Prof. Guandong Xu（IET Fellow）

University of Technology Sydney, Australia

Research area: Data Science, Artificial Intelligence, Recommender Systems, Social Computing and their applications

Brief: Dr Guandong Xu is a Professor in the School of Computer Science and Advanced Analytics Institute at University of Technology Sydney. He received MSc and BSc degree in Computer Science and Engineering, and PhD in Computer Science. Before he joined UTS in 2012, he took various research positions at European and Australian universities. His research has received research funding from Australian Research Council, government agencies, and industry corporates totalling over $5M in past years.

He is recipients of a number of awards from Academia and Industry, including 2018 Top 10 Analytics Leaders by Australian Analytics Professional Peak Body (IAPA), 2018 UTS Vice-Chancellor Research Excellence Award Finalist, 2018 Australian Computer Society Disruptor Award Finalists, 2018 Australasian Database Conference Best Student Paper Award, 2017 NSW Winner of Marketing Excellence Award in Customer Research, 2016 BigInsights Data Innovation Award Winner in Customer Insights.

Prof. Dave Towey（IEEE/ACM Senior Member）

University of Nottingham Ningbo China, China

Research area: Metamorphic Testing, Adaptive Random Testing, Technology-enhanced Teaching & Learning, Fault Localization, Computer Security

Brief: Professor Dave Towey received the BA and MA degrees in computer science, linguistics, and languages from the University of Dublin, Trinity College, Ireland; the MEd degree in education leadership from the University of Bristol, U.K.; and the PhD degree in computer science from The University of Hong Kong, Hong Kong S.A.R., China. He has been with University of Nottingham Ningbo China (UNNC) since 2013, where he serves as the head of the School of Computer Science, and as deputy director of the International Doctoral Innovation Centre. He previously served as the associate dean of education and student experience for the Faculty of Science and Engineering. His current research interests include software testing (especially adaptive random testing, for which he was amongst the earliest researchers who established the field, and metamorphic testing) and technology-enhanced education. He co-founded the ICSE International Workshop on Metamorphic Testing in 2016. He is a fellow of the HEA, and a senior member of the ACM and IEEE.

Assoc. Prof. Xie Ming

Nanyang Technological University, Singapore

TItle: Science of Mind: New Foundation of Artificial Intelligence

Abstract: Does intelligence arise from brain or mind? The wrong answer to this question has led the research efforts into the wrong direction in the past decades. In this keynote speech, I will convince the audience about the astonishing truth which is to say that intelligence arises from mind but not from brain. This truth leads us to open the door toward achieving the science of mind which will be the new foundation of Artificial Intelligence. We know that Artificial Intelligence is regaining its wide popularity in recent years. On one hand, the importance of Artificial Intelligence is due to the availability of big data which is the result of the formation of large systems that are interconnected by various networks. On the other hand, robots and machines of tomorrow are urgently in need of gaining self-intelligence which will enable them to efficiently perform difficult tasks, and even to free people from doing dangerous jobs. With the rise of Artificial Intelligence in the public minds or eyes, people are putting a very high level of interests on knowing the scientific solutions behind the understanding and capabilities of self-skills and self-intelligence. Hopefully, this keynote speech will help the audience to understand the true nature of Artificial Intelligence which interestingly establishes the foundation of the Science of Mind.