Keynotes

Professor Gillian Dobbie

Professor Gillian Dobbie

Professor Gillian Dobbie is widely recognised for her research in database systems and artificial intelligence. She holds a PhD in Computer Science from the University of Melbourne, where she specialized in database theory and design. Her research interests encompass a wide range of topics, including conceptual modeling, knowledge representation, query optimization, data privacy, data stream mining, continual learning, and adversarial learning. She has published over 160 papers in top-tier conferences and journals, such as SIGCSE, ICDM, SIGIR, CIKM, ICDE, SIGMOD, TODS, ACM Computing Surveys. She was awarded the DASFAA 10+ Year Best Paper Award for her research contribution with Prof Ling Tok Wang and Prof Mengchi Liu. Professor Dobbie is a Fellow of the Royal Society of New Zealand. 

 

Bing Xue

Bing Xue

Bing Xue is currently Professor of Artificial Intelligence, Deputy Head of School for Engineering and Computer Science, Deputy Director of Centre for Data Science and Artificial Intelligence at Victoria University of Wellington (VUW). Her research focuses mainly on artificial intelligence, evolutionary computation and machine learning, such as feature selection, evolutionary deep learning, and image analysis, and their real-world applications in biology, healthcare, aquaculture, forest, and others. She has over fully refereed 350 publications and leading several prestigious research grants.
Professor Xue is currently the Editor of IEEE CIS Newsletter, Chair of IEEE CIS Evolutionary Computation Technical Committee, and Chair of IEEE CIS Task Force on Evolutionary Deep Learning and Applications. She also chairs many international conferences, such as General Chair of PRICAI 2025, Conference chair of IEEE CEC 2024, Proceedings chair of ACM GECCO 2023, and Panel chair of CEC 2023. She has also served as an Associate Editor of several international journals, such as IEEE TEVC, TAI, CIM, TETCI, and ACM TELO. She is also a Fellow of Engineering New Zealand.

 

 

This event is endorsed by the Research Software Engineers (RSE) Association of Australia and New Zealand (RSE-AUNZ)

 

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