Pham Duc Thinh, PhD
College of Engineering and Computer Science
Assistant Professor – Electrical Engineering
Biography
Dr. Pham received the B.Sc. degree in Computer Science from University of Science – Vietnam National University, Ho Chi Minh City, in 2011, the M.Sc. degree in Computer Science from Télécom Paris (EURECOM), France, in 2013, and the Ph.D. degree in Computer Science from Paris Sciences & Lettres (PSL) University, France, in 2019. He is currently an Assistant Professor of Electrical Engineering at the College of Engineering and Computer Science, VinUniversity, Vietnam, and a Principal Research Scientist serving as Chief Scientist at the Air Traffic Management Research Institute (ATMRI), Nanyang Technological University (NTU), Singapore. Prior to these roles, he was a Senior Research Fellow and Assistant Programme Director of the NTU AI Programme (2021–2025), a Research Fellow (2019–2021), and a Research Associate (2018–2019) at NTU, as well as a Lecturer-Researcher with the John von Neumann Institute, Vietnam National University (2014–2017). He has led teams of over 40 researchers in delivering large-scale national and international projects in applied artificial intelligence and machine learning. His research interests include multi-agent collaboration, real-time decision making, and human–AI hybrid collaboration in safety-critical domains. Dr. Pham has authored or co-authored more than 60 journal and international conference papers and received several best paper awards, including at ICRAT 2018, the Digital Avionics Systems Conference (DASC) 2024, and the Integrated Communications, Navigation and Surveillance Conference (ICNS) 2025. He has been invited to deliver tutorials and keynotes by the European Union Aviation Safety Agency (EASA) and major international air traffic management conferences. He also serves as an Associate Guest Editor for Advanced Engineering Informatics and Aerospace, and as a Program Committee Member and Co-Chair for multiple international conferences in air traffic management and AI.
· Applied Machine Learning and Deep Learning for Spatiotemporal Data
· Decision Making under Uncertainty in Safety-Critical Systems
· Human–AI Hybrid Collaboration and Trust in Autonomous Systems
· Generative AI for Personalization
· Cooperative and Non-Cooperative Multi-Agent Systems
· Game-Theoretic Modeling
· AI-Enabled Digital Twins for Transportation and Complex Systems
• Applications of Machine Learning and Optimization Theory
• Applied Data Science and Analytics
• Reinforcement Learning and Sequential Decision Making
• Multi-Agent Systems and Game Theory
• Computational Thinking
· Hasnain Ali, Duc-Thinh Pham, Sameer Alam, Michael Schultz, Max Z. Li, Yanjun Wang, Eri Itoh, and Vu Duong, ”Human-AI Hybrids in Safety-Critical Systems: Concept, Definition and Perspectives from Air Traffic Management.” In Advanced Engineering Informatics, Mar. 2025.
· Hasnain Ali, Duc-Thinh Pham, and Sameer Alam, ”Toward Greener and Sustainable Airside Operations: A Deep Reinforcement Learning Approach to Pushback Rate Control for Mixed-Mode Runways.” In IEEE Transactions on Intelligent Transportation Systems, May. 2024.
· Md Meftahul Ferdaus, Tanmoy Dam, Sameer Alam, and Duc-Thinh Pham, ”X-Fuzz: An Evolving and Interpretable Neurofuzzy Learner for Data Streams.” In IEEE Transactions on Artificial Intelligence, Feb. 2024.
· Yash Guleria, Duc-Thinh Pham, Sameer Alam, Phu Tran, and Nicolas Durand, ”Towards conformal au- tomation in air traffic control: Learning conflict resolution strategies through behavior cloning.” In Advanced Engineering Informatics, Jan. 2024.
· Duc-Thinh Pham, Yash Guleria, Sameer Alam and Vu N. Duong, ”Probabilistic Conflict Detection using Heteroscedastic Gaussian Process and Bayesian Optimization.” In IEEE Access, Oct. 2023.
· Hasnain Ali, Duc-Thinh Pham, Michael Schultz, and Sameer Alam, ”A Deep Reinforcement Learning Ap- proach for Airport Departure Metering Under Spatial-Temporal Airside Interactions.” In IEEE Transactions on Intelligent Transportation Systems, Oct. 2022.
· Phu N. Tran, Hoang QV Nguyen, Duc-Thinh Pham, and Sameer Alam. ”Aircraft Trajectory Prediction With Enriched Intent Using Encoder-Decoder Architecture.” In IEEE Access, 10 (2022): 17881-17896.
· Duc-Thinh Pham, Phu Tran, Sameer Alam, Vu Duong, and Daniel Delahaye, ”Deep Reinforcement Learning based Path Stretch Vector Resolution in Dense Traffic with Uncertainties.” In Transportation research. Part C, Emerging technologies, Nov. 2021.
· Duc-Thinh Pham, Thanh-Nam Tran, Sameer Alam, and Vu N. Duong. ”A Generative Adversarial Imita- tion Learning Approach for Realistic Aircraft Taxi-Speed Modeling.” In IEEE Transactions on Intelligent Transportation Systems, Oct. 2021.
· Duc-Thinh Pham, Sameer Alam and Vu Duong, ”An Air Traffic Controller Action Extraction-Prediction Model using Machine Learning Approach.” In Complexity, Nov. 2020.
· Phu N Tran, Duc-Thinh Pham, Sim Kuan Goh, Sameer Alam, Vu Duong, ”An Interactive Conflict Solver for Learning Air Traffic Conflict Resolutions.” In Journal of Aerospace Information Systems, Apr. 2020.
· 2019: Ph.D. in Mathematics and Computer Science, Paris Sciences & Lettres (PSL) University, France
· 2013: M.Sc. in Computer Science, Télécom Paris (EURECOM), France
· 2011: B.Sc. in Computer Science, University of Science – Vietnam National University, Ho Chi Minh City, Vietnam
· 2025 Two Best Paper Awards in Integrated Communications, Navigation and Surveillance Conference (I-CNS) in Brussels, Belgium.
· 2025 Best Paper Award in the 44th Digital Avionics Systems Conference (DASC) in Montreal, Canada
· 2024 Best Paper Award in the 43rd Digital Avionics Systems Conference (DASC) in San Diego, California, USA
· 2018 Best Paper Award in International Conference on Research in Air Transportation (ICRAT), Jun. 2018 in Barcelona, Spain
· 2011 EURECOM Scholarship for Master program of Télécom Paris (EURECOM), France
