Dr Zhou’s research sits within the College “Patient & Population Health and Informatics (PPHI)"Theme. His scholarly interests focus on data-driven approaches to epidemiology and public health problems using computing techniques, such as medical statistics, machine learning, computational intelligence, predictive analytics and data mining. He is particularly interested in intelligent data analysis of complex health records, and creation of innovative methods for extracting personally useful information, such as rules and patterns, concerning lifestyles and health conditions from routine health related data to promote healthier lifestyles and prevent disease. His on-going research topics include, but are not limited by
1) Identification of complex interactions of risk factors in epidemiological data.
2) Data driven approach to healthcare modelling and analytics using big health-related data.
3) Causal reasoning and modelling in epidemiology and public health.
4) Biomedical signal processing and applications:
(1) Physical activity and sedentary behaviour analysis
(2) EEG signals for charactering state of a patient's health.
5) Identifying adverse events in inpatients/outpatients and pharmacovigilance.
6) Identifying patient phenotype cohorts from electronic healthcare records
Dr Zhou sits on the IEEE Systems, Man and Cybernetics (SMC) Technical Committee on Enterprise Information Systems, and International Federation for Information Processing (IFIP) Technical Committee on Information Systems -WG 8.9. He was the recipient of IFIP-WG8.9 “Outstanding Academic Service Award" (2007).
Dr Zhou is the Associate Editor for “Journal of Intelligent & Fuzzy Systems” (ISSN : 1064-1246), and is a member of Editorial Board for “World Journal of Methodology” (ISSN: 1949-8462).