Keynote Speakers

Dr. Hsiao-Hwa Chen
Dr. Hamid R. Arabnia

Dr. Shusaku Tsumoto







  

Prof. Hsiao-Hwa Chen,
Department of Engineering Science,
National Cheng Kung University, Taiwan

AF or DF, and how to Configure an Optimal Mixed AF-DF Relay System?

In this talk, the upper bound and lower bound of a mixed amplified-forward (AF) and decode-forward (DF) relay system will be evaluated using analytical methods. The performance of such a mixed AF and DF relay system is investigated under non-identical Nagagami-m fading channels for different relay links. In particular, the issues on how to optimize the configuration of such a mixed AF and DF relay system in terms of maximized diversity order will be discussed in this talk. Numerical results will be given to show explicitly how to configure a mixed AF and DF relay system in order to achieve a minimized outage probability under a given channel fading model.

About Dr. Hsiao-Hwa Chen
Hsiao-Hwa Chen (hshwchen@ieee.org) currently is a Distinguished Professor in Department of Engineering Science, National Cheng Kung University, Taiwan, and he was the founding Director of the Institute of Communications Engineering of the National Sun Yat-Sen University, Taiwan. He received BSc and MSc degrees from Zhejiang University, China, and PhD degree from University of Oulu, Finland, in 1982, 1985 and 1990, respectively, all in Electrical Engineering. He has authored or co-authored over 400 technical papers in major international journals and conferences, six books and more than ten book chapters in the areas of communications, including the books titled "Next Generation Wireless Systems and Networks" (512 pages) and "The Next Generation CDMA Technologies" (468 pages), both published by John Wiley and Sons in 2005 and 2007, respectively. He has been an active volunteer for IEEE various technical activities for over 22 years. Currently, he is serving as the Chair for IEEE ComSoc Communications and Information Security Technical Committee. He served as the Chair for IEEE ComSoc Radio Communications Committee from 2007 to 2008. He served or is serving as conferences/symposia/workshops chair/co-chair of many major IEEE conferences, including VTC, ICC, Globecom and WCNC, etc. He served or is serving as Associate Editor or/and Guest Editor of numerous important technical journals. He is serving as the Editor (Asia and Pacific) for Wiley's Wireless Communications and Mobile Computing (WCMC) Journal and Wiley's International Journal of Communication Systems. He is the founding Editor-in-Chief of Wiley' Security and Communication Networks journal (www.interscience.wiley.com/journal/security). He is also an adjunct Professor of Zhejiang University, China, and Shanghai Jiao Tong University, China. Professor Chen is a recipient of the Best Paper Award in IEEE WCNC 2008, and a recipient of IEEE Radio Communications Committee Outstanding Service Award in 2008. He is a Fellow of IEEE, a Fellow of IET and a Fellow of BCS.
  
Prof. Hamid R. Arabnia
University of Georgia, Athens, Georgia, USA
A Bio-Inspired Reconfigurable Communication Topology

Inherent limitations on the computational power of sequential uniprocessor systems have lead to the development of parallel multiprocessor systems. The two major issues in the formulation and design of parallel multiprocessor systems are algorithm design and architecture design. The parallel multiprocessor systems should be so designed so as to facilitate the design and implementation of the efficient parallel algorithms that exploit optimally the capabilities of the system. From an architectural point of view, the system should have low hardware complexity, be capable of being built of components that can be easily replicated, should exhibit desirable cost-performance characteristics, be cost effective and exhibit good scalability in terms of hardware complexity and cost with increasing problem size. In distributed memory multiprocessor systems, the processing elements can be considered to be nodes that are connected together via an interconnection network. In order to facilitate algorithm and architecture design, we require that the interconnection network have a low diameter, the system be symmetric and each node in the system have low degree of connectivity. Further, it is also desirable that the system configuration and behavior be amenable to a suitable and tractable mathematical description. The requirement of network symmetry ensures that each node in the network is identical to any other, thereby greatly reducing the architecture and algorithm design effort. For most symmetric network topologies, however, the requirements of low degree of connectivity for each node and low network diameter are often conflicting. Low network diameter often entails that each node in the network have a high degree of connectivity resulting in a drastic increase in the number of inter-processor connection links. A low degree of connectivity on the other hand, results in a high network diameter which in turn results in high inter-processor communication overhead and reduced efficiency of parallelism. Reconfigurable networks attempt to address this tradeoff. In a reconfigurable network each node has a fixed degree of connectivity irrespective of the network size. The network diameter is restricted by allowing the network to reconfigure itself into different configurations. In general, a reconfigurable system needs to satisfy the following criteria in order to be considered practically viable: (a) In each configuration the nodes in the network should have a fixed degree of active connectivity irrespective of network size, (b) The network diameter should be kept low via the reconfiguration mechanism and (c) The hardware for the reconfiguration mechanism (i.e. switch) should be of reasonable complexity. In this presentation, we discuss our design of a reconfigurable network topology that is targeted at medical applications; however, others have found a number of interesting properties about the network that makes it ideal for applications in computational biology as well as information engineering. We present some results and discuss our ongoing work in this area; time-permitting, we will also present a particular variation to our original reconfigurable network which is nature/biology inspired.

About Hamid R. Arabnia

Hamid R. Arabnia received a Ph.D. degree in Computer Science from the University of Kent (Canterbury, England) in 1987. Arabnia is currently a Full Professor of Computer Science at University of Georgia (Georgia, USA), where he has been since October 1987. His research interests include Parallel and distributed processing techniques and algorithms, interconnection networks, and applications (in particular, in image processing, medical imaging, bioinformatics, and other computational intensive problems). Dr. Arabnia is Editor-in-Chief of The Journal of Supercomputing (one of the oldest journals in Computer Science) published by Springer and is Associate Editor of IEEE Transactions on Information Technology in Biomedicine. He is also on the editorial and advisory boards of over 35 other journals. Dr. Arabnia has received a number of awards, including, The Johns Hopkins University National Search in recognition of his contributions to the national program for enhancing the quality of life for people with disabilities through the application of computing technology (signatories: co-directors of the National Search and President of Johns Hopkins U.) In 2006, he received the Distinguished Service Award in recognition and appreciation of his contributions to the profession of computer science and his assistance and support to students and scholars from all over the world; this award was presented to him on June 26, 2006 by Professor Barry Vercoe (Massachusetts Institute of Technology / MIT). More recently (October 14, 2007), Dr. Arabnia received an "Outstanding Achievement Award in Recognition of His Leadership and Outstanding Research Contributions to the Field of Supercomputing". This award was presented to him at Harvard University Medical School (signatories: Lawrence O. Hall, President of IEEE/SMC; Zhi-Pei Liang, Vice President of IEEE/EMB; Jack. Y. Yang, General Chair of IEEE BIBE and Harvard University; Mary Qu Yang, Chair of Steering Committee, IEEE BIBE and NIH). Dr. Arabnia is an elected Fellow, Int'l Society of Intelligent Biological Medicine (ISIBM) and is on the Advisory Board of IEEE Technical Committee on Scalable Computing (TCSC). He was recently nominated for Outstanding Service award by IEEE Computer Society Technical Committee on Parallel Processing (TCPP); Prof. Albert Zomaya won the award. Dr. Arabnia has published extensively in journals and refereed conference proceedings. He has over 300 publications (journals, proceedings, editorship) in his area of research. He has been a PI/Co-PI on $7,139,525 externally funded projects/initiatives and on $103,453 internally funded projects (correct as of January 2009). He has also contributed projects for justification for equipment purchase (grant proposals worth over $4 Million - awarded). During his tenure as Graduate Coordinator/Director of Computer Science (August 2002 - January 2009), Dr. Arabnia secured the largest level of funding in the history of the department for supporting the research and education of graduate students (PhD, MS). Dr. Arabnia has delivered numerous number of keynote lectures at international conferences; most recently at (since September 2008): The 14th IEEE International Conference on Parallel and Distributed Systems (ICPADS'08, Australia); International Conference on Future Generation Communication and Networking (FGCN 2008 / IEEE CS, Sanya); The 10th IEEE International Conference on High Performance Computing and Communications (HPCC-08, Dalian), ... He has also delivered a number of "distinguished lectures" at various universities.

Prof. Shusaku Tsumoto
Department of Medical Informatics, School of Medicine,
Faculty of Medicine, Shimane University, Japan
Capturing Behavior of Medical Staff: A Similarity-Oriented Temporal Data Mining Approach

We present data mining results in which temporal behaviour of global hospital activities are visualized. The results show that the reuse of stored data will give a powerful tool for hospital management and lead to improvement of hospital services. The talk refers to the areas of temporal data mining, visualization, clustering, and hospital information systems.

Prof. Shusaku Tsumoto
Dr. Tsumoto holds positions of Full Professor at Shimane University and Shimane Medical University (Departments of Medical Informatics, School of Medicine) in Japan. He received his Medical Doctor (M.D.) degree from Osaka University (Medical School) in 1989, and Ph.D. degree from Tokyo Institute of Technology in 1997. He received a number of awards, including: the Best Paper Awards at 13th and 15th Japanese Joint Conferences on Medical Informatics (1993 and 1995), the IEEE ICDM 2002 Best Service Award, the Ohkawa Publication Prize "Elements of Data Mining" (2007), and the IEEE CBMS Best Paper Runner-Up Award (2008). He has served as the chair of international scientific conferences, such as: PAKDD, ICDM, CIKM, ISMIS, and SDM, and the editorial board member of international scientific journals, such as: JSAI Magazine/Journal, Intelligent Computing in Medicine, Data Mining and Data Management, Healthcare Engineering, and Knowledge and Information Systems. His current major research interests include: Decision Science (Rough Sets and Granular Computing), Knowledge Discovery in Databases and Data Mining, Hospital Information System (Electronic Patient Records), Service-oriented Computing in Medicine, Computational Disease Modelling, and Medical Terminology. He has been also very active as the event organizer and executive member of the International Societies of Rough Sets (since 1996) and Granular Computing (since 2009).

  
  
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