Resolving modern biomedical complications, especially those involving complex data, involves advanced computational and analytical methods. The huge quantities of data and escalating demands of modern research increasingly entail the sophistication and power of computational techniques for their pattern discovery. In this talk, I will establish to use artificial intelligence techniques for pattern mining in recent emerging medical applications.
Phoebe Chen is Professor and Chair at the Department of Computer Science and Information Technology, La Trobe University, Melbourne Australia. Phoebe received her PhD at the University of Queensland. She has published over 280 research papers, many of them appeared in top journals and conferences. She has been working in many emerging areas such as bioinformatics, multimedia, artificial intelligence, scientific visualization, pattern recognition, health informatics, data mining, deep learning and databases. Phoebe has won 20 Australian Research Council (ARC) grants and other research grants. She was also the Chief Investigator of ARC Centre of Excellence in Bioinformatics. She has been associate editors for IEEE Transactions on Neural Networks and Learning Systems and IEEE Transactions on Multimedia, Editor-in-Chief of Current Bioinformatics etc. Phoebe is steering committee chair of Asia-Pacific Bioinformatics Conference (founder) and international conference on Multimedia Modelling. She is SIG MM Vice-Chair and She has recently been appointed to the ARC College of Experts 2020–2023. She has been on the program committee’s chairs and member of over 100 international conferences.