School of Engineering
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Professor of Aeronautics and Astronautics
BioProfessor Chang's primary research interest is in the areas of multi-functional materials and intelligent structures with particular emphases on structural health monitoring, intelligent self-sensing diagnostics, and integrated health management for space and aircraft structures as well safety-critical assets and medical devices. His specialties include sensors and sensor network development, built-in self-diagnostics, integrated diagnostics and prognostics, damage tolerance and failure analysis for composite materials, and advanced multi-physics computational methods for multi-functional structures. Most of his work involves system integration and multi-disciplinary engineering in structural mechanics, electrical engineering, signal processing, and multi-scale fabrication of materials. His recent research topics include: Integrated health management for aircraft structures, bio-inspired intelligent sensory materials for fly-by-feel autonomous vehicles, active sensing diagnostics for composite structures, self-diagnostics for high-temperature materials, etc.
Donald E. Knuth Professor and Professor, by courtesy, of Mathematics
Current Research and Scholarly InterestsApproximation algorithms for discrete optimization problems with provable guarantees; convex optimization approaches for non-convex combinatorial optimization problems; efficient algorithmic techniques for processing, searching and indexing massive high-dimensional data sets; efficient algorithms for computational problems in high-dimensional statistics and optimization problems in machine learning; low-distortion embeddings of finite metric spaces.
Assistant Professor of Mechanical Engineering
BioOur group's research is focused at the intersection of mechanics and biology. We are interested in elucidating the underlying molecular mechanisms that give rise to the complex mechanical properties of cells, extracellular matrices, and tissues . Conversely, we are investigating how complex mechanical cues influence important biological processes such as cell division, differentiation, or cancer progression. Our approaches involve using force measurement instrumentation, such as atomic force microscopy, to exert and measure forces on materials and cells at the nanoscale, and the development of material systems for 3D cell culture that allow precise and independent manipulation of mechanical properties.
Helen L. Chen
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.
John R. Adler Professor, Professor of Neurosurgery and of Ophthalmology and, by courtesy, of Electrical Engineering
Current Research and Scholarly InterestsFunctional circuitry of the retina and design of retinal prostheses
BioJun-Chau Chien received the B.S. and M.S. degrees in Electrical Engineering from National Taiwan University in 2004 and 2006, respectively, and the Ph.D. degree in Electrical Engineering and Computer Sciences from University of California, Berkeley, in 2015. He is currently a post-doctoral research associate at Stanford University. He has held industrial positions at InvenSense, Xilinx, and HMicro working on mixed-signal integrated circuits for inertial sensors and wireline/wireless transceivers. He is broadly interested in innovative biotechnology for point-of-care diagnostics and medical imaging with emphasis on silicon-based approaches.