Keynote Speakers
Dr. Samuel Keene
IEEE Reliability
Biography:
Sam Keene is a Past President of the IEEE Reliability Society and continues to serve on its Advisory Committee. He also serves on the Board of Directors of the IEEE Technology Management Council. Dr. Keene received the 1996 “Reliability Engineer of the Year,” the Allan Chop Education award from the American Society of Quality in 1999, and the IEEE Education Award in 2000. He was also recognized with the IEEE Millennium Metal and by the FAA for distinguished Service on the WAAS flight navigation system reliability.
Dr. Keene holds the office of Fellow of the IEEE for his technical accomplishments. He has produced ten video tutorials on different aspects of software development, software reliability and concurrent engineering for NASA, NTU, and the IEEE. He has published over 200 technical papers and several book chapters. Dr. Keene was the co-principal developer of the PRISM reliability model and has worked on updates of the MIL HDBK 217 models. He has been a Six Sigma Senior Master Black Belt since 1999. Dr. Keene received his PhD is in Operations Research from the University of Colorado.
Title:
Six Sigma Requirement Development Tools Assure More Reliable Software
Abstract:
Six Sigma is thought of as a quality improvement tool that uses the best statistical and process improvement tools. The Six Sigma goal is to have no more than 3.4 defects per million opportunities. That is the Six Sigma quality level target. Design for Six Sigma (DFSS) wants to be pro-active and use the best development practices to produce high quality products. This presentation will demonstrate 6 preferred tools to promote better product designs.
Dr. Yang Xiao, Professor
Department of Computer Science
The University of Alabama
Tuscaloosa, AL 35487-0290 USA
Biography:
Dr. Yang Xiao worked in industry as a MAC (Medium Access Control) architect involving the IEEE 802.11 standard enhancement work before he joined academia. Dr. Xiao currently is a professor of Department of Computer Science at The University of Alabama. He was a voting member of IEEE 802.11 Working Group from 2001 to 2004. His research areas are security and communications/networks. He has published more than 200 refereed journal papers and over 200 refereed conference papers and book chapters related to these research areas. He currently serves as Editor-in-Chief for International Journal of Security and Networks (IJSN) and International Journal of Sensor Networks (IJSNet) (SCI-index). Dr. Xiao had directed 8 doctoral dissertations in the past and is currently supervising 7 Ph.D. students/candidates in computer security and networking areas. Dr. Xiao also supervised 19 M.S. graduates in the past.
Title:
Heterogeneous Mobile and Static Sensor Networks
Abstract:
Although previous bio-inspired models have concentrated on invertebrates (such as ants), mammals such as primates with higher cognitive function are valuable for modeling the increasingly complex problems in engineering. Understanding primates' social and communication systems, and applying what is learned from them to engineering domains is likely to inspire solutions to a number of problems.
This talks introduce studying and modeling modes of group behavior and communication of coppery titi monkeys, rhesus macaques, and other primate models, and applying what the investigators learn to the distributed control of heterogeneous mobile and static sensor networks including assessment of the effectiveness of small and large group formations in heterogeneous mobile and static sensor networks, development of bio-inspired message-based communications, and development of bio-inspired behavior-based communications.
Zhanquan Sun
Biography:
Prof. Zhanquan Sun associated professor of Shandong Computer Science Center, got doctor degree from Institute of Automation, Chinese Academic of Sciences at 2007, and went to Indiana University Bloomington to do one year visiting scholar in 2011. My research mainly concentrate on big data science, intelligent transportation systems, and cloud computing. Has presided and attended 10 research projects and published about 40 academic papers.
Title:
Large-scale data mining methods study based on MapReduce
Abstract:
With the development of electronic and computer technology, the quantity of electronic data is in exponential growth. Data deluge has become a salient problem to be solved. How to take full use of these large scale data to support decision is a big problem encountered by scientists. Data mining is the process of discovering new patterns from large data sets. It has been studied by many scholars in all kinds of application area for many years and many data mining methods have been developed and applied to practice. However, most classical data mining methods are out of reach in practice in face of big data. Efficient parallel algorithms and implementation techniques are the key to meeting the scalability and performance requirements entailed in such large scale data mining analyses. MapReduce is taken as the most popular techniques to deal with data intensive problems. Several MapReduce architectures are developed now. The most famous is the Google, but the source code is not open. Hadoop is the most popular open source MapReduce software. The MapReduce architecture in Hadoop doesn’t support iterative Map and Reduce tasks, which is required in many data mining algorithms. Professor Fox developed an iterative MapReduce architecture software Twister. It supports not only non-iterative MapReduce applications but also an iterative MapReduce programming model. The project mainly studied parallel Support Vector machine, clustering method and feature selection method based on Twister. The developed parallel methods are applied to analyze intelligent transportation and DNA data.
Yuehua Wan
Prof. Yuehua Wan serves as director of Information Inquiry of Zhejiang University of Technology Library. He has years of experience in teaching and scientific research and has been going into depth into information resource development and utilization in scientific research. Prof.. Wan has accumulated rich experience of applying national fund and Doctoral Scientific Fund and writing and publishing SCI papers. He has published more than a dozen books and more than 80 papers, including more than 30 SCI, EI and ISTP papers. He undertook and participated in national foundation of 2, Zhejiang provincial fund of 2 and Zhejiang provincial social planning of 2.At present, he holds senior advisor of Thomson Reuters and content selection committee member of Elsevier Scopus. He is also a reviewer of many journals at home and abroad as well. More than 40 colleges and universities once invited him to contribute and produce subject application report, such as University of Science and Technology of China, Huazhong University of Science and Technology, China Agricultural University, Central South University and Hunan University.