School of Engineering
Showing 101-200 of 501 Results
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Christopher Manning
Thomas M. Siebel Professor of Machine Learning, Professor of Linguistics, of Computer Science and Senior Fellow at the Stanford Institute for HAI
BioChristopher Manning is the inaugural Thomas M. Siebel Professor of Machine Learning in the Departments of Linguistics and Computer Science at Stanford University, Director of the Stanford Artificial Intelligence Laboratory (SAIL), and an Associate Director of the Stanford Institute for Human-Centered Artificial Intelligence (HAI). His research goal is computers that can intelligently process, understand, and generate human languages. Manning was an early leader in applying Deep Learning to Natural Language Processing (NLP), with well-known research on the GloVe model of word vectors, attention, machine translation, question answering, self-supervised model pre-training, tree-recursive neural networks, machine reasoning, dependency parsing, sentiment analysis, and summarization. He also focuses on computational linguistic approaches to parsing, natural language inference and multilingual language processing, including being a principal developer of Stanford Dependencies and Universal Dependencies. Manning has coauthored leading textbooks on statistical approaches to NLP (Manning and Schütze 1999) and information retrieval (Manning, Raghavan, and Schütze, 2008), as well as linguistic monographs on ergativity and complex predicates. His online CS224N Natural Language Processing with Deep Learning videos have been watched by hundreds of thousands of people. He is an ACM Fellow, a AAAI Fellow, and an ACL Fellow, and a Past President of the ACL (2015). His research has won ACL, Coling, EMNLP, and CHI Best Paper Awards, and an ACL Test of Time Award. He has a B.A. (Hons) from The Australian National University and a Ph.D. from Stanford in 1994, and an Honorary Doctorate from U. Amsterdam in 2023, and he held faculty positions at Carnegie Mellon University and the University of Sydney before returning to Stanford. He is the founder of the Stanford NLP group (@stanfordnlp) and manages development of the Stanford CoreNLP and Stanza software.
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Andrew J. Mannix
Assistant Professor of Materials Science and Engineering
Current Research and Scholarly InterestsAtomically thin 2D materials incorporated into van der Waals heterostructures are a promising platform to deterministically engineer quantum materials with atomically resolved thickness and abrupt interfaces across macroscopic length scales while retaining excellent material properties. Because 2D materials exhibit a wide range of electronic characteristics with properties that often rival conventional electronic materials — e.g., metals, semiconductors, insulators, and superconductors — it is possible to combine them in virtually infinite variety to achieve diverse heterostructures. Furthermore, the van der Waals interface enables interlayer twist engineering to modify the interlayer symmetry, periodic potential (moiré superlattice), and hybridization, which has resulted in novel quantum states of matter. Many of these heterostructures, especially those involving specific interlayer twist angles, would be otherwise infeasible through direct growth.
The Mannix Group is developing a unique set of in-house capabilities to systematically elucidate the fundamental structure-property relationships underpinning the growth of 2D materials and their inclusion into van der Waals heterostructures. Greater understanding will allow us to provide a platform for engineering the properties of matter at the atomic scale and offer guidance for emerging applications in novel electronics and in quantum information science.
To accomplish this, we employ: precise growth techniques such as chemical vapor deposition and molecular beam epitaxy; automated van der Waals assembly; and atomically-resolved microscopy including cryo-STM/AFM. -
Daniela Marin
Ph.D. Student in Chemical Engineering, admitted Autumn 2020
Other Tech - Graduate, Stanford Nano Shared Facilities Service CenterBioDaniela Marin is a first-year graduate student at Stanford University. She previously worked as a post-undergraduate researcher at the National Renewable Energy Laboratory and worked toward advancing the commercialization of bio-derived materials and methods of plastics recycling. Daniela holds a B.S. in Chemical Engineering and a B.A. in Physics through a dual-degree program with Columbia University and William Jewell College. Her education is combined with undergraduate research that focused on mitigating the effects of viscous fingering using step-growth polymerization to stabilize the instability. Her transition to Columbia introduced her to the field of atmospheric aerosols where she worked with Professor V. Faye McNeill’s group to investigate a photoinduced particle growth process and its role in secondary organic aerosol formation. She is enthusiastic about using her technical abilities and interest in the environment to contribute to Stanford Chemical Engineering's mission of developing technologies that will improve and maintain environmental health.
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Alison Marsden
Douglass M. and Nola Leishman Professor of Cardiovascular Diseases, Professor of Pediatrics (Cardiology) and of Bioengineering and, by courtesy, of Mechanical Engineering
Current Research and Scholarly InterestsThe Cardiovascular Biomechanics Computation Lab at Stanford develops novel computational methods for the study of cardiovascular disease progression, surgical methods, and medical devices. We have a particular interest in pediatric cardiology, and use virtual surgery to design novel surgical concepts for children born with heart defects.
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Russell Martin
Ph.D. Student in Mechanical Engineering, admitted Autumn 2020
BioPhD student with the Stanford Biomechatronics Lab (biomechatronics.stanford.edu).
LinkedIn: linkedin.com/in/russell-m-martin/
Scholar: scholar.google.com/citations?user=h1vmmG0AAAAJ&hl=en -
Todd Martinez
David Mulvane Ehrsam and Edward Curtis Franklin Professor of Chemistry and Professor of Photon Science
Current Research and Scholarly InterestsAb initio molecular dynamics, photochemistry, molecular design, mechanochemistry, graphical processing unit acceleration of electronic structure and molecular dynamics, automated reaction discovery, ultrafast (femtosecond and attosecond) chemical phenomena
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Gilbert Masters
Professor (Teaching) of Civil and Environmental Engineering, Emeritus
BioGILBERT M. MASTERS
MAP EMERITUS PROFESSOR OF SUSTAINABLE ENERGY
B.S. (1961) AND M.S. (1962) UNIVERSITY OF CALIFORNIA, LOS ANGELES
PH.D. (1966) Electrical Engineering, STANFORD UNIVERSITY
Gil Masters has focused on energy efficiency and renewable energy systems as essential keys to slowing global warming, enhancing energy security, and improving conditions in underserved, rural communities. Although officially retired in 2002, he has continued to teach CEE 176A: Energy-Efficient Buildings, and CEE 176B: Electric Power: Renewables and Efficiency. He is the author or co-author of ten books, including Introduction to Environmental Engineering and Science (3rd edition, 2008), Renewable and Efficient Electric Power Systems, (2nd edition, 2013), and Energy for Sustainability: Technology, Policy and Planning (2nd edition, 2018). Professor Masters has been the recipient of a number of teaching awards at Stanford, including the university's Gores Award for Excellence in Teaching, and the Tau Beta Pi teaching award from the School of Engineering. Over the years, more than 10,000 students have enrolled in his courses. He served as the School of Engineering Associate Dean for Student Affairs from 1982-1986, and he was the Interim Chair of the Department of Civil and Environmental Engineering in 1992-93. -
Meagan Mauter
Associate Professor of Photon Science, Senior Fellow at the Woods Institute for the Environment and at the Precourt Institute for Energy and Associate Professor, by courtesy, of Chemical Engineering
BioProfessor Meagan Mauter is appointed as an Associate Professor of Civil & Environmental Engineering and as a Center Fellow, by courtesy, in the Woods Institute for the Environment. She directs the Water and Energy Efficiency for the Environment Lab (WE3Lab) with the mission of providing sustainable water supply in a carbon-constrained world through innovation in water treatment technology, optimization of water management practices, and redesign of water policies. Ongoing research efforts include: 1) developing automated, precise, robust, intensified, modular, and electrified (A-PRIME) water desalination technologies to support a circular water economy, 2) identifying synergies and addressing barriers to coordinated operation of decarbonized water and energy systems, and 3) supporting the design and enforcement of water-energy policies.
Professor Mauter also serves as the research director for the National Alliance for Water Innovation, a $110-million DOE Energy-Water Desalination Hub addressing water security issues in the United States. The Hub targets early-stage research and development of energy-efficient and cost-competitive technologies for desalinating non-traditional source waters.
Professor Mauter holds bachelors degrees in Civil & Environmental Engineering and History from Rice University, a Masters of Environmental Engineering from Rice University, and a PhD in Chemical and Environmental Engineering from Yale University. Prior to joining the faculty at Stanford, she served as an Energy Technology Innovation Policy Fellow at the Belfer Center for Science and International Affairs and the Mossavar Rahmani Center for Business and Government at the Harvard Kennedy School of Government and as an Associate Professor of Engineering & Public Policy, Civil & Environmental Engineering, and Chemical Engineering at Carnegie Mellon University. -
Michaëlle Ntala Mayalu
Assistant Professor of Mechanical Engineering and, by courtesy, of Bioengineering
BioDr. Michaëlle N. Mayalu is an Assistant Professor of Mechanical Engineering. She received her Ph.D., M.S., and B.S., degrees in Mechanical Engineering at the Massachusetts Institute of Technology. She was a postdoctoral scholar at the California Institute of Technology in the Computing and Mathematical Sciences Department. She was a 2017 California Alliance Postdoctoral Fellowship Program recipient and a 2019 Burroughs Wellcome Fund Postdoctoral Enrichment Program award recipient. She is also a 2023 Hypothesis Fund Grantee.
Dr. Michaëlle N. Mayalu's area of expertise is in mathematical modeling and control theory of synthetic biological and biomedical systems. She is interested in the development of control theoretic tools for understanding, controlling, and predicting biological function at the molecular, cellular, and organismal levels to optimize therapeutic intervention.
She is the director of the Mayalu Lab whose research objective is to investigate how to optimize biomedical therapeutic designs using theoretical and computational approaches coupled with experiments. Initial project concepts include: i) theoretical and experimental design of bacterial "microrobots" for preemptive and targeted therapeutic intervention, ii) system-level multi-scale modeling of gut associated skin disorders for virtual evaluation and optimization of therapy, iii) theoretical and experimental design of "microrobotic" swarms of engineered bacteria with sophisticated centralized and decentralized control schemes to explore possible mechanisms of pattern formation. The experimental projects in the Mayalu Lab utilize established techniques borrowed from the field of synthetic biology to develop synthetic genetic circuits in E. coli to make bacterial "microrobots". Ultimately the Mayalu Lab aims to develop accurate and efficient modeling frameworks that incorporate computation, dynamical systems, and control theory that will become more widespread and impactful in the design of electro-mechanical and biological therapeutic machines. -
David Mazieres
Professor of Computer Science
BioMazieres investigates ways to improve the security of operating systems, file systems, and distributed systems. In addition, he has worked on large-scale peer-to-peer systems and e-mail privacy.
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Zahra Mazlaghani
Ph.D. Student in Civil and Environmental Engineering, admitted Winter 2023
Masters Student in Civil and Environmental Engineering, admitted Autumn 2023Current Research and Scholarly InterestsI work on advanced numerical methods that harness the massive parallelism of GPUs, i.e., real-time computer chips originally developed for graphics rendering, to overcome computational bottlenecks in structural simulations, specifically in the real-time hybrid simulation (RTHS) of tall buildings in order to enable more realistic and faster simulations. I use graphics processors, for the first time, to accelerate RTHS to enable higher-fidelity "on-the-fly" simulation of civil structures.
