Stanford University
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Hai Wang
Silas Palmer Professor of Engineering
On Leave from 04/01/2026 To 06/30/2026BioHai Wang is Silas H. Palmer Professor of Engineering in the Department of Mechanical Engineering at Stanford University. His research interests are high-speed propulsion, combustion, and renewable energy conversion. His current research topics include combustion chemistry of conventional and renewable fuels, detonation, high-speed propulsion, quantum-chemistry guided battery materials design, and transport theories. He is the author and coauthor of recent papers in scholarly journals, including "Stable sodium-sulfur electrochemistry enabled by phosphorus-based complexation" in PNAS, “Geometric modeling and analysis of detonation cellular stability" in Proceedings of the Combustion Institute, "Flame-formed carbon nanoparticles exhibit quantum dot behaviors" in PNAS, "Nanoparticles in dilute gases: Equivalence of momentum accommodation and surface adsorption" in Physical Review E, "A Physics-based approach to modeling real-fuel combustion chemistry. I. Evidence from experiments, and thermodynamic, chemical kinetic and statistical considerations" in Combustion and Flame, and “Formation of nascent soot and other condensed-phase materials in flames” in Proceedings of the Combustion Institute. He was the Editor-in-Chief of Progress in Energy and Combustion Science, a highly influential energy journal published by Elsevier with an impact factor of 35.3 (2021). Currently, he serves as the President of the Combustion Institute - an international, non-profit, educational and scientific society that promotes and disseminates research activities in all areas of combustion science and technology for the advancement of many communities around the world.
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Haojie Wang
Postdoctoral Scholar, Medicine
BioHi, I am a Postdoctoral Fellow at Stanford Data Science, with a joint appointment at School of Medicine. I am interested in using insights from data science and remote sensing to address the challenges of sustainable development. I develops GeoAI approaches for detecting labor trafficking in supply chains, population health monitoring, natural hazard forecasting, and advancing understanding of how environmental risks interact with human health.
