Prof. Benny C. F. Cheung
Knowledge Management and Innovation Research Centre, Department of Industrial and Systems Engineering, The Hong Kong Polytechnic University, Hong Kong
Ir Prof. Benny C.F.
Cheung is a Professor at the Department of Industrial and
Systems Engineering (ISE) of The Hong Kong Polytechnic
University. He obtained his Bachelor of Engineering (Hons)
Degree in Manufacturing Engineering with First Class Honours
from the Hong Kong Polytechnic (now The Hong Kong Polytechnic
University) in 1993. After graduation, he joined ASM Assembly
Automation Ltd. as a Teaching Company Associate and later as a
Mechanical Engineer from 1993 to 1995. He obtained his Master of
Philosophy (MPhil) degree from The Hong Kong Polytechnic
University in 1996 and started his career in Precision
Engineering as a Technology Development Officer in ISE from 1996
to 1998. In 2000, he obtained his Doctor of Philosophy (PhD)
degree from The Hong Kong Polytechnic University and then he
started his academic career as a Lecturer in ISE. He was then
promoted to Assistant Professorship in 2001, Associate
Professorship in 2004, and Professorship in 2012. Prof. Cheung
is a Chartered Engineer (CEng), a member of The Hong Kong
Institution of Engineers (MHKIE), The Institution of Engineering
and Technology (MIET), The Institute of Electrical and
Electronics Engineers (MIEEE), and American Society of
Mechanical Engineers (MASME). He is also an associate member of
the International Academy for Production Engineering (CIRP).
His main teaching and research interests include Precision Engineering, Knowledge and Technology Management, as well as Enterprise Systems. In 1996, he started his pioneering research over a wide spectrum of research areas in precision engineering, encompassing ultra-precision machining and precision surface metrology. 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 a 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 Utility, Social Service, etc.
Currently, he holds various honorary positions in other universities and professional bodies including Distinguished Professorship of Guangdong University of Technology, Adjunct Professorship of Changchun University of Science and Technology, Board Membership of the Asian Society for Precision Engineering and Nanotechnology (ASPEN), etc. On the other hand, he has held various academic administrative positions in PolyU. Currently, he is an Associate Head of the Partner State Key Laboratory of Ultra-precision Machining Technology (PKSL of UMT), an Associate Director of the Advanced Optics Manufacturing Centre (AOMC) and Knowledge Management and Innovation Research Centre, as well as the Laboratory-in-charge of the Knowledge Solutions Laboratory (KSL) in ISE. He is the programme leader of the Master of Science in Technology Management (MSc in TM) programme and the Deputy Chairman of the Programme Committee for the Double Degree Programme in Business Administration and Engineering in the Faculty of Engineering.
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
Eko K. Budiardjo received his bachelor in electrical engineering from Bandung Institute of Technology, Bandung, in Indonesia, a master in Computer Science from University of New Brunswick, in Canada and a doctor in computer science from University of Indonesia, Depok, in Indonesia. Dr. Eko K. Budiardjo is a member of the International Association of Engineers (IAENG); a senior member of the International Association of Computer Science and Information Technology (IACSIT); the vice chairman of ICT Technical Committee of The National Research Council (DRN) Republic of Indonesia; a chairman of the Indonesian ICT Profession Society (IPKIN).His research interests Software Engineering, Requirements Engineering, Customer Relationship Management (CRM), Technopreneurship.