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How May Research Crank-Up Economic Engines? |
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Mohammad A. Karim, Ph.D Vice President for Research Old Dominion University, Virginia, USA |
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This keynote address will identify major re-engineering milestones and the transformational context that has evolved research universities into what are now primary drivers of regional economic engines. A few case studies of economic engines that are being cranked-up by research universities will be highlighted. Steps as well as do's and don'ts of how such technology transfer is envisioned, structured, managed, and led will be discussed. Biography Mohammad A. Karim is Vice-President for Research of ODU. He serves on the Governor's Virginia Research and Technology Advisory Commission (VRTAC), and on the board of the Southern Universities Research Association (SURA). He is North American Editor of Optics and Laser Technology, an Associate Editor of IEEE Transactions on Education, and a Member of the Editorial Board of Microwave and Optical Technology Letters. He serves as chair on the program committees of the International Conference on Computers and Information Technology (ICCIT) and the International Conference on Industrial Electronics, Technology & Automation (IETA). Dr. Karim is an elected fellow of the Optical Society of America, the Society of Photo-Instrumentation Engineers, the Institute of Physics, the Institution of Engineering & Technology, and the Bangladesh Academy of Sciences. He is author of 12 books, over 325 research papers, and 6 book chapters and has served as guest editor of 13 journal special issues. The list of his research sponsors include Office of Naval Research, National Science Foundation, US Air Force, Naval Research Laboratory, US Army, NASA, US Department of Education, Ohio Aerospace Institute, US Department of Defense, and Avionics Laboratory of Wright-Patterson Air Force Base. He served as research mentor of over 55 MS/PhD students during his career. Prior to joining ODU, Mohammad Karim served as Dean of Engineering at the City College of New York of the City University of New York. He received his BS Honors degree in physics from the University of Dacca, Bangladesh, in 1976, and MS in physics, MS in electrical engineering, and Ph.D. in electrical engineering degrees from the University of Alabama respectively in 1978, 1979, and 1981. For further information on Mohammad A. Karim, please visit: http://www.odu.edu/ao/research/about/mkarim.shtml
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Mobility Management for Networks in Motion
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Previous work on mobility management in data networks have mainly dealt with solutions regarding mobility of individual hosts. Various networks layer and transport layer solutions have been developed. However, recently there has been strong interest in finding solutions for networks in motion, such as networks in an aircraft, train or ship. As they move, rather than handing off individual hosts on such a network, it is more efficient to handover the networks between access points. These results in the handoff being transparent to the hosts and less control traffic in the resource challenged wireless networks. The talk with provide an overview of the network layer based solution being developed by the Internet Engineering Task Force and compare with the end-to-end based solution (SINEMO) being developed at University of Oklahoma in conjunction with the National Aeronautics and Space Administration for on networks in motion. The application of networks in motion will be illustrated for both terrestrial and space environment. Biography Dr. Mohammed
Atiquzzaman received the MS,and PhD,. degrees in electrical
engineering from the University of Manchester, England. Currently he
is faculty member in the School of Computer Science at University of
Oklahoma. He has previously held faculty positions at University of
Dayton, Ohio and Monash University, Australia. He is the
co-editor-in-chief of Computer Communications journal (Elsevier), and
serves on the editorial boards of IEEE Communications Magazine,
Telecommunications Systems journal, Real Time Imaging journal,
International Journal of Sensor Networks, and International Journal on
Wireless and Optical Communications. He was the conference chair of
Quality of Service over Next-Generation Data Networks conference, High
Performance Switching and Routing conference, and has also serves in
the technical program committee of many national and international
conferences including IEEE INFOCOM, IEEE Globecom. He is a senior
member of the IEEE. He is the coauthor of the book TCP/IP over ATM
Networks (Artech House). He has taught many short courses to industry
in the area of Computer and Telecommunication Networking. His research
has been supported by State and Federal agencies like NASA (USA), Ohio
Board of Regents (USA) and DITARD (Australia). He has over 170
refereed publications in the above areas, most of which can be
accessed at
http://www.cs.ou.edu/~atiq. |
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Utility-Oriented Grid Computing and the Gridbus Middleware
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Grid computing, one of the latest buzzwords in the ICT industry, is
emerging as a new paradigm for Internet-based parallel and
distributing computing. It enables the sharing, selection, and
aggregation of geographically distributed autonomous resources, such
as computers (PCs, servers, clusters, supercomputers), databases, and
scientific instruments, for solving large-scale problems in science,
engineering, and commerce. It leverages the existing IT infrastructure
to optimize compute resources and manage data and computing workloads.
The developers of Grids and Grid applications need to address numerous
challenges: security, heterogeneity, dynamicity, scalability,
reliability, service creation and pricing, resource discovery,
resource management, application decomposition and service
composition, and quality of services. A number of projects around the
world are developing technologies that help address one or more of
these challenges. To address some these challenges, the Gridbus
Project at the University of Melbourne has developed grid middleware
technologies that support rapid creation and deployment of eScience
and eBusiness applications on enterprise and global Grids. Biography Dr. Rajkumar Buyya is an Associate Professor of
Computer Science and Software Engineering; and Director of the Grid
Computing and Distributed Systems (GRIDS) Laboratory at the University
of Melbourne, Australia. He is the founding CEO of Manjrasoft Pty
Ltd., a spin-off company of the University, commercialising
innovations originating from the GRIDS Lab. He has authored over 220
publications and three books. The books on emerging topics that Dr.
Buyya edited include, High Performance Cluster Computing (Prentice
Hall, USA, 1999) and Market-Oriented Grid and Utility Computing
(Wiley, 2008). Dr. Buyya has contributed to the creation of
high-performance computing and communication system software for
Indian PARAM supercomputers. He has pioneered Economic Paradigm for
Service-Oriented Grid computing and developed key Grid technologies
such as Gridbus that power the emerging e-Science and e-Business
applications. He received "Research Excellence Award" from the
University of Melbourne for productive and quality research in
computer science and software engineering in 2005. The Journal of
Information and Software Technology in Jan 2007 issue, based on an
analysis of ISI citations, ranked Dr. Buyya's work (published in
Software: Practice and Experience Journal in 2002) as one among the
"Top 20 cited Software Engineering Articles in 1986-2005". He received
the Chris Wallace Award for Outstanding Research Contribution 2008
from the Computing Research and Education Association of Australasia,
CORE, which is an association of university departments of computer
science in Australia and New Zealand. |
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Constraints in Implementing Intelligent Systems in Real-time
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Although computer architectures incorporate fast processing hardware resources, high performance real-time implementation of a complex intelligent algorithm requires an efficient design and software coding of the algorithm so as to exploit special features of the hardware and avoid associated shortcomings of the architecture. There have been many effort made earlier to demonstrate efficient algorithm design and software coding to achieve real-time performance. However, complex intelligent real-time applications, for example optimal algorithms to solve business, engineering and systems biology applications are difficult to implement by exploiting the power of high performance computer domain and/or efficient algorithm design technique and/or better software coding. In this talk I will discuss the complexity of some of the computationally demanding intelligent systems for business, engineering and systems biology related applications. These will include the constraints of evolutionary optimization, uncertainty and large data manipulation/processing issues in implementing intelligent systems in real-time. I will then demonstrate some alternative solutions of these complex computational issues. This will also include how one can exploit the power of learning algorithms (artificial intelligence or adaptive filter) and/or discritising a problem into smaller sub-problems to achieve a solution in implementing an intelligent system in real-time. Finally, some of the research results will be presented to demonstrate the merits and capabilities of the proposed solutions. Biography Dr. Alamgir Hossain received the DPhil degree from the University of Sheffield, UK. Dr. Hossain is senior lecturer in the Department of Computing at the University of Bradford. He is an active member of modelling, optimisation, scheduling and intelligent control (MOSAIC) research group. Prior to this he has held academic position at Sheffield University (as visiting research fellow), Sheffield Hallam University (as senior Lecturer) and University of Dhaka (as Chairman & Associate Professor of the Computer Science & Engineering Department). He has extensive research experience in high performance computing, artificial intelligence, system biology and adaptive control. He is currently working as one of the investigators of an EU funded project, Euro-Asia Collaboration and Networking in Information Engineering System Technology (EAST-WEST) which has six partners from Asia and Europe. He is also acting as the UK co-ordinator of a British Council funded research network project for higher education link programme. Dr. Hossain is currently supervising 10 PhD students mostly to the area of intelligent systems and systems biology. In the past, he had involvement of many funded research projects and joint research with companies, including Balfour Beaty Rail, Goodrich Engine Design, Aramco etc. Dr. Hossain acted as programme chair, organising chair and IPC member of many international conferences. He is currently serving as an associate editor and member of the editorial board of two journals. He has reviewed many journal papers, including IEEE transaction on SMC, Networking, Aerospace and Electronic Systems, IET journals, Elsevier Science etc. Dr. Hossain has published over 120 refereed research articles and 12 books. He received the "IEE- F C Williams" award for a research article in 1996, best science writer award of Bangla academy in 1992 and Channel S "Lifetime Achievement Award 2008". He is a member of the IEEE and Secretary of the CLAWAR (a world wide network of climbing and walking robot) Association. Last but not the least, he was the initiator of the NCCIS 1997 (currently ICCIT), 1 st IT related conference in Bangladesh.
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Contrast Pattern Mining and Their Applications
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The ability to distinguish, differentiate and contrast between different datasets is a key objective in data mining. Such ability can assist domain experts to understand their data, and can help in building classification models. This presentation will introduce the principal techniques for contrasting datasets. It will also focus on some important real world application areas that illustrate how mining contrasts is advantageous. Biography Professor Ramamohanarao (Rao) Kotagiri received his degrees BE at Andhra University, ME at the Indian Institute of Science, Bangalore and PhD at Monash University. He was awarded the Alexander von Humboldt Fellowship in 1983. He has been at the University Melbourne since 1980 and was appointed a professor in computer science in 1989. Rao held several senior positions including Head of Computer Science and Software Engineering, Head of the School of Electrical Engineering and Computer Science at the University of Melbourne, Deputy Director of Centre for Ultra Broadband Information Networks, Co-Director of the Key Centre for Knowledge-Based Systems, and Research Director for the Cooperative Research Centre for Intelligent Decision Systems. He served as a member of the Australian Research Council Information Technology Panel. He served on the Prime Minister's Science, Engineering and Innovation Council working party on Data for Scientists. He also served on the Editorial Boards of the Computer Journal. At present he is on the Editorial Boards for Universal Computer Science, the Journal of Knowledge and Information Systems, IEEE TKDE (Transactions on Knowledge and Data Engineering), Journal of Statistical Analysis and Data Mining and VLDB (Very Large Data Bases) Journal. He served as a program committee member of several International conferences including SIGMOD, IEEE ICDM, VLDB, ICLP and ICDE. He was the program Co-Chair for VLDB, PAKDD, DASFAA and DOOD conferences. He is a steering committee member of IEEE ICDM, PAKDD and DASFAA. He received distinguished contribution award for Data Mining. Rao is a Fellow of the Institute of Engineers Australia, a Fellow of Australian Academy Technological Sciences and Engineering and a Fellow of Australian Academy of Science. Rao has research interests in the areas of Database Systems, Logic Based Systems, Agent Oriented Systems, Information Retrieval, Data Mining, Intrusion Detection and Machine Learning. For further information on Prof. R. Kotagiri, please visit: http://www.cs.mu.oz.au/~rao
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Representation and Reasoning with Constraints |
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For the last five decades, research in Artificial Intelligence (or Computational Intelligence) has focused on developing a comprehensive theory of understanding intelligence and building computer programs that exhibit human-like behaviours. To achieve these objectives, researchers have been investigating and developing expressive languages (declarative representations) that are able to capture the complex relationships among objects in the world, and computational methods (reasoning algorithms) to efficiently manipulate these expressions. The constraint satisfaction paradigm is a simple but powerful way to declaratively express complex relationships among individuals in the world in terms of constraints that define “what is allowed” and “what is not allowed.” It also allows us to develop computational methods that can efficiently process such constraints. In this talk, I will firstly give an overview of the progress in the field; secondly, I will provide a summary of my research team’s recent contributions, especially our work on propositional satisfiability (SAT) solving; and thirdly, I will highlight some of the challenging problems yet to be solved. Biography Prof Sattar is founding Director of the Institute for Integrated and Intelligent Systems (IIIS), a research centre of excellence at Griffith University established in 2003. He is a Research Leader at NICTA Queensland Laboratory since June 2005, and also held the Associate Director of Education portfolio at the Queensland Laboratory from October 2006-June 2008. He has been an academic staff member at Griffith University since February 1992 as a lecturer (1992-95), senior lecturer (1996-99), and professor (2000-present) within the School of Information and Communication Technology. Prior to his career at Griffith University, he was a lecturer in Physics in Rajasthan, India (1980-82), research scholar at Jawaharlal Nehru University, India (1982-85), the University of Waterloo, Canada (1985-87), and the University of Alberta, Canada (1987-1991). He holds a BSc (Physics, Chemistry and Mathematics) and an MSc (Physics) from the University of Rajasthan, India, an MPhil in Computer and Systems Sciences from the Jawaharlal Nehru University, India, and an MMath in Computer Science from the University of Waterloo, Canada, and a PhD in Computer Science (with specialization in Artificial Intelligence) from the University of Alberta, Canada. His current research interests include knowledge representation and reasoning, constraint satisfaction, rational agents, propositional satisfiability, temporal reasoning, temporal databases, and bioinformatics. He has supervised 17 successful completions of PhD graduates, and published over 100 technical papers in refereed conferences and journals in the field. His research team has won three major international awards in recent years (the gold medals for the SAT 2005 and SAT 2007 competitions in the random satisfiable category and an IJCAI 2007 distinguished paper award). He has won several awards starting from the national scholarships during his studies in India, a Commonwealth scholarship in Canada (1985-1990), to a number of research grants. The main grants include ARC large and Discovery grants (worth approximately $1.5M). He was a principal researcher in the winning bid for the Collaborative Research Centre (CRC) for Smart Internet (funding of over $50M for 7 years 2000-2007), and one of the four founding research leaders for NICTA Queensland Laboratory’s SAFE project ($3.7M for 2005-2008), Smart Applications For Emergencies (SAFE). He led the successful bid for the establishment of IIIS (2003-2007), and its renewal for 2008-2011 (funding approx $300,000 per year). He is a life time member of AAAI, and a professional member of the ACM. He has been playing leading roles in organizations of several national and international conferences for the last 20 years.
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Biography Limsoon Wong is a professor in the School of Computing and the School of Medicine at the National University of Singapore. Before that, he was the Deputy Executive Director for Research at A*STAR's Institute for Infocomm Research. He is currently working mostly on knowledge discovery technologies and is especially interested in their application to biomedicine. Prior to that, he has done significant research in database query language theory and finite model theory, as well as significant development work in broad-scale data integration systems. Limsoon has written about 100 research papers, a few of which are among the best cited of their respective fields. In recognition for his contributions to these fields, he has received several awards, the most recent being the 2003 FEER Asian Innovation Gold Award for his work on treatment optimization of childhood leukemias. He serves on the editorial boards of Journal of Bioinformatics and Computational Biology (ICP), Bioinformatics (OUP), and Drug Discovery Today (Elsevier). He is a scientific advisor to GeneticXchange (USA), Molecular Connections (India), CellSafe International (Malaysia), and KooPrime (Singapore). He received his BSc(Eng) in 1988 from Imperial College London and his PhD in 1994 from University of Pennsylvania. For further information on Prof. R. Kotagiri, please visit: http://www.comp.nus.edu.sg/~wongls/
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