School of Engineering
Showing 1-15 of 15 Results
Charles Lee Powell Foundation Professor in the School of Engineering, Emeritus
BioEaton uses experiments and computational simulations to study the flow and heat transfer in complex turbulent flows, especially those relevant to turbomachinery, particle-laden flows, and separated flows, and to develop new techniques for precise control of gas and surface temperature during manufacturing processes.
Professor of Mechanical Engineering, Emeritus
BioThe Edwards research group is focused on fundamental research for advanced energy technologies. The group performs theoretical and experimental studies of energy transformations such that the conversion process can be made cleaner, more efficient, and more controllable than has been possible with traditional technologies. Applications include advanced transportation engines (piston and turbine) and advanced electric power generation with carbon mitigation.
Matthew R. Edwards
Assistant Professor of Mechanical Engineering
BioMatthew Edwards is an Assistant Professor of Mechanical Engineering. His research applies high-power lasers to the development of optical diagnostics for fluids and plasmas, the study of intense light-matter interactions, and the construction of compact light and particle sources, combining adaptive high-repetition-rate experiments and large-scale simulations to explore new regimes in fluid mechanics, thermodynamics, materials science, and plasma physics.
Matthew received BSE, MA, and PhD degrees in Mechanical and Aerospace Engineering from Princeton University. He was then a Lawrence Fellow in the National Ignition Facility and Photon Science Directorate at Lawrence Livermore National Laboratory.
Charles (Chuck) Eesley
Associate Professor of Management Science and Engineering
Current Research and Scholarly InterestsMy research focuses on the influence of the external environment on entrepreneurship. I investigate the types of environments that encourage the founding of high growth, technology-based firms. I build on previous literature that explains why entrepreneurs are successful and my major contribution is to demonstrate that institutions matter. I show that effective institutional change influences who starts firms, not just how many firms are started.
Stanford W. Ascherman, M.D. Professor in the School of Engineering
Current Research and Scholarly InterestsTheoretical approaches: Cognition, complexity, learning, and organizational theories
Methods: Multi-case Theory Building as well as machine learning, simulation, and econometrics
Recent research: Business model design, strategy as "simple rules" heuristics, strategic interaction in novel markets and ecosystems, strategy in marketplaces, communities v. firm organizational forms
Abbas El Gamal
Hitachi America Professor in the School of Engineering and Senior Fellow at the Precourt Institute for Energy
BioAbbas El Gamal is the Hitachi America Professor in the School of Engineering and Professor in the Department of Electrical Engineering at Stanford University. He received his B.Sc. Honors degree from Cairo University in 1972, and his M.S. in Statistics and Ph.D. in Electrical Engineering both from Stanford University in 1977 and 1978, respectively. From 1978 to 1980, he was an Assistant Professor of Electrical Engineering at USC. From 2003 to 2012, he was the Director of the Information Systems Laboratory at Stanford University. From 2012 to 2017 he was Chair of the Department of Electrical Engineering at Stanford University. His research contributions have been in network information theory, FPGAs, and digital imaging devices and systems. He has authored or coauthored over 230 papers and holds 35 patents in these areas. He is coauthor of the book Network Information Theory (Cambridge Press 2011). He has received several honors and awards for his research contributions, including the 2016 Richard W. Hamming Medal, the 2012 Claude E. Shannon Award, and the 2004 INFOCOM Paper Award. He is a member of the U.S. National Academy of Engineering and a Fellow of the IEEE. He has co-founded and served on the board of directors and advisory boards of several semiconductor and biotechnology startup companies.
Associate Professor of Aeronautics and Astronautics and, by courtesy, of Electrical Engineering
BioProf. Elschot's research involves space weather detection and modeling for improved spacecraft designs, and advanced signal processing and electromagnetic wave interactions with plasma for ground-to-satellite communication systems. These topics fall under the Space Situational Awareness (SSA) umbrella that include environmental remote sensing using satellite systems and ground-based radar. Her current efforts include using dust accelerators and light-gas guns to understand the effects of hypervelocity particle impacts on spacecraft along with Particle-In-Cell simulations, and using ground-based radars to characterize the space debris and meteoroid population remotely. She also has active programs in hypersonic plasmas associated with re-entry vehicles.
Associate Professor of Bioengineering
Current Research and Scholarly InterestsWe work to strengthen the foundations and expand the frontiers of synthetic biology. Our foundational work includes (i) advancing reliable reuse of bio-measurements and -materials via standards that enable coordination of labor, and (ii) developing and integrating measurement and modeling tools for representing and analyzing living matter at whole-cell scales. Our work beyond the frontiers of current practice includes (iii) bootstrapping biotechnology tools in unconventional organisms (e.g., mealworms, wood fungus, skin microbes), and (iv) exploring the limits of whole-genome recoding and building cells from scratch. We also support strategy and policy work related to bio-safety, security, economy, equity, justice, and leadership.
Associate Professor of Computer Science and of Electrical Engineering
BioEngler's research focuses both on building interesting software systems and on discovering and exploring the underlying principles of all systems.
Associate Professor of Computer Science
BioI am an Assistant Professor in the Department of Computer Science at Stanford University, where I am affiliated with the Artificial Intelligence Laboratory and a fellow of the Woods Institute for the Environment.
My research is centered on techniques for scalable and accurate inference in graphical models, statistical modeling of data, large-scale combinatorial optimization, and robust decision making under uncertainty, and is motivated by a range of applications, in particular ones in the emerging field of computational sustainability.
Visiting Professor, Bioengineering
BioBjoern M. Eskofier (SM, IEEE) heads the Machine Learning and Data Analytics (MaD) Lab at the Friedrich-Alexander-University Erlangen-Nuernberg (FAU). He is also the founding spokesperson of FAU’s Department Artificial Intelligence in Biomedical Engineering (AIBE), spokesperson of the German Ministry of Economic Affairs and Climate Action GAIA-X usecase project “TEAM-X” and co- spokesperson of the German Research Foundation collaborative research center “EmpkinS” (www.empkins.de). Since April 2023, he is an associate principal investigator and leader of the research group “Translational Digital Health” at the Helmholtz Zentrum Munich. From April to August 2023, he is a visiting professor in Prof. Scott Delp’s NMBL lab that is part of Stanford University’s Schools of Engineering and Medicine.
Dr. Eskofier studied Electrical Engineering at the FAU and graduated in 2006. He then did his PhD in Biomechanics under the supervision of Prof. Dr. Benno Nigg at the University of Calgary (Canada). He authored more than 400 peer reviewed articles, holds 5 patents, started three spinoff startup companies, and is in a supporting role for further startups. He won several medical-technical research awards, including the “Curious Minds” award 2021 in “Life Sciences” by Manager Magazin and Merck. In 2016, he was a visiting professor in Prof. Paolo Bonato’s Motion Analysis Lab at Harvard Medical School (February-March), and in 2018, he was a visiting professor in Prof. Alex “Sandy” Pentland’s Human Dynamics group at MIT Media Lab (March-August). He serves as Area Editor for the “IEEE Open Access Journal of Engineering in Medicine and Biology” and Associate Editor for the “IEEE Journal of Biomedical and Health Informatics”. He is also active in the organization of several IEEE and ACM meetings (e.g., BSN, BHI, EMBC, IJCAI, ISWC, UbiComp), most recently as General Chair of BHI 2023.
Bjoern Eskofier has defined his research and entrepreneurial agenda to revolve around contributions to a “Digital Health Ecosystem”, where patients are connected to other stakeholders within the Healthcare system using digital support tools. His digital health research philosophy is that only multidisciplinary teams of engineers, medical experts, industry representatives and entrepreneurs will have the tools to actually implement changes in Healthcare.