School of Engineering
Showing 421-440 of 689 Results
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Reginald Mitchell
Professor of Mechanical Engineering, Emeritus
BioProfessor Mitchell's primary area of research is concerned with characterizing the physical and chemical processes that occur during the combustion and gasification of pulverized coal and biomass. Coals of interest range in rank from lignite to bituminous and biomass materials include yard waste, field and seed crop residues, lumber mill waste, fruit and nut crop residues, and municipal solid waste. Experimental and modeling studies are concerned with char reactivity to oxygen, carbon dioxide and steam, carbon deactivation during conversion, and char particle surface area evolution and mode of conversion during mass loss.
Mitchell’s most recent research has been focused on topics that will enable the development of coal and biomass conversion technologies that facilitate CO2 capture. Recent studies have involved characterizing coal and biomass conversion rates in supercritical water environments, acquiring the understanding needed to develop chemical looping combustion technology for applications to coals and biomass materials, and developing fuel cells that use coal or biomass as the fuel source. Studies concerned with characterizing coal/biomass blends during combustion and gasification processes are also underway.
Professor Mitchell retired from Stanford University in July 2020, after having served over 29 years as a professor in the Mechanical Engineering Department. -
Paul Mitiguy
Lecturer
BioFrom Milton MA and shaped by La Salettes with Shaker roots, Paul did his undergraduate work at Tufts University and his mechanical engineering graduate work (PhD) at Stanford under Thomas Kane.
As a young adult, Paul worked summers landscaping, farming, logging, and construction, then worked at MIT Lincoln Laboratory, NASA Ames, Knowledge Revolution, and MSC.Software, was a consulting editor for McGraw-Hill (mechanics), and has been a consultant for the software, robotics, biotechnology, energy, automotive, and mechanical/aerospace industries.
He helped develop force/motion software used by more than 12 million people worldwide and translated into 11 spoken languages. These software applications include Interactive Physics, Working Model 2D/3D, MSC.visualNastran 4D (now SimWise), NIH Simbody/OpenSim, and the symbolic manipulators Autolev/MotionGenesis.
Paul currently works on Drake, open-source software developed by TRI (Toyota Research Institute) to simulate robots. In his role as Lead TRI/Stanford Liaison for SAIL (Toyota's Center for AI Research at Stanford), he facilitates research between TRI and Stanford.
At Stanford, Paul greatly enjoys working with students and teaches mechanics (physics/engineering), controls/vibrations, and advanced dynamics & computation/simulation. He has written several books on dynamics, computation, and control (broadly adopted by universities and professionals).
Paul is highly appreciative of support from Stanford alumni Dave Baszucki (Roblox CEO). Paul greatly appreciates having worked with Dave and team in developing internationally acclaimed physics, engineering, and educational software, including Interactive Physics, Working Model, and MSC.visualNastran.
He is very grateful to students, co-instructors (TAs), faculty, and staff. -
Subhasish Mitra
William E. Ayer Professor of Electrical Engineering and Professor of Computer Science
BioSubhasish Mitra holds the William E. Ayer Endowed Chair Professorship in the Departments of Electrical Engineering and Computer Science at Stanford University. He directs the Stanford Robust Systems Group, serves on the leadership team of the Microelectronics Commons AI Hardware Hub funded by the US CHIPS and Science Act, leads the Computation Focus Area of the Stanford SystemX Alliance, and is the Associate Chair (Faculty Affairs) of Computer Science. His research ranges across Robust Computing, NanoSystems, Electronic Design Automation (EDA), and Neurosciences. Results from his research group have influenced almost every contemporary electronic system and have inspired significant government and research initiatives in multiple countries. He has held several international academic appointments — the Carnot Chair of Excellence in NanoSystems at CEA-LETI in France, Invited Professor at EPFL in Switzerland, and Visiting Professor at the University of Tokyo in Japan. Prof. Mitra also has consulted for major technology companies including AMD (XIlinx), Cisco, Google, Intel, Merck (EMD Electronics), and Samsung.
In the field of Robust Computing, he has created many key approaches for circuit failure prediction, CASP on-line diagnostics, QED system validation, soft error resilience, and X-Compact test compression. Their adoption by industry is growing rapidly, in markets ranging from cloud computing to automotive systems, under various names (Silicon Lifecycle Management, Predictive Health Monitoring, In-System Test Architecture, In-field Scan, In-fleet Scan). His X-Compact approach has proven essential to cost-effective manufacturing and high-quality testing of almost all 21st century systems. X-Compact and its derivatives enabled billions of dollars of cost savings across the industry.
In the field of NanoSystems, with his students and collaborators, he demonstrated several firsts: the first NanoSystems hardware among all beyond-silicon nanotechnologies for energy-efficient computing (the carbon nanotube computer), the first 3D NanoSystem with computation immersed in data storage, the first published end-to-end computing systems using resistive memories (Resistive RAM-based non-volatile computing systems delivering 10-fold energy efficiency versus embedded flash), and the first monolithic 3D integration combining heterogeneous logic and memory technologies in silicon foundry. These received wide recognition: cover of NATURE, several Highlights to the US Congress, and highlight as "important scientific breakthrough" by news organizations worldwide.
Prof. Mitra's honors include the Harry H. Goode Memorial Award (by IEEE Computer Society for outstanding contributions in the information processing field), Newton Technical Impact Award in EDA (test-of-time honor by ACM SIGDA and IEEE CEDA), the University Researcher Award (by Semiconductor Industry Association and Semiconductor Research Corporation to recognize lifetime research contributions), the EDAA Achievement Award (by European Design and Automation Association, for outstanding lifetime contributions to electronic design, automation and testing), the Intel Achievement Award (Intel’s highest honor), and the Distinguished Alumnus Award from the Indian Institute of Technology, Kharagpur. He and his students have published over 15 award-winning papers across 5 topic areas (technology, circuits, EDA, test, verification) at major venues including the Design Automation Conference, International Electron Devices Meeting, International Solid-State Circuits Conference, International Test Conference, Symposia on VLSI Technology/VLSI Circuits, and Formal Methods in Computer-Aided Design. Stanford undergraduates have honored him several times "for being important to them." He is a Fellow of the Association for Computing Machinery (ACM) and the Institute of Electrical and Electronics Engineers (IEEE), and a Foreign Member of Academia Europaea. -
Ariam Mogos
Lecturer
BioAriam Mogos leads emerging technology initiatives at Stanford's Hasso Plattner Institute of Design (d.school), where she helps students and educators work with emerging technologies like AI and blockchain, and shapes conversations around the tech’s ethical implications on humans and nature. Her design work and research also investigates the ways that technology can foster playful learning experiences that bridge communities and cultures.
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Parviz Moin
Franklin P. and Caroline M. Johnson Professor in the School of Engineering
BioMoin is the founding director of the Center for Turbulence Research. Established in 1987 as a research consortium between NASA and Stanford, Center for Turbulence Research is devoted to fundamental studies of turbulent flows. Center of Turbulence Research is widely recognized as the international focal point for turbulence research, attracting diverse groups of researchers from engineering, mathematics and physics. He was the founding director of the Institute for Computational and Mathematical Engineering at Stanford.
Professor Moin pioneered the use of direct and Large Eddy Simulation techniques for the study of turbulence physics, control and modelling concepts and has written widely on the structure of turbulent shear flows. His current interests include: Computational physics, Physics and control of turbulent boundary layers, hypersonic flows, propulsion, flow control, large eddy simulation for aerospace applications and aircraft icing. -
Pedram Mokrian
Lecturer
Instructor, Stanford Engineering Center for Global and Online EducationBioPedram Mokrian is Adjunct Professor at Stanford University and a lecturer at the Haas School of business at UC Berkeley where he teaches and advises entrepreneurs and global 1000 companies alike on entrepreneurship, business model disruption, and technology innovation strategy. He was previously a Principal at Mayfield, one of Silicon Valley’s most storied venture capital firms, where he was part of the investment team with over $3.5B assets under management. Mokrian is a founding Partner of the Ratio Academy, New Line Ventures. He also serves as a mentor or advisor to a number of start-ups, innovation incubators, including Global Innovation Catalyst, the Texas Medical Center Innovation Center, Innovation Labs, MISO, and Moog, and serves on the advisory board of Phillips66.
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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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Stephen B. Montgomery
Stanford Medicine Professor of Pathology, Professor of Genetics and 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. -
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. -
Walter Murray
Professor (Research) of Management Science and Engineering, Emeritus
BioProfessor Murray's research interests include numerical optimization, numerical linear algebra, sparse matrix methods, optimization software and applications of optimization. He has authored two books (Practical Optimization and Optimization and Numerical Linear Algebra) and over eighty papers. In addition to his University work he has extensive consulting experience with industry, government, and commerce.
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David Myung, MD, PhD
Associate Professor of Ophthalmology and, by courtesy, of Chemical Engineering
Current Research and Scholarly InterestsNovel biomaterials to reconstruct the wounded cornea
Mesenchymal stem cell therapy for corneal and ocular surface regeneration
Engineered biomolecule therapies for promote corneal wound healing
Telemedicine in ophthalmology -
Sanjiv Narayan
Professor of Medicine (Cardiovascular Medicine)
Current Research and Scholarly InterestsDr. Narayan directs the Computational Arrhythmia Research Laboratory, whose goal is to define the mechanisms underlying complex human heart rhythm disorders, to develop bioengineering-focused solutions to improve therapy that will be tested in clinical trials. The laboratory has been funded continuously since 2001 by the National Institutes of Health, AHA and ACC, and interlinks a disease-focused group of clinicians, computational physicists, bioengineers and trialists.
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Drew Nelson
Professor of Mechanical Engineering, Emeritus
BioResearch involves development of improved methods for predicting the fatigue life of engineering materials, incuding the effects of manufacturing processes, and investigation of new approaches in the field of experimental mechanics, such as determination of residual stresses using optical methods.
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Brett Newman
Lecturer
BioAcademic
2013 - 2018 : Stanford : Lecturer : Visual Thinking, ME115C: Design and Business Factors
2018 - Present : Stanford : Lead Lecturer : Design 161 Capstone
Professional
2004 - 2007 : Azud : VP Product
2007 - Present : Daylight Design : Partner
