Dr Chee-Ming Ting is an Associate Professor in the School of Information Technology, Monash University Malaysia, where he also serves as the Director of Medical AI Research Hub. His expertise lies in machine learning and data science, with applications to biomedical imaging and signal analysis. Previously, he was a Senior Lecturer with the School of Biomedical Engineering and Health Sciences, University Teknologi Malaysia from 2014 to 2020, and a Research Scientist with the Computer, Electrical and Mathematical Sciences & Engineering Division, King Abdullah University of Science and Technology from 2017 to 2018. He was an Honorary Senior Research Fellow at the Division of Psychology and Language Sciences, University College London from 2020 to 2023.

Dr Ting has published over 38 journal papers, 64 refereed conference papers and 6 book chapters in signal processing, medical imaging, biomedical informatics and biomedical engineering. He has served as principal investigator (PI) and co-PI for research grants from university and goverment of over RM2.5 millions in total. He has graduated 4 PhD and 5 Masters students, and is now supervising 10 PhD Masters students. His research interests include signal & image processing, deep neural networks, computational statistics and statistical models for networks with applications to neuroimaging and other biomedical data for automatic prediction of diseases and patient monitoring.

Dr Ting received Research Excellence Award from the IEEE Signal Processing Society Malaysia for the Best IEEE Journal Paper respectively in 2019, 2022 and 2023, on a series of research work in analysing brain network data.  He also won several national and international innovations awards. He has served as referee for over 30 journals and IEEE flagship conferences, and as member in technical and organizing committees for international conferences. He is currently an Associate Editor for Statistics and Data Science in Imaging, and the Frontiers in Human Neuroscience, and is a Senior Member of IEEE Signal Processing Society.

• Biomedical signal and image analysis
• Deep learning
• Computational statistics
• Spatio-temporal modeling
• Network science
• Neuroimaging (fMRI & EEG)
• Brain connectivity analysis
• Computer-aided detection