School of Engineering
Showing 601-700 of 960 Results
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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. -
Jake Owens
Masters Student in Chemical Engineering, admitted Spring 2025
Life Science Research Professional 1, Program-Tang, S.Current Role at StanfordLife Science Research Professional in the lab of Sindy Tang
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Crystal Pennywell
Faculty Affairs and Staffing Manager, Mechanical Engineering
Current Role at StanfordFaculty Affairs & Staffing Manager in the Mechanical Engineering Department
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Carrie Petersen
Adm Assoc 3, Computer Science
Current Role at StanfordFaculty Administrator
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Forest Olaf Peterson, Ph.D.
Research Affiliate, Civil and Environmental Engineering
Staff, Civil and Environmental EngineeringBioAs a staff research affiliate, I bring both blue-collar and white-collar perspectives to my role as a scholar of infrastructure.
For seven years, I was a concrete laborer on large infrastructure projects with the Laborers’ International Union of North America. Those years taught me social and environmental dimensions from the ground up.
My fellow laborers wanted to work safely. However, though skilled, we often did not have the information to succeed without unnecessary hardship, for example, on a large highway project we could have worked on another task while a broken piece of equipment was repaired, however, neither the crew nor our supervisors had access to a task schedule to see that (there was a schedule, it was just permission that was missing -- though even with permission the schedule was your typical P6 Gantt which even at best wouldn't have been informative). As a result, our supervisors forced us to continue work loading miles of heavy concrete barriers with a damaged loader. Our choices were to work, quit, or be fired; we were not the operator of the loader, we were the ground crew [2023 Edit: we should have called our Union]. Eventually, a two-ton barrier dropped and hit something that flipped it over where it came to rest just inches above my chest. My fellow workers celebrated my life. One cried in memory of a recent work fatality. We were told to get back to work.
The futility of the situation has left a lasting impression.
www.researchgate.net/profile/Forest-Peterson
www.linkedin.com/in/forest-peterson -
Mr Ryan K Pierce
Adjunct Lecturer, Bioengineering
BioRyan Pierce is a Lecturer in Bioengineering and Co-Founder of Nine. He has served as VP of Design and Innovation at Ventus Medical, VP of Business Development at Loma Vista Medical, a healthcare investor at De Novo Ventures, Rock Health, and SV Life Sciences, and a product designer at Concentric Medical and The Foundry/Zephyr Medical. An inventor on over 30 U.S. patents, he holds mechanical engineering degrees from MIT and Stanford, and an MBA from Harvard Business School.
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Jan B. Pietzsch, PhD
Adjunct Professor, Management Science and Engineering
BioDr. Pietzsch is co-founder, President and CEO of Wing Tech Inc., an independent, international health economics core lab and consultancy focused on value assessment of novel medical technologies and therapies. At Stanford, he holds an appointment as Adjunct Professor of Management Science and Engineering and serves as Director, Health Economics and Value, at the Stanford Mussallem Center for Biodesign, a globally leading program in health technology innovation. Dr. Pietzsch received his academic training at Stanford University (Ph.D., M.S.) and at the University of Karlsruhe, Germany (Dipl.-Wi.Ing.).
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Robert Prakash
Chief Technology Officer & Chief Operating Officer, Stanford Engineering Center for Global and Online Education
Current Role at StanfordChief Technology Officer & Chief Operating Officer, Stanford Engineering | Center for Global & Online Education
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Ashwin Rao
Adjunct Professor, Institute for Computational and Mathematical Engineering (ICME)
BioMy current research and teaching is in Machine Learning (specifically RL) with applications to Financial Markets and Retail businesses. My academic origins are in Algorithms Theory and Abstract Algebra. More details on my background are here: https://www.linkedin.com/in/ashwin2rao/
My Stanford Home Page: https://stanford.edu/~ashlearn
CME 241 ("RL for Finance"), which I teach each Winter quarter: http://cme241.stanford.edu -
Rahul Rejeev
Student Employee, Computer Science
Undergraduate, Vice Provost for Undergraduate EducationBio- An incoming Freshman interested in urbanism, computing, and the outdoors.
