Hi! Welcome to my website. I am a Professor in the Department of Computing, Division of Information and Communication Sciences, Macquarie University, Sydney, NSW, Australia. I am the co-founder of the Intelligent Systems Group at Macquarie. See the Projects link for information on current and past projects and the Research Grants page for available funding. If you are interested in research, please contact me. I received my B.Sc. and M.Sc. in Computer Science and Engineering from Hacettepe University, Ankara, Turkey, and Ph.D.(1991) in Computer Science from The University of Victoria (UVic) , Victoria, British Columbia, Canada. The topic of my PhD thesis was “Intensional Logic Programming”. My thesis advisor was Prof. Bill Wadge, co-inventor of the Lucid language. Prior to joining Macquarie University as a Lecturer in September 1992, I worked as a post-doctoral research associate at UVic in the Rigi project on software reverse engineering and analysis, initiated by Professor Hausi A. Muller in the mid-eighties. My current research interests lie in the areas of computational intelligence, multi-agent systems, trust and security, temporal reasoning, formal methods. I am a Senior Member of IEEE, and member of ACM, IEEE Computer Society, ALP, ASL and AAL .
Areas of expertise: Data Mining
Sanjay Chawla is Professor of Pattern and Data Mining in the School of Information Technologies, University of Sydney. He served as the Head of School during 2008-11. His research work has appeared in leading data mining journals and conferences including ACM TKDD, Machine Learning, IEEE TKDE, DMKD, ACM SIGKDD, IEEE ICDM, SDM, and PAKDD. He is an associate editor for IEEE TKDE and serves on the editorial board of Data Mining and Knowledge Discovery. He served as a Program Co-Chair of PAKDD 2012. He received his PhD in 1995 from the University of Tennessee, Knoxville, USA under Professor Suzanne Lenhart. Research interests My interests straddle data mining, machine learning and spatial data management. I also enjoy discussing philosophical issues related to data mining. My current emphasis is on problems such as:
- Anomaly detection in high dimensional space.
- Classification for imbalanced data.
- Learning in adversarial environments.
Areas of expertise: Data Mining / Learning in adversarial environments
Longbing Cao got one PhD in Intelligent Sciences in Chinese Academy of Sciences and another in Computing Science from the University of Technology Sydney (UTS). He is a professor of information technology at UTS, the Founding Director of the university’s research institute Advanced Analytics Institute and a core member of the Data Sciences and Knowledge Discovery Lab at the Centre for Quantum Computation and Intelligent Systems at the Faculty of Engineering and IT, UTS. He is also the Research Leader of the Data Mining Program at the Australian Capital Markets Cooperative Research Centre, the Chair of ACM SIGKDD Australia and New Zealand Chapter, IEEE Task Force on Data Science and Advanced Analytics, and IEEE Task Force on Behavioral, Economic and Socio-cultural Computing. He is a Senior Member of IEEE, SMC Society and Computer Society. He serves as associate editor and guest editor on such journals as ACM Computing Surveys, as conference co-chair of KDD2015, PAKDD13 and ADMA13, and program co-chair or vice-chair of PAKDD11, ICDM10, IAT11, ADMA10 etc., and program committee member on around 100 conferences including KDD, ICDM and AAMAS. He joined UTS in 2005 after he served as an editor, marketing strategist and then Chief Technology Officer in China More details
Areas of expertise: Data Mining / Data Science