Dr. Trong-Nghia Nguyen
Affiliations. National Economics University.

National Economics University
207 Giai Phong street, Bach Mai ward
Hanoi, Vietnam
Email: nghiant@neu.edu.vn
He received the B.S. degree from the Department of Information Technology, Hue University of Science and Technology, Vietnam, in 2018 and the M.S. degree from the Department of Computer Vision, MICA, Hanoi University of Science and Technology, Vietnam, in 2020. He achieved his Ph.D. degree with the Department of Artificial Intelligence Convergence, Chonnam National University in 2025. His research is focused on pattern recognition, medical image and signal processing, time-series analysis, nature language processing, and large language models (LLM).
With a Ph.D. in Computer Science, his research focuses on pattern recognition, medical image, signal processing, and time-series analysis. He has developed advanced deep learning and machine learning algorithms for emergency care medicine, which improve real-time medical decision-making. His work bridges the gap between cutting-edge AI technology and practical healthcare applications, aiming to enhance patient outcomes and advance AI-driven healthcare solutions.
news
Sep 01, 2025 | Our paper entitled “MediFusion-Flex: An Adaptive Multimodal Deep Learning Framework for Clinical Deterioration Prediction in Emergency Medicine” has been accepted for presentation at THE 18TH MULTI-DISCIPLINARY INTERNATIONAL CONFERENCE ON ARTIFICIAL INTELLIGENCE 2025 (MIWAI 2025). |
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Aug 15, 2025 | Our paper entitled “Dual-stream transformer approach for pain assessment using visual-physiological data modeling” has been published in PeerJ Computer Science. |
Sep 23, 2024 | Our paper entitled “Temporal Variational Autoencoder Model for In-hospital Clinical Emergency Prediction” has been accepted for publication in the journal of Biomedical Signal Processing & Control. |
Aug 23, 2024 | Our manuscript entitled “Explainable Deep Contrastive Federated Learning System for Early Prediction of Clinical Status in-Intensive Care Unit” has been published in IEEE Access. |
May 30, 2024 | Our paper titled “Multi-Gradient Siamese Temporal Model for the Prediction of Clinical Events in Rapid Response Systems” has been accepted for publication in an upcoming issue of IEEE Intelligent Systems journal. |