Xuan-Kien Dang was born in Hai Phong City, Vietnam. He received a Ph.D. in Control Science and Engineering from Huazhong University of Science and Technology in June 2012. He is the Head of the Science and R&D Department at Ho Chi Minh City University of Transport, Vietnam. He has been awarded the Best Paper Award at the Conference of Science and Technology, Ho Chi Minh City University of Transport (2018, 2023, 2025), Conference on “Smart Technology Application in Industry 4.0, Smart Cities and Sustainable Development” - STAIS (2024, 2025), the President Prize for Award Winner of the Excellent Paper of The 17th Asia Maritime & Fisheries Universities Forum (2018), and Doctoral Scholarship - Huazhong Univ. of Science & Tech., China, 2008-2012. His current research interests focus on Artificial Intelligent Transportation, Control Theory, Automation, Maritime Technology, Underwater Vehicles, Optimal and Robust Control, and Networked Control Systems. Dr. Dang has authored and co-authored multiple publications in international and national journals, conference proceedings, and technical reports. His research has been published in reputable journals indexed by ISI/Scopus. He has also presented his work at various international conferences on control systems, automation, maritime engineering, and intelligent transportation systems. His publications often focus on applying artificial intelligence, robust control techniques, and optimal control algorithms for complex systems such as autonomous underwater vehicles (AUVs), maritime navigation, and networked control systems. Additionally, Dr. Dang has participated in multiple scientific research projects at institutional and national levels, and he actively contributes as a reviewer for several peer-reviewed journals in the fields of control engineering and intelligent systems, Dr. Dang is also 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