School of Engineering
Showing 301-350 of 644 Results
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Constantine Sideris
Associate Professor of Electrical Engineering
BioConstantine Sideris is an Associate Professor of Electrical Engineering at Stanford University. Previously, he was an Assistant Professor at the University of Southern California from 2018 to 2025 and an Associate Professor from 2025 to 2026. He received the B.S., M.S., and Ph.D. degrees with honors from the California Institute of Technology in 2010, 2011, and 2017 respectively. He was a visiting scholar at UC Berkeley’s Wireless Research Center from 2013 to 2014. He was a postdoctoral fellow in the departments of Electrical Engineering and Computing and Mathematical Sciences at Caltech from January 2017 to August 2018.
He was the recipient of an ONR YIP award in 2023, an NSF CAREER award in 2021, an AFOSR YIP award in 2020, an AFOSR DURIP award in 2021, the Caltech Leadership Award in 2017, and an NSF graduate research fellowship in 2010. His research is highly interdisciplinary and bridges the fields of bioengineering, medicine, applied mathematics and computation with electrical engineering and physics.
His research interests include analog/RF integrated circuits, photonic integrated circuits, and computational electromagnetics for biomedical and biosensing applications and wireless communications. His current interests in biomedical devices include portable Point-of-Care in-vitro biosensors, wearable devices for real-time monitoring and analysis of biological signals, ingestible “smart” pills, and implantable devices. His current interests in computational electromagnetics include developing fast algorithms for simulating RF and nanophotonic devices and coupling them with efficient optimization algorithms to achieve the automated design of new, high-performance electromagnetic devices. -
Aaron Sidford
Associate Professor of Management Science and Engineering and of Computer Science
Current Research and Scholarly InterestsMy research interests lie broadly in the optimization, the theory of computation, and the design and analysis of algorithms. I am particularly interested in work at the intersection of continuous optimization, graph theory, numerical linear algebra, and data structures.
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Nicholas Siemons
Research Engineer, Precourt Institute for Energy
Postdoctoral Scholar, Materials Science and EngineeringBioNicholas began his academic career by studying integrated Masters at University College, London. During this time he published his first article, "Multiple exciton generation in nanostructures for advanced photovoltaic cells" - a review of how to produce photovoltaics with greater than 100% internal efficiencies. Following this Nicholas began research into solar voltaics and organic batteries in the group of Prof. Jenny Nelson at Imperial College, London. During this time Nicholas developed his keen interest in how to relate the chemical design of polymers to their ability to function as battery electrode materials. To achieve this goal, Nicholas applies atomistic simulation methods to such polymer systems, and relates the simulated findings to experimental results, bridging the gap between chemistry and device properties. As well as linking molecular chemical design to device performance, Nicholas applies novel simulation and analysis methodologies to study these systems, including Molecular Dynamics, Density Functional Theory, Molecular Metadynamics and Network Analysis.
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Lauren Simitz
Ph.D. Student in Aeronautics and Astronautics, admitted Autumn 2021
BioHi there! I'm an aerospace engineer, chemist, and geoscientist striving to both protect our world and advance technologies to explore new ones. Sustainability, teaching, and DEI are just as strong of passions, in and outside of the aerospace sector.
My work in industry (Chevron, SpaceX, Benchmark, Boeing) and academia catalyzed my interest in advancing sustainable, safe propulsion and energy systems. As a Stanford PhD candidate in the Hypersonics, Propulsion, and Energy Laboratory (HyPEL) working under Professor Ronald Hanson, I employ fluid mechanics, heat transfer, and chemical kinetics to experimentally probe combustion behavior. -
Basile Simon
Affiliate, Program-Weissman T.
BioDirector, Law Program at the Starling Lab for Data Integrity (Stanford EE, USC).
Focus on the evidentiary value of integrity / provenance / 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 and to the Visual Evidence Lab at CUBoulder. Technical advisor to the Hala Protocol on Audio. Resident at ECCHR law firm, and Investigative Commons collective. -
Barbara G Simpson
Assistant Professor of Civil and Environmental Engineering
BioOur research group is made up of a small team of talented students with a wide range of skills and experience. We explore advanced computational and experimental methods to characterize structural response. Our aim is to develop innovative structural systems that improve structural performance and reduce the effects of natural hazards on the built environment.
Research areas include resilient and sustainable design and retrofit of building structures and offshore renewable energy systems, performance-based earthquake engineering, and next-generation computational modeling, including real-time hybrid simulation for fluid-structure interaction. -
Robert Sinclair
Charles M. Pigott Professor in the School of Engineering
BioUsing high-resolution transmission electron microscopy, Sinclair studies microelectronic, magnetic thin film microstructure and nanomaterials.
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Karan P. Singh
Ph.D. Student in Electrical Engineering, admitted Autumn 2023
Masters Student in Electrical Engineering, admitted Spring 2025BioI am a third-year electrical engineering PhD student and NSF Graduate Research Fellow in the Stanford Translational AI Lab (STAI), advised by Dr. Ehsan Adeli. I am broadly interested in applied ML, and am currently working on foundation models for functional MRI to better understanding aging and brain network interactions.
Previously, I was a post-baccalaureate researcher 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. You can view more of my research on my website!
Outside of research, I enjoy playing the piano, badminton, calisthenics, and cooking! I am also a founder and president of the Stanford Piano Society.
