Prof. LIU Xiaofan (劉肖凡)

Prof. Xiaofan Liu is a computational social scientist. His research focuses on using AI and network science to analyze human behaviors on the Internet, the dark web, and in the cryptocurrency industry. He has authored over 70 papers and a book on his research topics. His work has garnered funding from the National Natural Science Foundation of China (NSFC), the Hong Kong Research Grants Council (RGC), Innovation and Technology Commission (ITC), the Bill & Melinda Gates Foundation, and the Minderoo Foundation. His industrial collaborators include telecommunication companies, marketing companies, and police forces. His research has significantly contributed to the fields of crime prevention, public opinion analysis, and understanding collective sentiments. He founded Eurybia Technology Ltd., a technology powerhouse for the Web3 industry.

Prof. Liu holds a Bachelor of Science with Honours in Internet and Multimedia Technologies and a Ph.D. in Network Science from the Hong Kong Polytechnic University, earned in 2008 and 2012 respectively. Previously, he was a visiting scholar at Imperial College London and an Associate Professor at the School of Computer Science and Engineering at Southeast University. He is currently affiliated with Prof. Jonathan Zhu's Web Mining Laboratory, Prof. Ron Chen's Centre for Complexity and Complex Networks, and the Laboratory for AI-powered Financial Technology Ltd., an InnoHK research centre.

• Computational Social Sciences
• Cryptocurrency and Dark Web

• 刘肖凡、李正龙，“群组间消息传播路径挖掘方法与系统”，中国发明，专利号 ZL 2017 1 01154048.7
• 刘肖凡、李正龙，“一种基于在线社交平台群聊数据对群成员进行关联的系统及方法”，中国发明，专利号 ZL 2016 1 0482435.3
• 庆光蔚、王会方、丁树庆、冯月贵、刘肖凡、高逸夫、胡静波、冯文龙、韩郡业、张军、米涌、王建华、梁秉、方铭杰，“一种基于最小加权时间距离的电梯救援站点最优选址方法”，中国发明，专利号 ZL 2017 1 0236990.2 （国家市场监管总局2020年度市场监管科研成果二等奖）
• 蔡成委、韦志群、刘肖凡，“一种基于用户画像动态轨迹模型的广告推荐方法及系统”，中国发明，公开号 CN108665083A，公开日2018年10月16日。

• COM3203 - Digital and Data Journalism for Bachelor students
• COM5507 - Social Media Data Acquisition and Processing for MA students
• COM5508 - Media Data Analytics for MACNM students
• COM8010 - Computational Social Science Methods for research students