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: Scenario-based Roadmapping for Strategic Planning and Innovation Management
Abstract: In the complex and rapidly changing business environment, many organizations are grasping the opportunities of the fast-changing trends in the market and technology, while they are also facing challenges to make a huge amount of decisions in order to increase their competitiveness. Smart organizations not only need to respond to uncertain market and technological changes quickly, but also deal with future change proactively so as to take advantages of the changing environment and new innovations. It is well-known that scenario planning and roadmapping are widely used for managing future techniques at national and industrial levels. Most researchers and practitioners are increasingly drawing attention to the concept of scenario planning in the roadmapping (i.e. scenario-based roadmapping, SBRM) for foresight and future studies at macro and meso levels (i.e. national and industrial levels), but is less used for strategic planning and innovation management at the micro level (i.e. corporate level). In this keynote presentation, the speaker attempts to provide an overview of the organizational challenges in the complex and rapidly changing business environment, evolution and different applications of the Scenario-based Roadmapping (SBRM) approaches first. Some real-life applications are also selected to demonstrate how the SBRM method can help companies to deal with future changes. Some implications for further development of the SBRM method are also discussed.
Prof. Kuan-Chou Chen
Purdue University Calumet, USA
Biography: Kuan-Chou Chen is the Thomas M. McDermott Sr. Endowed Chair, Professor in Economic Development, Professor of Management Information Systems, and Department Head of the Department of Information Systems, Finance, and Business Analytics, as well as Interim Department Head of Department of Graduate Studies in Education (2013-2014) at Purdue University Calumet. 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 Calumet, 2005).
Prof. Mohsen Razzaghi
Department of Mathematics and Statistics, Mississippi State University, USA
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.
Speech Title:Mathematical Modeling and Management for Resources and Environmental Systems
Abstract: Effective management and planning of resources and environmental systems have been of concern in the past few decades. However, achieving a reasonable and efficient management strategy is difficult since many conflicting factors have to be balanced due to complexities of the real-world problems. In resources and environmental systems, there are a number of factors that need to be considered. Mathematical models are recognized as effective tools that could help examine economic, environmental, and ecological impacts of alternative pollution-control, and thus aid planners or decision-makers in formulating cost-effective management policies. For problems in environmental modeling, images often have properties that vary continuously in some regions and discontinuously in others. Thus, in order to properly approximate these spatially varying properties, it is necessary to use approximating functions that can accurately model both continuous and discontinuous phenomena. Therefore, neither continuous basis functions nor piecewise basis functions alone can accurately model these spatially varying properties. In recent years, hybrid functions which are the combinations of continuous and piecewise basis functions have found their way into many different fields of science and engineering. Many researchers started using various hybrid functions for analyzing problems of greater computational complexity and proved hybrid functions to be powerful tools to explore a new direction in solving dynamic systems. In this talk, an introduction to the hybrid functions is given. Then, an efficient method for the mathematical modeling and management for environmental system is presented.
Assoc. Prof. Eko K. Budiardjo
Faculty of Computer Science, University of Indonesia
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).