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Predictive Analytics in Healthcare with Machine Learning

"The Department of Data Science and Digital Innovation successfully held a Master Talk, "Predictive Analytics in Healthcare with Machine Learning," today at the Big Data Lab. We were delighted to welcome Prof. Thomas K. S. Choi, who shared his research experience and insights into the application of machine learning and artificial intelligence in healthcare predictive analytics. The talk provided students with valuable exposure to cutting-edge developments in AI-driven healthcare and stimulated inspiring discussions on the future of data-driven healthcare solutions. The Department sincerely thank Prof. Choi for his engaging and informative presentation."

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Dr. Liu Chang Exhibits XR Artworks at HKADC Showcase

Dr. Liu Chang, Assistant Professor in the Department of Data Science and Digital Innovation at Hong Kong Shue Yan University, is presenting two interactive artworks combining ceramic sculpture with extended reality (XR) technology at the group exhibition Invisible Footprint. The exhibition runs from 23 September to 6 October 2026 at HKADC SHOWCASE. Organised by the Federation of Hong Kong Jiangsu Youth, it receives funding from the Hong Kong Arts Development Council and City University of Hong Kong’s Cultural and Sports Committee, with equipment support from CityUHK’s School of Creative Media.

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HKSAR 30th Smart-Tech Design Competition: AIoT for Northern Metropolis

DSDI students are invited to take part in the HKSAR 30th Smart-Tech Design Competition: AIoT for Northern Metropolis, marking the 30th anniversary of Hong Kong's return to the Motherland. Xiaomi Corporation is the major sponsor and provides full software and hardware support through its own AIoT development platform. Teams of 2–4 students are asked to build a working AIoT model on one of three themes — Smart Living Green Smart Communities or Smart Infrastructure — and present their vision for the future development of the Northern Metropolis. All participating teams will receive dedicated workshop training on the Xiaomi AIoT platform between November 2026 and January 2027, so no prior experience with the hardware is needed. Prizes sponsored by Xiaomi include smart home appliances and digital products, and the First Prize also includes a study tour to Beijing with a visit to the Xiaomi Electric Vehicle Smart Factory