Invited Talks

   Role of Distributed Intelligence in Multi Mobile Robotic Platforms and Application Paradigm

Dr. Habib F. Rashvand,
University of Warwick,
United Kingdom
Dr. Habib F. Rashvand, CEng, LIEEE following his distinguished engineering BE and Postgrad Diploma qualifications from the University of Tehran in 1970 and 1971. Then, selected for training to head a major research and development operation visited Japan for representing the University and Iranian PTT in a two-years association with NTT, KTT and other Japanese Industries, headed an international project for building the Telecom Research Centre (ITRC) as a distinct national resources of the country. His Doctorate of Philosophy from the University of Kent in 1980 shows his appetite for his contributions to the new world of data communications with his industrial presence in high-speed modems in the 1980s and in the 1990s in mobile and wireless technologies until his professorship on ‘Networks, Systems & Protocols’ granted in 2001 by the German Ministry of Education.
His rich blend of 30 continuous years of industrial and academic research and development involving industries including Racal, Vodafone, Nokia and Cable & Wireless at various senior positions worked and collaborated with a wide range of academies including University of Tehran, University of Zambia, Portsmouth University, Southampton University, Coventry University, Open University and Magdeburg German Universities. He has direct consultation Experience of Editor-in-Chief(s) and Guest Editor(s) for IEE, IET, and IEEE for Editorial Issues and Research Journals over 15 years. He has presented many prestigious keynotes and invited guest speaker, and has managed well over 100 projects, three books and well over 100 research papers and Book Chapters.
Since 2004, seeking for innovative ICT solutions paradigm for the humanity in association with University of Warwick, heading a special operation as the Director of Advanced Communication Systems involving various global academics, industries and professional institutions, to help to build a sustainable future global village.

Abstract of Dr. Rashvand's Invited Talk

With the integration of multidisciplinary technologies of wireless communications, smart sensors and precise actuators under advancing statistical information fusion, we envisage the emergence of a new multi mobile robotic system (MMRS) paradigm to prompt a new family of superior applications.  In order to achieve this challenging goal we need to move away from the existing traditional approach towards an improved ‘intelligent robotic industry’ for which we require superior autonomous robots equipped with a well-defined degree of intelligence to manipulate collective information to manage their own local tasks as well as joining in with all agreed cooperative scenario-based objectives. Following a brief introduction to distributed intelligence, this keynote redefines ‘robotic intelligence’ and expands on ‘distributed intelligent robotic systems’ (DIRS), addressing their impact on the usefulness of MMRS applications and their influence in the future of the global, industrialised economy. For MMRS industrial performance we address some innovative deployment approaches where the benefits of platform technology are discussed for flexibility and performance. Comparing different approaches we examine the most desirable required platforms optimised for design, manufacturing, service and operational performance. We also look into the key technologies enabling the promised MMRS application paradigm. In some detail we examine some of the recent development programs to analyse and highlight sustainable intelligent development platforms and classify them for their degree of intelligence and their suitability for short and long term application scenarios. At the intelligence adoption level, we discus the way DIRS can be integrated to identify five levels of robot autonomy and self-management, cluster level for local cooperative objectives, scenario-based cooperative objectives, overlay system management and industrial management of technology (mot).

Computer Heuritics in Action Live knowledge in knolwedge service platform

Dr. Byeong Ho Kang,
Associate Professor,
University of Tasmania,
Dr. Byeong Ho Kang, a computer scientist, is the Associate Professor of Computing and Information Systems, University of Tasmania, Australia. Over his 25 year career, he received his Ph.D from the University of New South Wales, Sydney, in 1996, and has worked as a visiting researcher in the Advanced Research Lab. HITACHI, Japan. He has also worked in research and development projects with industries and research organizations, the Smart Internet Collaborative Research Centre, the US Air Force, Hyundai Steel, AutoEver Systems, LG-EDS, IPMS Technology and Asian Office of Aerospace Research Department, US in Japan. His research includes basic knowledge acquisition methods and many applied researches in internet systems as well as medical expert systems. He has been involved in the development of several commercial internet based applications, AI products, expert system development tools, intelligent help desk systems, Web based information monitoring and classification systems, etc. He has been involved in the foundation of several spinning companies. He has served as a Chair and Steering Committee member of, Pacific Rim International Conference in Artificial Intelligence, Pacific Knowledge Acquisition Research Community, Australian AI community and many other conferences and communities. He has published more than 150 papers in journals and international conferences, editor of several books of proceedings, and guest editor for special issues of journals. He has participated in many conference organization committees, and he has been a chair of Australian AI Conference in 2006 and KM & Acquisition for Intelligent Systems (PKAW) in 2014, 2010, 2006. He is steering committee member of Pacific Rim International Conference on AI and Austrian AI conference. He is currently served as Vice President of Korean Academy of Scientists and Engineers in Australia.

Abstract of Dr. Kang's Invited Talk

The knowledge service platform is considered as one of key technologies in moving toward knowledge society from information society. In this talk, he will focus on issues in the nature of knowledge as the target resources of this platform. There are two different types of knowledge, ‘by description’ and ‘by acquaintance’. He will call the former as knowledge information’ and the latter as ‘live knowledge’. ‘Live knowledge’ is found from domain experts when they solve a problem or make a decision for a specific situation. ‘knowledge information’ is usually generated by human experts who has ‘live knowledge’ when they are asked to explain how they solve problems.
‘Knowledge’ in most knowledge service platforms is ‘knowledge information’ and some systems have a human network function like ‘Q&A’ to share ‘live knowledge’. The research and development for knowledge service platforms have focused on managing ‘knowledge information’ since the introduction of knowledge management systems later 1990s and people do not realize yet that this is a major cause of failures in most KMS systems in industries. In knowledge society, without the solution for ‘live knowledge’, the knowledge service systems only can provide ‘knowledge information’ and the future of knowledge service systems is not very bright.
In this talk, he will review some of AI technologies and their strength and weakness to be used as a tool for ‘live knowledge’ for knowledge service platforms. Also he will review the relationship between two different types of knowledge and how they should be balanced.