School of Engineering
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Professor of Mechanical Engineering and, by courtesy, of Materials Science and EngineeringOn Partial Leave from 10/01/2021 To 12/31/2021
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.
Associate Professor of BioengineeringOn Leave from 10/01/2021 To 12/31/2021
BioDavid B. Camarillo is Associate Professor of Bioengineering, (by courtesy) Mechanical Engineering and Neurosurgery at Stanford University. Dr. Camarillo holds a B.S.E in Mechanical and Aerospace Engineering from Princeton University, a Ph.D. in Mechanical Engineering from Stanford University and completed postdoctoral fellowships in Biophysics at the UCSF and Biodesign Innovation at Stanford. Dr. Camarillo worked in the surgical robotics industry at Intuitive Surgical and Hansen Medical, before launching his laboratory at Stanford in 2012. His current research focuses on precision human measurement for multiple clinical and physiological areas including the brain, heart, lungs, and reproductive system. Dr. Camarillo has been awarded the Hellman Fellowship, the Office of Naval Research Young Investigator Program award, among other honors including multiple best paper awards in brain injury and robotic surgery. His research has been funded by the NIH, NSF, DoD, as well as corporations and private philanthropy. His lab’s research has been featured on NPR, the New York Times, The Washington Post, Science News, ESPN, and TED.com as well as other media outlets aimed at education of the public.
Barnum-Simons Chair of Math and Statistics, and Professor of Statistics and, by courtesy, of Electrical Engineering
BioEmmanuel Candès is the Barnum-Simons Chair in Mathematics and Statistics, a professor of electrical engineering (by courtesy) and a member of the Institute of Computational and Mathematical Engineering at Stanford University. Earlier, Candès was the Ronald and Maxine Linde Professor of Applied and Computational Mathematics at the California Institute of Technology. His research interests are in computational harmonic analysis, statistics, information theory, signal processing and mathematical optimization with applications to the imaging sciences, scientific computing and inverse problems. He received his Ph.D. in statistics from Stanford University in 1998.
Candès has received several awards including the Alan T. Waterman Award from NSF, which is the highest honor bestowed by the National Science Foundation, and which recognizes the achievements of early-career scientists. He has given over 60 plenary lectures at major international conferences, not only in mathematics and statistics but in many other areas as well including biomedical imaging and solid-state physics. He was elected to the National Academy of Sciences and to the American Academy of Arts and Sciences in 2014.
Edward C. Wells Professor in the School of Engineering and Professor of Mechanical Engineering, Emeritus
BioProfessor Cantwell's research interests are in the area of turbulent flow. Recent work has centered in three areas: the direct numerical simulation of turbulent shear flows, theoretical studies of the fine-scale structure of turbulence, and experimental measurements of turbulent structure in flames. Experimental studies include the development of particle-tracking methods for measuring velocity fields in unsteady flames and variable density jets. Research in turbulence simulation includes the development of spectral methods for simulating vortex rings, the development of topological methods for interpreting complex fields of data, and simulations of high Reynolds number compressible and incompressible wakes. Theoretical studies include predictions of the asymptotic behavior of drifting vortex pairs and vortex rings and use of group theoretical methods to study the nonlinear dynamics of turbulent fine-scale motions. Current projects include studies of fast-burning fuels for hybrid propulsion and decomposition of nitrous oxide for space propulsion.
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.
Assistant Professor of Chemical Engineering and, by courtesy, of Materials Science and Engineering
BioMatteo Cargnello is Assistant Professor of Chemical Engineering and Terman Faculty Fellow. His group research interests are in the preparation and use of uniform and tailored materials for heterogeneous catalysis and photocatalysis and the technological exploitation of nanoparticles and nanocrystals. Reactions of interest are related to sustainable energy generation and use, control of emissions of greenhouse gases, and better utilization of abundant building blocks (methane, biomass). Dr. Cargnello received his Ph.D. in Nanotechnology in 2012 at the University of Trieste (Italy) and he was then a post-doctoral scholar in the Chemistry Department at the University of Pennsylvania (Philadelphia) before joining the Faculty at Stanford.
Ann and Bill Swindells Professor, Emeritus
BioDr. Carlsson has been a professor of mathematics at Stanford University since 1991. In the last ten years, he has been involved in adapting topological techniques to data analysis, under NSF funding and as the lead PI on the DARPA “Topological Data Analysis” project from 2005 to 2010. He is the lead organizer of the ATMCS conferences, and serves as an editor of several Mathematics journals
J. Edward Carryer
BioEd Carryer graduated from the Illinois Institute of Technology in 1975 with a BSE as a member of the first graduating class of the Education and Experience in Engineering Program. This innovative project-based learning program taught him that he could learn almost anything that he needed to know and set him on a path of lifelong learning. That didn’t, however, keep him from going back to school.
Upon completion of his Master’s Degree in Bio-Medical Engineering at the University of Wisconsin Madison in 1978, he was seduced by his love of cars, and instead of going into medical device design, he went to work for Ford on the 1979 Turbocharged Mustang. In later programs at Ford, he got to apply the background that he had gained in electronics and microcontrollers during his graduate work to the 1983 Turbocharged Mustang and Thunderbird and the 1984 SVO Mustang. After leaving Ford, Ed worked on the design and implementation of engine control software for GM and on a stillborn development program to put a turbocharged engine into the Renault Alliance at AMC before deciding to return once again to school. At Stanford University, he did research in the engine lab and earned his PhD in 1992.
While working on his PhD, Ed got involved in teaching the graduate course sequence in mechatronics that is known at Stanford as Smart Product Design. He took over teaching the courses first part time in 1989, then full time after completing his PhD. In teaching mechatronics, Ed seems to have found his calling. The integration of mechanical, electronic, and software design with teaching others how to use all of this to make new products hits all his buttons. He is currently a Consulting Professor and the Director of the Smart Product Design Lab (SPDL). He teaches graduate courses in mechatronics in the Mechanical Engineering department and an undergraduate course in mechatronics in the Electrical Engineering department.
Since 1984, Ed has maintained a consultancy focused on helping firms apply electronics and software in the creation of integrated electromechanical solutions (in 1984, almost no one was using the term mechatronics).The projects that he has worked on include an engine controller for an outboard motor manufacturer, an automated blood gas analyzer, a turbocharger boost control system for a new type of turbocharger, and a heated glove for arctic explorers. His most recent project involved using ZigBee radios and local structural model evaluation to create a wireless network of intelligent sensors to monitor and evaluate the structural health of buildings and transportation infrastructure.