BCompSc, BInfTech (Hons), PhD
Dean Research
Contact Details for Associate Professor Michael Blumenstein
Michael Blumenstein is an Associate Professor and the Dean (Research) of the Science, Environment, Engineering and Technology Group at Griffith University where he previously served as Head of the School of Information and Communication Technology.
Michael is a nationally and internationally recognised expert in the areas of automated Pattern Recognition, Handwriting Recognition, Document Analysis and Artificial Intelligence. He has published over 90 papers in refereed conferences and journals. His research spans numerous projects applying Artificial Intelligence to the fields of Engineering, Environmental Science, Neurobiology and Coastal Management. Michael has secured numerous internal/nationally competitive research grants to undertake these projects with funds exceeding $AUD3.5 Million. Components of his research into the predictive assessment of beach conditions have been developed for use by local government agencies, coastal management authorities and in commercial applications.
Michael has been invited to serve on a number of Journal Editorial Boards and to act as General Chair, Organising Chair, Program Chair and Committee member for numerous national/international conferences in his areas of expertise. Following his achievements in applying Artificial Intelligence to the area of bridge engineering (where he has published widely and has been awarded federal funding), in 2008 he was invited to serve on the International Association for Bridge and Structural Engineering’s Working Commission 6 to advise on matters pertaining to Information Technology. Michael is the first Australian to be elected onto this committee. In addition, he is Chair of the Queensland Branch of the IEEE Computational Intelligence Society. He is also the Gold Coast Chapter Convener of the Australian Computer Society in Queensland as well as the Chairman of the IT Forum Gold Coast and a Board Member of Software Queensland. In 2009 Michael was named as one of Australia’s Top 10 Emerging Leaders in Innovation in the Australian’s Top 100 Emerging Leaders Series supported by Microsoft.
Research Interests
- Pattern recognition
- Automated handwriting recognition
- Neural networks and applications
- Video analysis and object detection
- Image processing
- Artificial intelligence