School of Engineering
Showing 551-600 of 790 Results
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Juan Rivas-Davila
Associate Professor of Electrical Engineering
Current Research and Scholarly InterestsModern applications demand power capabilities beyond what is presently achievable. High performance systems need high power density and bandwidth that are difficult to achieve.
Power density can be improved with better semiconductors and passive componets, and by reducing the energy storage requirements of the system. By dramatically increasing switching frequency it is possible to reduce size of power converters. I'm interested in high performance/frequency circuits switching >10 MHz. -
Mendel Rosenblum
Cheriton Family Professor and Professor of Electrical Engineering
On Leave from 10/01/2024 To 06/30/2025Current Research and Scholarly InterestsNext generation data centers
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Krishna Saraswat
Rickey/Nielsen Professor in the School of Engineering, Emeritus
Current Research and Scholarly InterestsNew and innovative materials, structures, and process technology of semiconductor devices, interconnects for nanoelectronics and solar cells.
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Tracy Schloemer
Postdoctoral Scholar, Electrical Engineering
BioTracy H. Schloemer earned her B.S. in chemistry and M.A. in educational studies from the University of Michigan. She taught high school chemistry in Denver, Colorado as a Knowles Teaching Initiative fellow and served as a lead contributor to ChemEdX. She earned her Ph.D. in applied chemistry from the Colorado School of Mines in 2019 where she focused on organic semiconductor design for improved operational durability of perovskite solar cells under professor Alan Sellinger and in collaboration with the National Renewable Energy Lab. Her current research focuses on the control and application of excitons in the Congreve Lab. Her interests outside the lab include hiking and cheering on University of Michigan “sportsball”.
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Dustin Schroeder
Associate Professor of Geophysics, of Electrical Engineering and Senior Fellow at the Woods Institute for the Environment
BioMy research focuses on advancing the scientific and technical foundations of geophysical ice penetrating radar and its use in observing and understanding the interaction of ice and water in the solar system. I am primarily interested in the subglacial and englacial conditions of rapidly changing ice sheets and their contribution to global sea level rise. However, a growing secondary focus of my work is the exploration of icy moons. I am also interested in the development and application of science-optimized geophysical radar systems. I consider myself a radio glaciologist and strive to approach problems from both an earth system science and a radar system engineering perspective. I am actively engaged with the flow of information through each step of the observational science process; from instrument and experiment design, through data processing and analysis, to modeling and inference. This allows me to draw from a multidisciplinary set of tools to test system-scale and process-level hypotheses. For me, this deliberate integration of science and engineering is the most powerful and satisfying way to approach questions in Earth and planetary science.
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Debbie Senesky
Associate Professor of Aeronautics and Astronautics, of Electrical Engineering and Senior Fellow at the Precourt Institute for Energy
BioDebbie G. Senesky is an Associate Professor at Stanford University in the Aeronautics and Astronautics Department and the Electrical Engineering Department. In addition, she is the Principal Investigator of the EXtreme Environment Microsystems Laboratory (XLab). Her research interests include the development of nanomaterials for extreme harsh environments, high-temperature electronics for Venus exploration, and microgravity synthesis of nanomaterials. In the past, she has held positions at GE Sensing (formerly known as NovaSensor), GE Global Research Center, and Hewlett Packard. She received the B.S. degree (2001) in mechanical engineering from the University of Southern California. She received the M.S. degree (2004) and Ph.D. degree (2007) in mechanical engineering from the University of California, Berkeley. Prof. Senesky is the Site Director of nano@stanford. She is currently the co-editor of two technical journals: IEEE Journal of Microelectromechanical Systems and Sensors. In recognition of her research, she received the Presidential Early Career Award for Scientists and Engineers (PECASE) in 2025, Emerging Leader Abie Award from AnitaB.org in 2018, Early Faculty Career Award from the National Aeronautics and Space Administration (NASA) in 2012, Gabilan Faculty Fellowship Award in 2012, and Sloan Ph.D. Fellowship from the Alfred P. Sloan Foundation in 2004.
Prof. Senesky's career path and research has been featured by Scientific American, Seeker, People Behind the Science podcast, The Future of Everything radio show, Space.com, and NPR's Tell Me More program. More information about Prof. Senesky can be found at https://xlab.stanford.edu and on Instagram (@astrodebs). -
David Shim
Ph.D. Student in Electrical Engineering, admitted Autumn 2024
Current Research and Scholarly InterestsComputer Architecture, Robust Computing, Formal Verification, Machine Learning
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Basile Simon
Affiliate, Program-Weissman T.
BioDirector, Legal Program at the Starling Lab (Stanford EE, USC). Focus on the evidentiary value of integrity and authenticity data e.g. C2PA and Verifiable Credentials. OSI verification, U.S. federal authentication rules. Preservation of at-risk collections of evidence.
Advisory board at Airwars on technical and architectural matters; technical advisor to the Hala Protocol on Audio. Resident at ECCHR law firm, and Investigative Commons collective. -
Karan P. Singh
Ph.D. Student in Electrical Engineering, admitted Autumn 2023
BioI am an second-year electrical engineering PhD student at Stanford University and NSF Graduate Research Fellow, advised by Dr. Ehsan Adeli. I am broadly interested in applied ML, and am currently working on foundation models for resting-state functional MRI.
Previously, I studied electrical engineering at Cal Poly SLO and was the youngest engineering graduate in the school's history. I then worked as a post-baccalaureate researcher in Dr. Kim Butts Pauly's lab here at Stanford, where I applied machine learning to transcranial ultrasound neuromodulation, a non-invasive therapeutic modality with the potential to cure neurological diseases such as epilepsy, Alzheimer's, and even addiction. My primary focus during this time was using ML to improve therapy planning accuracy and efficiency.
Outside of academia, I enjoy playing the piano, badminton, working out, and cooking! I am also the co-founder and co-president of the Stanford Piano Society.
