PROF. DR. LOO CHU KIONG
Department of Artificial Intelligence
Faculty of Computer Science and Information Technology
ckloo.umum.edu.myView CV | |
Publons | |
Scopus Link | |
Biography | |
Prof. Dr. Loo has conducted fascinating research over the 12 years in The University of Malaya, particularly in Lifelong Machine Learning, Explainable Robotics, Explainable AI and recently in Trustworth & Sustainable AI. His numerous publications on the topic have been well-received and have made a substantial contribution to the Continual Machine Intelligence. He has published more than 200 peer-reviewed journal and conference papers on neurorobotics and machine intelligence. In high-impact journals such as IEEE Transactions on Neural Networks and Learning Systems, Neural Networks, Journal of Neural Systems, IEEE Transactions on Cognitive and Developmental Systems, IEEE Transactions on Cybernetics, to name a few. Prof. Loo is also the recipient of JSPS fellowship award from Japan and the Georg Forster Fellowship award from Humboldt Foundation, Germany, Belt and Road Academic Fellowship Scheme, China. He has been the visiting professor of Osaka Metropolitan University, Japan, and King Mongkut's Institute of Technology Ladkrabang, Thailand and Adjunct Professor in The Harry Butler Institute, Murdoc University. He has applied the developed theory to medical diagnosis, prognosis, and brain-inspired Machine Intelligence, and the potential of his research findings has been successfully demonstrated in various domains, including digital healthcare and cognitive robotics. Chu Kiong has been recognized for his excellence in applied research that has commercial potential based on the 10 patents filed. He is one of the founders of UM spin-off company, UMCH Sdn. Bhd. specializing in AI-enabled connected healthcare solutions. Moreover, he is honoured Malaysia’s Research Star Award 2019 - Research and Innovation Excellence Awards, from the Ministry of Education as one of the most influential researchers in Malaysia. He received the Top Research Scientist Malaysia (TRSM) award 2020 from the Academy of Science Malaysia. |
Publication
Finance
Data-Driven Analysis of Patients’ Body Language in Healthcare: A Comprehensive Review
A masked graph neural network model for real-time gastric polyp detection in Healthcare 4.0
Privacy-Preserving Continual Federated Clustering via Adaptive Resonance Theory
A Survey of Wearable Lower Extremity Neurorehabilitation Exoskeleton: Sensing, Gait Dynamics, and Human-Robot Collaboration
Transforming Classroom Practice through Robotics Education.
Neural Information Processing, 21st International Conference, ICONIP 2014, Kuching, Malaysia, November 3-6, 2014. Proceedings, Part II
Neural Information Processing, 21st International Conference, ICONIP 2014, Kuching, Malaysia, November 3-6, 2014. Proceedings, Part III.
Neural Information Processing, 21st International Conference, ICONIP 2014, Kuching, Malaysia, November 3-6, 2014. Proceedings, Part I.
An Episodic-Procedural Semantic Memory Model for Continuous Topological Sensorimotor Map Building
Classification Using Optimized Synergetic Neural Network
Omnidirectional Human Intrusion Detection System Using Computer Vision Techniques
Quaternion Based Machine Condition Monitoring System.