1.James M.Tien, Professor, Past President of IEEE SMC, IEEE Fellow, Academician of America National Academy of Engineering, Dean of College of Engineering at the University of Miami, USA
2.C. L. Philip Chen, Professor, Past President of IEEE SMC, IEEE Fellow, AAAS Fellow, Dean of the Faculty of Science and Technology at the University of Macau, China
3.Abby Ghobadian, Professor, Head of Organizations and Behaviors, Henley Business School, University of Reading, UK
4.Jifa Gu, Professor, Academy of Mathematics and Systems Sciences, Chinese Academy of Sciences, Academician and Vice President of International Academy of System and Cybernetics, Academician of Euro-Asia Academy of Sciences, China
5.Martin Dresner, Professor, Chair of the Logistics, Business and Public Policy Department, R.H. Smith School of Business, University of Maryland, USA
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James M. Tien,
PhD, DEng (h.c.), NAE
Email: jmtien@miami.edu
Distinguished Professor and Dean, College of Engineering
University of Miami, Coral Gables, Florida
Bio. In 2007, Dr. James M. Tien became a Distinguished Professor and the Dean of the College of Engineering at the University of Miami, Coral Gables, Florida. He received the BEE from Rensselaer Polytechnic Institute (RPI) and the SM, EE and PhD from the Massachusetts Institute of Technology (MIT). He has held leadership positions at Bell Telephone Laboratories, at the Rand Corporation, and at Structured Decisions Corporation (which he co-founded). He joined the Department of Electrical, Computer and Systems Engineering at RPI in 1977, became Acting Chair of the department, joined a unique interdisciplinary Department of Decision Sciences and Engineering Systems as its founding Chair, and twice served as the Acting Dean of Engineering. Dr. Tien has published extensively, been invited to present dozens of plenary lectures, and been honored with both teaching and research awards, including being elected a Fellow in IEEE, INFORMS and AAAS and being a recipient of the IEEE Joseph G. Wohl Outstanding Career Award, the IEEE Major Educational Innovation Award, the IEEE Norbert Wiener Award, the IEEE Richard M. Emberson Award, and the IBM Faculty Award. He received a Doctor of Engineering (honoris causa) from Canada’s University of Waterloo and is also an Honorary Professor at over a dozen non-U.S. universities. Dr. Tien is an elected member of the prestigious U. S. National Academy of Engineering.
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C. L. Philip Chen
Professor, Dean
Jr. Past President of IEEE SMC, IEEE Fellow, AAAS Fellow
University of Macau, Macau, China
CC. L. Philip Chen (S’88–M’88–SM’94–F’07) received the M.S. degree in electrical engineering from the University of Michigan, Ann Arbor, in 1985 and the Ph.D. degree in electrical engineering from Purdue University, West Lafayette, IN, in 1988.
After having worked at U.S. for 23 years as a tenured professor, as a department head and associate dean in two different universities, he is currently the Dean of the Faculty of Science and Technology, University of Macau, Macau, China and a Chair Professor of the Department of Computer and Information Science.
Dr. Chen is a Fellow of the IEEE and the AAAS. He has been the President of IEEE Systems, Man, and Cybernetics Society (2012-2013). Currently, he is the Editor-in-Chief of IEEE Transactions on Systems, Man, and Cybernetics: Systems (2014-) and associate editors of IEEE Access and several IEEE Transactions. He is also the Chair of TC 9.1 Economic and Business Systems of IFAC. His research areas are systems, cybernetics, and computational intelligence. He is also an executive committee member of Chinese Association of Automation, Fellow of CAA and Associate EIC of CAA Communications, a Fellow of Hong Kong Institute of Engineer. A Program Evaluator of ABET (Accreditation Board of Engineering and Technology) in Electrical Engineering, Comp Eng, and Software Engineering.
Title:
Deep learning applications in traffic and transportation
Abstract:
The talk is to discuss recent interesting subject in deep learning technique and its application in traffic flow prediction. Deep learning is a machine learning algorithm that attempt to learn in multiple levels, corresponding to different levels of abstraction. Alternatively, the main advantage of deep learning is about learning multiple levels of representation and abstraction. It is typically used to abstract useful information from data. The levels in these learned statistical models correspond to distinct levels of concepts, where higher-level concepts are defined from lower-level ones, and the same lower level concepts can help to define many higher-level concepts. The concepts can be applied in prediction and decision making in different areas.
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Abby Ghobadian
Professor
Email: abby.ghobadian@henley.ac.uk
Professor, head of Organizations and Behaviors (LOB)
at Henley Business School, University of Reading, UK
Abby Ghobadian is professor of organisational performance and head of Leadership, Organisations and Behaviour (LOB) at Henley Business School. He joined Henley in January 2007 and became academic dean in June 2007. Following the merger between Reading and Henley, Abby returned to his faculty position. He became head of LOB on 1 August 2011. Prior to joining Henley, Abby was professor of management with responsibility for executive programmes at Brunel University Business School. He joined Brunel from Middlesex Business School where he was professor of operations and manufacturing strategy and served as departmental head, director of postgraduate programmes and director of research. Abby is the co-editor of the Journal of Strategy and Management. He serves on the editorial board of journals in the UK, USA and Hungary. Abby is vice-president of the British Academy of Management (BAM) and chairs its research and development committee and its publication sub-committee. He serves on the Chartered Management Institute’s academic advisory council, the Department of Business, Innovation and Skills’ business school task force, and the Association of Business Schools’ (ABS) research committee. Previously he served on the ABS’s executive committee and chaired its research committee. Abby is a member of the Economic and Social Research Council’s peer review college. He was awarded an honorary doctorate by the University of Pecs, Hungary in 2004. Abby was elected a fellow of BAM in 2008 and an academician of the Academy of Social Sciences in 2010.
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Jifa Gu
Professor
Email: jfgu@amss.ac.cn
Academy of Mathematics and Systems Sciences,Chinese
Academy of Sciences, Academician and Vice President of
International Academy of System and Cybernetics,
Academician of Euro-Asia Academy of Sciences, China
Jifa GU, Professor ,Academy of Mathematics and Systems Sciences, Chinese Academy of Sciences, Bachelor, Peking University, PhD, Institute of Mathematics, USSR Academy of Sciences, working in the fields of Operations Research and Systems Engineering. He published more than 30 books and 200 journal papers. He participated in practices on missile, energy, environment, water resource, regional strategy and various projects on evaluation. 1995 with Dr. Zhu ZC proposed Wuli-Shili-Renli system approach and got applications in many practical cases. In recent ten years he has engaged in the study and application of Meta-synthesis system approach and Knowledge Science He has participated in several national research programs related to social issues, digging experiences from TCM veteran doctors and study on the collective behaviors in Shanghai World Expo. He had been President of Systems Engineering Society of China, President of International Federation of System Research. Now he is academician and vice president of International Academy of System and Cybernetics, academician of Euro-Asia Academy of Sciences.
Title:
Systemic view on service management in Shanghai World Expo
Abstract:
Shanghai World Expo had run in Shanghai during May 1 to October 31, 2010. The number of total visitors amounts to 72 millions, occupies the first place till now within all World Expo. The queuing problem also occupies important place, for some pavilion its queuing length was more than 6 thousands visitors and the longest waiting time was more than 10 hours. We will introduce our research on the service management from systemic view. We not only care the general queuing phenomena in the physical aspect, but also the psychological aspect in visitors and volunteers. Finally we wish study the systemic problem in the more large scale systems, including visitors, pavilions from various participated countries and organizers from State and Shanghai municipality, and lastly the wide netizens on the web, who care the activities related to world expo in all aspects. We use some concepts and methods in the complex system, such as self-similarity, self-organization, and also some concepts and theory from management science. This research is supported by 973 Research program “Studies on the perception and law of social collective behaviors under the hybrid information network” sponsored by Ministry of Science and Technology of China. Some of our colleagues in this program also develop several advanced Information techniques for sensing the perception of the collective behavior happened in whole process in Expo.
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Martin Dresner
Professor
Email: mdresner@rhsmith.umd.edu
Professor and Chair of the Logistics, Business and Public
Policy Department,
R.H. Smith School of Business at the University of Maryland
Martin Dresner has served on the faculty of the R.H. Smith School of Business at the University of Maryland since 1988, where he is currently Professor and Chair of the Logistics, Business and Public Policy Department. He received his Ph.D. in Policy Analysis from the Sauder School of Business at the University of British Columbia. Dresner’s research focuses on two broad areas, air transport policy and logistics management. He has published over 75 papers in refereed journals. Professionally, he is President of the Air Transport Research Society (ATRS), an academic organization devoted to research in the aviation industry. In addition, Dresner is on the Scientific and Steering Committees of the World Conference on Transportation Research. Dresner is immediate past editor of Research in Transportation Economics and a former editor of Transportation Journal. He sits on the editorial boards of several journals in the transportation, logistics and supply chain fields. Dresner is a former president of the Transportation and Public Utilities Group (TPUG) of the Allied Social Sciences Association, and of the Transportation Research Forum (TRF). He has testified before the U.S. House Aviation Subcommittee, and has worked on consulting projects for a number of organizations, including the Maryland Aviation Administration, the Federal Aviation Administration and the U.S. Department of Energy.
Title:
Logistics Challenges in the Global Economy
Abstract:
The increase in global trade, along with the distribution and integration of production around the world, has resulted in a number of logistics challenges. These challenges include minimizing and recovering from supply chain disruptions, maintaining the security of supply chains, managing outsourcing firms, minimizing system-wide logistics costs, and maintaining or increasing logistics service levels. The focus of this talk will be on recent academic research that outlines the nature of these logistics concerns and the potential methods to alleviate these problems.
