Keynotes

Tharam S. Dillon
BE, PhD (Monash), FIEEE, FIE (Aust), FACS

Title         : Service Oriented, Grid, and Cloud Computing

Abstract    : Cloud Computing has recently started to generate a great deal of interest as the next generation paradigm for IT. This talk first traces the relationship between Service Oriented Computing (SOC), Grid Computing (GC) and Cloud Computing (CC). It explains the main features of Cloud Computing, its strengths and its shortcomings. It identifies potential vulnerabilities for enterprises moving to Cloud Computing. It identifies key features for problems that are suitable for Cloud Computing and those that are not. It concludes with a discussion of open research issues in the field.

Biography

Professor Tharam S. Dillon is internationally recognised for his research on Semantic Web, Web services, knowledge discovery, data mining, neural networks, intelligent systems, object-oriented systems, communications, real time systems, fault tolerant systems, and distributed protocol engineering. He is Chair of the IFIP International Task Force WG2.12/124 on Semantic Web and Web Semantics, and the IEEE/IES Technical Committee on Industrial Informatics.

He has published 12 books, 700 research papers as book chapters, in journals, and in international conferences. His research has a Hurst index of 29 and over 3500 citations (source: Google Scholar). Some of the authored and edited books include:

  • An Integrated Ontology Multiagent Development Methodology Springer-Verlag 2009
  • Harnessing the Service Roundtrip Over the Internet Support Time-Critical Applications: Concept, Techniques and Cases, Nova Science Publishers Inc., 2008
  • Advances in Web semantics I, Springer-Verlag, 2008
  • Intelligent Multi-Agent Systems, Springer-Verlag, 2008
  • Trust and Reputation for Service Oriented Environments, John Wiley & Sons, 2005
  • E-commerce Principles and Practice, John Wiley and Sons, 2001
  • Soft Computing in Case Based Reasoning (Edited), Springer-Verlag, 2000
  • Automated Knowledge Acquisition, Prentice-Hall, 1994
  • Object Oriented Conceptual Modelling, Prentice Hall, 1993

Professor Dillon is an expert in Web Service Architecture, Web Semantic, Ontologies, XML Modeling, Modeling the Reliability of Computer Systems, Object Component based Conceptual Modeling and Design, Knowledge Discovery and Trust in Service Oriented Environments as well as Validation of complex state based systems including protocols using high level Petri nets.  He has also been active in the field of XML based systems for over the last 9 years.  He has recently given keynote speeches at major IEEE and IFIP conferences on (1) Reference Architecture for Web Services and (2) Semantic Grid Services (3) Biomedical Ontologies (4) Ontologies for Software Engineering  (5) Mining Substructures in Proteins. Professor Dillon has a strong track record of working on ontologies and web semantics. His previous work in Real Time Systems, Semantics and the Web includes Sub Ontologies, Integrated Multiagent Ontology Development Methodology, Real Time XML Profile, Ontology Description Language, Object Oriented Conceptual Modelling, Modelling the Dynamics using Coloured Petri nets, SE methodology for Developing Composite Web Services and SOA architectures. He has also developed important algorithms for data mining of complex structures including tree structured data and sequence data. He has also proposed the use of Web 2.0 and social networking in conjunction with ontologies, web services and agents. Sensor network applications he is involved in include vehicular traffic management, intelligent airport, power system monitoring, remote oil platform monitoring and control and intelligent and adaptive manufacturing.
Professor Dillon’s research has made significant contributions to a number of application areas including bioinformatics, logistics, banking and finance, electrical power systems, telecommunication and management.

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Dr. Vasile Palade
Oxford University, Computing Laboratory, United Kingdom

Title : Ensembles of Classifiers and Their Application to Bioinformatics Problems

Abstract : Machine Learning has become a very popular approach in addressing problems in the Computational Biology and Bioinformatics area.  In addition, multi-classifier systems have also gained popularity among researchers working in machine learning and applications for their ability to fuse together multiple models and obtain better accuracy and classification results. This talk is concerned with current issues in the design of multi-classifier systems and presents some multi-classifier developments for several bioinformatics problems. The talk will first present an overview and current status of machine learning methods in bioinformatics and computational biology.  The talk will then bring in some important issues in building ensembles of classifiers, with a focus on the diversity and combination of the outputs of individual classifiers. Few diversification and combination schemes are presented along with guidelines for the selection of different training paradigms and performance metrics, based on the properties and distribution of the data. Then, the presentation will proceed with introducing our computational intelligence based multi-classifier developments for solving several bioinformatics problems, such as recognizing sequences in strings of DNA, micro-array gene expression data analysis, protein structure prediction. The presented approaches and results will advocate that ensembles of classifiers can be used as effective modelling tools in solving challenging bioinformatics problems.

Biography

Dr. Vasile Palade is working with the Computing Laboratory, Oxford University, United Kingdom. His main research interests lie in the area of computational intelligence and encompass hybrid intelligent systems, neural networks, fuzzy and neuro-fuzzy systems, various nature inspired algorithms including genetic algorithms and swarm optimization, ensembles of classifiers. Application areas include fault diagnosis, Bioinformatics problems, web usage mining, process modelling and control, among others.

     Before joining the University of Oxford, Dr. Palade worked as a research associate with the Department of Engineering, University of Hull, UK, and as Associate and Full Professor of the Department of Computer Science and Engineering, University of Galati, Romania.

    Dr. Palade is author and co-author of more than 80 papers in journals and conference proceedings and several books on computational intelligence and applications. He has also edited a few books and conference proceedings. He currently serves as Co-Editor-in-chief for the International Journal of Hybrid Intelligent Systems, and as Associate Editor for other journals including Neurocomputing and the International Journal on Artificial Intelligence Tools. He was the General Chair for KES2003 – The 7th International Conference on Knowledge Based Intelligent Engineering Systems, Oxford - UK, September 2003, and Co-chair for ICMLA 2009 – The 8th International Conference on Machine Learning and Applications, Miami – USA, December 2009. Dr. Vasile Palade is an IEEE Senior Member, and a member of the IEEE Computational Intelligence Society.