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NEGIN MOGHADASI
* Ph.D. Candidate | Systems & Information Engineering | University of Virginia (UVA)
Research focuses on Data Science, Machine Learning/ Deep Learning, Data Mining, Trustworthy AI in Healthcare, AI in Healthcare
Ph.D. Endowed Graduate Fellowship Award Winner (Academic Excellence and Scholarship)
The Society for Risk Analysis Travel Award Winner
* Master of Engineering in Systems and Information Engineering | University of Virginia (UVA)
* Master of Project Management | University of Southern California (USC)
* Master of Science in Industrial and Product Design | University of Tehran (UT)
LEED GA, ASSOCIATE AIA
ABOUT ME
I am a Ph.D. candidate and graduate research assistant in Systems and Information Engineering at the University of Virginia (UVA) with a Masters degree in Systems and Information Engineering from the University of Virginia (UVA), a Masters degree in Project and Construction Management from the University of Southern California (USC) and a Masters degree in Industrial and Product Design from the University of Tehran.
My research interest lies in applying machine learning, deep learning and data science/Data mining methods to solve real-world complex problems specifically in healthcare. Also, I am interested in the risks of AI and explainable AI (XAI) in healthcare.
I support sponsored research projects at UVA with MIT, Johns Hopkins University, HDZ-NRW Hospital (Largest Heart Transplant Center in Europe), Western University of Medical Sciences, the Port of Virginia, and the Virginia Department of Transportation (VDOT). I served for a year as a Graduate Teaching Assistant in the National Science Foundation I/UCRC Center for Hardware & Embedded Systems Security and Trust (NSFCHEST.org). I led an undergraduate Capstone team of five students for two semesters in 2020-21.
Prior to initiating my Ph.D. journey, I was a senior associate consultant and analyst on large-scale projects. Working as a virtual design engineer. I was a data science and machine learning intern at Johnson and Johnson MedTech during the Summer of 2023.
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