Phuong Nguyen

Phuong Nguyen, Scientist, Ai and Machine Learning, University of Miami Institute for Data Science and Computing

Phuong Nguyen

Research Assistant Professor, Department of Computer Science
Phone: 305.243.1640
Office: Suite 600, Gables One Tower

 

Dr. Phuong Nguyen is a Scientist of Artificial Intelligence & Machine Learning in the Institute for Data Science and Computing (IDSC) at the University of Miami/UHealth. She is also a Research Assistant Professor at the Department of Computer Science and Electrical Engineering at University of Maryland Baltimore County (UMBC) and an affiliated faculty at the NSF, Center for Accelerated Real Time Analytics (CARTA). She received PhD in Computer Science from UMBC in 2012. Her research interests are artificial intelligence, federated learning, distributed computing, and blockchain technologies with applications to multi-sensor data fusion, climate modeling, medical imaging, and digital health.

Dr. Nguyen has led the development of AI-based Computer Aided Diagnosis using an active semi-supervised learning algorithm that is able to assist Radiologists in diagnosis of early lung cancer using Computed Tomography images. She is currently collaborating with The Center for Vascular Research, University of Maryland School of Medicine to develop AI-based analytic models for Venous Thromboembolism (VTE) Risk Assessment using patient Electronic Medical Records (EMR). Dr. Nguyen have published Machine Learning emulation of Planetary Boundary Layer and Microphysics parameterizations to speed up

Weather Research and Forecasting (WRF) model using Neural Network Architecture Search. Previously, she was a Faculty Research Assistant at University of Maryland College Park and a Guest Researcher at National Institute of Standards and Technology where she made a contribution to develop segmentation algorithms and analytics/visualization tools for analyzing large microscopy images of Cell Biology. Dr. Nguyen mentored Undergraduate and Graduate Students. Her over forty academic peer-reviewed articles, talks, and book chapter have been distributed by prominent workshops, conference proceedings, and journals. In addition, she is served as Graduate Committee Member and IEEE/Springer conferences/journals’ Committee Member.