School of Engineering
Showing 101-200 of 500 Results
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Hannah Lee
Ph.D. Student in Electrical Engineering, admitted Autumn 2023
Current Research and Scholarly InterestsComputational Neuroscience, Statistical Modeling for Neuroscience
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Jeseung Lee
Postdoctoral Scholar, Mechanical Engineering
BioJeseung Lee is a postdoctoral scholar of mechanical engineering at Stanford University. His research focuses on embedding intelligence and novel functionality into mechanical systems through programmable and reconfigurable structures. He earned his B.S. (summa cum laude) and Ph.D. (valedictorian) in Mechanical Engineering from Seoul National University, South Korea.
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Jin Hyung Lee
Associate Professor of Neurology and Neurological Sciences (Neurology Research), of Neurosurgery and of Bioengineering and, by courtesy, of Electrical Engineering
Current Research and Scholarly InterestsIn vivo visualization and control of neural circuits
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Nicolas Lee
Senior Lecturer of Aeronautics and Astronautics
BioNicolas Lee is currently a Senior Lecturer in Aeronautics and Astronautics at Stanford University and specializes in teaching hands-on design skills. Previously, Nicolas was a research engineer studying hypervelocity impact plasma, meteor radar observations, and mission concepts using deployable structures and CubeSat technologies. Nicolas was a Ph.D. student at Stanford focused on meteoroid impact effects on spacecraft, and a W. M. Keck Institute for Space Studies postdoctoral scholar in aerospace at Caltech researching technologies for robotically assembled space telecopes, membrane structures for space solar power applications, and small satellite high voltage electronics.
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Sang-Won Lee
Postdoctoral Scholar, Chemical Engineering
BioGoogle scholar profile_https://scholar.google.com/citations?authuser=1&user=MMIaMDkAAAAJ
Linked in profile_https://www.linkedin.com/in/%E2%80%8Dsang-won-lee-918495226/ -
Sangjoon Lee
Postdoctoral Scholar, Aeronautics and Astronautics
BioSangjoon "Joon" Lee is a postdoctoral scholar at the Department of Aeronautics and Astronautics. He was a CTR Fellowship recipient at the Center for Turbulence Research (CTR) from October 2024 to December 2025. He earned his Ph.D. in Mechanical Engineering with a Designated Emphasis in Computational and Data Science and Engineering from the University of California, Berkeley. His expertise is grounded in fluid mechanics and computational science, covering areas such as computational fluid dynamics (CFD), heat transfer analyses, vortex/turbulence physics and instabilities, numerical algorithms, and data-driven hydro-/aerodynamic design optimization.
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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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Tonghun Lee
Professor of Aeronautics and Astronautics
BioProfessor Lee's research group is focused on investigating the fundamental physics relevant to next generation aerospace propulsion systems and space entry technologies. Areas of interest include hypersonic propulsion systems, hybrid chemical and electrical propulsion systems, compact UAV propulsion technologies, integration of sustainable aviation fuels, and application of advanced laser & optical diagnostics. His work aims to improve fundamental understanding of high-speed reacting flows while advancing technologies for more efficient and environmentally responsible aerospace systems.
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Yuan-Mau Lee
Ph.D. Student in Materials Science and Engineering, admitted Autumn 2023
Masters Student in Materials Science and Engineering, admitted Summer 2025BioYuan-Mau (Leo) Lee is a Ph.D. student in the Department of Materials Science and Engineering at Stanford University, advised by Prof. Eric Pop. He received his B.S. in Materials Science and Engineering from National Tsing-Hua University in 2022. His research focuses on 2D semiconductors, advanced circuit technology, and their applications.
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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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Michael Lepech
C. L. Peck, Class of 1906, Professor and Senior Fellow at the Woods Institute for the Environment
BioUnsustainable energy and material consumption, waste production, and emissions are some of today’s most pressing global concerns. To address these concerns, civil engineers are now designing facilities that, for example, passively generate power, reuse waste, and are carbon neutral. These designs are based foremost on longstanding engineering theory. Yet woven within this basic knowledge must be new science and new technologies, which advance the field of civil engineering to the forefront of sustainability-focused design.
My research develops fundamental engineering design concepts, models, and tools that are tightly integrated with quantitative sustainability assessment and service life modeling across length scales, from material scales to system scales, and throughout the early design, project engineering, construction, and operation life cycle phases of constructed facilities. My research follows the Sustainable Integrated Materials, Structures, Systems (SIMSS) framework. SIMSS is a tool to guide the multi-scale design of sustainable built environments, including multi-physics modeling informed by infrastructure sensing data and computational learning and feedback algorithms to support advanced digital-twinning of engineered systems. Thus, my research applies SIMMS through two complementary research thrusts; (1) developing high-fidelity quantitative sustainability assessment methods that enable civil engineers to quickly and probabilistically measure sustainability indicators, and (2) creating multi-scale, fundamental engineering tools that integrate with sustainability assessment and facilitate setting and meeting sustainability targets throughout the life cycle of constructed facilities.
Most recently, my research forms the foundation of the newly created Stanford Center at the Incheon Global Campus (SCIGC) in South Korea, a university-wide research center examining the potential for smart city technologies to enhance the sustainability of urban areas. Located in the smart city of Songdo, Incheon, South Korea, SCIGC is a unique global platform to (i) advance research on the multi-scale design, construction, and operation of sustainable built environments, (ii) demonstrate to cities worldwide the scalable opportunities for new urban technologies (e.g., dense urban sensing networks, dynamic traffic management, autonomous vehicles), and (iii) improve the sustainability and innovative capacity of increasingly smarter cities globally.
With an engineering background in civil and environmental engineering and material science (BSE, MSE, PhD), and business training in strategy and finance (MBA), I continue to explore to the intersection of entrepreneurship education, innovation capital training, and the potential of startups to more rapidly transfer and scale technologies to solve some of the world's most challenging problems. -
Marly LeSene
Program Director, Communications & Initiatives, Bioengineering
Current Role at StanfordProgram Director, Communications & Initiatives
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Jure Leskovec
Professor of Computer Science
BioJure Leskovec is Professor of Computer Science at Stanford University. He is affiliated with the Stanford AI Lab, Machine Learning Group and the Center for Research on Foundation Models. In the past, he served as a Chief Scientist at Pinterest and was an investigator at Chan Zuckerberg BioHub. Leskovec recently pioneered the field of Graph Neural Networks and co-authored PyG, the most widely-used graph neural network library. Research from his group has been used by many countries to fight COVID-19 pandemic, and has been incorporated into products at Facebook, Pinterest, Uber, YouTube, Amazon, and more.
His research received several awards including Microsoft Research Faculty Fellowship in 2011, Okawa Research award in 2012, Alfred P. Sloan Fellowship in 2012, Lagrange Prize in 2015, and ICDM Research Contributions Award in 2019. His research contributions have spanned social networks, data mining and machine learning, and computational biomedicine with the focus on drug discovery. His work has won 12 best paper awards and 5 10-year test of time awards at a premier venues in these research areas.
Leskovec received his bachelor's degree in computer science from University of Ljubljana, Slovenia, PhD in machine learning from Carnegie Mellon University and postdoctoral training at Cornell University. -
Jerker Lessing
Adjunct Professor, Civil and Environmental Engineering
BioI earned my PhD at Lund University, Sweden, focused on strategic aspects of industrialized construction. I am the CEO and founder of Lessing Innovation, an advisory and consultancy firm within construction industrialization, innovation and sustainability. Between 2015-2023 I had the role as Director of Research & Development at BoKlok, Sweden’s leading housing company within industrialized construction. Before joining BoKlok, I worked for one of Sweden's leading engineering firms, Tyréns AB, where I led a team of Consultants focusing on Construction innovation. I was also engaged by leading Construction and housing companies as a consultant and advisor for numerous innovation- and development projects aimed at industrialized construction.
I am frequently engaged as a lecturer and moderator in both academia and industry, have co-authored a book about industrialized construction and I publish research in international Journals.
I have been a visiting researcher and lecturer at Stanford University since 2013 and since 2017 I am adjunct Professor here. At Stanford I have established and taught the course CEE324 Industrialized Construction, organized study trips for Stanford students and faculty to Sweden, as well as organized the Industrialized Construction Forum which is a industry-academia conference, held annually.
In my research I developed a framework describing contemporary industrialized construction, which has served as a foundation for academic research, as well as a guide for the industry’s development, in Sweden and internationally. -
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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Craig Levin
Professor of Radiology (Molecular Imaging Program at Stanford/Nuclear Medicine) and, by courtesy, of Physics, of Electrical Engineering and of Bioengineering
Current Research and Scholarly InterestsMolecular Imaging Instrumentation
Laboratory
Our research interests involve the development of novel instrumentation and software algorithms for in vivo imaging of cellular and molecular signatures of disease in humans and small laboratory animal subjects. -
Guy Maverick Levin
Undergraduate, Computer Science
BioI (legally) hacked my country’s national grading system in high school, then hacked everything else as a soldier in the Israeli military, and now I’m a student at Stanford.
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Philip Levis
Professor of Computer Science and of Electrical Engineering
BioProfessor 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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Marc Levoy
VMware Founders Professor in Computer Science and Professor of Electrical Engineering, Emeritus
BioLevoy's current interests include the science and art of photography, computational photography, light field sensing and display, and applications of computer graphics in microscopy and biology.
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Ricardo B Levy
Adjunct Professor, Chemical Engineering
BioRicardo Levy is an executive and entrepreneur whose career spans more than three decades of founding and building successful businesses. Born and raised in South America to a European immigrant family, he completed engineering studies in the United States at Stanford and Princeton before returning to South America to run a family business. In 1969 he sold the business and returned to the United States to complete his Ph.D. at Stanford in the field of catalytic chemistry. In 1974, after a number of years in the petroleum and petrochemical industry, he co-founded his first entrepreneurial venture, Catalytica, a research and development firm serving the chemical, pharmaceutical, and clean energy industries. The firm’s discoveries resulted in over one hundred patents and led to the formation of three companies, one of which became, under Levy’s leadership, the largest supplier to the pharmaceutical industry in North America and was sold to European firm DSM in 2000. He has served on several public and private Boards, is Lead Director of the Board of a private analytics software company, and serves on the Board of Aquarius Energy, Inc. From 2010 to 2016 served on the Advisory Board of the Santa Clara University Miller Center for Social Entrepreneurship, a global incubator of social entrepreneurs. He continues to be a mentor for that program. He is a Lecturer at the Stanford University Chemical Engineering Department, where he teaches a course on entrepreneurship, leadership and new venture creation. He is the author of the book “Letters to a Young Entrepreneur: Succeeding in Business Without Losing at Life – A Leader’s Ongoing Journey” published in 2015. Throughout his life, Dr. Levy has pursued a keen interest in spirituality and personal growth and his conviction that a person’s inner beliefs and purpose are deeply linked to business success. He has continually applied his diverse studies to his roles as a business leader, mentor and teacher.
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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.
