DAO Tien-Tuan

Research Engineer
[email protected]
http://publicationslist.org/daotientuan
Centrale Lille Institut, LaMcube (UMR 9013)

Expertise

Discover the specialized technical skills and disciplinary affiliations of our members, who represent the federated communities of the Arts & Humanities, Science & Engineering, and Medicine within the Sorbonne University Alliance.

Communities
Health, Medicine & Biology
Mathematics, Computer Science & Robotics
Skills
Data fusion, Decision making, Deep learning, Generative models, Geometric Deep Learning, Human machine interaction, Machine learning, Multi agent systems, Pattern recognition, Precision medicine, Problem solving, Reinforcement Learning, Statistical learning

Activities

Overview the professional milestones, academic responsibilities, and international collaborations that drive our center’s double ambition to excel in both research and education.

Responsibilities

Coordinateur scientifique du thème « Modélisation multi-physique et traitement des données multimodales» de l'équipe C2MUST (BMBI@UTC)

Awards

Finaliste (1/2) du prix « Jeune Chercheur » de la société de Biomécanique en 2017
Co-auteur du prix « Best Communication » (3) et « Best Poster » (1)
Prix de thèse « Guy Denielou » en 2010 (UTC, France)

Selected publications

A Ballit, T T Dao (2022)  Recurrent Neural Network to Predict Hyperelastic Constitutive Behaviors of the Skeletal Muscle Medical & Biological Engineering & Computing 60(4): 1177–1185


T N Nguyen, V D Tran, H Q Nguyen, D P Nguyen, T T Dao (2022)  Enhanced Head-Skull Shape Learning using Statistical Modeling and Topological Features Medical & Biological Engineering & Computing 60(2):559–581


K Nowakowski, P Carvalho, J B Six, Y Maillet, A T Nguyen, I Seghiri, L M'Pemba, T Marcille, S T Ngo, T T Dao (2021)  Human Locomotion with Reinforcement Learning using Bioinspired Reward Reshaping Strategies Medical & Biological Engineering & Computing 59:243–256.


D P Nguyen, MC Ho Ba Tho, T T Dao (2021)  Enhanced Facial Expression Recognition using 3D Point Sets and Geometric Deep Learning Medical & Biological Engineering & Computing 59(6), 1235-1244


T T Dao (2019)  From Deep Learning to Transfer Learning for the Prediction of Skeletal Muscle Forces Medical & Biological Engineering & Computing 57(5):1049–1058

International collaborations

UMI LAFMIA (Laboratoire Franco Mexicain d'Informatique et d'Automatique), CINVESTAV, Mexico (Dr. JRL Gutiérrez)
GREPCI Lab. ETS-Montreal, Canada (Prof. Imad Mougharbel)
Universidad de Valparaíso, Chile (Prof. Rodrigo Salas F.)