Mechanical Engineering
Showing 1-50 of 50 Results
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Wei Cai
Professor of Mechanical Engineering and, by courtesy, of Materials Science and Engineering
BioPredicting mechanical strength of materials through theory and simulations of defect microstructures across atomic, mesoscopic and continuum scales. Developing new atomistic simulation methods for long time-scale processes, such as crystal growth and self-assembly. Applying machine learning techniques to materials research. Modeling and experiments on the metallurgical processes in metal 3D printing. Understanding microstructure-property relationship in materials for stretchable electronics, such as carbon nanotube networks and semiconducting elastomers.
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Mark A. Cappelli
Professor of Mechanical Engineering
BioProfessor Cappelli received his B.Sc. degree in Physics (McGill, 1980), and M.A.Sc and Ph.D. degrees in Aerospace Sciences (Toronto, 1983, 1987). He joined Stanford University in 1987 and is currently a Professor in the Department of Mechanical Engineering and Co-Director of the Engineering Physics Program. He carries out research in applied plasma physics with applications to a broad range of fields, including space propulsion, aerodynamics, medicine, materials synthesis, and fusion.
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Ovijit Chaudhuri
Professor of Mechanical Engineering and, by courtesy, of Bioengineering
Current Research and Scholarly InterestsWe study the physics of cell migration, division, and morphogenesis in 3D, as well cell-matrix mechanotransduction, or the process by which cells sense and respond to mechanical properties of the extracellular matrices. For both these areas, we use engineered biomaterials for 3D culture as artificial extracellular matrices.
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Helen L. Chen
Research Scientist
BioHelen L. Chen is a research scientist in the Designing Education Lab in the Department of Mechanical Engineering at Stanford University. She holds an undergraduate degree in communication from UCLA and a PhD in communication with a minor in psychology from Stanford. Helen is a board member for the Association for Authentic, Experiential and Evidence-Based Learning (AAEEBL) and is a co-author of Documenting Learning with ePortfolios: A Guide for College Instructors and co-executive editor of the International Journal of ePortfolio. She works closely with the Association of American Colleges and Universities and consults with institutions on general education redesign, authentic assessment approaches, design thinking, and personal branding and ePortfolios. Helen's current research and scholarship focus on engineering and entrepreneurship education; the pedagogy of portfolios and reflective practice in higher education; and redesigning how learning is recorded and recognized in traditional transcripts and academic credentials.
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Jianqing Chen
Affiliate, Mechanical Engineering - Design
Visiting Scholar, Mechanical Engineering - DesignBioI work on robotic remote control and manipulation systems utilizing reinforcement learning (RL). My focus is on developing RL-based algorithms that enable robots to learn optimal control strategies for tasks such as navigation, object manipulation, and interaction with dynamic environments. By training robots through trial and error, these systems continuously improve their performance, adapting to new situations and enhancing autonomous control. The goal is to achieve more efficient and precise robot behavior in real-world applications.
I worked over 7 years in investment and asset management. I lead 280 Capital, a Multi-Family Office with over $600M under management, focus on digital assets and cutting-edge technologies.
I have a strong background in AI, Storage, Encryption etc. I am in the great team to do designs in the latest enterprise-grade storage SSD system chips, from 16nm to 7nm, at Broadcom and SK Hynix. I also led the construction and optimization of large-scale biodata software and hardware data architectures at Roche to support scalable advanced DNA sequencing computations. I hold multiple U.S. patents, using various methods such as deep learning and AI to improve storage and computing efficiency. -
Woongbi Cho
Postdoctoral Scholar, Mechanical Engineering
BioWoongbi Cho is a postdoctoral scholar in the Department of Mechanical Engineering at Stanford University. He received his B.S. in Polymer Science and Engineering from Inha University in February 2019 , and his Ph.D. in Organic and Nano Engineering from Hanyang University in February 2025. His doctoral research focused on developing next-generation polymer composites, emphasizing processing-structure-property-performance (PSPP) relationships in liquid crystalline and sulfur-rich polymers. Currently, Woongbi's research interests center on adaptive materials, electromagnetically (EM)-driven soft robotics, polymer assembly mechanisms, and active metamaterials for applications in soft robotics, optoelectronics, and energy harvesting.
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Savannah Cofer
Ph.D. Student in Mechanical Engineering, admitted Autumn 2020
BioReconfigurable Origami Robotics, Stanford SHAPE Lab
PhD Mechanical Engineering
Stanford Knight-Hennessy Scholars
NSF GRFP Fellowship -
Steven Hartley Collins
Associate Professor of Mechanical Engineering and, by courtesy, of Bioengineering
BioSteve Collins is an Associate Professor of Mechanical Engineering at Stanford University, where he teaches courses on design and robotics and directs the Stanford Biomechatronics Laboratory. His primary focus is to speed and systematize the design and prescription of prostheses and exoskeletons using versatile device emulator hardware and human-in-the-loop optimization algorithms (Zhang et al. 2017, Science). Another interest is efficient autonomous devices, such as highly energy-efficient walking robots (Collins et al. 2005, Science) and exoskeletons that use no energy yet reduce the metabolic energy cost of human walking (Collins et al. 2015, Nature).
Prof. Collins received his B.S. in Mechanical Engineering in 2002 from Cornell University, where he performed undergraduate research on passive dynamic walking robots. He received his Ph.D. in Mechanical Engineering in 2008 from the University of Michigan, where he performed research on the dynamics and control of human walking. He performed postdoctoral research on humanoid robots at T. U. Delft in the Netherlands. He was a professor of Mechanical Engineering and Robotics at Carnegie Mellon University for seven years. In 2017, he joined the faculty of Mechanical Engineering at Stanford University.
Prof. Collins is a member of the Scientific Board of Dynamic Walking and the Editorial Board of Science Robotics. He has received the Young Scientist Award from the American Society of Biomechanics, the Best Medical Devices Paper from the International Conference on Robotics and Automation, and the student-voted Professor of the Year in his department. -
Murray Connelly Cutforth
Affiliate, Mechanical Engineering - Mechanics and Computation
BioMurray Cutforth is a research scientist on the PSAAP III project at the Center for Turbulence Research. He works with Professor Eric Darve on uncertainty quantification of laser-ignited turbulent combustion. During his PhD at the University of Cambridge, Murray studied sharp interface methods for multi-material flow, and subsequently has worked on applications of machine learning in medical image and text analysis in industry.
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Mark Cutkosky
Fletcher Jones Professor in the School of Engineering
BioCutkosky applies analyses, simulations, and experiments to the design and control of robotic hands, tactile sensors, and devices for human/computer interaction. In manufacturing, his work focuses on design tools for rapid prototyping.
