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21 May 2021 (Friday) | 08:45am – 11:30am

The Workshop aims to provide a platform for innovative creation, development, and dissemination of research ideas and results on high-speed rail and metro systems with local, regional, and international professionals from government, academia and private sector.


19 March 2021 (Friday) | 7:45pm – 10:25pm

The Workshop aims to provide a platform for innovative creation, development, and dissemination of research ideas and results on high-speed rail and metro systems with local, regional, and international professionals from government, academia and private sector.


18 March 2021 (Thursday) | 12:30 PM – 1:45 PM

High dimensional and big data relate to every science discipline and every facet of life. Data science tools allow the user to extract important features to decipher information and events behind big data. In this lecture, Professor Qin introduces some fascinating tools from others and from his work that are illuminating, fancy, and informative.


17 October 2020 (Saturday) | 8:30 am – 5:30 pm

The Workshop aims to provide a platform for innovative creation, development, and dissemination of research ideas and results on high-speed rail and metro systems with local, regional, and international professionals from government, academia and private sector.


20 - 23 August 2020

President Way Kuo was invited to deliver a plenary speech in the 9th Asia-Pacific International Symposium on Advanced Reliability and Maintenance Modelling (APARM 2020) on Data-driven Crisis Management. The APARM conference series, held bi-annually, took place in Vancouver, Canada during August 20 - 23, 2020.


7 August 2020 (Friday) | 9:00am – 4:00pm

The Day will begin by the President Way Kuo’s opening address. World-renowned Artificial Intelligence scholar and entrepreneur, Dr Kai-Fu Lee, will deliver the keynote speech through online platform. The Day will feature two technical sessions to showcase HKIDS project presentations by faculties across CityU.


30 July 2020 (Thursday) | 9:00am – 4:00pm

One ultimate goal of Artificial Intelligence (AI) is to build a machine/system that can learn by itself, via interactions with the environment. One successful example is AlphaGo, an AI that plays the board game Go with world-class performance. The underlying framework that builds AlphaGo is called Reinforcement Learning (RL), a standard paradigm where an AI can respond to the environment.


16 Jun 2020 (Tue) | 09:00 AM - 12:30 PM, 02:30 PM - 06:20 PM

The School of Data Science co-organises the 2020 Virtual Crypto Forum with College of Business and GOSS Institute of Research Ltd, Crypto Review ad B2 Fintech School.


28 May 2020 (Thu) | 09:00 AM - 12:00 PM
29 May 2020 (Fri) | 09:00 AM - 12:00 PM

The School of Data Science will co-organise an online forum with College of Business and Hong Kong Institute for Data Science on 28 and 29 May 2020.