School of Engineering
Showing 401-500 of 516 Results
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Stephen Monismith
Obayashi Professor in the School of Engineering and Professor of Oceans
Current Research and Scholarly InterestsHydrodynamics of lakes, estuaries, coral reefs, kelp forests and the coastal ocean
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Andrea Montanari
Robert and Barbara Kleist Professor in the School of Engineering and Professor of Statistics and, by courtesy, of Mathematics
On Leave from 06/10/2022 To 06/30/2023BioI am interested in developing efficient algorithms to make sense of large amounts of noisy data, extract information from observations, estimate signals from measurements. This effort spans several disciplines including statistics, computer science, information theory, machine learning.
I am also working on applications of these techniques to healthcare data analytics. -
Stephen B. Montgomery
Associate Professor of Pathology, of Genetics, of Biomedical Data Science and, by courtesy, of Computer Science
Current Research and Scholarly InterestsWe focus on understanding the effects of genome variation on cellular phenotypes and cellular modeling of disease through genomic approaches such as next generation RNA sequencing in combination with developing and utilizing state-of-the-art bioinformatics and statistical genetics approaches. See our website at http://montgomerylab.stanford.edu/
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Louie Montoya
Lecturer
BioA self-proclaimed deeper learning education nerd, Louie Montoya joined the d.school in 2018 to work with educators on learning and implementing design in the classroom. Today he leads the Deeper Learning Puzzle Bus, a K12 lab mobile experiment designed to look at how “escape rooms” can change the way educators think about measurement and assessment, as well as bring more delight into the classroom.
A first generation Mexican American raised across the western hemisphere, Louie developed an interest in other cultures that anchors his work on behalf of equitable practices in the design process. As an experience designer at the Business Innovation Factory in Rhode Island, Louie co-designed and ran the Teachers for Equity Fellowship that worked with educators across the United States to address issues of racial inequity in their schools and classrooms. As a member of the Deeper Learning network Louie focuses on building capacity around skills such as collaboration, communication and critical thinking with students. -
Suzanne Morze
Associate Director, Leadership Giving, School of Engineering - External Relations
Current Role at StanfordAssociate Director of Annual Giving, School of Engineering
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Robert Moss
Ph.D. Student in Computer Science, admitted Autumn 2021
BioRobert Moss is a computer science Ph.D. student at Stanford University studying algorithms to validate safety-critical autonomous systems. He holds an M.S. in computer science from Stanford where his research received the best computer science master’s thesis award and he also received the Centennial TA award for his teaching efforts. He earned his B.S. in computer science with a minor in physics from the Wentworth Institute of Technology in Boston, MA. Robert was an associate research staff member at MIT Lincoln Laboratory where he was on the team that designed, developed, and validated the next-generation aircraft collision avoidance system for commercial aircraft, unmanned vehicles, and rotorcraft. Robert was also a research engineer at the NASA Ames Research Center, developing decision support tools for the VIPER autonomous Lunar rover mission searching for water deposits on the Moon. Robert is a member of the Stanford Intelligent Systems Laboratory, the Stanford Center for Earth Resources Forecasting, and part of the Stanford Center for AI Safety conducting research on methods for high-dimensional planning under uncertainty using low-dimensional surrogate models, autonomous vehicle risk assessment, and efficient algorithms for safety validation.
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Rachelle Mozeleski
Web Content Manager, Electrical Engineering
Current Role at StanfordWeb Content Manager for the Department of Electrical Engineering
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Fernando Mujica
Adjunct Professor, Electrical Engineering
BioFernando Mujica is an Adjunct Professor in the Department of Electrical Engineering at Stanford University. He received the Ph.D. degree in electrical engineering from the Georgia Institute of Technology in 1999 and B.S. and M.S. degrees from Universidad Simón Bolivar in 1993 and 1995, respectively. Prof. Mujica's research interests are in the area of signal processing. He has been granted more than 25 US patents over a wide range of applications. Prof. Mujica was elected to the Tau Beta Pi Teaching Honor Roll in 2022.
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Kunal Mukherjee
Assistant Professor of Materials Science and Engineering
BioKunal Mukherjee is an assistant professor in Materials Science and Engineering at Stanford. He has been an assistant professor in the Materials department at UC Santa Barbara (2016-2020), held postdoctoral appointments at IBM TJ Watson Research Center (2016) and MIT (2015), and worked as a transceiver engineer at Finisar (2009-2010).
The Mukherjee group specializes in semiconductors that emit and detect light in the infrared. Our research enables better materials for data transmission, sensing, manufacturing, and environmental monitoring. We make high-quality thin films with IV-VI (PbSnSe) and III-V (GaAs-InAs/GaSb) material systems and spend much of our time understanding how imperfections in the crystalline structure such as dislocations and point defects impact their electronic and optical properties. This holds the key to directly integrating these semiconductors with silicon and germanium substrates for new hybrid circuits that combine infrared photonics and conventional electronics. -
Carol B. Muller
Adjunct Lecturer, Mechanical Engineering - Design
BioAs Executive Director of WISE Ventures, Carol Muller joined with individuals and organizations at Stanford to amplify the impact of programs, research, and other projects to advance equity in science, technology, engineering, and mathematics (STEM) fields, and worked collaboratively to enhance existing and establish new initiatives to meet needs aligned with this mission for Stanford University, from within the Office of Faculty Development, Diversity & Engagement and supported also through the Vice Provost for Graduate Education. She also provided executive support for Stanford’s Faculty Women’s Forum. Having retired from these roles in 2021, she continues to serve as an adjunct lecturer in the Department of Mechanical Engineering.
Coupling leadership experience across a wide range of responsibilities in higher education with entrepreneurial skills honed through her work in engineering education, Carol B. Muller founded MentorNet in 1997, a nonprofit online global mentoring network supporting diversity in science and engineering, serving as its chief executive until 2008. Her prior work included service as consulting professor of mechanical engineering at Stanford University, as associate dean for administration at Thayer School of Engineering at Dartmouth College (where she co-founded the Dartmouth Women in Science Project and the Dartmouth Project for Teaching Engineering Problem-Solving), and as department manager for Stanford’s Electrical Engineering department.
A Fellow of the Association for Women in Science, her work has been recognized with national awards, including the Presidential Award for Excellence in Science, Mathematics and Engineering Mentoring, and the Anita Borg Social Impact Award. She has authored and presented numerous papers, presentations, and workshops, and has created projects, programs, and fellowships developed with funding from private foundations, corporations, and the federal government, contracts, and individuals. She earned a bachelors degree from Dartmouth College and A.M. and Ph.D. degrees in education administration and policy analysis at Stanford University. -
Ayinwi Muma
Ph.D. Student in Management Science and Engineering, admitted Summer 2017
Masters Student in Management Science and Engineering, admitted Autumn 2020BioAyinwi is a Ph.D. student in the Department of Management Science & Engineering at Stanford University.
Her research examines the emergence of new technological paradigms and evolution in work practices, routines, and capabilities of organizations. -
Jesús Manuel Muñoz Tejeda
Graduate, Mechanical Engineering
BioJesús Manuel Muñoz Tejeda is a postgraduate visiting researcher in the field of electric propulsion within the Department of Mechanical Engineering under the supervision of Prof. Mark Capelli. Jesús is pursuing his PhD at Imperial College London, England.
His research focuses on the computational and experimental characterization of water-fueled Hall Effect Thrusters, using either the products from water electrolysis (oxygen and hydrogen) or a direct water vapour feed supply.
Jesús received his Bachelors of Aerospace Engineering at Universidad Politécnica de Madrid (UPM, 2017), and a Master of Science in Aerospace Engineering at Universidad Carlos III de Madrid (UC3M, 2019) and Technical University of Delft (TUDelft, 2019).
Jesús has undergone several professional experiences during this time, being Project Manager at Acatec Aeronautics (Spain, 2016-2017), Thermal Engineer at UC3M (Spain, 2018), Researcher at the European Centre for Nuclear Research (Switzerland, CERN, 2019-2020), Researcher at the TUDelft Space Institute (Netherlands, 2018-2020), Space Technology Advisor at the Swiss Space Centre (now called, Space Innovation, Switzerland, 2020) and Research Director at DZH Dynamics (2019-Present). -
Gregg A. Muragishi
Hourly Researcher Rise Thailand, Mechanical Engineering - Design
Staff, Mechanical Engineering - DesignBioMy research focuses on how individuals interpret and derive meaning from positive and negative cues in the social environment. In particular, I am interested in how subtle gestures of respect can ignite change within an institution to increase belonging, interest, and motivation for underrepresented groups.
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Boris Murmann
Professor of Electrical Engineering
BioBoris Murmann is a Professor of Electrical Engineering at Stanford University. He joined Stanford in 2004 after completing his Ph.D. degree in electrical engineering at the University of California, Berkeley in 2003. From 1994 to 1997, he was with Neutron Microelectronics, Germany, where he developed low-power and smart-power ASICs. Since 2004, he has worked as a consultant with numerous Silicon Valley companies. Dr. Murmann’s research interests are in mixed-signal integrated circuit design, including sensor interfaces, data conversion, high-speed communication, and embedded machine learning. He was a co-recipient of the Best Student Paper Award at the 2008 and 2021 VLSI Circuits Symposia, as well as a recipient of the Best Invited Paper Award at the 2008 IEEE Custom Integrated Circuits Conference (CICC). He received the 2009 Agilent Early Career Professor Award, the 2012 Friedrich Wilhelm Bessel Research Award by the Humboldt Foundation, and the 2021 SIA-SRC University Researcher Award for lifetime research contributions to the U.S. semiconductor industry. He has served as an Associate Editor of the IEEE Journal of Solid-State Circuits, an AdCom member and Distinguished Lecturer of the IEEE Solid-State Circuits Society (SSCS), the Data Converter Subcommittee Chair and Technical Program Chair of the IEEE International Solid-State Circuits Conference (ISSCC), as well as the Technical Program Co-Chair of the tinyML Research Symposium. He currently serves as the chair of the IEEE SSCS Technical Committee on Open-Source Ecosystem and the General Co-Chair of the 2023 IEEE International Symposium on Circuits and Systems (ISCAS). He is a Fellow of the IEEE.
