School of Engineering
Showing 1-100 of 148 Results
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Michael Fairley
Ph.D. Student in Management Science and Engineering, admitted Autumn 2015
BioMichael Fairley is a Ph.D. student in the Department of Management Science & Engineering at Stanford University.
Research Area: Health Policy -
Jonathan Fan
Assistant Professor of Electrical Engineering and, by courtesy, of Materials Science and Engineering
Current Research and Scholarly InterestsOptical engineering plays a major role in imaging, communications, energy harvesting, and quantum technologies. We are exploring the next frontier of optical engineering on three fronts. The first is new materials development in the growth of crystalline plasmonic materials and assembly of nanomaterials. The second is novel methods for nanofabrication. The third is new inverse design concepts based on optimization and machine learning.
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Lin Fan
Ph.D. Student in Management Science and Engineering, admitted Autumn 2017
BioLin Fan is a Ph.D. student in the Department of Management Science & Engineering at Stanford University.
Research interests: statistical methods for stochastic processes, stochastic simulation, online learning and decision-making -
Qingyuan Fan
Ph.D. Student in Materials Science and Engineering, admitted Autumn 2019
BioUndergraduate, Zhejiang University 2015-2019
Visiting Student Researcher, Arron Lindenberg's group, Dept. of Materials Science and Engineering, Stanford 07.2018-09.2018
Ph.D Student, Dept. of Materials Science and Engineering, Stanford 09.2019- -
Shanhui Fan
Director, Edward L. Ginzton Laboratory, Professor of Electrical Engineering, Senior Fellow at the Precourt Institute for Energy and Professor, by courtesy, of Applied Physics
BioFan's research involves the theory and simulations of photonic and solid-state materials and devices; photonic crystals; nano-scale photonic devices and plasmonics; quantum optics; computational electromagnetics; parallel scientific computing.
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Yuhang Fan
Ph.D. Student in Bioengineering, admitted Autumn 2018
Masters Student in Bioengineering, admitted Summer 2019BioI work on understanding the statistical physics and optimization principles of organized biological systems. Specifically, I use planarian as model systems to study cell collective behavior and the molecular mechanisms of adaption.
I am interested in a lot of things: development, evolution, ecology, statistical physics, dynamic systems, and biophysics. I also spend time on sequencing and fluorescence imaging technology required for depicting concrete biological systems. -
Charbel Farhat
Vivian Church Hoff Professor of Aircraft Structures, Professor of Mechanical Engineering and Director of the Army High Performance Computing Research Center
Current Research and Scholarly InterestsCharbel Farhat and his Research Group (FRG) develop mathematical models, advanced computational algorithms, and high-performance software for the design and analysis of complex systems in aerospace, marine, mechanical, and naval engineering. They contribute major advances to Simulation-Based Engineering Science. Current engineering foci in research are on the nonlinear aeroelasticity and flight dynamics of Micro Aerial Vehicles (MAVs) with flexible flapping wings and N+3 aircraft with High Aspect Ratio (HAR) wings, layout optimization and additive manufacturing of wing structures, supersonic inflatable aerodynamic decelerators for Mars landing, and the reliable automated carrier landing via model predictive control. Current theoretical and computational emphases in research are on high-performance, multi-scale modeling for the high-fidelity analysis of multi-physics problems, high-order embedded boundary methods, uncertainty quantification, probabilistic machine learning, and efficient projection-based model order reduction as well as other forms of physics-based machine learning for time-critical applications such as design, active control, and digital twins.
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Rainer Fasching
Adjunct Professor
BioDr. Rainer Fasching is a technology executive and a consulting associate professor at Stanford University, where he teaches advanced electrochemical energy storage and sensor technologies. He has over 20 years of experience in electrochemical devices, micro fabrication technologies, and industrial product development. His work has been centered on the physics, materials and fabrication technologies of electrochemical systems such as sensors, batteries and associated materials, and fuel cells. Currently he has been leading the development of advanced energy storage technologies from concept to product at top tier startup companies. He holds over 30 issued and/or published patents and has authored more than 60 publications.
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Kayvon Fatahalian
Assistant Professor of Computer Science
BioKayvon Fatahalian is an assistant professor of Computer Science at Stanford University. His students work on visual computing systems projects, including large-scale video analytics, programming systems for video data mining, compilation techniques for optimizing image processing pipelines, and systems for real-time 3D graphics.
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Ron Fedkiw
Professor of Computer Science
BioFedkiw's research is focused on the design of new computational algorithms for a variety of applications including computational fluid dynamics, computer graphics, and biomechanics.
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Jeffrey A. Feinstein, MD, MPH
Dunlevie Family Professor of Pulmonary Vascular Disease and Professor, by courtesy, of Bioengineering at the Lucile Salter Packard Children's Hospital
Current Research and Scholarly InterestsResearch interests include (1) computer simulation and modeling of cardiovascular physiology with specific attention paid to congenital heart disease and its treatment, (2) the evaluation and treatment of pulmonary hypertension/pulmonary vascular diseases, and (3) development and testing of medical devices/therapies for the treatment of congenital heart disease and pulmonary vascular diseases.
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Jordi Feliu Faba
Ph.D. Student in Computational and Mathematical Engineering, admitted Autumn 2016
BioI am a PhD student in the Institute for Computational and Mathematical Engineering (ICME). I was born and I received my education in Spain. I received my two Bachelor's degrees in Industrial Technology Engineering and in Civil Engineering at Universitat Politècnica de Catalunya (UPC) in Barcelona. In 2014 I moved for 6 months to France to finish my Bachelor's degree in Civil Engineering at Ecole Centrale de Nantes. Next, I returned to Barcelona to course a MSc in Civil Engineering at UPC and gain work experience in civil engineering. My research interests lie in the area of computational engineering.
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Richard Fikes
Professor (Research) of Computer Science, Emeritus
BioRichard Fikes has a long and distinguished record as an innovative leader in the development of techniques for effectively representing and using knowledge in computer systems. He is best known as co-developer of the STRIPS automatic planning system, KIF (Knowledge Interchange Format), the Ontolingua ontology representation language and Web-based ontology development environment, the OKBC (Open Knowledge Base Connectivity) API for knowledge servers, and IntelliCorp's KEE system. At Stanford, he led projects focused on developing large-scale distributed repositories of computer-interpretable knowledge, collaborative development of multi-use ontologies, enabling technology for the Semantic Web, reasoning methods applicable to large-scale knowledge bases, and knowledge-based technology for intelligence analysts. He was principal investigator of major projects for multiple Federal Government agencies including the Defense Advanced Research Projects Agency (DARPA) and the Intelligence Community’s Advanced Research and Development Activity (ARDA).
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Angelos Findikakis
Adjunct Professor
BioAngelos Findikakis received his first degree in Civil Engineering in 1968 from the National Technical University of Athens, Greece. After working on water resources planning and development studies in Greece he came to Stanford for graduate studies in 1973. Since 1980 he has been working for Bechtel Corporation in San Francisco. Over the years he worked on a broad range of water studies in support of the permitting, design and construction of several industrial projects including civil infrastructure, power, mining, oil and gas, and waste storage facilities. As a Bechtel Fellow since 1998 he advises senior management on questions related to his expertise, participates in strategic planning, and helps disseminate new technical ideas and findings throughout the organization.
His interests include water resources management and environmental flow and transport processes. -
Chelsea Finn
Assistant Professor of Computer Science and of Electrical Engineering
BioChelsea Finn is an Assistant Professor in Computer Science and Electrical Engineering at Stanford University. Professor Finn's research interests lie in the ability to enable robots and other agents to develop broadly intelligent behavior through learning and interaction. Her work lies at the intersection of machine learning and robotic control, including topics such as end-to-end learning of visual perception and robotic manipulation skills, deep reinforcement learning of general skills from autonomously collected experience, and meta-learning algorithms that can enable fast learning of new concepts and behaviors.
Professor Finn received her Bachelors degree in Electrical Engineering and Computer Science at MIT and her PhD in Computer Science at UC Berkeley. Her research has been recognized through the ACM doctoral dissertation award, an NSF graduate fellowship, a Facebook fellowship, the C.V. Ramamoorthy Distinguished Research Award, and the MIT Technology Review 35 under 35 Award, and her work has been covered by various media outlets, including the New York Times, Wired, and Bloomberg. Throughout her career, she has sought to increase the representation of underrepresented minorities within CS and AI by developing an AI outreach camp at Berkeley for underprivileged high school students, a mentoring program for underrepresented undergraduates across three universities, and leading efforts within the WiML and Berkeley WiCSE communities of women researchers.
Website: https://ai.stanford.edu/~cbfinn -
Michael Fischbach
Associate Professor of Bioengineering
BioMichael Fischbach is an Associate Professor in the Department of Bioengineering at Stanford University, an institute scholar of Stanford ChEM-H, and the director of the Stanford Microbiome Therapies Initiative. Fischbach is a recipient of the NIH Director's Pioneer and New Innovator Awards, an HHMI-Simons Faculty Scholars Award, a Fellowship for Science and Engineering from the David and Lucille Packard Foundation, a Medical Research Award from the W.M. Keck Foundation, a Burroughs Wellcome Fund Investigators in the Pathogenesis of Infectious Disease award, and a Glenn Award for Research in Biological Mechanisms of Aging. His laboratory uses a combination of genomics and chemistry to identify and characterize small molecules from microbes, with an emphasis on the human microbiome. Fischbach received his Ph.D. as a John and Fannie Hertz Foundation Fellow in chemistry from Harvard in 2007, where he studied the role of iron acquisition in bacterial pathogenesis and the biosynthesis of antibiotics. After two years as an independent fellow at Massachusetts General Hospital, Fischbach joined the faculty at UCSF, where he founded his lab before moving to Stanford in 2017. Fischbach is a co-founder and director of Federation Bio, a co-founder of Revolution Medicines, and a member of the scientific advisory board of NGM Biopharmaceuticals.
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Martin Fischer
Kumagai Professor in the School of Engineering and Senior Fellow at the Precourt Institute for Energy
BioProfessor Fischer's research goals are to improve the productivity of project teams involved in designing, building, and operating facilities and to enhance the sustainability of the built environment. His work develops the theoretical foundations and applications for virtual design and construction (VDC). VDC methods support the design of a facility and its delivery process and help reduce the costs and maximize the value over its lifecycle. His research has been used by many small and large industrial government organizations around the world.
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Ian Fisher
Director, Geballe Laboratory for Advanced Materials, Professor of Applied Physics and, by courtesy, of Materials Science and Engineering
Current Research and Scholarly InterestsOur research focuses on the study of quantum materials with unconventional magnetic & electronic ground states & phase transitions. Emphasis on design and discovery of new materials. Recent focus on use of strain as a probe of, and tuning parameter for, a variety of electronic states. Interests include unconventional superconductivity, quantum phase transitions, nematicity, multipolar order, instabilities of low-dimensional materials and quantum magnetism.
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Casey Fleeter
Ph.D. Student in Computational and Mathematical Engineering, admitted Autumn 2015
BioI am a PhD student at Stanford University's Institute of Computational and Mathematical Engineering (ICME). I graduated from Harvard University in 2015 with a Bachelor of Arts in Physics. My research interests lie in the applications of mathematical methods to the cardiovascular system. My project in the Marsden Lab specifically utilizes techniques in uncertainty quantification.
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Sean Follmer
Assistant Professor of Mechanical Engineering and, by courtesy, of Computer Science
Current Research and Scholarly InterestsHuman Computer Interaction, Haptics, Robotics, Human Centered Design
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Derek Fong
Sr Research Engineer
BioDerek Fong's research in environmental and geophysical fluid dynamics focuses on understanding the fundamental transport and mixing processes in the rivers, estuaries and the coastal ocean. He employs different methods for studying such fluid processes including laboratory experiments, field experiments, and numerical modeling. His research projects include studying lateral dispersion, in stratified coastal flows, the fate and transport of freshwater in river plumes, advanced hydrodynamic measurement techniques, coherent structures in nearshore flows, bio-physical interactions in stratified lakes, fate of contaminated sediments, and secondary circulation and mixing in curved channels.
Derek teaches a variety of classes at both the undergraduate and graduate level. Some of the classes he has offered include Mechanics of Fluids; Rivers, Streams and Canals; Transport and Mixing in Surface Waters; Introduction to Physical Oceanography; Mechanics of Stratified Fluids; Dynamics of Lakes and Reservoirs; Science and Engineering Problem Solving using Matlab; the Future and Science of Water; Hydrodynamics and Geophysical Fluid Dynamics.
Prior to coming to Stanford, Derek spent five years at the Massachusetts Institute of Technology and Woods Hole Oceanographic Institution studying the dynamics of freshwater plumes for his doctoral thesis. He has also served as a senior lecturer at the University of Washington, Friday Harbor Laboratories in Friday Harbor, Washington. -
Chris Ford
Ph.D. Student in Mechanical Engineering, admitted Autumn 2013
Ph.D. Minor, Civil and Environmental EngineeringBioChris is a design professional, design educator, and design researcher in the fields of Architecture and Infrastructure design. He engages our imminently urban future through design-actionable research of the built environment from a user-centered perspective.
As a design professional, Chris has worked in the offices of Richard Meier & Partners (New York), Rick Joy Architects (Tucson) and Rob Paulus Architects (Tucson). Projects assisted or managed include residential (single and multi-family), commercial and infrastructural typologies. Chris is a licensed architect in the State of North Carolina.
As a design educator, Chris is a former lecturer in the Architecture program at the University of Arizona, and is a former Associate Professor of Architecture (with tenure) in the College of Architecture at the University of Nebraska. He regularly taught undergraduate and graduate design studios including the NAAB Comprehensive Project, elective courses in Design Methodology and Modern Craft, and advised Design Thesis. In Spring 2013, Chris coordinated the "London | 2013" Program where his funded research prompted coursework titled Hybridized Urban Infrastructures.
Chris is a PhD Candidate in the Mechanical Engineering Design Group at Stanford University. During this time, he was also the 2016-2019 Hamamoto Interdisciplinary Graduate Fellow. He is advised by the founding Director of the Center for Design Research, Professor Larry Leifer, PhD. As a research coordinator for the Urban Futures initiative, Chris applies Design Thinking to demonstrated problems in the built environment including housing, lifeline systems, and urban resilience.
Chris is a co-founding Editorial Board member for Technology | Architecture + Design (TAD Journal), a new peer-review scholarly journal published by the ACSA and printed by Taylor & Francis. He has served as Associate Editor for the issues Viral, Simulations, Open and Measured, and currently serves as Issue Editor for Urbanizing.
To guarantee exposure to the practices of multiple design disciplines, Chris maintains memberships with SPUR, ACSA, AIA, ASME, and the ASCE, where he additionally serves on the national Infrastructure Resilience Division - Emerging Technology Committee.
