School of Engineering
Showing 301-350 of 613 Results
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Larry John Leifer
Professor of Mechanical Engineering, Emeritus
Current Research and Scholarly InterestsOur "designXlab" at the Stanford Center for Design Research (CDR) has long (30+ years) been focused on Engineering Design Team dynamics at global collaboration scale working with corporate partners in my graduate course ME310ABC. In our most recent studies we have added Neuroscience visualization of brain activity using fMRI and fNIRS. In doing so we have launched "NeuroDesign" as a professional discipline.
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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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Marc Levenston
Associate Professor of Mechanical Engineering and, by courtesy, of Radiology (Radiological Sciences Laboratory)
Current Research and Scholarly InterestsMy lab's research involves the function, degeneration and repair of musculoskeletal soft tissues, with a focus on meniscal fibrocartilage and articular cartilage. We are particularly interested in the complex interactions between biophysical and biochemical cues in controlling cell behavior, the roles of these interactions in degenerative conditions such as osteoarthritis, and development of tissue engineered 3D model systems for studying physical influences on primary and progenitor cells.
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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. -
Tianying Liu
Postdoctoral Scholar, Mechanical Engineering
BioDr. Tianying Liu is currently a Postdoctoral Scholar at Stanford University, focusing on the development of scalable, low-Iridium loading catalysts for cost-effective and durable PEM water electrolyzers. He earned his Ph.D. in Chemistry from Boston College in 2025, where his dissertation research investigated water oxidation mechanisms on Iridium dinuclear heterogeneous catalysts. During his doctoral studies, he served as an ALS Doctoral Fellow at Lawrence Berkeley National Laboratory, applying synchrotron-based ex situ and in situ soft X-ray absorption spectroscopy to uncover the structural dynamics of Iridium catalyst electrodes during water oxidation.
Before his doctoral work, Dr. Liu completed his M.S. and B.S. degrees in Materials Science and Engineering at Central South University. His earlier research experience includes developing Mo-based electrocatalysts for hydrogen evolution, engineering lithium-ion battery cathodes via atomic layer deposition at ShanghaiTech University, and characterizing molybdenum carbide catalysts as a visiting researcher at Northwestern University. His research interests broadly cover electrocatalysis, photoelectrochemistry, energy conversion, and materials design, with a strong focus on renewable energy applications. -
Lu Lu
Postdoctoral Scholar, Mechanical Engineering
BioDr. Lu Lu is currently a postdoctoral researcher at Stanford University. He received his B.S. and Ph.D. degrees from Ningbo University and Shanghai University in China in 2014 and 2019, respectively. He then worked as a postdoctoral researcher at Peking University from 2020 to 2022 before joining Stanford. His research interests focus on solid mechanics, with emphasis on mechanical instabilities, deployable structures, mechanics of intelligent soft materials, plate and shell theories, and nonlocal elasticity. He has published nearly 30 peer-reviewed papers in journals such as PNAS, JMPS, IJSS, AMR, IJMS, JAM, and PRSA, and received the ASME Melville Medal in 2024.
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Ade Mabogunje
Sr Research Engineer
BioAde Mabogunje conducts research on the design thinking process with a view to instrumenting and measuring the process and giving feedback to design thinking teams on ways to improve their performance. He works in collaboration with partners in the engineering education, design practice and investment community as a participant-observer in the practice of building and developing ecosystems that support accelerated and continuous innovation in products and services. Prior to this he was the associate director of the Stanford Center for Design Research (CDR). He was also the lead of the Real-time Venture Design Lab program (ReVeL) in the school of Humanities and Sciences. His industry experience includes engineering positions at the French Oil Company Elf (now Total) and research collaboration with Artificial Intelligence Scientists at NASA Ames. He has publications in the areas of design theory and methodology, knowledge management, emotions in engineering, design protocol analysis, and engineering-design education.
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Laurin Maechtig
Graduate Visiting Researcher Student, Mechanical Engineering
BioLaurin Mächtig is a Visiting Student Researcher (VSR) at the Center for Turbulence Research (CTR).
At Stanford, he is investigating Aircraft Icing with high-fidelity simulations under supervision of postdoctoral fellow Federico Zabaleta and Professor Parviz Moin.
He holds a Bachelor of Science in Aerospace Engineering from the University of Stuttgart, where he is currently enrolled as a Master's student in aerospace engineering in his final year. -
Dr. Arun Majumdar
Chester Naramore Dean, Stanford Doerr School of Sustainability, Jay Precourt Professor, Professor of Mechanical Eng, of Energy Science & Eng, of Photon Science, Sr Fellow at Woods & Professor, by court, of Materials Science & Eng
BioDr. Arun Majumdar is the inaugural Dean of the Stanford Doerr School of Sustainability. He is the Jay Precourt Provostial Chair Professor at Stanford University, a faculty member of the Departments of Mechanical Engineering and Energy Science and Engineering, a Senior Fellow and former Director of the Precourt Institute for Energy and Senior Fellow (courtesy) of the Hoover Institution. He is also a faculty in Department of Photon Science at SLAC.
In October 2009, Dr. Majumdar was nominated by President Obama and confirmed by the Senate to become the Founding Director of the Advanced Research Projects Agency - Energy (ARPA-E), where he served until June 2012 and helped ARPA-E become a model of excellence and innovation for the government with bipartisan support from Congress and other stakeholders. Between March 2011 and June 2012, he also served as the Acting Under Secretary of Energy, enabling the portfolio of Office of Energy Efficiency and Renewable Energy, Office of Electricity Delivery and Reliability, Office of Nuclear Energy and the Office of Fossil Energy, as well as multiple cross-cutting efforts such as Sunshot, Grid Modernization Team and others that he had initiated. Furthermore, he was a Senior Advisor to the Secretary of Energy, Dr. Steven Chu, on a variety of matters related to management, personnel, budget, and policy. In 2010, he served on Secretary Chu's Science Team to help stop the leak of the Deep Water Horizon (BP) oil spill.
Dr. Majumdar serves as the Chair of the Advisory Board of the US Secretary of Energy, Jennifer Granholm. He led the Agency Review Team for the Department of Energy, Federal Energy Regulatory Commission and the Nuclear Regulatory Commission during the Biden-Harris Presidential transition. He served as the Vice Chairman of the Advisory Board of US Secretary of Energy, Dr. Ernest Moniz, and was also a Science Envoy for the US Department of State with focus on energy and technology innovation in the Baltics and Poland. He also serves on numerous advisory boards and boards of businesses, investment groups and non-profit organizations.
After leaving Washington, DC and before joining Stanford, Dr. Majumdar was the Vice President for Energy at Google, where he assembled a team to create technologies and businesses at the intersection of data, computing and electricity grid.
Dr. Majumdar is a member of the US National Academy of Sciences, US National Academy of Engineering and the American Academy of Arts and Sciences. His research in the past has involved the science and engineering of nanoscale materials and devices, especially in the areas of energy conversion, transport and storage as well as biomolecular analysis. His current research focuses on redox reactions and systems that are fundamental to a sustainable energy future, multidimensional nanoscale imaging and microscopy, and an effort to leverage modern AI techniques to develop and deliver energy and climate solutions.
Prior to joining the Department of Energy, Dr. Majumdar was the Almy & Agnes Maynard Chair Professor of Mechanical Engineering and Materials Science & Engineering at University of California–Berkeley and the Associate Laboratory Director for energy and environment at Lawrence Berkeley National Laboratory. He also spent the early part of his academic career at Arizona State University and University of California, Santa Barbara.
Dr. Majumdar received his bachelor's degree in Mechanical Engineering at the Indian Institute of Technology, Bombay in 1985 and his Ph.D. from the University of California, Berkeley in 1989. -
Ali Mani
Professor of Mechanical Engineering
BioAli Mani is a professor of Mechanical Engineering at Stanford University. He is a faculty affiliate of the Institute for Computational and Mathematical Engineering at Stanford. He received his PhD in Mechanical Engineering from Stanford in 2009. Prior to joining the faculty in 2011, he was an engineering research associate at Stanford and a senior postdoctoral associate at Massachusetts Institute of Technology in the Department of Chemical Engineering. His research group builds and utilizes large-scale high-fidelity numerical simulations, as well as methods of applied mathematics, to develop quantitative understanding of transport processes that involve strong coupling with fluid flow and commonly involve turbulence or chaos. His teaching includes the undergraduate engineering math classes and graduate courses on fluid mechanics and numerical analysis.
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Alison Marsden
Douglass M. and Nola Leishman Professor of Cardiovascular Diseases, Professor of Pediatrics (Cardiology) and of Bioengineering and, by courtesy, of Mechanical Engineering
Current Research and Scholarly InterestsThe Cardiovascular Biomechanics Computation Lab at Stanford develops novel computational methods for the study of cardiovascular disease progression, surgical methods, and medical devices. We have a particular interest in pediatric cardiology, and use virtual surgery to design novel surgical concepts for children born with heart defects.
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Russell Martin
Ph.D. Student in Mechanical Engineering, admitted Autumn 2020
BioPhD student with the Stanford Biomechatronics Lab (biomechatronics.stanford.edu).
LinkedIn: linkedin.com/in/russell-m-martin/
Scholar: scholar.google.com/citations?user=h1vmmG0AAAAJ&hl=en
Website: russellmmartin.github.io -
Jonathan Massey
Postdoctoral Scholar, Mechanical Engineering
BioI completed my PhD at the University of Southampton, where my research focused on the role of surface texture in the hydrodynamics of aquatic locomotion. This project advanced our understanding of the multiscale interactions involved, addressing whether fish scales might actually enhance swimming efficiency.
I have joined Prof. McKeon's group as part of the SAPPHiRE project (Shear stress And Propagating Pressure in High Reynolds Experiments). This multi-facility (Stanford, Princeton, and Melbourne) experimental campaign focuses on measurements of wall-pressure and shear-stress fluctuations in high Reynolds number boundary layers, advancing our understanding of noise and drag in high-Re settings. My involvement is in the modelling and theory for wall-pressure fluctuations and their origins in the velocity field. Previous models are based on extrapolations from low-Re physics, so I will incorporate new techniques to improve upon these in parallel with the experimental campaign.
