Keynote Speakers
Please check back regularly as more information will be added as it is received from each speaker.
Fang Chen
Distinguished Professor Fang Chen is a globally recognized leader in AI and data science. She currently serves as the Executive Director of the Data Science Institute at the University of Technology Sydney. Previously, she held roles as Dean of the Faculty at Beijing Jiaotong University and senior leadership positions at Intel, Motorola, and the Commonwealth Scientific and Industrial Research Organisation (CSIRO). She serves as the Steering Committee Chair for ACM Intelligent User Interfaces.
Her extensive expertise lies in developing innovative, data-driven solutions that address complex challenges across large-scale networks in sectors such as transportation, water, energy, agriculture, telecommunications, education, health, and real estate. She is a committed advocate for ethical and human-centered AI practices.
Nikola K. Kasabov
Professor Nikola K Kasabov is a Life Fellow of IEEE, Fellow of the Royal Society of New Zealand, Fellow of the INNS College of Fellows, DVF of the Royal Academy of Engineering UK. He has Doctor Honoris Causa from Obuda University, Budapest. He is the Founding Director of KEDRI and Professor at Auckland University of Technology and director of Knowledge Engineering Ltd. He is also Visiting Professor at IICT Bulgarian Academy of Sciences and Dalian University, China and Honorary Professor at the University of Auckland NZ and Peking University in Shenzhen.
Danilo Mandic
Danilo P. Mandic is a Professor of Machine Intelligence with Imperial College London, UK, and has been working in the areas of machine intelligence, statistical signal processing, big data, data analytics on graphs, bioengineering, and financial modelling. He is a Fellow of the IEEE and the current President of the International Neural Network Society (INNS). Dr Mandic is the Director of the Laboratory for Artificial Intelligence and Data Analytics (AIDA-LAb, www.aidalab.co.uk), and has more than 600 publications in international journals and conferences. He has published two research monographs on neural networks, entitled “Recurrent Neural Networks for Prediction”, Wiley 2001, and “Complex Valued Nonlinear Adaptive Filters: Noncircularity, Widely Linear and Neural models”, Wiley 2009 (both first books in their respective areas), and has co-edited books on Data Fusion (Springer 2008) and Neuro- and Bio-Informatics (Springer 2012).
Giovanni Russello
Professor Giovanni Russello is a Cyber Security specialist and the Head of the School of Computer Science at the University of Auckland, New Zealand. Giovanni previously served as the Director of the Cyber Security Research Programme, a multi-million-dollar project funded by the Ministry of Business Innovation and Enterprise aimed at enhancing New Zealand's cyber security posture and fostering collaboration between New Zealand and Australian researchers. Additionally, he is the founding Co-Director of the Cyber Security Foundry, the first multi-disciplinary center in New Zealand for Cyber Security, focused on strengthening collaboration between industry and academia. From 2013 to 2014, Giovanni held the position of founding CEO at a startup targeting the smartphone security market.
His research interests include human-centered cyber security, policy-based security systems, privacy and confidentiality in cloud computing, smartphone security, and applied cryptography.
Yong-Duan Song
Professor Yong-Duan Song is a Fellow of IEEE, Fellow of AAIA, Fellow of International Eurasian Academy of Sciences, and Fellow of Chinese Automation Association. He was one of the six Langley Distinguished Professors at National Institute of Aerospace (NIA), USA and register professional engineer (USA). He is currently the dean of Research Institute of Artificial Intelligence at Chongqing University. Professor Song is the Editor-in-Chief of IEEE Transactions on Neural Networks and Learning Systems (TNNLS) and the founding Editor-in-Chief of the International Journal of Automation and Intelligence.