Prof. Kuan-Chou Chen
Purdue University Northwest, USA
Biography: Kuan-Chou Chen is the Associate Dean for Graduate Program and Research, Thomas M. McDermott Sr. Endowed Chair, Professor in Economic Development, Professor of Management Information Systems. He was the Department Head of Information Systems, Finance, and Business Analytics (2005-2016), as well as Interim Department Head of Department of Graduate Studies in Education (2013-2014) at Purdue University Northwest. He received his Ph.D. from Michigan State University and his MBA from National Cheng-Kung University in Taiwan. He specialized in computer programming, system simulation, project management, decision support systems, data mining, system analysis and design, e-business strategy and application, supply chain management, network design and security, knowledge management, and information economy. Professor Chen has more than 90 scholarly publications, most in peer-reviewed journals. He is an active participant in several professional journals and serves on three paper reviewer boards. Currently he is an Editor-in-Chief of International Journal of e-Education, e-Business, e-Management and e-Learning. His productivity and scholarship have been recognized by his colleagues, being nominated three years in a row for an "Outstanding Scholar Award." He also the recipient of Teacher of the Year Award (Purdue University Northwest, 2005).
Prof. Benny C. F. Cheung
Knowledge Management and Innovation Research Centre, Department of Industrial and Systems Engineering, The Hong Kong Polytechnic University, Hong Kong
Biography: Prof. Benny Cheung is Professor and an Associate Director of the Knowledge Management and Innovation Research Centre (KMIRC) and the Laboratory in Charge of Knowledge Solutions Laboratory in the Department of Industrial and Systems Engineering of The Hong Kong Polytechnic University. Currently, he is an associate member of the International Academy for Production Engineering (CIRP). His research interest in Knowledge and Technology Management includes Artificial Intelligence, Knowledge-based Systems, Knowledge Auditing, Intellectual Capital Management, Intellectual Property Management, Technology Forecasting, Knowledge Mining and Knowledge Systems Technology. Since 2004, he has rapidly built up his own research in knowledge and technology management (KTM), as well as enterprise systems. His research in KTM and enterprise systems encompasses broad-based research of methods and tools built on the basis of Information Processing and Artificial Intelligence Technologies for supporting the management of knowledge and technology for enterprises from various industries such as Manufacturing, Public Utilities, Social Services, etc. Up to present, he has authored and co-authored more than 220 refereed journal papers including more than 140 Science Citation Indexed (SCI)/Social Science Citation Indexed (SSCI) refereed journal papers. Prof. Cheung has received many research prizes and awards such as the 2008 ASAIHL-Scopus Young Scientist Awards-First Runner Up Prize in the category of "Engineering and Technology", and Joseph Whitworth Prize 2010 by the Manufacturing Industrial Division of The Institution of Mechanical Engineers (IMechE), UK in 2011, a Gold medal in the 44th International Exhibition Inventions New Techniques & Products in Geneva, Switzerland in 2016, Winner of the IET Innovation Award for Manufacturing Technology in 2017, etc.
Speech Title: Managing Knowledge for Decision Support Using Computational Organizational Narrative Generation
Abstract: The ability of its knowledge workers to make decisions is one of the most important capabilities for the survival of an organization. To sustain and develop organizational decision making ability, knowledge workers require exposure to problems so that they can learn and gain more experience. However, learning by trial and error could produce incorrect decisions that lead to serious results. In this presentation, a computational organization narrative generation (CNG) is presented which allows the knowledge workers to learn their actions, observe and experience the consequences of their decisions. The CNG approach incorporates the technologies of natural language processing and artificial intelligence to computationally identify narrative gaps in existing narrative sources and proposes narrative fragments to generate new semi-fiction narratives. The performance of the CNG approach is evaluated through a case study which was conducted in a statutory body in the construction industry. The results find that the CNG approach is effective in facilitating new narrative generation from existing narrative sources and to generate synthetic semi-fiction narratives to support and knowledge workers to learn from past lessons. The new narratives generated by the CNG approach help knowledge workers to learn and remember important things and learning points from the narratives. Moreover, the validated narratives are useful for decision support learning purposes.
Prof. Mohsen Razzaghi
Department of Mathematics and Statistics, Mississippi State University, USA
Biography: Prof. Mohsen Razzaghi's area of research centers on orthogonal
functions, optimal control, wavelets, fractional calculus and
their applications in science and engineering. His work is about
numerical approximation using polynomial series and orthogonal
functions, in particular, in the area of "hybrid functions" by
combining piecewise and continuous basis functions. He was the
first to use Legendre wavelets for approximating solutions to
problems in dynamical systems with jump discontinuities.
He has over 160 refereed journal publications in mathematics, mathematical physics, and engineering. Most of his refereed papers are published in prestigious international journals. He was invited to write an article titled, "Walsh Functions" for inclusion in the Encyclopedia of Electrical and Electronics Engineering, published by John Wiley & Sons in 1999. According to Google Scholar, one of his papers coauthored with a Ph.D. student was cited over 475 times.
Assoc. Prof. Eko K. Budiardjo
Faculty of Computer Science, University of Indonesia
Biography: Assoc Prof. Dr. Eko K. Budiardjo has been the faculty member of the Faculty of Computer Science - University of Indonesia since 1985. Teaching, research, and practical services are aligned; give result in a full spectrum of academic achievement. Majoring in Software Engineering as professional track record, he has made some scientific contribution such as Software Requirement Specification (SRS) patterns representation method, R3 Method, ZEF Framework, and FrontCRM Framework. Graduated from Bandung Institute of Technology (ITB) in 1985, holds Master of Science in Computer Science from the University of New Brunswick - Canada in 1991, and awarded Philosophical Doctor in Computer Science from the University of Indonesia in 2007. He is a member of the International Association of Engineers (IAENG); a senior member of the International Association of Computer Science and Information Technology (IACSIT). Currently he is the Head of Reliable Software Engineering (RSE) Lab. Faculty of Computer Science Universitas Indonesia, and Chairman of The Indonesian ICT Profession Society (IPKIN).