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The “Social Technology and Research Laboratory” (STAR Lab) is a HKU team that aims to develop novel IT technologies for serving the society. We are also interested in “Data Science for Social Good”, researching data-driven approaches that can benefit the public, NGOs, and government. The STAR Lab is now working with over 20 NGOs on family- and elderly- related projects.

Latest News

Prof. Reynold Cheng Shares Insights on Sha Ling Data Park in Sing Tao Daily

09/10/2026

Prof. Reynold Cheng was quoted in a Sing Tao Daily article discussing Hong Kong’s Sha Ling Data Park. He highlighted its potential to support university research, facilitate large-scale AI model training, and promote the commercialization of research outcomes.

 

Read the full article: Sing Tao Daily

Prof. Reynold Cheng Elevated to IEEE Senior Member

30/09/2026

We are pleased to share that Prof. Reynold Cheng has been elevated to IEEE Senior Member.

 

IEEE is one of the world’s largest professional organizations dedicated to advancing technology for the benefit of humanity. IEEE Senior Member is a professional grade recognizing significant professional experience and achievements in the field. Only 10% of IEEE’s nearly half a million members hold this grade, which requires extensive experience and reflects professional maturity and documented achievements of significance. This recognition also reflects Prof. Cheng’s continued contributions to research, education and the broader academic community.

 

Congratulations to Prof. Cheng on this achievement.

Prof.Reynold Named 2026 AI 2000 Most Influential Scholar Honorable Mention in Database

03/08/2026

Prof. Reynold Cheng has been included in the “2026 AI 2000 Global Artificial Intelligence Scholars List” and awarded the “2026 AI 2000 Most Influential Scholar Award Honorable Mention” in the area of Database, based on his publications from 2016 to 2025.

 

AI 2000 (https://aminer.org/ai2000), an initiative developed by the AMiner team at Z.AI, annually recognizes the 2,000 most influential scholars worldwide in Artificial Intelligence. The list covers 48 leading conferences and journals across 20 areas in Artificial Intelligence. The selection was based on 291,877 papers published between 2016 and 2025, involving contributions from 457,356 scholars globally. 100 scholars were chosen in each area, yielding a total of 2,000 honorees who have significantly advanced the frontiers of artificial intelligence research and innovation.

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