• Welcome to SCA 2012
  • Welcome to SCA 2012
  • Welcome to SCA 2012

Keynote Speakers


Professor Deyi Li

Chinese Academy of Engineering


Title: To be announced


To be announced

Professor Deyi Li's Bio

Deyi Li, interested in artificial intelligence, complex network and cloud computing, he is the member of Chinese Academy of Engineering, the member of Eurosian Academy of Science, the president of Chinese Association of Artificial Intelligence.


Professor Fei-Yue Wang

Chinese Academy of Sciences


Title: From Social Computing to Social Manufacturing: A New Frontier in Cyber-Physical-Social Space


This presentation will address key issues in social manufacturing, including 3D printing technology and related models in social computing, especially crowdsourcing and cyber movement organizations (CMO). Several emerging business practices and their significance will be investigated and discussed. We will focus on a proposed framework for operations and services of next-generation social manufacturing systems based on parallel control and management.

Professor Fei-Yue Wang's Bio

Fei-Yue Wang received his Ph.D. in Computer and Systems Engineering from Rensselaer Polytechnic Institute, Troy, New York in 1990. He joined the University of Arizona in 1990 and became a Professor and Director of the Robotics and Automation Lab and Program in Advanced Research for Complex Systems. In 1999, he found the Intelligent Control and Systems Engineering Center at the Chinese Academy of Sciences (CAS), Beijing, China, under the support of the Outstanding Oversea Chinese Talents Program, and in 2002, was appointed as the Director of the CAS Key Lab for Complex Systems and Intelligence Science. From 2006 to 2010, he was Vice President for research, education, and academic exchanges at the Institute of Automation, Chinese Academy of Sciences. Since 2005, he is the Dean of the School of Software Engineering, Xian Jiaotong University. In 2011, he became the Director of the State Key Laboratory of Management and Control for Complex Systems. Dr. Wang was the Founding Editor-in-Chief of the International Journal of Intelligent Control and Systems from 1995 to 2000, the Series on Intelligent Control and Intelligent Automation from 1996 to 2004, and IEEE Intelligent Transportation Systems, and the EiC of IEEE Intelligent Systems and IEEE Trans on ITS from 2009 to 2012. Since 1997, he has served as General or Program Chair of more than 20 IEEE, INFORMS, ACM, ASME conferences. He was the President of IEEE ITS Society from 2005 to 2007, Chinese Association for Science and Technology (CAST, USA) in 2005, and the American Zhu Kezhen Education Foundation from 2007-2008. Currently, he is the Vice President and Secretary General of Chinese Association of Automation. Dr. Wang is member of Sigma Xi and an elected Fellow of IEEE, INCOSE, IFAC, ASME, and AAAS. In 2007, he received the 2nd Class National Prize in Natural Sciences of China and awarded the Outstanding Scientist by ACM for his work in intelligent control and social computing. He received IEEE ITS Outstanding Application and Research Awards in 2009 and 2011, respectively.


Professor Ivan Stojmenovic

University of Ottawa


Title: Mobile Cloud and Crowd Computing and Sensing


Mobile devices (smart phones, tablets, laptops, embedded boards, robots) can serve as terminals for cloud computing services over intelligent network. Mobile cloud has emerged as a new cloud computing platform that ¡®puts cloud into a pocket¡¯. Important issues include optimizing the scheduling and transport schemes, access management, and application optimization, for mobile devices to achieve energy saving. This talk will first introduce the development of mobile cloud computing and describe some applications involving multimedia, vision/recognition, graphics, gaming, text processing. It will present the transmission, computation (e.g. task outsourcing), and sensing (e.g. location based services) challenges and solution approaches of green computing in mobile cloud. ¡®Crowd computing¡¯ combines mobile devices and social interactions to achieve large-scale distributed computation. Examples include task farming and social network creation and cooperation. Mobile devices are being equipped with various sensors to provide input for participatory and opportunistic crowd-sourced sensing. Particular emerging concepts are ¡®vehicular cloud¡¯ and ¡®vehicular crowd¡¯, with applications such as cloud server, vehicular data center, and congestion mitigation.

Professor Ivan Stojmenovic's Bio

Prof. Ivan Stojmenovic received his Ph.D. degree in mathematics in 1985. He held regular or visiting positions in Serbia (Institute of Mathematics, University of Novi Sad, 1980-1987), Japan (Electrotechnical Laboratory, Tsukuba, 1985/6), USA (Washington State University, Pullman, WA, and University of Miami, FL, 1987/88), France (Amiens 1998, Lille 2002-2007, Paris 2008), Mexico (DISCA, IIMAS, Universidad Nacional Autonoma de Mexico, 2000/02), Spain (Murcia, 2005), UK (University of Birmingham, 2007/08), Hong Kong (May 2009), Brazil (Sao Carlos, August 2009), Canada (SITE, University of Ottawa, since 1988).

Stojmenovic published >250 different papers in referred journals and conferences; >90 of them are in journals with an ISI impact factor, >20 are in IEEE or ACM journals. His most significant publications can be seen at www.site.uottawa.ca/~ivan. He co-authored over 30 book chapters, mostly very recent.

He collaborated with about 100 co-authors with Ph.D. and a number of their graduate students from 24 different countries. He (co)supervised >50 completed Ph.D. and master theses, and published over 120 joint articles with supervised students. He also published articles with 27 graduate students outside of their theses, and 4 undergraduate students. His current research interests are mainly in wireless ad hoc, sensor and cellular networks. His research interests also include parallel computing, multiple-valued logic, evolutionary computing, neural networks, combinatorial algorithms, computational geometry, graph theory, computational chemistry, image processing, programming languages, and computer science education.

He is current editor-in-chief of IEEE Transactions on Parallel and Distributed Systems.


Professor Hai Jin

Huazhong University of Science and Technology


Title: Performance Consideration of Virtualized System


Virtualization is a rapidly evolving technology that provides a range of benefits to computing systems, such as improved resource utilization and management, application isolation and portability, and system reliability. Among these features, live migration, resources management (including vCPU scheduling and I/O management) are core functions. Live migration of virtual machine (VM) provides a significant benefit for virtual server mobility without disrupting service. It has become an extremely powerful tool for system management in a variety of key scenarios, such as VM load balancing, fault tolerance, power management and other applications. Experimentations and traces show that the performance of live migration is not good enough for different applications. Of course, based on the virtualization architecture management schemes for CPU and I/O resources also need to be reconsidered when supporting different applications with different workload.
In this talk, some typical issues in virtualized system will be discussed. Firstly, to take into account the migration overhead in migration decision making, we thoroughly analyze the key parameters that affect the migration cost from theory to practice, and construct two application-oblivious models for the cost prediction by using learned knowledge about the workloads at the hypervisor (also called VMM) level. We evaluate the models using five representative workloads on a Xen virtualized environment. Based on the model, we have proposed two live migration schemes for different scenarios: a novel approach that adopts checkpointing/recovery and trace/replay technology to provide fast, transparent VM migration for applications with high reliability, and a memory-compression-based VM migration system for normal applications. Secondly, the asynchronous-synchronous disk I/O model in a typical virtualized system exhibits several problems. For example, when the frontend fails abruptly, the unsaved data in the frontend¡¯s cache will be lost. To address the problems, we introduce a new I/O model. In this model, rather than performing the asynchronous-synchronous operations for an asynchronous I/O write request, the frontend file system uses synchronous operations to deal with the I/O request and the backend file system performs asynchronous operations to write the data to the hard disk. A prototype system called HypeGear is implemented on the Xen hypervisor. Thirdly, VMM schedulers have focused on fairly sharing the processor resources among domains, rarely consider VCPUs' behaviors. However, this can result in poor application performance to overcommitted domains if there are concurrent programs hosted in them. We review the properties of both Xen's Credit and SEDF schedulers, and show how these schedulers may seriously impact the performance of the communication-intensive and I/O-intensive concurrent applications in overcommitted domains. A novel approach, that dynamically scales the context switching-frequency by selecting variable time slices according to VCPUs' behaviors, is then proposed to improve the Credit scheduler more adaptive for concurrent applications.

Professor Hai Jin's Bio

Hai Jin is a Cheung Kung Scholars Chair Professor of computer science and engineering at the Huazhong University of Science and Technology (HUST) in China. He is now Dean of the School of Computer Science and Technology at HUST. Jin received his PhD in computer engineering from HUST in 1994. In 1996, he was awarded a German Academic Exchange Service fellowship to visit the Technical University of Chemnitz in Germany. Jin worked at The University of Hong Kong between 1998 and 2000, and as a visiting scholar at the University of Southern California between 1999 and 2000. He was awarded Excellent Youth Award from the National Science Foundation of China in 2001. Jin is the chief scientist of ChinaGrid, the largest grid computing project in China, and the chief scientist of National 973 Basic Research Program Project of Virtualization Technology of Computing System.

Jin is a senior member of the IEEE and a member of the ACM. Jin is the member of Grid Forum Steering Group (GFSG). He has co-authored 15 books and published over 400 research papers. His research interests include computer architecture, virtualization technology, cluster computing and grid computing, peer-to-peer computing, network storage, and network security

Jin is the steering committee chair of International Conference on Grid and Pervasive Computing (GPC), Asia-Pacific Services Computing Conference (APSCC), International Conference on Frontier of Computer Science and Technology (FCST), and Annual ChinaGrid Conference. Jin is a member of the steering committee of the IEEE/ACM International Symposium on Cluster Computing and the Grid (CCGrid), the IFIP International Conference on Network and Parallel Computing (NPC), and the International Conference on Grid and Cooperative Computing (GCC), International Conference on Autonomic and Trusted Computing (ATC), International Conference on Ubiquitous Intelligence and Computing (UIC).



Professor Jian Pei

School of Computing Science
Simon Fraser University
University Drive
Burnaby, BC Canada


Title: Towards Connecting Big Data with Many People


Big data, which refers to the data sets that are too complicated and too big to be handled using the existing database management tools, is emerging in many important applications, such as Internet search, business informatics, social networks, social media, genomics, and meteorology. Big data presents a grand challenge for database and data analytics research. In this talk, I review some of the exciting research in my group under the central theme of connecting big data with many people in various ways. Particularly, I will show case our recent progress in user preference understanding, context-aware, on-demand data mining using crowd intelligence, summarization and explorative analysis of large datasets, and privacy preserving data sharing and analysis.

Professor Jian Pei

Jian Pei is a Professor at the School of Computing Science,Simon Fraser University, Canada. He is interested in researching, developing, and deploying effective and efficient data analysis techniques for novel dataintensive applications, including data mining, Web search, data warehousing and online analytic processing, database systems, and their applications in social networks and media, health-informatics, business and bioinformatics. His research has been extensively supported in part by governmental funding agencies and industry partners. He is also active in developing industry relations and collaboration, transferring technologies developed in his group to industry applications, and developing proof-of-concept prototypes. Since 2000, he has published 1 textbook, 2 monographs and over 170 research papers in refereed journals and conferences, which have been cited thousands of times. He has served in the organization committees and the program committees of over 160 international conferences and workshops. He is the associate editor-in-chief (Named new EIC) of IEEE Transactions of Knowledge and Data Engineering (TKDE), and an associate editor or editorial board member of the premier academic journals in his fields, including ACM Transactions on Knowledge Discovery from Data (TKDD),Data Mining and Knowledge Discovery, Knowledge and Information Systems,Statistical Analysis and Data Mining, Intelligent Data Analysis, and Journal of Computer Science and Technology. He is an ACM Distinguished Speaker, and a senior member of ACM and IEEE. He is the recipient of several prestigious awards.



Mohammed Atiquzzaman, Ph.D.

Edith J. Kinney Gaylord Presidential Professor,
School of Computer Science
University of Oklahoma
Norman, OK 73019


Title: Mobility Management for Satellite and Terrestrial Networks: Architecture, Performance and Energy Considerations


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. This 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) developed at University of Oklahoma in conjunction with the National Aeronautics and Space Administration for networks in motion. Issues related to architecture, performance and energy consumption of mobility protocols and future directions for research will be described. The application of networks in motion will be illustrated for both terrestrial and space environment.

Professor Mohammed Atiquzzaman 's Bio

Mohammed Atiquzzaman (Senior Member, IEEE) obtained his M.S. and Ph.D. in Electrical Engineering and Electronics from the University of Manchester (UK) in 1984 and 1987, respectively. He currently holds the Edith J Kinney Gaylord Presidential professorship in the School of Computer Science at the University of Oklahoma.

Dr. Atiquzzaman is the Editor-in-Chief of Journal of Networks and Computer Applications, and serves/served on the editorial boards of many journals including IEEE Communications Magazine, Real Time Imaging Journal, International Journal of Communication Networks and Distributed Systems and Journal of Sensor Networks and International Journal of Communication Systems. He co-chaired the IEEE High Performance Switching and Routing Symposium (2003, 2011), several IEEE Globecom and ICC symposiums (2010, 2009, 2007, 2006), ?and the SPIE Quality of Service over Next Generation Data Networks conferences (2001, 2002, 2003). He was the panels co-chair of INFOCOM¡¯05, and is/has been in the program committee of many conferences such as INFOCOM, Globecom, ICCCN, Local Computer Networks, and serves on the review panels at the National Science Foundation. He is the current Vice Chair of IEEE Communication Society Technical Committee on Communications Switching and Routing.

Dr. Atiquzzaman received IEEE Communication Society's Fred W. Ellersick Prize, and NASA Group Achievement Award for "outstanding work to further NASA Glenn Research Center's effort in the area of Advanced Communications/Air Traffic Management's Fiber Optic Signal Distribution for Aeronautical Communications" project. He is the co-author of the book ¡°Performance of TCP/IP over ATM networks¡± and has over 250 refereed publications, most of which can be accessed at www.cs.ou.edu/~atiq.

His current research interests are in areas of transport protocols, wireless and mobile networks, ad hoc networks, satellite networks, power-aware networking, and optical communications. His research has been funded by National Science Foundation (NSF), National Aeronautics and Space Administration (NASA), and U.S. Air Force, Cisco and Honeywell.


Professor Irwin King,

Department of Computer Science and Engineering,
The Chinese University of Hong Kong,

Shatin, New Territories, Hong Kong


Title: Social Computing in the e-Era


With the pervasive electronic access readily available, the e-Era has brought on new paradigms in e-government, e-commerce, e-health, e-learning, etc. In recent years, the emergence of social computing has further expanded this e-paradigm with new approaches and techniques on how we process social media data. It is not difficult to see how social computing as a natural extension that builds on the e-paradigm scaffolding that promotes social interactivity. However, what does this new social interactivity bring us? The talk outlines some novel research work and applications in social computing in the e-Era. It will also reflects on some obvious and also subtle aspects of social computing with a few of our work that further illustrate how social media influence our everyday life and impact our society.

Professor Irwin King¡¯s Bio:

Prof. King's research interests include machine learning, social computing, web intelligence, data mining, and multimedia information processing. In these research areas, he has over 210 technical publications in journals and conferences. In addition, he has contributed over 30 book chapters and edited volumes. Moreover, Prof. King has over 30 research and applied grants. One notable patented system he has developed is the VeriGuide System, which detects similar sentences and performs readability analysis of text-based documents in both English and in Chinese to promote academic integrity and honesty.

Prof. King is the Book Series Editor for ¡°Social Media and Social Computing¡± with Taylor and Francis (CRC Press). He is also an Associate Editor of the ACM Transactions on Knowledge Discovery from Data (ACM TKDD) and a former Associate Editor of the IEEE Transactions on Neural Networks (TNN) and IEEE Computational Intelligence Magazine (CIM). He is a member of the Editorial Board and Special Issue Guest Editor of several international journals. He is a senior member of IEEE and a member of ACM, International Neural Network Society (INNS), and Asian Pacific Neural Network Assembly (APNNA). Currently, he is serving the Neural Network Technical Committee (NNTC) and the Data Mining Technical Committee under the IEEE Computational Intelligence Society (formerly the IEEE Neural Network Society). He is also a member of the Board of Governors of INNS and a Vice-President and Governing Board Member of APNNA. He also serves INNS as the Vice-President for Membership in the Board of Governors.

He is Professor at the Department of Computer Science and Engineering, The Chinese University of Hong Kong. He received his B.Sc. degree in Engineering and Applied Science from California Institute of Technology (Caltech), Pasadena and his M.Sc. and Ph.D. degree in Computer Science from the University of Southern California (USC), Los Angeles. Recently he was on leave to be with AT&T Labs Research, San Francisco and also as a Visiting Professor at UC Berkeley.


Professor Xiaoqing (Frank) Liu,

Department of Computer Science,
Missouri University of Science and Technology,

Rolla, USA


Title: Online intelligent argumentation systems: issues, challenges, design, and applications


Argumentation is an important and critical process in addressing social, financial, and business challenges. On-line argumentation systems are a significant type of social computing systems.They are very promising and show significant potentials in enabling wide participation in decision making process, decision rationale capturing, conflict resolution, and public policy development. In this talk, I will first present research issues, challenges, capabilities, applications, and benefits of on-line intelligent argumentation systems. I will then discuss design and case studies of our on-line intelligent argumentation system. Our intelligent argumentation and collaborative decision support project website is currently ranked as a top site by the GOOGLE search engine under search criteria ¡°argumentation collaborative decision making software¡± out of millions of search results. Finally, I will focus on polarization detection and analysis in on-line argumentation. In an argumentation process, participants tend to form groups, called polarization groups based on their opinions and exchange of arguments. Identification of argumentation polarization groups and their leaders becomes an important challenge which has not been addressed adequately in the past. We will present a framework for detecting polarization groupsin an argumentation process using a clustering algorithm. It is evaluated usingan online argumentation data setproduced using our system. The experimental results show that the framework works effectively for detection and analysisof on-line argumentation polarization. The argumentation polarization assessment provides decision makers with more information about polarization groups and their opinions towards given issues and it helps them to analyze post-decision impacts on individual polarization groups.

Professor Xiaoqing (Frank) Liu¡¯s Bio:

Xiaoqing (Frank) Liu is currently a professor and graduate coordinator in the computer science department at the Missouri University of Science and Technology. He is also a director of the McDonnell Douglass Foundation software engineering laboratory there. In addition, he is a vice chair of information technology and computing committee at the Missouri University of Science and Technology. He has been working on software engineering, social computing, service computing, requirements engineering, argumentation and collaborative systems, and software engineering applications in power systems and advanced manufacturing since 1985. He served as a program committee chair of the 2008 IEEE International Conference on Computer Software and Applications and program committee chairs of the 2011 and 2012 International Conference on Collaboration Technologies and Systems. He has published more than 110 journal and conference papers and book chapters in the above areas. He participates in twenty-six funded research projects as a principal investigator or co-principal investigator sponsored by the National Science Foundation, Sandia National Laboratory, U.S. Army, U.S. Air Force, Boeing Co., Toshiba Co., Spirit Aerospace, University of Missouri Research Board, and other reputable institutions.


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