Stanford Doerr School of Sustainability
Showing 761-770 of 1,466 Results
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Andrew Leslie
Assistant Professor of Earth and Planetary Sciences
Current Research and Scholarly InterestsI am interested in morphological evolution. I approach this broad topic by investigating how interactions among form, function, and environment have influenced evolutionary patterns in plant reproductive structures over million-year time scales. This approach requires synthesizing information from different disciplines, and my work uses approaches from paleontology, biomechanics, phylogenetics, and biogeography.
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Philip Levis
Professor of Computer Science and of Electrical Engineering
On Partial Leave from 10/01/2025 To 06/30/2026BioProfessor Levis' research focuses on the design and implementation of efficient software systems for embedded wireless sensor networks; embedded network sensor architecture and design; systems programming and software engineering.
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Raymond Levitt
Kumagai Professor in the School of Engineering, Emeritus
Current Research and Scholarly InterestsDr. Levitt founded and directs Stanford’s Global Projects Center (GPC), which conducts research, education and outreach to enhance financing, governance and sustainability of global building and infrastructure projects. Dr. Levitt's research focuses on developing enhanced governance of infrastructure projects procured via Public-Private Partnerships (PPP) delivery, and alternative project delivery approaches for complex buildings like full-service hospitals or data centers.
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Haipeng Li
Ph.D. Student in Geophysics, admitted Autumn 2022
BioHaipeng Li is a Ph.D. candidate in geophysics at the Stanford Earth imaging Project (SEP), beginning in the fall of 2022. His research interests include studying the Earth's interior structures and monitoring related dynamics. He uses and develops time-lapse seismic waveform inversion methods to address real-life problems, including hydrocarbon exploration, CO2 sequestration, and urban environment monitoring, often using Distributed Acoustic Sensing data. He is also interested in leveraging SciML techniques to advance inverse problems and uncertainty quantification.
