Stanford University
Showing 201-280 of 280 Results
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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. -
Ramzi Emanuel Dudum
Clinical Scholar, Medicine - Cardiovascular Medicine
Postdoctoral Scholar, General Internal Medicine
Masters Student in Health Policy, admitted Autumn 2022BioDr. Dudum is a cardiologist and population health expert working to develop novel risk prediction methods and implementation strategies to create practices and systems that allow for reductions in cardiovascular disease. He completed a Masters in Public Health at Johns Hopkins concentrating in epidemiology and biostatistics and a Doctorate of Medicine at George Washington University.
He completed internal medicine residency training as part of the Osler Medical Service, where he worked under the mentorship of Drs. Roger Blumenthal and Michael Blaha to study improving cardiovascular risk prediction and coronary artery calcium. Given his focus on population health and implementation science, he also helped launch and refine risk adjustment tools and implemented guideline-directed medical care pathways. During his time there, he was recognized for his clinical acumen and dedication to patient care.
He came to Stanford for his cardiovascular medicine fellowship and continued research in coronary artery calcium under the mentorship of Drs. David Maron and Fatima Rodriguez while also conducting cardiovascular health implementation science work under the mentorship of Dr. Steve Asch. He serves as the co-investigator of a prospective randomized trial testing the effects of notification of incidental coronary artery calcium on statin initiation rates among those with and without cardiovascular disease (NCT 05588895). He has worked with hospital leaders to implement digital health and artificial intelligence tools, creating the infrastructure for the prospective use of AI-algorithms on radiology studies. As a preventive cardiologist and population health expert, he leads efforts in the preventive cardiology section related to improving cardiovascular health. -
David Durst
Ph.D. Student in Computer Science, admitted Autumn 2017
BioDavid is a Computer Science PhD candidate at Stanford University. He's advised by Kayvon Fatahalian and Pat Hanrahan and affiliated with the AHA Agile Hardware Center. His research focuses on programming languages and computer architecture. He's supported by an NSF Graduate Research Fellowship and a Stanford Graduate Fellowship in Science and Engineering. Previously, he worked at BlackRock as a Financial Modeling Group Analyst and received a B.S.E. in Computer Science from Princeton University in 2015.