2024 4th International Conference on Digital Society and Intelligent Systems (DSInS 2024)




Prof. Yonghui Li

The University of Sydney, Australia

Profile:Professor Yonghui Li received his PhD degree in November 2002. Since 2003, he has been with the Centre of Excellence in Telecommunications, the University of Sydney, Australia. Li is now a Professor and Director of Wireless Engineering Laboratory in School of Electrical and Information Engineering, University of Sydney. He is the recipient of theAustralian Research Council (ARC)Queen Elizabeth II Fellowship in 2008 and ARC Future Fellowship in 2012. He is an IEEE Fellow for contributions to cooperative communications technologies. His current research interests are in the area of wireless communications, with a particular focus on IoT, machine to machine communicaitons, MIMO, millimeter wave communications, channel coding techniques, game theory, machine learning and signal processing. Li holds a number of patents granted and pending in these fields.

Prof. Paul Kennedy, University of Technology Sydney, Australia裁剪.jpg

Prof. Paul Kennedy

University of Technology Sydney, Australia

Profile: Professor Paul Kennedy has been recognised for his decades-long contribution to data analytics teaching, learning and academic leadership. Professor and Head of the School of Computer Science in the Faculty of Engineering & IT, Paul is one of the main data analytics teachers at UTS.Paul also enjoys collaborative and multi-disciplinary research, with a focus on the data analytics of biomedical data. He mainly collaborates with paediatric cancer researchers to better understand and predict treatment outcomes for childhood cancer sufferers. He explores also other areas of data analytics and bioinformatics, including developing bioinformatics pipelines to facilitate animal vaccine discovery, developing text analytics approaches to scientific literature and social media, and developing methods for use with flow cytometry data.Paul is the Lab Director of the Biomedical Data Science Laboratory in the UTS Australian Artificial Intelligence Institute, which aims to use knowledge as the infrastructure to support decision making in biomedicine. He is also co-director of the UTS Ontario Tech Joint Research Centre for AI in Health and Wellness. He has also served the research community by working on the Organising Committee for the Australasian Data Mining Conference since 2006, and has been co-editor of AusDM proceedings many times. He was co-chair of the 2015 Australasian Computing Science Week. He has contributed to many international program committees and reviewed for international journals and books. He is an ARC Expert Assessor and has co-authored more than 100 publications. He has graduated 17 PhD students and regularly reviews HDR theses. He is also a member of the Institute of Analytic Professionals Australia. Paul has been awarded research funding exceeding $2.4 million, and has considerable industry experience developing software and running DM projects, including with Cancer Australia mapping population-level cancer treatment pathways. He is a committee member for ISO/IEC SC42 producing standards