Plenary Lecture

Complexity Analysis of Signals and Images in Biomedicine

Professor Tuan D. Pham
ADFA School of Information Technology and Electrical Engineering
The University of New South Wales
Canberra, ACT 2600, Australia
E-mail: t.pham@adfa.edu.au

Abstract: Measuring the complexity of a pattern expressed either in time or space has been introduced to quantify its information content, which can then be applied for classification. Such information measures are particularly useful for the understanding of systems complexity in many fields of sciences, business and engineering. This talk presents recent work on the concepts of geostatistical entropy and fuzzy fractals as the measures of pattern complexity and similarity in bio-signals, molecular and biomedical images. These measures can be useful tools for extracting temporal signatures of biological and physiological time series data, and quantifying morphological changes in cell and brain images.

Brief Biography of the Speaker:
Tuan D. Pham received his PhD degree in 1995 from the University of New South Wales. His current research interests include image processing, molecular and medical image analysis, pattern recognition, bioinformatics, biomedical informatics, fuzzy-set algorithms, genetic algorithms, neural networks, geostatistics, signal processing, fractals and chaos. His research has been funded by the Australian Research Council, academic institutions, and industry. Dr. Pham is an editorial board member of several journals and book series including Pattern Recognition (Elsevier), Current Bioinformatics (Bentham), Recent Patents on Computer Science (Bentham), Proteomics Insights (open access journal, Libertas Academica Press), Book Series on Bioinformatics and Computational BioImaging (Artech House), invited Regional Editor of International Journal of Computer Aided Engineering and Technology (Inderscience Publishers), and invited Editor-in-Chief of WSEAS Transaction on Biology and Biomedicine. He has been serving as chair and technical committee member of more than 30 international conferences in the fields of image processing, pattern recognition, computational intelligence, and computational life sciences.