School of Engineering
Showing 1-100 of 133 Results
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David Dai
Masters Student in Computer Science, admitted Autumn 2022
BioI am a masters student at Stanford University majoring in Computer Science. I am currently in Stanford SVL and Partnership in AI-Assisted Care (PAC) Lab supervised by Dr. Fei-Fei Li and Dr. Ehsan Adeli.
Before joining Stanford, I graduated with the highest honor in Computer Science and Math from Emory University. I was in the Emory Brain Network Lab under the supervision of Dr. Carl Yang working on graph mining in the area of healthcare.
My research interests lie in computer vision, graph learning, bioinformatics, AI in healthcare, interpretation, and explainability. -
Onat Dalmaz
Ph.D. Student in Electrical Engineering, admitted Autumn 2023
Current Research and Scholarly InterestsI am interested in developing novel deep generative models for multi-modal medical imaging, particularly for medical image synthesis. My research aims to improve diagnostic information and patient comfort while decreasing examination costs and toxicity/radiation exposure. I devise new deep architectures and robust learning strategies for medical image reconstruction and synthesis techniques.
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Felipe de Quesada
Ph.D. Student in Materials Science and Engineering, admitted Autumn 2019
BioPhD Candidate in materials science, researching ultrafast structural dynamics of topological and energy materials in the Lindenberg research group.
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Nick Delurgio
Masters Student in Mechanical Engineering, admitted Autumn 2022
BioNick Delurgio is a graduate student in Mechanical Engineering at Stanford University. Nick previously received his B.S. in Aerospace Engineering from the University of Texas at Austin, where he developed in interest in Guidance, Navigation, and Control (GNC) for Aerospace applications. At Stanford, Nick is pursuing his interest in GNC through Distributed Space Systems (DSS) research, advised by Professor Simone D'Amico. Nick's research involves the development of dynamics, guidance, and control strategies for RPOD missions in eccentric orbits, as well as creating reduced order modeling techniques to simplify formation flying mission design.
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Arjun Desai
Ph.D. Student in Electrical Engineering, admitted Autumn 2019
BioArjun Desai is a 4th year PhD candidate working with Akshay Chaudhari and Chris Ré. He is broadly interested in how we can accelerate the pace at which artificial intelligence can be used robustly, safely and at scale in practice. His research focuses on the intersection of signal processing and machine learning and how we can build scalable deployment and validation systems for applications in heathcare and the sciences.
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Abhijit Devalapura
Masters Student in Computer Science, admitted Autumn 2021
BioSIEPR Undergraduate Research Fellow 2022-2023
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Sahil Dhakla
Masters Student in Civil and Environmental Engineering, admitted Autumn 2023
BioDedicated to advancing technology in construction, I am a results-driven professional with a proven track record in Virtual Design Construction (VDC) and sustainable project execution. As a Master's candidate in Sustainable Design & Construction at Stanford University, my expertise spans the realms of on-site construction, BIM, Augmented/Virtual Reality, and document control.
With a background as a VDC Engineer and Founder/Principal Consultant at BuiltVisor Pvt Ltd, I have led dynamic teams, facilitated cross-functional dialogue, and ensured the successful implementation of technology-driven workflows. My commitment to people-oriented organizations and sustainable practices aligns with my goal of contributing to societal upliftment through innovative technological solutions in the construction industry. -
Varun Dolia
Ph.D. Student in Materials Science and Engineering, admitted Autumn 2021
BioVarun Dolia is a Benchmark Fellow and a Ph.D. candidate in Prof. Jen Dionne's lab. He is excited about developing nanophotonic platforms for health and environmental monitoring.
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Yiwen Dong
Ph.D. Student in Civil and Environmental Engineering, admitted Autumn 2020
Ph.D. Minor, Electrical EngineeringBioYiwen Dong is a Ph.D. student in the Department of Civil and Environmental Engineering at Stanford University, advised by Prof. Hae Young Noh. Her research interest is human behavior characterization and health monitoring through their interactions with the physical structures. Her current work focuses on human and animal health monitoring through footstep/activity-induced structural vibrations.
While structures are traditionally considered as passive and indifferent, her works allow the structures to be both self-aware and user-aware. Yiwen developed systems that utilize ambient structural vibrations to infer human behaviors and health status, which enables many smart building applications such as in-home patient monitoring and elder care, intruder prevention and occupant management, animal health monitoring, and welfare. She strives for the next-generation intelligent infrastructures by exploring the potential of structural monitoring for human-centered purposes.
Yiwen has an interdisciplinary background in structural engineering, electrical engineering, and machine learning. Yiwen received her Master’s degree in Structural Engineering at Stanford University and her Bachelor’s degree in civil engineering at Nanyang Technological University. She won various awards (Best Paper Award, runner-ups in competitions) in ubiquitous computing and cyber-physical system conferences. She is passionate about combining the physical knowledge from structural dynamics, sensing approaches from cyber-physical systems, and data-driven models from machine learning to infer people’s behavior patterns and health status.