12/17(四)舉辦演講
各位老師、同學：
系上黃崇明老師舉辦 Mini-Workshop on Future Network, Parallel, and Distributed Computing，邀請多位國外專家學者來校，檢附詳細資訊及時間地點於文後，機會難得，邀請大家踴躍參加！詳細內容如下：
主辦單位：國立成功大學 資訊工程系/電機工程系
日 期：12月17日(四)
時 間：上午10:00~中午12:10
地 點：成功大學電機工程系 靄雲廳
對 象：資訊及電機相關系所教師及研究所學生
題 目： Mini-Workshop on Future Network, Parallel, and Distributed Computing Professor Ming T. (Mike) Liu
服務單位：Department of Computer Science and Engineering, The Ohio State University, U.S.A.
時 程 表：
10:00am~10:10am Opening (Prof. M.T Mike Liu)
10:10am~10:50am Data structures and algorithms for packet forwarding and classification (Prof. Sataj Sahni)
10:50am~11:30am An Introduction to Research Issues in Heterogeneous Parallel and Distributed Computing (Prof. H. J. Siegel)
11:30am~12:10pm Information Extraction and Integration Research on the Cloud for Financial Insights (Dr. Howard Ho - 何清田)
Prof. M.T Mike Liu
服務單位：Department of Computer Science and Engineering, The Ohio State University, U.S.A.
個人簡介：
Michael Ming-Tsan Liu (劉銘燦) received his BSEE degree from National Cheng Kung University in 1957, and his MSEE and PhD degrees from University of Pennsylvania in 1961 and 1964, respectively. From 1965 to 1969 he was Assistant Professor of Electrical Engineering at University of Pennsylvania. In 1969 he joined the Department of Computer Science and Engineering, The Ohio State University, as Associate Professor of Computer and Information Science, and was promoted to full professor in 1978.
His research areas are computer architecture, parallel and distributed processing, and computer networks and protocols. He has published over 200 papers in journals and conference proceedings, and supervised 56 PhD graduates. In 1983 he was elected to the rank of IEEE Fellow for his contributions to computer networking, distributed computing and education in computer science. He has received over 20 awards and recognitions, including Distinguished Alumni Award from National Cheng Kung University in 1987 and Distinguished Scholar Award from The Ohio State University in 1991.
He has been very active in professional activities, serving as Editor-in-Chief of IEEE Transactions on Computer from 1986 to 1990, as Vice President of the IEEE Computer Society in 1986 and a member of the Board of Governors from 1984 to 1990 and from 1997 to 2001, as Chair of the Awards Committee from 2001 to 2002 and Chair of the History Committee from 2002 to 2006. He has also served as general and program chair of several international conferences. Currently he is Chair of the Steering Committee of the International Conference on Parallel Processing (since 1997) and the International Conference on Distributed Computing Systems (since 1989).
He also launched two international conferences sponsored by the IEEE Computer Society. One is the International Conference on Network Protocols (ICNP) held at San Francisco in 1993, and the other is the Symposium on Applications and the Internet (SAINT) held in San Diego in 2001. Both conferences have been held outside of the US in Asia and Europe many times.
He has been active in promoting research in Taiwan. He served as Program Chair of the 1986 International Computer Conference (ICS) and the 1991 International Symposium on Communications (ISCOM, the first), both hosted by National Cheng Kung University. He served as General Co-Chair of the 1992 International Conference on Parallel and Distributed Systems (ICPADS, the first) hosted by National Tsing Hua University. He also served as General Co-Chair of the 2000 International Conference on Distributed Computing Systems (ICDCS, the first time held in Taiwan) and the 2003 International Conference on Parallel Processing (ICPP, the first time held in Taiwan).
Professor Sataj Sahni
服務單位：Department of Computer and Information Sciences and Engineering, University of Florida, USA
演講題目: Data structures and algorithms for packet forwarding and classification
Abstract:
Packet forwarding and classification at Internet speed is a challenging task.We review the data structures that have been proposed for the forwarding and classification of Internet packets. Data structures for both one-dimensional and multidimensional classification as well as for static and dynamic rule tables are reviewed. Sample structures include multibit one- and two-dimensional tries and hybrid shape shifting tries. Hardware assisted solutions such as Ternary Content Addressable Memories also are reviewed.
個人簡介：
Sartaj Sahni is a Distinguished Professor and Chair of Computer and Information Sciences and Engineering at the University of Florida. He is also a member of the European Academy of Sciences, a Fellow of IEEE, ACM, AAAS, and Minnesota Supercomputer Institute, and a Distinguished Alumnus of the Indian Institute of Technology, Kanpur. In 1997, he was awarded the IEEE Computer Society Taylor L. Booth Education Award ``for contributions to Computer Science and Engineering education in the areas of data structures, algorithms, and parallel algorithms'', and in 2003, he was awarded the IEEE Computer Society W. Wallace McDowell Award ``for contributions to the theory of NP-hard and NP-complete problems''. Dr. Sahni was awarded the 2003 ACM Karl Karlstrom Outstanding Educator Award for ``outstanding contributions to computing education through inspired teaching, development of courses and curricula for distance education, contributions to professional societies, and authoring significant textbooks in several areas including discrete mathematics, data structures, algorithms, and parallel and distributed computing.'' Dr. Sahni received his B.Tech. (Electrical Engineering) degree from the Indian Institute of Technology, Kanpur, and the M.S. and Ph.D. degrees in Computer Science from Cornell University. Dr. Sahni has published over two hundred and eighty research papers and written 15 texts. His research publications are on the design and analysis of efficient algorithms, parallel computing, interconnection networks, design automation, and medical algorithms.
Dr. Sahni is a co-editor-in-chief of the Journal of Parallel and Distributed Computing, a managing editor of the International Journal of Foundations of Computer Science, and a member of the editorial boards of Computer Systems: Science and Engineering, International Journal of High Performance Computing and Networking, International Journal of Distributed Sensor Networks and Parallel Processing Letters. He has served as program committee chair, general chair, and been a keynote speaker at many conferences. Dr. Sahni has served on several NSF and NIH panels and he has been involved as an external evaluator of several Computer Science and Engineering departments.
Prof. H. J. Siegel
服務單位：Department of Electrical and Computer Engineering and Department of Computer Science, Colorado State University
演講題目：An Introduction to Research Issues in Heterogeneous Parallel and Distributed Computing
Abstract:
In heterogeneous parallel and distributed computing environments, a suite of different machines is interconnected to provide a variety of computational capabilities. These capabilities are used to execute a collection of tasks with diverse computational requirements. The execution times of a task may vary from one machine to the next, and tasks must share the computing and communication resources of the system. An important research problem for heterogeneous computing is how assign tasks to machines and schedule the order of their execution to maximize some given performance criterion. An overview of a conceptual model of what this involves will be given. An example of resource allocation research will be presented. The example involves an ad hoc grid environment, with energy constrained mobile computing devices that could be used in a disaster management scenario. Open problems in the field of heterogeneous parallel and distributed computing will be discussed. “Alligators” that make heterogeneous computing challenging will be shown.
個人簡介：
H. J. Siegel is the George T. Abell Endowed Chair Distinguished Professor of Electrical and Computer Engineering at Colorado State University (CSU), where he is also a Professor of Computer Science. He is Director of the CSU Information Science and Technology Center (ISTeC), a university-wide organization for enhancing CSU’s activities pertaining to the design and innovative application of computer, communication, and information systems. From 1976 to 2001, he was a Professor at Purdue University. He received two B.S. degrees from the Massachusetts Institute of Technology (MIT), and the M.A., M.S.E., and Ph.D. degrees from Princeton University. He is a Fellow of the IEEE and a Fellow of the ACM. Prof. Siegel has co-authored over 350 published technical papers in the areas of parallel and distributed computing and communications. He was a Coeditor-in-Chief of the Journal of Parallel and Distributed Computing, and was on the Editorial Boards of the IEEE Transactions on Parallel and Distributed Systems and the IEEE Transactions on Computers.
Dr. Howard Ho
服務單位：IBM Almaden Research Center, San Jose, CA
演講題目：Information Extraction and Integration Research on the Cloud for Financial Insights
Abstract:
Midas is a new project started in late 2008 by the Intelligent Information Integration (aka Clio) Group at IBM Almaden. It aims at extracting, cleansing, and integrating data from multiple, publicly available, data sources. We initially focus on two domains: 1) a financial domain, where the input dataset consists of a heterogeneous collection of company filings with the US Securities & Exchange Commission (SEC), and 2) a US government domain, with data sources containing information about Congress members, earmarks and federal spending. In both domains, we are building a scalable Hadoop-based system where the goal is to transform the data from a document or record view of the world to an object-centric view, where multiple facts about the same real-world entity are merged into one object with, ideally, clean and complete attributes. In this talk, I will describe our initial prototype of the Midas system we built and the new research framework required to support such a scalable system. The main stages of Midas include unstructured information extraction, structured information integration, and temporal analysis and fusion. Our research aims to develop novel algorithms and tools as well as scalable and reusable software modules for all the different stages mentioned above.
個人簡介：
Howard (Ching-Tien) Ho (何清田) is a research staff member at the IBM Almaden Research Center currently managing the Intelligent Information Integration group. His current research interests include database, information integration and information extraction. Past research has included schema mapping, XML, data mining, on-line analytical processing (OLAP), communication issues for interconnection networks, algorithms for collective communications, graph embeddings, fault tolerance, and parallel algorithms and architectures. He is a recognized expert on parallel systems having led the Foundations of Massively Parallel Computing, published numerous patents, served as the Editor-in-Chief of Journal of Interconnection Networks and on the editorial board of the IEEE Transactions on Parallel and Distributed Systems, served as the program co-chairs for the ISPAN-2009 and as the vice-chair for 2 parallel processing conferences, and co-edited Large-Scale Parallel Data Mining. Dr. Ho has received multiple formal awards from IBM and has published 18 patents, over 30 journal papers, and over 50 conference papers in these areas. He received a B.S. degree in electrical engineering from National Taiwan University, Taiwan in 1979 and a Ph.D. degree in computer science from Yale University in 1990.
相關網址：無
公告人員：系辦人員
公告日期：2009-11-29
附加檔案：無附加檔案
