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                          學術報告: Multiscale Nature of Large Complex Systems and Implication for Communications and Control
                          時間:2013-10-23 來源:綜合辦 編輯:zhbgs 訪問次數:5890

                          報告題目: Multiscale Nature of Large Complex Systems and Implication for Communications and Control

                          報告人: Professor Guoqiang Mao
                          School of Electrical and Information Engineering, the University of Sydney

                          報告時間:10月31日 星期四 上午9:30
                          報告地點:钱柜游戏工控老樓414會議室

                          報告摘要:The last two decades have witnessed unprecedented growth in telecommunications. This development in telecommunications opens doors to many sophisticated complex systems, e.g. intelligent transport systems (ITS), smart grids and social networks, that previously were not feasible. With the deeper penetration of telecommunications technology into these systems, people have come to realize that, instead of treating the communication network and the complex system served by the communication network as two separate entities with one demanding communication services from the other, a seamlessly integrated system can lead to an even greater benefit and in many cases is a perquisite for both systems to perform satisfactorily. With few exceptions, existing communication networks have not been designed to integrate with the complex systems and these complex systems are merely treated as consumers of communication networks posing some specific bandwidth and delay requirements.
                          Observe that many complex systems exhibit dynamics and statistical patterns and pose a variety of communication requirements that can naturally be separated into multiple spatial and temporal scales. Further, while these systems appear to be almost random/unpredictable at the microscopic scale, they may exhibit quite stable/predictable and regular patterns at the macroscopic scale. In this talk we present a multiscale framework for communication network design to cater for the intricate demands of complex systems, and to integrate with and exploit the characteristics and multiscale dynamics of these systems.

                          報告人簡介:Guoqiang Mao received PhD in telecommunications engineering in 2002 from Edith Cowan University, Australia. He joined the School of Electrical and Information Engineering, the University of Sydney in December 2002 where he is an Associate Professor now. He has published more than 100 papers in top international conferences and journals, which have been cited more than 2000 times (Google Scholar). His research interest includes intelligent transport systems, applied graph theory and its applications in networking, wireless multihop networks, wireless localization techniques and network performance analysis. He is a Senior Member of IEEE, an Editor of IEEE Transactions on Vehicular Technology and a co-chair of IEEE Intelligent Transport Systems Society Technical Committee on Communication Networks. He has served as a chair and a technical committee member in a large number of international conferences.