Keynote Speakers

Tharam S. Dillon

BE, PhD (Monash), FIEEE, FIE (Aust), FACS

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, 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, 650 research papers as book chapters, in journals, and in international conferences. His research has received over 3000 citations with a Hurst index of 25 (source: Google Scholar). Some of the authored  and edited books include:

  • * An Integrated Ontology Multiagent Development Method 0logy  S[ringer-Verlag2009
  • * 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, Semantic Grid, 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 Protein Professor Dillon has a strong track record of working on ontologies and  web semantics. His previous work in Software Engineering includes Object Oriented Conceptual Modelling, Modelling the Dynamics of Software 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.

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.

Title: Integrated Ontology, Agent, Social Network Systems to Support Global Software Development

Authors: T.S. Dillon, P. Wongthongtham, E. Chang, I. Sommerville

Abstract: Tackling the disadvantages associated with remote communication is a challenge in global software engineering. If everyone is located in the same area, then situational awareness is relatively straightforward. However for distributed international development, the overheads in communications are very high. Consequently, these problems cause developmental delays and software problems as outstanding issues are not resolved and issues cannot be discussed immediately or in time, over a distributed team environment. To help address this, we have developed Software Engineering Ontology (SE Ontology). The SE Ontology defines common shareable software engineering knowledge. When this generic ontology is specialized to a particular project and populated with instances which reflect the project information it provides this common understanding of project information to all the distributed members of a global software development team. However, the nature of many existing ontologies including the SE Ontology is passive. We then propose active support through a software agent situated in the foreground of the ontology that interact and mediate between the ontology and human agents. Additionally, the knowledge encoded in an ontology is not static but should evolve, albeit much more slowly than changes in project information. We propose to use a social network for the SE Ontology evolution.
 

Qiang Shen

Professor Qiang Shen holds the established Chair in Computer Science and is Director of Research with the Department of Computer Science at Aberystwyth University, UK. He is also an Honorary Fellow at the University of Edinburgh, UK. Professor Shen's research interests include: computational intelligence, fuzzy and qualitative modelling, reasoning under uncertainty, pattern recognition, data mining, and real-world applications of these techniques for decision support (e.g. crime detection, consumer profiling, systems monitoring and medical diagnosis). He has a total of 27 years of working experience in these areas. Professor Shen is currently an Associate Editor of two premier IEEE Transactions (IEEE Transactions on Systems, Man and Cybernetics; IEEE Transactions on Fuzzy Systems). He is also an editorial board member of several other leading international journals. Professor Shen was the General Chair of the 16th IEEE International Conference on Fuzzy Systems (FUZZ-IEEE), held in London, 2007. Also he has chaired and given keynote lectures at many other international conferences. Professor Shen has authored 2 research monographs, and over 230 peer-reviewed papers (a third of which appeared in world-class journals), including one which received an Outstanding Transactions Paper Award from IEEE. He has successfully supervised over 30 PDRAs and PhDs, including a prestigious British Computer Society Distinguished Dissertation Award winner.

Title: Intelligent Systems for Intelligence Data Analysis

Abstract: Failures in the detection of serious crime, including terrorist activity are not necessarily due to insufficient data, but rather to difficulties in interpreting the available intelligence. Automated software systems that model and analyse intelligence data will provide useful means for the assessment of emerging scenarios for plausible crimes. This offers assistance in rapidly responding to the need of devising and deploying preventive measures. This talk will describe the important challenges which arise in this area, and which offer great opportunities for the development of intelligent software systems. It will focus on some recent advances in computational intelligence in general, and in fuzzy systems in particular. These advances contribute to the accomplishment of those tasks essential for intelligence data monitoring (amongst other applications). The talk will
conclude by identifying some significant potential future developments.