Reviewer for Nature Biomedical Engineering (Journal Impact Factor: ~30.0); CIC Asia Faculty Fellow at the Institute for People and Technology, Georgia Institute of Technology; Named as The Outstanding Young Vietnamese Face 2024 in the field of Science and Technology; One of the 10 Outstanding Young Faces of the Hanoi Capital in 2024; Invited speaker at MICCAI 2025; Paper accepted to ICLR 2025 conference (rank A star); Received the 'Rising Star in Research' award from VinUniversity; Offering two PhD positions with Cornell University on human-centered healthcare design for low-cost, smart health applications; Four papers accepted by the 2025 IEEE International Symposium on Biomedical Imaging (rank A); Research team (VinUni + EPFL) received funding from the Vietnamese-Swiss Joint Research Programme (NAFOSTED – SNSF) to develop the next generation of explainable vision-language foundation models for medical imaging; Awarded The Royal Academy of Engineering’s Leaders in Innovation Fellowships (LIF Global 2025).
Research Experience
Currently an Assistant Professor of Computer Science at VinUniversity; Visiting Scholar at the Coordinated Science Laboratory at the University of Illinois Urbana-Champaign (UIUC) since 2023; Associate Director of the VinUni-Illinois Smart Health Center (VISHC) since 2022; Research Scientist at Vingroup Big Data Institute for two years, focusing on Medical Imaging Analysis; Worked on the Air-Cobot project at ICA laboratory, led by AKKA Technologies and AIRBUS group, in 2015; Graduate internship at International Research Institute MICA, Hanoi, Vietnam, and AGIM laboratory, Université Grenoble Alpes, Grenoble, France.
Education
Received a Ph.D. degree in Computer Science from the University of Toulouse, France, in 2019; Bachelor's degree from Hanoi University of Science and Technology.
Background
Research interests include Artificial Intelligence (AI), Machine Learning, Deep Learning, and Computer Vision, especially their applications in Smart Healthcare, e.g., Medical Imaging Diagnosis, AI-based Computer-aided Diagnosis (AI-CAD), AI-assisted Diagnosis and Treatment, AI-assisted Disease Prevention and Risk Monitoring.
Miscellany
Looking for self-motivated Postdocs, Ph.D. students, Research Assistants, and Interns interested in artificial intelligence for smart healthcare, computer vision, machine/deep learning, and natural language processing; Remote collaboration is also welcome.