School of Engineering
Showing 1-100 of 377 Results
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Bruce Cahan
Lecturer
Lecturer, d.schoolBioBruce Cahan is a Lecturer in Stanford University's Management Science and Engineering Department, a Lecturer at the Hasso Plattner Institute of Design (d.school), a Distinguished Scholar at Stanford's Human-Sciences and Technologies Advanced Research Institute's mediaX Program, and an active member of CodeX Fellow at Stanford’s Center for Legal Informatics. Bruce's course offerings at Stanford include Ethics of Finance and Financial Engineering (MS&E 148), Investing on the Buy Side of Wall Street (MS&E 449), Sustainable Banking (CEE 244A) and Redesigning Finance (d.school). As an Ashoka Fellow through Urban Logic, Bruce is creating the Space Commodities Exchange, GoodBank™(IO), an independent teaching bank for high-transparency, impacts-aware commercial bankers, and other projects.
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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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Scott Calvert
Sr. Associate Dean for Administration, School of Engineering
BioScott Calvert is responsible for school operations including finance, HR, IT, facilities, and research administration. He held a similar position at Stanford in the office of the vice provost for undergraduate education prior to joining the engineering team. Before coming to Stanford, Scott was a Navy fighter pilot for 21 years after receiving a commission through the NROTC program at Duke University where he earned a BSE in mechanical engineering. He made numerous deployments aboard aircraft carriers flying F-14s and F/A-18s, and between squadron assignments, he attended US Navy Test Pilot School on a cooperative program with the Naval Postgraduate School where he earned an MSAE in aeronautical engineering. In addition, he has an MBA from Columbia University.
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David Camarillo
Associate Professor of Bioengineering
On Leave from 04/01/2021 To 06/20/2021BioDavid B. Camarillo is Assistant 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.
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Emmanuel Candes
Barnum-Simons Chair in 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. -
Brian Cantwell
Edward C. Wells Professor in the School of Engineering and Professor of Mechanical Engineering
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.
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Khoa Cao, MD
Masters Student in Bioengineering, admitted Autumn 2019
BioKhoa is an Australian-trained physician, a London-trained health economist and an MS Candidate in Bioengineering at Stanford University as an Australian Fulbright Scholar. During his time at Stanford, he has kindled a deep passion for designing and building medical devices, and is excited to start a career in improving the lives of patients around the world with innovative medical technology.
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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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Matteo Cargnello
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.
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Gunnar Carlsson
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
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J. Edward Carryer
Adjunct Professor
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. -
Alex Carsello
Ph.D. Student in Electrical Engineering, admitted Autumn 2017
BioAlex is currently a Ph.D. student in Electrical Engineering advised by Mark Horowitz and affiliated with the AHA! Agile Hardware Center. He is interested in reconfigurable computing, domain-specific architectures for image processing, and hardware design methodology. He is currently working within the AHA Agile Hardware Project on a next-generation CGRA (coarse-grained reconfigurable architecture) chip generator. Alex received a B.S. in Electrical and Computer Engineering from Washington University in St. Louis in 2017.
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Carissa Carter
Adjunct Professor
BioCarissa Carter is the Director of Teaching + Learning at the Stanford d.school. In this role she guides the development of the d.school’s pedagogy, leads its instructors, and shapes its class offering. She teaches courses on the intersection of data and design, design for climate change, and maps and the visual sorting of information.
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Dennis R Carter
Professor of Mechanical Engineering, Emeritus
Current Research and Scholarly InterestsProfessor Carter studies the influence of mechanical loading upon the growth, development, regeneration, and aging of skeletal tissues. Basic information from such studies is used to understand skeletal diseases and treatments. He has served as President of the Orthopaedic Research Society and is a Fellow of the American Institute for Medical and Biological Engineering.
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Lynette Cegelski
Associate Professor of Chemistry and, by courtesy, of Chemical Engineering
Current Research and Scholarly InterestsOur research program integrates chemistry, biology, and physics to investigate the assembly and function of macromolecular and whole-cell systems. The genomics and proteomics revolutions have been enormously successful in generating crucial "parts lists" for biological systems. Yet, for many fascinating systems, formidable challenges exist in building complete descriptions of how the parts function and assemble into macromolecular complexes and whole-cell factories. We are inspired by the need for new and unconventional approaches to solve these outstanding problems and to drive the discovery of new therapeutics for human disease.
Our approach is different from the more conventional protein-structure determinations of structural biology. We employ biophysical and biochemical tools, and are designing new strategies using solid-state NMR spectroscopy to examine assemblies such as amyloid fibers, bacterial cell walls, whole cells, and biofilms. We would like to understand at a molecular and atomic level how bacteria self-assemble extracellular structures, including functional amyloid fibers termed curli, and how bacteria use such building blocks to construct organized biofilm architectures. We also employ a chemical genetics approach to recruit small molecules as tools to interrupt and interrogate the temporal and spatial events during assembly processes and to develop new strategies to prevent and treat infectious diseases. Overall, our approach is multi-pronged and provides training opportunities for students interested in research at the chemistry-biology interface. -
Ines Chami
Ph.D. Student in Computational and Mathematical Engineering, admitted Autumn 2018
BioI am a second-year Masters student in the ICME data science program. Prior to joining Stanford, I studied mathematics and computer science at Ecole Centrale Paris. My research interests include computer vision, natural language processing and, more specifically, multimodal analysis. My previous research was focused on cross-modal information retrieval (image annotation and automated text-illustration). I am currently working on information extraction from semi-structured data (pdf tables) within the Hazy Research group led by Prof. Ré at Stanford.
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Shubham Chandak
Ph.D. Student in Electrical Engineering, admitted Autumn 2016
Current Research and Scholarly InterestsDNA storage, genomic data compression, information theory, machine learning
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Edward Chang
Adjunct Professor, Computer Science
BioEdward Chang, a pioneer of data-driven deep learning, is an adjunct professor at Stanford CS department. He also serves as the president of DeepQ Healthcare (a business unit of HTC) and as an AI consultant at SmartNews. Prior to his current posts, Ed was a director of research at Google from 2006 to 2012, leading research and development in areas including scalable machine learning, indoor localization, Google Q&A, and recommendation systems. Between 1999 and 2006, Ed was a full professor of Electrical & Computer Engineering at the University of California, Santa Barbara. He joined UCSB in 1999 after receiving his PhD from Stanford University. He is a recipient of the NSF Career Award, Google Innovation Award, US$1M Tricorder XPRIZE (AI for disease diagnosis) Award. He is also an IEEE Fellow for his contributions to scalable machine learning.
Web page: http://infolab.stanford.edu/~echang/ -
Fu-Kuo Chang
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 multifunctional energy storage composites for transportation vehicles as well as safety-critical assets and medical devices. His specialties include embedded sensors and stretchable sensor networks with 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: Multifunctional energy storage composites, 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.
