School of Engineering
Showing 221-240 of 467 Results
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Thomas Lee
Professor of Electrical Engineering
BioProfessor Lee's principal areas of professional interest include analog circuitry of all types, ranging from low-level DC instrumentation to high-speed RF communications systems. His present research focus is on CMOS RF integrated circuit design, and on extending operation into the terahertz realm.
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Sanjiva Lele
Edward C. Wells Professor of the School of Engineering and Professor of Mechanical Engineering
BioProfessor Lele's research combines numerical simulations with modeling to study fundamental unsteady flow phemonema, turbulence, flow instabilities, and flow-generated sound. Recent projects include shock-turbulent boundary layer interactions, supersonic jet noise, wind turbine aeroacoustics, wind farm modeling, aircraft contrails, multi-material mixing and multi-phase flows involving cavitation. He is also interested in developing high-fidelity computational methods for engineering applications.
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Adrian Lew
Professor of Mechanical Engineering
BioProf. Lew's interests lie in the broad area of computational solid mechanics. He is concerned with the fundamental design and mathematical analysis of material models and numerical algorithms.
Currently the group is focused on the design of algorithms to simulate hydraulic fracturing. To this end we work on algorithms for time-integration embedded or immersed boundary methods. -
Zetian Li
Masters Student in Computational and Mathematical Engineering, admitted Autumn 2024
Current Research and Scholarly InterestsStatistical Learning, Machine Learning, Bayesian Statistics, Probability Theory
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Wei Li
Adjunct Professor, Institute for Computational and Mathematical Engineering (ICME)
BioDr. Wei Li works at the intersection of AI strategy, governance, and enterprise impact.
Wei is an AI executive and Adjunct Professor at Stanford University, focusing on Innovation to Impact (I2I)—turning computational, AI, and interdisciplinary ideas into deployable systems, scalable products, and measurable business, societal and clinical outcomes.
Previously, Wei served as VP/GM of AI & Analytics (AIA) at Intel, leading large global teams that built full-stack AI software platforms and shaping AI product strategy, ecosystem development, and enterprise deployment at scale, driving multi-billion-dollar AI revenue across enterprise and industry use cases. He also previously served on the boards of the PyTorch Foundation and Linux Foundation AI&Data, contributing to open-source governance, industry collaboration, and responsible AI adoption. Wei has collaborated with leading technology companies including Meta, OpenAI, Google, Microsoft, Hugging Face, AWS, and Accenture, as well as emerging startups. He has delivered keynotes and lectures at leading forums, including the World AI Summit and Harvard Business School, and engage with media such as Bloomberg to share insights on AI strategy, governance, and enterprise impact.
Wei regularly advises executives and boards on AI strategy, governance, and risk management—particularly where AI materially affects competitiveness, scale, and regulatory exposure. Wei holds a Ph.D. in Computer Science from Cornell University and completed an executive program at Stanford Graduate School of Business.
