Xingjun Ma


  • Artificial Intelligence in Simulation-based Training
  • To provide feedback to trainees in virtual training environments to support skill learning and decision making.
    Virtual reality (VR) based training is a modern training methodology that involves practice and learning in simulated (as opposed to physical) environments such as VR surgery/flight/driving simulators. Providing real-time tutoring feedback in such an environment is a challenging task. In this project, we explore and apply supervised data mining techniques to generate real-time feedback from available expert/novice behavioural samples, and validate these techniques in a VR surgical environment.

  • Understanding and explaining the adversarial property of deep neural networks
Last updated on June 13, 2017