cv
This is a description of the page. You can modify it in '_pages/cv.md'. You can also change or remove the top pdf download button.
General Information
| Full Name | Trong-Nghia Nguyen |
| Date of Birth | Not specified |
| Languages | English, Vietnamese |
| nghiant@neu.edu.vn | |
| Current Affiliation | National Economics University, Hanoi, Vietnam |
Education
-
2025 Ph.D. in Artificial Intelligence Convergence
Chonnam National University, Gwangju, South Korea - Research focused on pattern recognition, medical image and signal processing
- Developed advanced deep learning algorithms for emergency care medicine
- {"Thesis"=>"Multi-Stage Deep Learning Framework with Distributed Contrastive Methods for Rapid Response System"}
-
2020 M.S. in Computer Vision
MICA, Hanoi University of Science and Technology, Vietnam - Specialized in computer vision and image processing
- Research in multi-shot person re-identification
-
2018 B.S. in Information Technology
Hue University of Science and Technology, Vietnam - Foundation in information technology and computer science
Current Position
-
2025 - Present Faculty Member
National Economics University, Hanoi, Vietnam - Teaching and research in artificial intelligence and machine learning
- Developing AI solutions for healthcare and medical applications
- {"Address"=>"207 Giai Phong street, Bach Mai ward, Hanoi, Vietnam"}
Research Interests
-
Artificial Intelligence and Machine Learning
- Deep learning algorithms for medical applications
- Time-series analysis and prediction
- Pattern recognition and computer vision
-
Medical AI Applications
- Clinical deterioration prediction
- Emergency care medicine
- Medical image and signal processing
-
Natural Language Processing
- Large language models (LLM)
- Text analysis and processing
Selected Publications
-
2025 Dual-stream transformer approach for pain assessment using visual-physiological data modeling
PeerJ Computer Science - Published in PeerJ Computer Science, Volume 11, e3158
- {"DOI"=>"10.7717/peerj-cs.3158"}
-
2025 Temporal Variational Autoencoder Model for In-hospital Clinical Emergency Prediction
Journal of Biomedical Signal Processing and Control - Published in BSPC, Volume 100, Pages 106975
- {"DOI"=>"10.1016/j.bspc.2024.106975"}
-
2024 Multi-Gradient Siamese Temporal Model for the Prediction of Clinical Events in Rapid Response Systems
IEEE Intelligent Systems - Published in IEEE Intelligent Systems
- {"DOI"=>"10.1109/MIS.2024.3408290"}
-
2024 Explainable Deep Contrastive Federated Learning System for Early Prediction of Clinical Status in Intensive Care Unit
IEEE Access - Published in IEEE Access, Volume 12, Pages 117176-117202
- {"DOI"=>"10.1109/ACCESS.2024.3447759"}
Conference Presentations
-
2025 MediFusion-Flex: An Adaptive Multimodal Deep Learning Framework for Clinical Deterioration Prediction in Emergency Medicine
THE 18TH MULTI-DISCIPLINARY INTERNATIONAL CONFERENCE ON ARTIFICIAL INTELLIGENCE 2025 (MIWAI 2025) - Accepted for presentation at MIWAI 2025
- Website: https://miwai25.miwai.org/
Technical Skills
- Programming Languages: Python, R, MATLAB, Java, C++
- Machine Learning Frameworks: TensorFlow, PyTorch, Scikit-learn, Keras
- Data Analysis: Pandas, NumPy, Matplotlib, Seaborn
- Deep Learning: CNN, RNN, LSTM, Transformer, Siamese Networks
- Medical AI: Clinical prediction models, Time-series analysis, Signal processing
- Tools: Git, Docker, Jupyter Notebook, LaTeX
Research Contributions
-
Healthcare AI Applications
- Developed deep learning models for clinical deterioration prediction
- Created explainable AI systems for medical decision support
- Implemented federated learning approaches for healthcare data
-
Computer Vision Research
- Multi-shot person re-identification systems
- Action unit detection using vision transformers
- Feature fusion techniques for improved performance
-
Signal Processing
- EEG signal denoising using hybrid CNN-LSTM approaches
- Temporal analysis of physiological signals
- Real-time medical signal processing applications