School of Engineering
Showing 3,701-3,750 of 6,463 Results
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Jeannie Meyer
Associate Director of Events, School of Engineering - External Relations
Current Role at StanfordPlan and coordinate donor relations, alumni relations and student outreach activities for the Dean's office in the School of Engineering.
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Bennet Meyers
Adjunct Professor, Electrical Engineering
BioI am a Staff Scientist with SLAC National Accelerator Laboratory, in the Grid Integration Systems and Mobility (GISMo) Lab in the Applied Energy Division. I completed my PhD in Electrical Engineering at Stanford University in Winter 2023, advised by Prof. Stephen Boyd. We recently wrote a book on signal decomposition, which can be found under my publications tab. More info available on my personal website.
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Paul Milgrom
Shirley R. and Leonard W. Ely, Jr. Professor in the School of Humanities and Sciences, Professor of Economics, Senior Fellow at SIEPR and Professor, by courtesy, of Economics at the GSB and of Management Science and Engineering
BioPaul Milgrom is the Shirley and Leonard Ely professor of Humanities and Sciences in the Department of Economics at Stanford University and professor, by courtesy, in the Stanford Graduate School of Business and in the Department of Management Sciences and Engineering. Born in Detroit, Michigan on April 20, 1948, he is a member of both the National Academy of Sciences and the American Academy of Arts and Sciences and a winner of the 2008 Nemmers Prize in Economics, the 2012 BBVA Frontiers of Knowledge award, the 2017 CME-MSRI prize for Innovative Quantitative Applications, and the 2018 Carty Award for the Advancement of Science.
Milgrom is known for his work on innovative resource allocation methods, particularly in radio spectrum. He is coinventor of the simultaneous multiple round auction and the combinatorial clock auction. He also led the design team for the FCC's 2017 incentive auction, which reallocated spectrum from television broadcast to mobile broadband.
According to his BBVA Award citation: “Paul Milgrom has made seminal contributions to an unusually wide range of fields of economics including auctions, market design, contracts and incentives, industrial economics, economics of organizations, finance, and game theory.” As counted by Google Scholar, Milgrom’s books and articles have received more than 80,000 citations.
Finally, Milgrom has been a successful adviser of graduate students, winning the 2017 H&S Dean's award for Excellence in Graduate Education. -
David Miller
W.M. Keck Foundation Professor of Electrical Engineering, Emeritus
Current Research and Scholarly InterestsDavid Miller’s research interests include the use of optics in switching, interconnection, communications, computing, and sensing systems, physics and applications of quantum well optics and optoelectronics, and fundamental features and limits for optics and nanophotonics in communications and information processing.
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Kyle Iman Miller
Undergraduate, Materials Science and Engineering
BioI'm a 2024 graduate of South Eugene High School in Oregon, passionate about triathlons, wilderness exploration, and environmental sustainability.
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Marek Miltner
Affiliate, Program-Rajagopal, R.
BioMarek is a researcher and postgraduate student in the fields of Artificial Intellignence for Energy Sustainability, and Technology Policy connected to it. He has also been teaching Computer Science courses at university level since 2018, and at Stanford since 2020.
He has received an MPhil in Technology Policy from the University of Cambridge (UK), and an MEng in Innovation Management and Artificial Intelligence from Czech Technical University (EU). In the past, he has led a research team that built the first autonomous electric vehicle in the Czech Republic. -
Lloyd B. Minor, MD
The Carl and Elizabeth Naumann Dean of the School of Medicine, Vice President for Medical Affairs, Stanford University, Professor of Otolaryngology - Head and Neck Surgery and Professor of Neurobiology and of Bioengineering, by courtesy
Current Research and Scholarly InterestsThrough neurophysiological investigations of eye movements and neuronal pathways, Dr. Minor has identified adaptive mechanisms responsible for compensation to vestibular injury in a model system for studies of motor learning. Following his discovery of superior canal dehiscence, he published a description of the disorder’s clinical manifestations and related its cause to an opening in the bone covering of the superior canal. He subsequently developed a surgical procedure to correct the problem.
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Brando Miranda
Ph.D. Student in Computer Science, admitted Autumn 2022
BioBio
Brando Miranda is a current Ph.D. Student at Stanford University under the supervision of Professor Sanmi Koyejo in the department of Computer Science. Previously he has been a graduate student at University of Illinois Urbana-Champaign, Research Assistant at MIT’s Center for Brain Minds and Machines (CBMM), and graduate student at the Massachusetts Institute of Technology (MIT). Miranda’s research interests lie in the field of meta-learning, foundation models for theorem proving, and human & brain inspired Artificial Intelligence (AI). Miranda completed his Master of Engineering in Electrical Engineering and Computer Science under the supervision of Professor Tomaso Poggio – where he did research on Deep Learning Theory. Miranda has been the recipient of several awards, including Most Cited Paper Certificate awarded by International Journal of Automation & Computing (IJAC), two Honorable Mention with the Ford Foundation Fellowship, Computer Science Excellence Saburo Muroga Endowed Fellow, Stanford School of Engineering fellowship, and is currently an EDGE Scholar at Stanford University.
About me (Informal)
I am a scientist and an engineer that is interested in moving forward the powerful and beautiful field of A.I. closer to true Artificial General Intelligence (AGI). I believe an important direction is understanding how to combine cognitive and neuro-inspired models, specially investigating how reasoning and learning work together. In addition, I also believe being able to adapt to new tasks using prior experience and knowledge is crucial for AGI to occur. Consequently, I decided to pursue a Ph.D in AI and machine learning. I currently work on meta-learning and machine learning (ML) for Theorem Proving (TP) at Stanford University. -
Eduardo Miranda
Professor of Civil and Environmental Engineering
Current Research and Scholarly InterestsRegional seismic risk assessment, ground motion directionality
