School of Engineering
Showing 101-150 of 365 Results
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Jiechao Gao
Postdoctoral Scholar, Civil and Environmental Engineering
BioJiechao Gao is a Postdoctoral Research Associate at Stanford University's Center for Sustainable Development and Global Competitiveness. He received his Ph.D. in Computer Science from the University of Virginia, his M.S. in Electrical Engineering from Columbia University, and dual B.S. degrees in Applied Physics and Financial Engineering from Jilin University. Prior to joining Stanford, he served as an Associate Research Scientist at Columbia University.
His research spans federated learning, large language model (LLM) interpretability and efficiency, reinforcement learning, and privacy-preserving AI, with applications in healthcare, smart buildings, IoV, and finance. He has published extensively at top venues including ICLR, NeurIPS, ICML, AAAI, EMNLP, KDD, CVPR, ACL, etc. He serves as Area Chair or Senior Program Committee member for conferences such as ICLR, NeurIPS, ICML, AAAI, EMNLP, KDD, IJCAI, IJCNN, ICASSP, and reviews for journals such as JMLR, IEEE IoT-J, and IEEE TITS. His recognitions include the Google HE Faculty AI Fellowship (2026), Stanford/Elsevier Global Top 2% Scientists (2024 & 2025), and multiple Best Paper Nominations. -
Catherine Gorle
Associate Professor of Civil and Environmental Engineering and, by courtesy, of Mechanical Engineering
Current Research and Scholarly InterestsGorle's research focuses on the development of predictive flow simulations to support the design of sustainable buildings and cities. Specific topics of interest are the coupling of large- and small-scale models and experiments to quantify uncertainties related to the variability of boundary conditions, the development of uncertainty quantification methods for low-fidelity models using high-fidelity data, and the use of field measurements to validate and improve computational predictions.
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Zhili He
Graduate Visiting Researcher Student, Civil & Envir Engr
BioZhili He is a Visiting PhD Student in the Department of Civil and Environmental Engineering at Stanford University, working with Prof. Hae Young Noh. He is currently pursuing his PhD at The Hong Kong University of Science and Technology under the supervision of Prof. Yu-Hsing Wang.
His research lies at the intersection of robotics, computer vision, and artificial intelligence for the built environment. His current work focuses on autonomous quadruped robot systems, SLAM, 3D building digitalization, BIM, large language models, and AI-driven structural inspection.
He has published research in leading journals including Information Fusion and Automation in Construction. His long-term goal is to develop intelligent robotic systems that enable autonomous inspection, digitalization, and maintenance of civil infrastructure. -
Lynn Hildemann
Wayne Loel Professor of Sustainability
BioLynn Hildemann's current research areas include the sources and dispersion of airborne particulate matter indoors, and assessment of human exposure to air pollutants.
Prof. Hildemann received BS, MS, and PhD degrees in environmental engineering science from the California Institute of Technology. She is an author on >100 peer-reviewed publications, including two with over 1000 citations each, and another 6 with over 500 citations each. She has been honored with Young Investigator Awards from NSF and ONR, the Kenneth T. Whitby Award from the AAAR (1998), and Stanford's Gores Award for Teaching Excellence (2013); she also was a co-recipient of Atmospheric Environment’s Haagen-Smit Outstanding Paper Award (2001).
She has served on advisory committees for the Bay Area Air Quality Management District and for the California Air Resources Board. She has been an Associate Editor for Environmental Science & Technology, and Aerosol Science and Technology, and has served on the advisory board for the journal Environmental Science & Technology.
At Stanford, Prof. Hildemann has been chair of the Department of Civil & Environmental Engineering, and served as an elected member of the Faculty Senate. She has chaired the School of Engineering Library Committee, the University Committee on Judicial Affairs, and the University Breadth Governance Board. -
Mark Z. Jacobson
Professor of Civil and Environmental Engineering and Senior Fellow at the Woods Institute for the Environment and at the Precourt Institute for Energy
BioMark Z. Jacobson’s career has focused on better understanding air pollution and global warming problems and developing large-scale clean, renewable energy solutions to them. Toward that end, he has developed and applied three-dimensional atmosphere-biosphere-ocean computer models and solvers to simulate air pollution, weather, climate, and renewable energy. He has also developed roadmaps to transition states and countries to 100% clean, renewable energy for all purposes and computer models to examine grid stability in the presence of high penetrations of renewable energy.
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Rishee Jain
Associate Professor of Civil and Environmental Engineering
BioProfessor Jain's research focuses on the development of data-driven and socio-technical solutions to sustainability problems facing the urban built environment. His work lies at the intersection of civil engineering, data analytics and social science. Recently, his research has focused on understanding the socio-spatial dynamics of commercial building energy usage, conducting data-driven benchmarking and sustainability planning of urban buildings and characterizing the coupled dynamics of urban systems using data science and micro-experimentation. For more information, see the active projects on his lab (Stanford Urban Informatics Lab) website.
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Hyunmin Kang
Affiliate, Center for Sustainable Development and Global Competitiveness
BioHyunmin Kang is an Assistant Professor in the Department of Psychology at Daegu Univeristy in South Korea. He received his Ph.D. in Cognitive Engineering at Yonsei University. He conducts research within the Human-Urban Interaction pillar, examining the interactions between humans, cities, culture, transportation, technology, and services based on psychological and human factors theories. His research particularly utilizes quantitative and qualitative analysis, big data analytics, and metaverse technologies. His goal is to conduct research that contributes to improving the lives of people living in urban environments by deepening the understanding of human behavior.
