• Dr. Van is a Senior Lecturer (a.k.a Associate Professor) in Robotics and Control Engineering. He has authored and co-authored for over 54 journal and 8 conference papers (first author >40 journal papers). Many papers are published in prestigious journals, including TFS (IF: 9.518), TMECH (IF: 5.673), TCYN (IF: 11.079), TII (IF: 9.112), T-SMC (IF: 9.309), MSSP (IF: 6.471), etc. His publication received >2200 citations and h-index=27. 
• Dr. Van has participated in several major projects in Robotics and Control Engineering.
• Lead PI-'Development of multiple underwater vehicles for ocean monitoring' in a collaboration with National Chiao Tung University (Taiwan), funded by NERC-MOST), 2022-2023.
• PI- 'Risk Aware Trustworthy Autonomous system' funded by NI DFE, 2022-2024.
• PI-'Artificial Intelligence-Enhanced Digital Twin for Multiple Collaborative Underwater Vehicles', funded by the Royal Society, 2022-2023
• PI-Development of Resilient and Collaborative Autonomous Marine Vehicles for Underwater Monitoring and Construction, 2022-2024.
• PI-Digital twins for underwater operations, funded by EPSRC/UK RAS Network, 2022-2023.
• And other Robotics projects: Human-robot collaborative systems in industrial unstructured environments (funded by A*Star), Dexterous and Flexible Robotic Hand with Force Sensing and Adaptive Compliant Control (funded by ONR Global, USA). Manufacturing project: RLW Navigator: Rapid development of remote laser welding process in automotive assembly (funded by FP7). Control engineering project: Control of Launch and Recovery in Enhanced Sea-States (funded by EPSRC).
• Dr. Van received a Best paper award from BK21 (south Korea goverment), the prestigious IET premium award, and Best paper award from ICROS (conference).
• Dr. Van is an Associate Editor of International journal of Control Autonomous System (IF:2.733) and Frontiers in Control Engineering, Scientic Report (IF:4.379) and Guest Editor of journal Sensor (IF:3.031).
• Dr. Van is a Guest Editor of the Special Issue: Finite-time/Fixed-time control for Mechaincal System of the Journal Actuators (IF: 1.957) 

Research Focus and Interest

• Resilient Risk-Aware Autonomy for Unmanned autonomous vehicles: develop health monitoring, disturbance observer, intelligent control and resilient control.
• In-process quality control for manufacturing systems: develop inline quality manufacturing, in-process quality control for welding and machining systems.
• Human-robot interaction: Shared control and safe control, intelligent human-robot interaction.
• Multiple collaborative vehicles: for underwater robots, mobile robots
• Fault diagnosis and fault tolerant control for mechanical systems: robot, aerospace, etc.

Teaching: ELE4024: Robotics and Intelligent Systems

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