Precourt Institute for Energy
Showing 11-20 of 150 Results
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.
Michael G. Borja
Finance and Administration Manager, Precourt Institute for Energy
BioA native to the Central Valley, Michael G. Borja developed a career focus within business/finance during his undergrad experience at UC Davis, earning a BS in Economics. Michael started his Stanford career supporting first and second year student programs as part of the business unit for Stanford Introductory Studies with the Vice Provost Office for Undergraduate Education (VPUE). He then transitioned into the operations with Stanford Energy. As a contributing member with the Precourt Institute for Energy, Michael is proud to support the operations of several upcoming and groundbreaking achievements within energy research.
Samsung Professor in the School of 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 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 four books: Introduction to Applied Linear Algebra: Vectors, Matrices, and Least-Squares (with Lieven Vandenberghe, 2018), Convex Optimization (with Lieven Vandenberghe, 2004), Linear Matrix Inequalities in System and Control Theory (with El Ghaoui, Feron, and 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, for excellence in computational mathematical programming. He is a Fellow of the IEEE, SIAM, INFORMS, and IFAC, a Distinguished Lecturer of the IEEE Control Systems Society, a member of the US National Academy of Engineering, a foreign member of the Chinese Academy of Engineering, and a foreign member of the National Academy of Engineering of Korea. 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."
Associate Professor of Energy Science Engineering and Senior Fellow at the Precourt Institute for Energy
Current Research and Scholarly InterestsGreenhouse gas emissions, energy systems optimization, mathematical modeling of resource depletion, life cycle analysis
Stephen Harris Professor and 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
Current Research and Scholarly InterestsApplied ethics, responsible innovation, and global entrepreneurship education (see http://peak.stanford.edu).
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.
Managing Director, SECA - Stanford Energy Corporate Affiliates, Precourt Institute for Energy
BioJim Chen leads a number of energy programs at Stanford Energy,
including Stanford’s new Hydrogen Initiative; Stanford’s energy storage initiative,
StorageX; and Stanford’s integrated energy program, Stanford Energy Corporate
Affiliates (SECA). Dr. Chen was also the founding Managing Director of Bits & Watts,
Stanford’s initiative focusing on the grid of the 21st century, launched in 2016.
Dr. Chen is enthusiastic about the global energy transformation and building a more
sustainable society through innovation. At Stanford, Dr. Chen creates and expands
impactful global communities of practice that enable industrial-academic-government
collaboration in energy research and scale-up. Dr. Chen is also a leader in Stanford
Energy’s global events including its regional roundtables and Global Energy
Forum. Finally, Dr. Chen is deeply involved in Stanford’s innovation ecosystem,
advising student groups, start-up companies, and accelerators. Dr. Chen’s research
interests include hydrogen, energy storage, the circular economy, decarbonizing
transportation, and integrated energy systems. Dr. Chen’s teaching roles include
lecturing for Stanford’s Department of Materials Science and Engineering, and for
Stanford Energy’s Hydrogen Economy Seminar.
Dr. Chen is passionate about global energy entrepreneurship and innovation. He works
with energy agencies around the world promoting global collaboration, accelerating
innovation, and sparking entrepreneurship. He also serves on a number of advisory
councils, including on EPRI and GTI’s Low Carbon Research Initiative’s (LCRI)
technical advisory board.
Dr. Chen came to Stanford University after 25 years in industry, bringing a broad
background in energy and technology, with a specialization in technology and product
development. He has held technical positions at Lawrence Berkeley Labs, GTE Labs,
IBM, and AT&T Bell Labs, as well as technology executive positions at both starts-ups
and Fortune 500 companies, including FormFactor and Eaton.
Dr. Chen received a PhD from the Massachusetts Institute of Technology and MS from
the University of California, Berkeley — both in materials science and engineering —
and holds a BS from the University of California, Berkeley in electrical engineering.