Chee-ming Ting
Director, Medical AI Research Hub, School Of Information Technology
Malaysia
Summary
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Senior🎓
Top SchoolChee-Ming Ting is a Director and Associate Professor leading the Medical AI Research Hub at Monash University Malaysia, with a strong track record in statistical signal processing and biomedical AI. He holds a PhD in Applied Statistics and has applied state-space models, sequential Monte Carlo methods and deep learning to EEG/fMRI analysis, brain connectivity and high-dimensional neuroimaging problems. His career spans academic appointments and visiting research roles at UCL, KAUST, UC Irvine, Melbourne and Edinburgh, reflecting a consistent focus on bridging theory and practical neuroimaging applications. An IEEE Signal Processing Society senior member, he has won multiple IEEE Research Excellence awards for journal papers on brain network analysis and regularly teaches and advises on advanced time-series and Bayesian filtering methods. Less obvious is his long-standing work on HMM-based Malay speech synthesis and speech recognition early in his career, showing versatility across speech and neural signal domains.
8 years of coding experience
6 years of employment as a software developer
PhD, Mathematics (Applied Statistics), PhD, Mathematics (Applied Statistics) at Universiti Teknologi MalaysiaSekolah Idris Shah Gopeng
Chinese, English, Malay, Chinese
Stackoverflow
1reputation
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Github contributions (2)
CheeMingTing/fused-low-rank-plus-sparse-recovery
Nov 2021 - Dec 2021
Contributions:22 commits, 21 pushes, 1 branch in 1 month
CheeMingTing/factor-switching-VAR-model
Nov 2017 - Nov 2021
Contributions:8 commits, 7 pushes, 1 branch in 3 years 11 months
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