Plenary Lecture

Prediction Models for Analysis and Classification of Modern Biological Data

Associate Professor Tuan Pham
Bioinformatics Applications Research Centre
School of Information Technology
James Cook University
Townsville, QLD 4811
AUSTRALIA
tuan.pham@jcu.edu.au

Abstract: Recent advances in modern biotechnology offer interesting and challenging problems to computational scientists with respect to the handling and interpretation of complex biological data. Solutions to these problems are anticipated to revolutionize our way of living in the sense that human fatal diseases can be early detected and diagnosed for proper treatments, new therapeutic drugs be discovered and personalized medicine be developed. This talk will address several novel computational strategies for the analysis and classification of such biological data including molecular imaging, microarray gene expression data, and mass spectrometry data. It will highlight the importance of the incorporation of the skills and knowledge gained from biology, medicine, engineering, computer science, and information technology: Opportunities and challenges in the next few decades in computational life sciences are predicted to be in the interdisciplinary synergy of the knowledge gained from molecular biology, chemistry, physics, engineering, mathematics, computer science, information technology, and nanotechnology in order to understand the complexity of living organisms and to discover novel diagnostic and therapeutic treatments.

Brief Biography of the Speaker:
Tuan D. Pham is an Associate Professor in the School of Mathematics, Physics, and Information Technology; and Director of the Bioinformatics Applications Research Centre at James Cook University. His research experience and interests are diverse which cover image processing, pattern recognition, signal processing, geostatistics, computational intelligence, bioinformatics, and biomedical informatics. He has contributed pioneering research work on fuzzy finite element analysis of engineering problems; and applications of computational prediction models for disease classification using bioimaging, microarray gene-expression and mass-spectrometry data.
Dr. Pham has published two research books, more than 150 papers in edited books, peer-reviewed journals and conference proceedings. He has served as member of Editorial Board of Pattern Recognition, Bioinformatics and Biomedical Imaging Book Series, Editor-in-Chief of WSEAS Transactions on Biology and Biomedicine, international technical committees of numerous international conferences, and regular reviewer of many high-quality journals in the areas of pattern recognition, machine learning, bioimaging, bioinformatics, neuroscience, biomedical informatics, signal processing, and computational intelligence.