School of Engineering
Showing 1,401-1,420 of 6,464 Results
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Robert Dutton
Robert and Barbara Kleist Professor in the School of Engineering, Emeritus
BioDutton's group develops and applies computer aids to process modeling and device analysis. His circuit design activities emphasize layout-related issues of parameter extraction and electrical behavior for devices that affect system performance. Activities include primarily silicon technology modeling both for digital and analog circuits, including OE/RF applications. New emerging area now includes bio-sensors and the development of computer-aided bio-sensor design.
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Arpit Dwivedi
Masters Student in Aeronautics and Astronautics, admitted Autumn 2024
BioArpit Dwivedi is pursuing his MS in Aeronautics and Astronautics at Stanford University. He received Bachelor of Technology degree in Mechanical Engineering with Honours and with Minor in Artificial Intelligence and Data Science from Indian Institute of Technology Bombay in 2024. His main research interests are in the robot learning, and control of autonomous systems, with an emphasis on self-driving cars, and space vehicles.
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Vijay Prakash Dwivedi
Postdoctoral Scholar, Computer Science
BioVijay Prakash Dwivedi is a Postdoctoral Scholar in Computer Science working on graph representation learning. He holds a PhD from Nanyang Technological University (NTU), Singapore. His work has made contributions to advancing benchmarks for Graph Neural Networks (GNNs), graph positional and structural encodings, and Graph Transformers as universal deep neural networks for graph-based learning. He has also contributed to the integration of parametric knowledge in large language models (LLMs) for diverse applications, particularly in healthcare. Several of the methods he developed during his PhD are now widely adopted in state-of-the-art Graph Transformers and other leading graph learning models. For his research, he received one of the Outstanding PhD Thesis Awards from the NTU College of Computing and Data Science. Vijay has over 7 years experience in both academia and industry with institutions including NTU, Snap Inc., Sony, and ASUS.
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John Eaton
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.
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Duncan Eddy
Postdoctoral Scholar, Aeronautics and Astronautics
BioDuncan Eddy is a research fellow in the Stanford University Department of Aeronautics and Astronautics. He completed his PhD in Aerospace Engineering from Stanford, funded by the National Defense Science and Engineering Graduate Fellowship. His current research is focused on decision-making in safety-critical, climate, and space systems, where operational decisions must be made quickly and correctly in complex environments while still being explainable and understandable by human stakeholders.
He is currently the Executive Director of the Stanford Center for AI Safety, and a post-doctoral researcher with appointments in Mineral-X and the Stanford Intelligent Systems Laboratory (SISL).
Prior to this, He started and led the Spacecraft Operations Group at Capella Space, the first US Commercial Synthetic Aperture Radar Earth Imaging constellation. There he developed the first fully-automated mission operations system, realizing lights-out tasking-to-delivery of radar satellite data for a commercial constellation. He subsequently started and led the Constellation Operations and Space Safety Groups at Project Kuiper. Most recently, he was a Principal Applied Scientist at Amazon Web Services, where he worked on building software services for large-scale distributed edge compute applications. -
Oskar Nils Leon Eden Wallberg
Graduate Visiting Researcher Student, Electrical Engineering
BioVisiting Student Researcher at Stephen P. Boyd's Lab, Departement of Electrical Engineering, Stanford University
