School of Engineering
Showing 41-60 of 615 Results
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Adam Boies
Associate Professor of Mechanical Engineering and Center Fellow at the Precourt Institute for Energy
Current Research and Scholarly InterestsSee www.ANEEStanford.com/research
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Emanuele Bombardi
Affiliate, Mechanical Engineering - Flow Physics and Computation
BioEmanuele Bombardi received his BSc (2020) and MSc (2022) degrees in Mathematical and Aerospace Engineering from the Politecnico di Torino. He subsequently began his doctoral studies at the Aéro-Thermo-Mécanique Laboratory at the Université libre de Bruxelles, under the supervision of Prof. Alessandro Parente and co-supervised by Prof. Luca Magri at Imperial College London, within the MODELAIR project funded by a Horizon Europe Marie Skłodowska-Curie Actions grant, with an expected graduation in 2027. He is a participant in the 2026 Summer Program at the Center for Turbulence Research at Stanford University.
Bombardi's research focuses on data assimilation methods for turbulence modelling and pollutant dispersion in urban atmospheric flows. Specific topics of interest include the development of ensemble Kalman filter frameworks for the calibration of turbulence closures, uncertainty quantification for low-fidelity simulations using high-fidelity data, and the application of these methods to complex urban environments. -
Mourad Bouache
Lecturer
BioMourad Bouache, Ph.D. is a pioneering computer scientist and tech leader operating at the critical intersection of hardware-software co-design, high-performance computing, and generative artificial intelligence.
Currently serving as the TPU and Models SW-HW Co-Design Tech Lead at Google, Mourad guides elite engineering teams tasked with architecting the next generation of accelerated AI infrastructure. His career spans over a decade of systemic evolution in AI, including serving as the Generative AI Engineering Tech Lead at Meta, driving core AI initiatives at Intel, and spending ten foundational years at Yahoo (through its Oath and Verizon chapters) scaling intelligent solutions across massive global ecosystems.
Anchored by deep academic roots, Mourad earned his Ph.D. in Computer Science from the University of Perpignan UPVD in France, followed by three prestigious postdoctoral fellowships focused on AI and Performance Optimization across the United States and Canada.
Committed to bridge-building between industry frontiers and academic excellence, he also serves as a lecturer at Stanford University, translating the complex realities of modern machine learning to inspire and equip the next generation of elite AI engineers. -
Tom Bowman
Professor of Mechanical Engineering, Emeritus
BioProfessor Bowman studies reacting flows, primarily through experimental means, and the processes by which pollutants are formed and destroyed in flames. In addition, he is interested in the environmental impact of energy use, specifically greenhouse gas emissions from use of fossil fuels.
