Simon James Fong

Simon Fong graduated from La Trobe University, Australia, with a 1st Class Honours BEng. Computer Systems degree and a PhD. Computer Science degree in 1993 and 1998 respectively. Simon is now working as an Associate Professor at the Computer and Information Science Department of the University of Macau. He is a co-founder of the Data Analytics and Collaborative Computing Research Group in the Faculty of Science and Technology.  Prior to his academic career, Simon took up various managerial and technical posts, such as systems engineer, IT consultant and e-commerce director in Australia and Asia. Dr. Fong has published over 432 international conference and peer-reviewed journal papers, mostly in the areas of data mining, data stream mining, big data analytics, meta-heuristics optimization algorithms, and their applications. He serves on the editorial boards of the Journal of Network and Computer Applications of Elsevier (I.F. 3.5), IEEE IT Professional Magazine, (I.F. 1.661) and various special issues of SCIE-indexed journals. Simon is also an active researcher with leading positions such as Vice-chair of IEEE Computational Intelligence Society (CIS) Task Force on "Business Intelligence & Knowledge Management", and Vice-director of International Consortium for Optimization and Modelling in Science and Industry (iCOMSI).

Download the keynote speech materials for ICT4SD 2021



Professional activities

Keynote Speaker at 2018 International Conference on Big Data Analysis (ICBDA 2018) 
Organizing Chair of International Conference of Big Data and IoT
(BDIoT 2017) 
KS of the 3rd Int. Conference on Soft Computing in Data Science
(SCDS 2017) 

My Profession, my passion

2013 - present    Associate Professor

1998 - 2012        Assistant Professor


Co-founder of Data Analytics and Collaborative Computing research group and DACC laboratory.


Other job titles in the industry include: Analyst Programmer, Network Engineer, Senior Consultant, Integrated Services Specialist and e-Business Director, etc.

Courses taught:


ECOM704 Fundamentals of E-Commerce (since '01)
ECOM707 Data Minings and Decision Support Systems (since '01)
ECOM713 Data Analytics in E-Commerce (since '01)

CISB310 Computer Networks (2016)
ELEC460 Data Comm. and Computer Networks ('01-'13)
IMSS013 Principles and Applications of Artificial Intelligence ('06)
IECM010 Electronic Payment Systems ('01-'04)
IECM011 Smart Card Technology and Applications ('01-'04)