Mien Van


Accepting PhD Students

PhD projects

- Resilient control for trustworthy autonomous systems - AI/Machine learning for Human-Computer Interface/Human-Robot Collaboration - AI/Machine Learning for Health Care - Shared control Human-Robot Grinding Systems for Metal parts - Cooperative control for multi-robot system - Optimal Human-robot collaboration for disassembly in Remanufacturing - Inline process condition monitoring for remote laser welding - Advanced industrial robots for 3D surface finishing


Research activity per year

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Personal profile

Research Focus


  • Dr. Van is a Lecturer in Robotics and Control Engineering. He has authored and co-authored for over 50 journal and 8 conference papers (first author >37 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 get >1100 citations, h-index=20. 
  • Dr. Van has participated in several major projects in Robotics and Control Engineering. For example, 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, 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.
  • Fault diagnosis and fault tolerant control for mechanical systems: robot, aerospace, etc.


Teaching: ELE4024: Robotics and Intelligent Systems

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Expertise related to UN SDGs

In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all. This person’s work contributes towards the following SDG(s):

  • SDG 3 - Good Health and Well-being


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