CIBCI Lab: Our Team
CAI students controlling vehicles with EEG headsets

 

Core members

Distinguished Professor CT Lin, Lab Director
  • Intelligent technology
  • Computational intelligence
  • Fuzzy neural networks (FNN)
  • Cognitive neuro-engineering
  • Brain-computer interface
  • Multimedia information processing
  • Machine learning
  • Robotics
  • Intelligent sensing and control
Dr Mukesh Prasad (Senior Lecturer)
  • Machine Learning
  • Computational Intelligence
  • Deep Learning
  • Data Analysis
  •  Fuzzy Neural Networks
  • Brain-computer Interface
  • Image processing
Dr YK (Yu-Kai) Wang (Senior Lecturer)
  • Neural Engineering in real-world experience 
  • Big data for biomedical and health informatics
  • EEG signal processing, mining and modelling
  • Brain-Computer Interface (BCI) to monitor human states and improve overall human performance
  • Fuzzy Neural Networks (FNN) and its applications
Dr Thomas Do (Senior Lecturer)

  • Brain-Computer Interfaces 

  • Artificial Intelligence

  • Neural Engineering

  • Signal Processing

  • Spatial Navigation

  • Robotics

Dr Avinash Singh (Lecturer)
  • Neural Engineering
  • Brain-Computer Interface
  • Cognitive Neuroscience
  • Transhumanism
  • Longevity
Dr Yu-Cheng Fred Chang (Post-Doctoral Research Associate)

  • Fuzzy Systems

  • Interpretable AI

  • Human-Autonomous Systems

  • Evolutionary Computation

  • Reinforcement Learning

  • Robotics
Dr Howe Zhu (Post-Doctoral Research Associate)

  • Extended Reality (XR/MR/VR/AR) technologies

  • Metaverse

  • Brain-Computer Interface 

  • Robotics

  • Digital Healthcare/Medicine

  • Wearable Sensory Technology

  • Sensory Perception/Augmentation

  • Human-Computer Interaction 

  • Artificial Intelligence 

  • Machine Learning
Dr Jie Yang (Post-Doctoral Research Associate)

  • Clustering Algorithm

  • Unsupervised Learning

  • Deep Learning

  • Multi-view Representation Learning

  • Computer Vision

  • Fuzzy Systems
Acknowledgement of Country

UTS acknowledges the Gadigal people of the Eora Nation, the Boorooberongal people of the Dharug Nation, the Bidiagal people and the Gamaygal people, upon whose ancestral lands our university stands. We would also like to pay respect to the Elders both past and present, acknowledging them as the traditional custodians of knowledge for these lands.