I'm a Research Associate at the Interdisciplinary Center for Security, Reliability, and Trust (SnT) at the University of Luxembourg, focusing on applied machine learning approaches for satellite communications systems. My current research centers on developing efficient on-board satellite image classification methods and semantic knowledge distillation frameworks for Earth observation applications.
Previously, I was a Postdoctoral Fellow at the Biomedical Information Processing Laboratory at École de technologie supérieure (ETS), where I worked on machine learning approaches for biomedical informatics problems, particularly in pediatric intensive care settings. I've made contributions in areas like photoplethysmogram signal processing, clinical text classification, and artifact detection using transformer-based architectures.
I hold a Ph.D. in Electrical Engineering with a focus on Applied Artificial Intelligence from ETS, where I developed novel deep learning approaches for healthcare applications. I've received several prestigious awards including the merit doctoral scholarship from Le Fonds de Recherche du Quebec Nature et Technologies and the NSERC-PERSWADE fellowship. My research interests span applied machine learning, satellite communications, biomedical signal processing, and natural language processing in clinical settings.
Previously, I was a Postdoctoral Fellow at the Biomedical Information Processing Laboratory at École de technologie supérieure (ETS), where I worked on machine learning approaches for biomedical informatics problems, particularly in pediatric intensive care settings. I've made contributions in areas like photoplethysmogram signal processing, clinical text classification, and artifact detection using transformer-based architectures.
I hold a Ph.D. in Electrical Engineering with a focus on Applied Artificial Intelligence from ETS, where I developed novel deep learning approaches for healthcare applications. I've received several prestigious awards including the merit doctoral scholarship from Le Fonds de Recherche du Quebec Nature et Technologies and the NSERC-PERSWADE fellowship. My research interests span applied machine learning, satellite communications, biomedical signal processing, and natural language processing in clinical settings.
Publications
Hybrid Deep Learning-Based Enhanced Occlusion Segmentation in PICU Patient Monitoring
Mario Francisco Munoz, Hoang Vu Huy, Thanh-Dung Le, P. Jouvet, R. Noumeir
IEEE Open Journal of Engineering in Medicine and Biology 2024
On-Air Deep Learning Integrated Semantic Inference Models for Enhanced Earth Observation Satellite Networks
Hong-Fu Chou, Vu Nguyen Ha, P. Thiruvasagam, Thanh-Dung Le, G. Eappen, T. Nguyen, Luis Manuel Garcés Socarrás, Jorge Luis González Rios, JUAN CARLOS MERLANO DUNCAN, S. Chatzinotas
arXiv.org 2024
On-board Satellite Image Classification for Earth Observation: A Comparative Study of Pre-Trained Vision Transformer Models
Thanh-Dung Le, Vu Nguyen Ha, T. Nguyen, G. Eappen, P. Thiruvasagam, Luis Manuel Garcés Socarrás, Hong-Fu Chou, Jorge Luis González Rios, JUAN CARLOS MERLANO DUNCAN, S. Chatzinotas
arXiv.org 2024
A Novel Transformer-Based Self-Supervised Learning Method to Enhance Photoplethysmogram Signal Artifact Detection
Thanh-Dung Le, Clara Macabiau, Kevin Albert, P. Jouvet, R. Noumeir
IEEE Access 2024
Multi-objective Representation for Numbers in Clinical Narratives Using CamemBERT-bio
Boammani Aser Lompo, Thanh-Dung Le
arXiv.org 2024