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Xuan-Kien Dang received his Ph.D. in Control Science and Engineering from Huazhong University of Science and Technology, China, in June 2012. He has held the title of Full Professor since 2025 and is currently the Head of the Science and R&D Department at Ho Chi Minh City University of Transport.

Dr. Dang has received several academic awards, including the Best Paper Award at the Conference of Science and Technology, Ho Chi Minh City University of Transport in 2018, 2023, and 2025; the Best Paper Award at the Conference on “Smart Technology Application in Industry 4.0, Smart Cities and Sustainable Development” (STAIS) in 2024 and 2025; the President Prize for Excellent Paper at the 17th Asia Maritime & Fisheries Universities Forum in 2018; the Best Paper Award at the 4th EAI International Conference on Automation and Control in Theory and Practice; and a Doctoral Scholarship from Huazhong University of Science and Technology from 2008 to 2012.

His current research interests include artificial intelligence in transportation, control theory, automation, maritime technology, underwater vehicles, optimal and robust control, and networked control systems. He has authored and co-authored numerous publications in international and national journals, conference proceedings, and technical reports, including papers indexed in ISI and Scopus databases.

Dr. Dang’s research focuses on the application of artificial intelligence, robust control techniques, and optimal control algorithms to complex systems such as autonomous underwater vehicles, maritime navigation, and networked control systems. He has also participated in various institutional and national research projects and serves as a reviewer for peer-reviewed journals in control engineering and intelligent systems. In addition, Dr. Dang is the Editor-in-Chief of EAI Endorsed Transactions on Transportation Systems and Ocean Engineering.

• Add: No. 2, Vo Oanh Street, Thanh My Tay Ward, Ho Chi Minh City.

• E‐Mail: kien.dang@ut.edu.vn

• Mob: +84 936 795 179; 

• Citation Profiles: Google Scholar,  Scopus, and  WoS

• ORCID ID: https://orcid.org/0000-0002-5367-3992