School of Engineering
Showing 601-650 of 1,007 Results
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Tiffany Murray
Executive Associate to Russ B. Altman, MD, PhD & Teri E. Klein, PhD, Bioengineering
Current Role at StanfordExecutive Associate to
Russ B. Altman, MD, PhD
Professor, Departments of Bioengineering, Genetics, Medicine & Biomedical Data Science
Teri E. Klein, PhD
Professor, Departments of Biomedical Data Science & Medicine -
Reza Nasiri Mahalati
Adjunct Professor, Electrical Engineering
BioReza Nasiri Mahalati is an Adjunct Professor in the department of Electrical Engineering at Stanford University and a senior hardware design engineer at Apple Inc. His current work focuses on the development of new hardware technologies that enable more fluid human computer interactions. He received the B.S. degree in Electrical Engineering from the Sharif University of Technology, Tehran, Iran in 2008, and the M.S. and Ph.D. degrees in Electrical Engineering from Stanford University in 2010 and 2013, respectively. While at Stanford, his research focused on mode-division multiplexing in multi-mode optical fibers, fiber-based imaging, optimization and digital signal processing.
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Dale Nesbitt
Adjunct Lecturer, Management Science and Engineering
BioDr. Nesbitt has been teaching MSE 252 (Decision Analysis), MSE 352 (Professional Decision Analysis), MSE 353 (Advanced Decision Analysis), MSE 299 (Coercion Free Social Systems), and MSE 254 (The Ethical Analyst) in the department. He has practiced and taught in these fields, and economic modeling, for several decades.
Dr. Nesbitt has been researching Bayesian statistical analysis, ethics, and ethical theories in a general setting (i.e., personal ethics not necessarily associated with any particular field or discipline). His research focuses on ethics per se, not ethics related to a specific technology, commodity, discipline, area, or practice. He is currently focused on ethics from a socio-personal perspective, one in which coercion is minimized or sanctioned, one that blends the utilitarian approach of Harsanyi, Mill, Bentham, and others with the uncoerced game theory approach of Nash and Harsanyi. The objective of this research is to give a roadmap for people (and groups) to behave ethically and do good and also to be able to consider ethical decision making under uncertainty.
Dr. Nesbitt is completing a monograph on Bayesian Linear Regression intended to unify key dimensions of the field around a pure Bayesian probabilistic viewpoint, what he calls “unabashed Bayes.” The monograph is scheduled for completion in 2022. Dr. Nesbitt continues to research and practice Bayesian regression and probabilistic analysis, recently applying it to disciplines such as automobile selection, jet technology and fuel projection, and petrochemicals demand.
Dr. Nesbitt has focused for many years on building economic-environmental models of the key energy commodities—oil and refined products, natural gas, petrochemicals, automobiles, electric power generation, natural gas and electricity storage, renewable energy, environmental emissions and remediation, and demand/emission. His models and work in the field are well known, extending the classical economic equilibrium approach.
Dr. Nesbitt has worked and published in the field of semi-Markovian Decision Problems (the area of his thesis at Stanford), energy economics, cartels and monopolies, methods for modeling markets, Bayesian statistics, and free (meaning uncoerced) social systems. -
Lars Thorben Neustock
Lecturer, d.school
BioLars Thorben is a PhD student in Electrical Engineering. In his research, he uses numerical methods to teach computers how to optimize physical devices. Here, he focuses on ion optical devices. The unintuitive shapes that his algorithms design can explore the full range of additive manufacturing of metallic devices. His past work includes the optimization of photonic crystal structures and virtual instrumentation for online education. Lars is an Accel Innovation Scholar at the Stanford Technology Ventures Program. Moreover, he was a Creativity in Research scholar, a program that he is now co-teaching. He is supported by the ERP-Program from the German Federal Ministry of Economics and Energy.
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Michael Ortiz
Adjunct Professor, Mechanical Engineering - Mechanics and Computation
BioProfessor Ortiz received a BS degree in Civil Engineering from the Polytechnic University of Madrid, Spain, and MS and Ph.D. degrees in Civil Engineering from the University of California at Berkeley. From 1984-1995 he held a faculty position in the Division of Engineering of Brown University, where he carried out research activities in the fields of mechanics of materials and computational solid mechanics. In 1995 he became Professor of Aeronautics at the California Institute of Technology where he is Frank and Ora Lee Marble Professor Emeritus of Aeronautics and Mechanical Engineering since his retirement in August of 2020. He served as the director of Caltech’s DoE/PSAAP Center on High-Energy Density Dynamics of Materials from 2008-2013. He concurrently holds a Bonn Research Chair in the Institute for Applied Mathematics of Bonn University and is Adjunct Professor and Distinguished Timoshenko Fellow in Mechanical Engineering at Stanford University. Professor Ortiz has been a Fulbright Scholar, a Sherman Fairchild Distinguished Scholar at Caltech, Midwest and Southwest Mechanics Seminar Series Distinguished Speaker, an elected member-at-large of the US Association for Computational Mechanics, a, Alexander von Humboldt Senior Fellow at the University of Stuttgart and the Max-Planck Institute for Mathematics in the Sciences in Leipzig, and a Hans Fischer Senior Fellow of the Institute of Advanced Studies of the Technical University of Munich. He is a Fellow of the US Association for Computational Mechanics, elected Fellow of the American Academy of Arts & Sciences and an elected Member of the US National Academy of Engineering. Professor Ortiz is the recipient of the 2002 IACM International Computational Mechanics Award, the 2007 Ted Belytschko Medal of the USACM, the inaugural 2008 Rodney Hill Prize conferred every four years by the IUTAM, the 2011 Zienkiewicz Prize of the Spanish Association for Numerical Methods in Engineering (SEMNI), the 2015 Timoshenko Medal of the ASME and the 2019 John von Neumann Medal of the USACM.. Professor Ortiz has served in the University of California Office of the President Science and Technology Panel, the Los Alamos National Laboratory T-Division Review Committee, the Lawrence Livermore National Laboratory Predictive Science Panel, the Sandia National Laboratories Engineering Sciences External Review Panel, the Lawrence Livermore National Laboratory Chemistry, Materials, Earth and Life Sciences Directorate Review Committee, the Lawrence Livermore National Laboratory Engineering Directorate Review Committee and the National Research Council Panel for the Evaluation of QMU. He has been editor of the Journal of Engineering Mechanics of ASCE and of the Journal of Applied Mechanics of the ASME and is presently editorial advisor of the Journal of the Mechanics and Physics of Solids and member of the editorial boards of the Archive for Rational Mechanics and Analysis, the International Journal for Numerical Methods in Engineering and of Computer Methods in Applied Mechanics and Engineering Journal.
