Prof. Benny C. F. Cheung
Knowledge Management and Innovation Research Centre, Department of Industrial and Systems Engineering, The Hong Kong Polytechnic University, Hong Kong
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", a Gold Medal in the 36th International Exhibition Inventions New Techniques & Products in Geneva in 2008 and Joseph Whitworth Prize 2010 by the Manufacturing Industrial Division of The Institution of Mechanical Engineers (IMechE), UK in 2011, etc.
Speech Title: Knowledge Management for Human Services
Abstract: Knowledge management (KM) has received a lot of research attention in human service organizations such as social service organizations, education, health services, etc. The use of information and communication technology (ICT) for KM in human service organizations has become more widespread and aims at improving service efficiency and effectiveness. The two major approaches in KM practice in human service organizations include technical-oriented and people-oriented approaches. The technical-oriented KM approach emphasizes the roles of computer systems and networks, which help the capturing, processing, and dissemination of organizational knowledge, such as document archives and organizational databases. It codifies people's tacit knowledge as far as possible. On the other hand, people-oriented KM aims to promote people-to-people knowledge sharing while technologies are usually used as complementary mechanisms. In this presentation, the speaker attempts to discuss the mainstream conceptions of KM and an integrated KM model to bridge both approaches for managing knowledge in human service organizations in different industries such as social service organizations, healthcare services, the construction industry, etc. The results provide some implications for further development of knowledge management systems for human services.
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: Environmental Management and Mathematical Modeling
Abstract: After several decades of rapid technological
advancement and economic growth, levels of pollution and
environmental degradation are rising all over the world.
Research and development in emissions reduction and an efficient
mathematical modeling offer the best promise to assist the
development of an effective means to halt the accelerating trend
of environmental deterioration. Applications of mathematical
research methodologies such as optimization techniques and
control theory are crucial to the development of environmental
management. Orthogonal functions often used to represent an
arbitrary time function have been used to solve various problems
in optimization techniques. Orthogonal functions may be widely
classified into three families. The first includes sets of
piecewise constant basis functions (PCBFs) (e.g., block-pulse,
Walsh, etc.), the second consists of sets of orthogonal
polynomials (e.g., Chebyshev, Legendre, etc.), and the third are
widely used sets of sine-cosine functions in the Fourier series.
While orthogonal polynomials and sine-cosine functions together
form a class of continuous basis functions, PCBFs have
discontinuities or jumps. 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 PCBFs alone can
accurately model these spatially varying properties.
In this talk, we present a new approach to the problems in environmental modeling. Our approach is based upon hybrid functions, which are combinations of piecewise and continuous basis functions. Numerical examples are included to demonstrate the applicability and the accuracy of the proposed method.
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).
Speech Title: Knowledge Acquisition in Reverse Engineering within R3ST Software Maintenance Environment
Abstract: In software engineering body of knowledge states that reverse engineering is one of the software maintenance techniques. The obstacle founded in reverse engineering is the knowledge acquisition of the software object being observed. One has to have domain knowledge as the foundation, prior to the object specific knowledge acquisition. By applying the Requirements Recovery and Reconstruction (R3) method, we are able to explore the end-to-end of actor system interaction, and construct ontology of an object union to its domain ontology. The first step in exploring is identifying the application WIMP (Window Icon Menu Pointer) interface as the point of exploration. Navigating from those points, we can record the end-to-end interaction. In the R3 method based Software Tools (R3ST), domain and specific knowledge of the object is expressed in ontology by means the OWL Protege. By applying the method and tools we are able to construct majority of software requirements specification. R3ST also equipped with template based requirements document generator. This speech will explain the ontology model and the acquisition technique for constructed the reverse engineering.