Precourt Institute for Energy
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Associate Professor of Materials Science and Engineering and of Photon Science
BioMelosh's research is focused on developing methods to detect and control chemical processes on the nanoscale, to create materials that are responsive to their local environment. The research goal incorporates many of the hallmarks of biological adaptability, based on feedback control between cellular receptors and protein expression. Similar artificial networks may be achieved by fabricating arrays of nanoscale devices that can detect and influence their local surroundings through ionic potential, temperature, mechanical motion, capacitance, or electrochemistry. These devices are particularly suited as smart biomaterials, where multiple surface-cell interactions must be monitored and adjusted simultaneously for optimal cell adhesion and growth. Other interests include precise control over self-assembled materials, and potential methods to monitor the diagnostics of complicated chemical systems, such as the effect of drug treatments within patients.
Molecular materials at interfaces
Directed dynamic self-assembly
Controlling molecular or biomolecular assembly and behavior
Influence of local electronic, optical or thermal stimuli
Social Science Research Associate, Precourt Energy Efficiency Center
BioDr. Carrie Armel is a research associate at Stanford’s Precourt Energy Efficiency Center (PEEC) where she investigates the diverse ways in which an understanding of human behavior can lead to improvements in energy efficiency. For example, the application of behavioral principles can produce significant energy reductions through interventions implemented at the policy, technology, built environment, media/marketing, and organizational/community levels. Dr. Armel co-chairs the Behavior, Energy, and Climate Change Conference; oversees Precourt Institute’s Behavior and Energy Bibliographic Database and Website; and teaches courses on behavior and energy at Stanford.
In addition to these initiatives, Dr. Armel develops specific energy efficiency interventions that apply behavioral and design principles, and develops measures to evaluate the efficacy of such interventions. Her most recent project involves a collaboration between academic and non-academic organizations to design and evaluate a technology that takes advantage of smart meters to provide feedback to residents on home electricity use.
Dr. Armel completed a Ph.D. in Cognitive Neuroscience from the University of California at San Diego, and postdoctoral work in Neuro-Economics at Stanford. In these programs she employed behavioral, psychophysiological, and neuroscientific methods to investigate how affect and motivation influence behavior. She most recently completed postdoctoral work at Stanford’s School of Medicine, translating intervention techniques used in health promotion work into the domain of energy efficiency.
Assistant Professor of Aeronautics and Astronautics and, by courtesy, of Electrical Engineering
BioProfessor Senesky's research is centered on the development of micro- and nano-systems for operation within extreme harsh environments. Her laboratory (EXtreme Environment Microsystems Laboratory, XLab) is researching the synthesis of temperature tolerant, chemically resistant, and radiation-hardened wide bandgap semiconductor thin films and nanostructures. These new material sets serve as a platform for the realization of sensor, actuator, and electronic components that can operate and collect data under the most hostile conditions. More specifically, smart and adaptable structures for extreme environments are enabled through the technology developed in her laboratory. Her research efforts support a variety of applications including deep space systems, hypersonic aircrafts, combustion monitoring and subsurface monitoring.
Assistant Professor of Mechanical Engineering
BioOur research is broadly defined by multiphysics problems in fluid dynamics and transport engineering. Our work contributes to the understanding of these problems primarily through theoretical tools such as techniques of applied mathematics as well as massively-parallel simulations. Numerical simulations enable quantitative visualization of the detailed physical processes which can be difficult to detect experimentally. They also provide quantitative data that guide the development of reduced-order models, which would naturally induce insight for design, optimization and control. Most of our work involves complementary interactions with experimental groups within and outside of Stanford. Specific current research topics include:
(1) Electro-convection and microscale chaos near electrochemical interfaces
(2) Particle-laden flows with applications in solar receivers
(3) Applications of superhydrophobic surfaces for drag reduction of turbulent flows
(4) Micro-bubble generation by breaking waves
(5) Electrokinetics of micropores and nanopores
Nicole M. Ardoin
Associate Professor of Education and Senior Fellow at the Woods Institute for the Environment
Current Research and Scholarly InterestsCommunity Involvement
Community/Youth Development and Organizations
Qualitative Research Methods
Otto N. Miller Professor in the School of Earth, Energy & Environmental Sciences, Emeritus
Current Research and Scholarly InterestsOptimization and reservoir Simulation.
Associate Professor of Civil and Environmental Engineering
BioJack Baker's research focuses on the use of probabilistic and statistical tools for modeling of extreme loads on structures. He has investigated probabilistic modeling of seismic hazards, improved characterization of earthquake ground motions, dynamic analysis of structures, prediction of the spatial extent of soil failures from earthquakes, and tools for modeling loads on spatially distributed infrastructure systems. Dr. Baker joined Stanford from the Swiss Federal Institute of Technology (ETH Zurich), where he was a visiting researcher in the Department of Structural Engineering. He received his Ph.D. in Structural Engineering from Stanford University, where he also earned M.S. degrees in Statistics and Structural Engineering. He has industry experience in seismic hazard assessment, ground motion selection, construction management, and modeling of catastrophe losses for insurance companies.
K. K. Lee Professor in the School of Engineering and Professor, by courtesy, of Materials Science and Engineering and of Chemistry
BioZhenan Bao joined Stanford University in 2004. She is currently a K.K. Lee Professor in Chemical Engineering, and with courtesy appointments in Chemistry and Material Science and Engineering. She is a member of the National Academy of Engineering and National Academy of Inventors. She founded the Stanford Wearable Electronics Initiative (eWEAR) and is the current faculty director. She is also an affiliated faculty member of Precourt Institute, Woods Institute, ChEM-H and Bio-X. Professor Bao received her Ph.D. degree in Chemistry from The University of Chicago in 1995 and joined the Materials Research Department of Bell Labs, Lucent Technologies. She became a Distinguished Member of Technical Staff in 2001. Professor Bao currently has more than 400 refereed publications and more than 60 US patents. She served as a member of Executive Board of Directors for the Materials Research Society and Executive Committee Member for the Polymer Materials Science and Engineering division of the American Chemical Society. She was an Associate Editor for the Royal Society of Chemistry journal Chemical Science, Polymer Reviews and Synthetic Metals. She serves on the international advisory board for Advanced Materials, Advanced Energy Materials, ACS Nano, Accounts of Chemical Reviews, Advanced Functional Materials, Chemistry of Materials, Chemical Communications, Journal of American Chemical Society, Nature Asian Materials, Materials Horizon and Materials Today. She is one of the Founders and currently sits on the Board of Directors of C3 Nano Co., a silicon valley venture funded company. She is Fellow of AAAS, ACS, MRS, SPIE, ACS POLY and ACS PMSE. She was a recipient of the L'Oreal UNESCO Women in Science Award in 2017. She was awarded the ACS Applied Polymer Science Award in 2017, ACS Creative Polymer Chemistry Award in 2013 ACS Cope Scholar Award in 2011, and was selected by Phoenix TV, China as 2010 Most influential Chinese in the World-Science and Technology Category. She is a recipient of the Royal Society of Chemistry Beilby Medal and Prize in 2009, IUPAC Creativity in Applied Polymer Science Prize in 2008, American Chemical Society Team Innovation Award 2001, R&D 100 Award, and R&D Magazine Editors Choice Best of the Best new technology for 2001. She has been selected in 2002 by the American Chemical Society Women Chemists Committee as one of the twelve Outstanding Young Woman Scientist who is expected to make a substantial impact in chemistry during this century. She is also selected by MIT Technology Review magazine in 2003 as one of the top 100 young innovators for this century. She has been selected as one of the recipients of Stanford Terman Fellow and has been appointed as the Robert Noyce Faculty Scholar, Finmeccanica Faculty Scholar and David Filo and Jerry Yang Faculty Scholar.
Lecturer, Graduate School of Business
BioSven Beiker is a Lecturer in Management at the GSB, Business Consultant with McKinsey & Company, and the former Executive Director of the Center for Automotive Research at Stanford. He covers the electrification, automation, connectivity, and sharing of automobiles together with respective opportunities from new technologies and business models. This is reflected in his teaching at the GSB as well as in his professional engagements.
Before coming to Stanford, Dr. Beiker worked at the BMW Group for more than 13 years. Between 1995 and 2008 he pursued responsibilities in technology scouting, innovation management, systems design, and series development. He primarily applied his expertise to chassis and powertrain projects, which also provided him with profound insights into the industry’s processes and best practices. In addition, he worked in three major automotive and technology locations: Germany, Silicon Valley, and Detroit.
Dr. Beiker received his MS (1995) and PhD (1999) degrees in Mechanical Engineering from the Technical University in Braunschweig, Germany. He published various technical papers and holds several patents in the fields of vehicle dynamics and powertrain technology.
Director, Precourt Institute for Energy and Professor of Energy Resources Engineering and Senior Fellow at the Precourt Institute for Energy
Current Research and Scholarly InterestsMy research is focused on reducing the risks of climate change by developing energy supplies with low carbon emissions. Students and post-doctoral fellows in my research group work on carbon dioxide storage, energy systems analysis, and pathways for transitioning to a low-carbon energy system.
Jagdeep and Roshni Singh Professor in the School of Engineering, Senior Associate Dean for Faculty & Academic Affairs, Senior Fellow at Precourt and Professor, by courtesy, of Materials Science & Eng, of Electrical Eng and of Chemistry
BioThe research in the Bent laboratory is focused on understanding and controlling surface and interfacial chemistry and applying this knowledge to a range of problems in semiconductor processing, micro- and nano-electronics, nanotechnology, and sustainable and renewable energy. Much of the research aims to develop a molecular-level understanding in these systems, and hence the group uses of a variety of molecular probes. Systems currently under study in the group include functionalization of semiconductor surfaces, mechanisms and control of atomic layer deposition, molecular layer deposition, nanoscale materials for light absorption, interface engineering in photovoltaics, catalyst and electrocatalyst deposition.
Professor of Geological Sciences, Emeritus
Current Research and Scholarly InterestsTheoretical geochemistry of reactions among aqueous solutions and minerals in magma-hydrothermal systems; environmental geochemistry of toxic metals in the Mother Lode Gold region, CA, and the emergence of life in the aftermath of the Moon-forming impact, ca. 4.4Ga.
Samsung Professor in the School of Engineering and Professor, by courtesy, of Computer Science and of Management Science and Engineering
BioStephen P. Boyd is the Samsung Professor of Engineering, and Professor of Electrical Engineering in the Information Systems Laboratory at Stanford University. He has courtesy appointments in the Department of Management Science and Engineering and the Department of Computer Science, and is member of the Institute for Computational and Mathematical Engineering. His current research focus is on convex optimization applications in control, signal processing, machine learning, and finance.
Professor Boyd received an AB degree in Mathematics, summa cum laude, from Harvard University in 1980, and a PhD in EECS from U. C. Berkeley in 1985. In 1985 he joined the faculty of Stanford's Electrical Engineering Department. He has held visiting Professor positions at Katholieke University (Leuven), McGill University (Montreal), Ecole Polytechnique Federale (Lausanne), Tsinghua University (Beijing), Universite Paul Sabatier (Toulouse), Royal Institute of Technology (Stockholm), Kyoto University, Harbin Institute of Technology, NYU, MIT, UC Berkeley, CUHK-Shenzhen, and IMT Lucca. He holds honorary doctorates from Royal Institute of Technology (KTH), Stockholm, and Catholic University of Louvain (UCL).
Professor Boyd is the author of many research articles and three books: Convex Optimization (with Lieven Vandenberghe, 2004), Linear Matrix Inequalities in System and Control Theory (with L. El Ghaoui, E. Feron, and V. Balakrishnan, 1994), and Linear Controller Design: Limits of Performance (with Craig Barratt, 1991). His group has produced many open source tools, including CVX (with Michael Grant), CVXPY (with Steven Diamond) and Convex.jl (with Madeleine Udell and others), widely used parser-solvers for convex optimization.
Professor Boyd has received many awards and honors for his research in control systems engineering and optimization, including an ONR Young Investigator Award, a Presidential Young Investigator Award, and the AACC Donald P. Eckman Award. In 2013, he received the IEEE Control Systems Award, given for outstanding contributions to control systems engineering, science, or technology. In 2012, Michael Grant and he were given the Mathematical Optimization Society's Beale-Orchard-Hays Award, given every three years for excellence in computational mathematical programming. He is a Fellow of the IEEE, SIAM, and INFORMS, a Distinguished Lecturer of the IEEE Control Systems Society, and a member of the National Academy of Engineering. He has been invited to deliver more than 90 plenary and keynote lectures at major conferences in control, optimization, signal processing, and machine learning.
He has developed and taught many undergraduate and graduate courses, including Signals & Systems, Linear Dynamical Systems, Convex Optimization, and a recent undergraduate course on Matrix Methods. His graduate convex optimization course attracts around 300 students from more than 20 departments. In 1991 he received an ASSU Graduate Teaching Award, and in 1994 he received the Perrin Award for Outstanding Undergraduate Teaching in the School of Engineering. In 2003, he received the AACC Ragazzini Education award, for contributions to control education, with citation: “For excellence in classroom teaching, textbook and monograph preparation, and undergraduate and graduate mentoring of students in the area of systems, control, and optimization.” In 2016 he received the Walter J. Gores award, the highest award for teaching at Stanford University. In 2017 he received the IEEE James H. Mulligan, Jr. Education Medal, for a career of outstanding contributions to education in the fields of interest of IEEE, with citation "For inspirational education of students and researchers in the theory and application of optimization."
Assistant Professor of Energy Resources Engineering
Current Research and Scholarly InterestsGreenhouse gas emissions, energy systems optimization, mathematical modeling of resource depletion, life cycle analysis
Professor of Materials Science and Engineering and, by courtesy, of Applied Physics
BioMark Brongersma is a Professor in the Department of Materials Science and Engineering at Stanford University. He received his PhD in Materials Science from the FOM Institute in Amsterdam, The Netherlands, in 1998. From 1998-2001 he was a postdoctoral research fellow at the California Institute of Technology. During this time, he coined the term “Plasmonics” for a new device technology that exploits the unique optical properties of nanoscale metallic structures to route and manipulate light at the nanoscale. His current research is directed towards the development and physical analysis of nanostructured materials that find application in nanoscale electronic and photonic devices. Brongersma received a National Science Foundation Career Award, the Walter J. Gores Award for Excellence in Teaching, the International Raymond and Beverly Sackler Prize in the Physical Sciences (Physics) for his work on plasmonics, and is a Fellow of the Optical Society of America, the SPIE, and the American Physical Society.
Entrepreneurship Professor in the School of Engineering
BioAt Stanford University since 1995, Professor Tom Byers focuses on education regarding high-growth entrepreneurship and technology innovation. He is the first holder of the Entrepreneurship Professorship endowed chair in the School of Engineering, and is also a Bass University Fellow in Undergraduate Education. He has been a faculty director since the inception of the Stanford Technology Ventures Program (STVP), which serves as the entrepreneurship center for the engineering school. STVP includes the Mayfield Fellows work/study program for undergraduates and the Entrepreneurship Corner (eCorner) collection of thought leader videos. He was the director and lead principal investigator of the Epicenter, which was funded by the National Science Foundation to stimulate entrepreneurship education at all US engineering and science colleges. He is the co-author of a textbook called Technology Ventures: From Idea to Enterprise that is published by McGraw-Hill.
He is a past recipient of the prestigious Gordon Prize by the National Academy of Engineering in the USA and Stanford University's Gores Award, which is its highest honor for excellence in teaching. He is a member of the board of trustees at Menlo College. He has been a member of advisory boards at Harvard Business School, UC Berkeley, World Economic Forum, and Conservation International. Tom was executive vice president and general manager of Symantec Corporation during its formation, and started his career at Accenture. Tom holds a BS in Industrial Engineering and Operations Research and an MBA from UC Berkeley. He also earned a PhD in Business Administration (Management Science) at UC Berkeley.
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.