program. She trains students to create lasting institutional impact that enhances the innovation and entrepreneurship ecosystem on campus.

    Prior to the University Innovation Fellows program, she worked for nonprofit VentureWell and led the creation of numerous programs including the organization’s first foray in advanced venture training workshops, which today account for over half of the 501c(3)’s income. Before that, she created innovation networks between industry and the University of Massachusetts Amherst under an NSF Partnership for Innovation grant.

    Humera began her career at the publicly-traded UK firm Rexam, serving as product manager in their precision coated materials subsidiary. Humera holds an M.B.A. from UMass Amherst and a B.S. from Smith College.

  • Ron Fedkiw

    Ron Fedkiw

    Canon Professor in the School of Engineering

    BioFedkiw's research is focused on the design of new computational algorithms for a variety of applications including computational fluid dynamics, computer graphics, and biomechanics.

  • Chris Flink

    Chris Flink

    Adjunct Professor, d.school

    BioChris Flink is an Adjunct Professor and a versatile leader with experience spanning top creative, educational and cultural institutions. He's a dynamic executive who consistently marries imagination with strategic rigor, brings the best out of interdisciplinary teams, and fosters inclusive, human-centered organizational cultures. He is the former CEO and Executive Director of the Exploratorium (2016-22), senior partner at IDEO (1997-2016), and Fortune 500 corporate board member. At Stanford, he was reappointed as an Adjunct Professor in 2023 to again support strategic leadership of the "d.school" and contribute to its courses, programs and projects. Professor Flink was a founding faculty member of the d.school (Hasso Plattner Institute of Design) and key part of its early leadership team. He was previously appointed as a Consulting Associate Professor in Engineering (1999-2017), a Lecturer in Marketing at the Graduate School of Business (2011-16), and a faculty Resident Fellow (2013-17). Courses taught include: "Advanced Product Design" (ME 216B), "Human Values in Design" (ME 313 with Professor David Kelley), "Brands, Experience & Social Technology" (MKTG 353), "Designing Empathy-based Organizations" (GSBGEN 555), "Social Brands" and "Building Innovative Brands" (MKTG 541 & 552 with Professor Jennifer Aaker). He served as the faculty Resident Fellow for a vibrant innovation-themed undergraduate dorm of more than 130 upperclass students (each year) as they built community and fueled their creative confidence. Professor Flink has also delivered popular guest lectures at Wharton and Columbia business schools, and presented at TEDx as well as the World Economic Forum in Davos, Switzerland. His adventures with Stanford began as an enthusiastic student, earning his BS in Engineering/Product Design in 1994 and his MS in Management from the Graduate School of Business in 2005.

  • Emily Fox

    Emily Fox

    Professor of Statistics and of Computer Science

    BioEmily Fox is a Professor in the Departments of Statistics and Computer Science at Stanford University. Prior to Stanford, she was the Amazon Professor of Machine Learning in the Paul G. Allen School of Computer Science & Engineering and Department of Statistics at the University of Washington. From 2018-2021, Emily led the Health AI team at Apple, where she was a Distinguished Engineer. Before joining UW, Emily was an Assistant Professor at the Wharton School Department of Statistics at the University of Pennsylvania. She earned her doctorate from Electrical Engineering and Computer Science (EECS) at MIT where her thesis was recognized with EECS' Jin-Au Kong Outstanding Doctoral Thesis Prize and the Leonard J. Savage Award for Best Thesis in Applied Methodology.

    Emily has been awarded a CZ Biohub Investigator Award, Presidential Early Career Award for Scientists and Engineers (PECASE), a Sloan Research Fellowship, ONR Young Investigator Award, and NSF CAREER Award. Her research interests are in modeling complex time series arising in health, particularly from health wearables and neuroimaging modalities.

  • Oliver Fringer

    Oliver Fringer

    Professor of Civil and Environmental Engineering and of Oceans

    BioFringer's research focuses on the development and application of numerical models and high-performance computational techniques to the study of fundamental processes that influence the dynamics of the coastal ocean, rivers, lakes, and estuaries.