Stanford University


Showing 1-10 of 16 Results

  • Rozie Zangeneh

    Rozie Zangeneh

    Physical Science Research Scientist, Program-Mani, A.

    BioDr. Rozie Zangeneh is a physical science research scientist in the Department of Mechanical Engineering at Stanford. She develops and utilizes scientific computational tools and conducts massively parallel computations to study detailed physical processes in multiphysics flows and energy systems to develop data-driven low-order models for affordable computation of highly turbulent systems.
    Rozie received her Ph.D. in Mechanical Engineering from the University of Maine. Her primary research interests include turbulence modeling (LES and RANS), data-driven and reduced-order models, high-speed aerothermodynamics, and the aerodynamics of wind turbines.

  • Howard Zebker

    Howard Zebker

    Kwoh Ting Li Professor in the School of Engineering and Professor of Geophysics

    Current Research and Scholarly InterestsResearch
    My students and I study the surfaces of Earth and planets using radar remote sensing methods. Our specialization is interferometric radar, or InSAR. InSAR is a technique to measure mm-scale surface deformation at fine resolution over wide areas, and much of our work follows from applying this technique to the study of earthquakes, volcanoes, and human-induced subsidence. We also address global environmental problems by tracking the movement of ice in the polar regions. whose ice mass balance affects sea level rise and global climate. We participate in NASA space missions such as Cassini, in which we now are examining the largest moon of Saturn, Titan, to try and deduce its composition and evolution. Our work includes experimental observation and modeling the measurements to best understand processes affecting the Earth and solar system. We use data acquired by spaceborne satellites and by large, ground-based radar telescopes to support our research.

    Teaching
    I teach courses related to remote sensing methods and applications, and how these methods can be used to study the world around us. At the undergraduate level, these include introductory remote sensing uses of the full electromagnetic spectrum to characterize Earth and planetary surfaces and atmospheres, and methods of digital image processing. I also teach a freshman and sophomore seminar course on natural hazards. At the graduate level, the courses are more specialized, including the math and physics of two-dimensional imaging systems, plus detailed ourses on imaging radar systems for geophysical applications.

    Professional Activities
    InSAR Review Board, NASA Jet Propulsion Laboratory (2006-present); editorial board, IEEE Proceedings (2005-present); NRC Earth Science and Applications from Space Panel on Solid Earth Hazards, Resources, and Dynamics (2005-present); Chair, Western North America InSAR (WInSAR) Consortium (2004-06); organizing committee, NASA/NSF/USGS InSAR working group; International Union of Radioscience (URSI) Board of Experts for Medal Evaluations (2004-05); National Astronomy and Ionospheric Center, Arecibo Observatory, Visiting Committee, (2002-04; chair, 2003-04); NASA Alaska SAR Facility users working group (2000-present); associate editor, IEEE Transactions on Geoscience and Remote Sensing (1998-present); fellow, IEEE (1998)

  • Zisheng Zhang

    Zisheng Zhang

    Assistant Professor of Chemical Engineering

    BioZisheng Zhang is an Assistant Professor of Chemical Engineering. He is interested in physics-steered, complexity-driven, and AI-accelerated simulations for understanding, design, and discovery of novel functional catalysts, materials, molecules, and interfaces.

    ZZ grew up in Wuhan and received undergraduate training in both experimental and computational chemistry at South University of Science and Technology of China (with Prof. Jun Li) and University of California, Los Angeles (with Prof. Anastassia N. Alexandrova). He then stayed at UCLA and obtained his M.Sc. and Ph.D. in Theoretical and Computational Chemistry. During PhD study, he did research internship at Argonne National Lab in 2022 with Dr. Maria Chan. Prior to transitioning to a faculty role, he was a Stanford Energy Fellow at the SUNCAT Center for Interface Science and Catalysis.

  • Haoqi (Nina) Zhao

    Haoqi (Nina) Zhao

    Assistant Professor of Civil and Environmental Engineering

    BioNina joined Stanford CEE as an Assistant Professor in Summer 2026. Her research bridges computational metabolomics and exposomics to uncover unknown lifestyle chemicals and their impacts on health. Nina earned her B.S. from Peking University, her Ph.D. from the University of Washington, and was a postdoctoral scientist at UC San Diego. She received the Pathway to Independence Award (K99/R00) from the National Institutes of Health in 2025.

    The Zhao Lab at Stanford will operate at the interface of environmental chemistry, environmental health, and computational mass spectrometry. We aim to identify previously unrecognized chemical drivers that influence human and ecosystem health. We pursue this goal by developing innovative computational and analytical methods centered around untargeted mass spectrometry. Through these efforts, we aim to enable precision environmental health strategies, inform public health policies, and inspire sustainable chemical design.

    Current research interests include (but are not limited to):
    1.Leveraging mass spectrometry data repositories and advanced informatics tools to systematically map the chemical exposome.
    2.Developing tools and resources for mass spectrometry data analysis to advance exposomics research.
    3.Investigating host-microbiome-xenobiotic interactions and their impacts on human health.
    4.Integrating toxicology with untargeted screening to accelerate the discovery and risk assessment of unknown molecules.
    5.Pediatric environmental health: chemical exposures through breastfeeding and their implications for infant development.
    6.Traffic-related chemical pollution: environmental fate, occurrence, and relevance to human exposures.