School of Engineering
Showing 1-71 of 71 Results
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Pamela Saidoni
Masters Student in Electrical Engineering, admitted Autumn 2022
Current Research and Scholarly InterestsScholarly and research interest in:
Monitoring biological systems
Sensors
Medical devices
Sustainable and energy efficient systems -
Krishna Saraswat
Rickey/Nielsen Professor in the School of Engineering and Professor, by courtesy, of Materials Science and Engineering
On Leave from 10/01/2022 To 06/30/2023Current Research and Scholarly InterestsNew and innovative materials, structures, and process technology of semiconductor devices, interconnects for nanoelectronics and solar cells.
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Ahmed Sawaby
Ph.D. Student in Electrical Engineering, admitted Autumn 2017
BioAhmed received his B.Sc. degree from Cairo University in 2014. He is currently perusing his Ph.D. degree (2017-2022) at Stanford University. His research interests include biomedical electronics, medical implant and sensing systems, power management systems, analog-mixed circuits, ultra-low-power systems, energy harvesting, ultra-low-power transceivers, and RF systems.
Ahmed worked as an RFIC design engineer at Silicon Vision, Synopsys Inc. (2015-2016), where he worked on a state of the art Bluetooth low-energy (BLE) IP module. He also joined the teaching staff at the Faculty of Engineering, Cairo University, in 2014-2015 as a part of the teaching teams for the ELC102 Electronics and Devices course and the ELC302 Active Circuits course along with mentoring and supervising senior students' lab projects. From 2016 to 2017, he joined the Arbabian lab, Stanford University, as a visiting researcher where he worked with the implant team on designing wireless neural stimulation and pressure sensing systems. He also worked with Apple Inc. power management team in 2019 and 2020 on designing state-of-the-art power delivery systems. -
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, Senior Fellow at the Precourt Institute for Energy and Associate Professor, by courtesy, of Electrical Engineering
BioDebbie G. Senesky is an Associate Professor at Stanford University in the Aeronautics and Astronautics Department and by courtesy, 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 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 on 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). -
Kawin Setsompop
Associate Professor of Radiology (Radiological Sciences Laboratory) and, by courtesy, of Electrical Engineering
BioKawin Setsompop is an Associate Professor of Radiology and, by courtesy, of Electrical Engineering. His research focuses on the development of novel MRI acquisition methods, with the goal of creating imaging technologies that can be used to help better understand brain structure and function for applications in Healthcare and Health sciences. He received his Master’s degree in Engineering Science from Oxford University and his PhD in Electrical Engineering and Computer Science from MIT. Prior to joining Stanford, he was a postdoctoral fellow and subsequently a faculty at the A.A. Martinos center for biomedical imaging, MGH, as well as part of the Harvard and MIT faculty. His group has pioneered several widely-used MRI acquisition technologies, a number of which have been successfully translated into FDA-approved clinical products on Siemens, GE, Phillips, United Imaging and Bruker MRI scanners worldwide. These technologies are being used daily to study the brain in both clinical and neuroscientific fields.
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Jeff Setter
Ph.D. Student in Electrical Engineering, admitted Autumn 2015
BioJeff is a Ph.D. candidate at Stanford University in Electrical Engineering advised by Mark Horowitz. His research interests are in building hardware accelerators from software languages. Halide to Hardware is a project to use a data-parallel functional program formerly developed for CPU programs to produce hardware. Through the AHA hardware toolflow, these image processing and deep learning algorithms are mapped to a CGRA. Previously, Jeff received a B.S. in Electrical and Computer Engineering from Cornell University in 2015.
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Bhawani Shankar
Postdoctoral Scholar, Electrical Engineering
Current Research and Scholarly InterestsGaN Based Power Devices And Circuits
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Hyongsok Tom Soh
Professor of Radiology (Early Detection), of Electrical Engineering, of Bioengineering and, by courtesy, of Chemical Engineering
BioDr. Soh received his B.S. with a double major in Mechanical Engineering and Materials Science with Distinction from Cornell University and his Ph.D. in Electrical Engineering from Stanford University. From 1999 to 2003, Dr. Soh served as the technical manager of MEMS Device Research Group at Bell Laboratories and Agere Systems. He was a faculty member at UCSB before joining Stanford in 2015. His current research interests are in analytical biotechnology, especially in high-throughput screening, directed evolution, and integrated biosensors.
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Olav Solgaard
Director, Edward L. Ginzton Laboratory and Robert L. and Audrey S. Hancock Professor in the School of Engineering
BioThe Solgaard group focus on design and fabrication of nano-photonics and micro-optical systems. We combine photonic crystals, optical meta-materials, silicon photonics, and MEMS, to create efficient and reliable systems for communication, sensing, imaging, and optical manipulation.
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Daniel Spielman
Professor of Radiology (Radiological Sciences Lab) and, by courtesy, of Electrical Engineering
Current Research and Scholarly InterestsMy research interests are in the field of medical imaging, particularly magnetic resonance imaging and in vivo spectroscopy. Current projects include MRI and MRS at high magnetic fields and metabolic imaging using hyperpolarized 13C-labeled MRS.
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Kavya Sreedhar
Ph.D. Student in Electrical Engineering, admitted Autumn 2019
BioKavya is an electrical engineering PhD student advised by Mark Horowitz. She is interested in architecture design and developing hardware accelerators for machine learning and cryptography applications. Her current research explores how to efficiently accelerate the extended GCD computation for verifiable delay functions and modular inversion in cryptography. She previously worked with the Agile Hardware (AHA) Project in developing Lake, a parameterizable memory generator that can be configured at runtime to support different image processing and machine learning applications. She is supported by Stanford's Knight-Hennessy scholarship and received her B.S. in electrical engineering and BEM (Business, Economics, & Management) from Caltech in 2019 and her M.S. in electrical engineering from Stanford in 2021.
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Daniel Stanley
Ph.D. Student in Electrical Engineering, admitted Autumn 2018
BioDaniel is a PhD student currently working on tools for validating mixed-signal systems. He received his bachelor's degree from Princeton University in 2018. His research interests include designing analog and digital hardware as well as creating tools that make hardware design faster and easier.
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David G Stork
Adjunct Lecturer, Electrical Engineering
BioDavid G. Stork teaches and performs research in several disciplines:
• Rigorous computer image analysis of fine art paintings and drawings
• Computational sensing and imaging with metasurface optical elements
• Applications of computer algebra
He is a graduate in Physics from MIT and the University of Maryland, and studied Art History at Wellesley College. He was Chief Scientist of the American arm of the $15B international Ricoh Company and Rambus Fellow at Rambus, Inc. He has held faculty positions in Physics, Mathematics, Computer Science, Statistics, Electrical Engineering, Computation & Mathematical Engineering, Neuroscience, Psychology, and Art and Art History variously at Wellesley and Swarthmore Colleges, Clark, Boston, and Stanford Universities, and the Technical University of Vienna. He is a Fellow of IEEE, OSA, SPIE, IS&T, IAPR, IARIA, and AAIA, and a Senior Life Member of ACM. He holds 64 US patents, and has published over 220 peer-reviewed scholarly articles and eight books/proceedings volumes, including "Pattern classification" (2nd ed.), "Seeing the light: Optics in nature, photography, color, vision, and holography," "HAL's Legacy: 2001's computer as dream and reality," and the forthcoming "Pixels & paintings: Foundations of computer-assisted connoisseurship." -
Maxwell Bradley Strange
Ph.D. Student in Electrical Engineering, admitted Autumn 2018
BioMax is a Ph.D. student in Electrical Engineering advised by Mark Horowitz. His research focuses on developing infrastructure and tools to facilitate agile hardware development as part of the ongoing efforts by the Stanford AHA! Research Center. His research interests also include domain-specific hardware architectures, hardware/software co-design, and embedded systems design. He graduated from the University of Wisconsin in 2017 with a B.S. in Computer Engineering and Computer Science.
