IDS Member
Professor CHUI, Celine Sze Ling
The University of Hong Kong
📞 (852) 3917 6629
About Me
Professor Chui obtained her PhD degree from the Department of Pharmacology and Pharmacy at HKU in 2017. She had led the design and analysis of studies using electronic health records from multi-databases (including Hong Kong, Taiwan, United Kingdom, Sweden, and Australia). She was a visiting scholar (PhD exchange student) at the London School of Hygiene and Tropical Medicines in United Kingdom. She completed her post-doctoral training in the School of Public Health at HKU in 2019.
Professor Chui aims to utilize Big Data from multi-regional/national large healthcare databases and that collected in the community to improve public health. Her current research focuses on cardiovascular disease risk prediction and evaluation using artificial intelligence (AI), Big Data for antimicrobial resistance surveillance, and improving care of people living with dementia. Professor Chui is a Co-principal investigator of AI and Pharmaceuticals in Non-Communicable Diseases at the Laboratory of Data Discovery for Health (D²4H). Professor Chui is also the convener and active member of NeuroGEN (Neurological and Mental Health Global Epidemiology Network), and one of the lead researchers in the CARE Programme, a comprehensive surveillance programme to monitor known and potential adverse events of COVID-19 vaccines.
She is the Principal investigator of a cardiovascular risk prediction model designed for Hong Kong population – P-CARDIAC (Personalised – CARdiovascular DIsease risk Assessment for Chinese) which her work is extensively covered by the media. Professor Chui has an h-index (Scopus) of 21 and has published more than 80 articles in peer-reviewed journals such as The Lancet Infectious Disease, Annals of Internal Medicine, BMJ, JAMA Internal Medicine, and Journal of the American College of Cardiology.
Research Interests
Operating systems and distributed systems, including distributed big-data and parallel computing systems, distributed AI training/serving systems, blockchains, cloud computing systems, and distributed robotic learning/operating systems
Department of Computer Science
The University of Hong Kong
Rm 421, Chow Yei Ching Building
Professor Heming Cui joined HKU in January 2015 right after he received his PhD degree from Columbia University. Professor Cui is interested in building software infrastructures and tools to greatly improve the reliability, security and performance of real-world software. His recent research has led to a series of open source projects and publications in international top conferences and journals of broad areas, including SOSP, NSDI, ASPLOS, ATC, ICSE, EuroSys, DSN, TPDS, and TDSC. In recent three years, Professor Cui serves on the program committees of international top systems/networking conferences, including NSDI, ATC, EuroSys, DSN, SOCC, and ICDCS. Professor Cui also serves as constant reviewers for international top systems/networking/software/security journals, including TPDS, TOCS, TSE, TON, TMC, and TDSC. Professor Cui has won several worldwide competitive research awards, including a Croucher Innovation Award in 2016, a best paper award from ACSAC ’17, two Huawei flagship research grant awards in 2018 (blockchain and security) and 2021 (AI), and the Best Collaborating Scientist Medal from the Huawei Theory Lab in 2021.
Professor Cui’s recent research papers have led to commercial software releases with global leading IT industries. For instance, Professor Cui’s secure system papers (e.g., [Uranus AsiaCCS 2020] and [DAENet TDSC 2021]) on Trusted Execution Environments have become a core component of Huawei’s Trusted and Intelligent Cloud Services (see the UTEE component in https://www.huaweicloud.com/product/tics.html). In addition, Professor Cui is actively collaborating with industries to jointly publish research papers and to transfer the resultant systems from these papers into commercial software of broad areas, including distributed AI training systems, permissioned blockchain systems, security and privacy preserving systems, and geo distributed transaction database systems.

