Paul Kennedy

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.

He teaches at undergraduate and postgraduate levels, both coursework and research students, and in short courses. His teaching was recognised by a 2013 Office for Learning and Teaching (OLT) Citation for Outstanding Contributions to Student Learning, and he won a 2012 UTS Learning and Teaching Award for Strengthening the UTS Model of Learning, a 2020 Team Teaching Award and a 2019 Team Teaching Citation.

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 is a co-initiator of a research collaboration with the Children’s Hospital at Westmead, the University of Western Sydney and Queen’s University, Canada that, in part, involved developing a point-of-care clinical software tool to better diagnose and treat childhood leukaemia 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 on ethical use of AI.