Professor Sun Chengzheng
School of Computer Engineering, Nanyang Technological University Singapore
Sun Chengzheng (in Chinese Pin Yin) or Chengzheng Sun (in
English) is a Professor in the School of Computer Engineering at Nanyang
Technological University in Singapore. He studied wireless telecommunication
technology and graduated from North-East University (NEU), Shenyang, China (1973
- 1976). He worked as an electronic engineer at Chengdu Exploration Company in
the Department of Steel and Iron Industry in China (1976-1979). He obtained an
MPhil degree in computer engineering from East-China Institute of Computing
Technology (ECICT), Shanghai, China (1979 - 1982). He worked as a lecturer in
the Department of Computer Science and Technology at the University of
Electronic Science and Technology of China (UESTC), Chengdu, China (1983-1984).
He obtained a Ph.D degree in computer engineering from National University of
Defense Technology (NUDT) , Changsha, China (1984-1987). From Jan. 1988 to May
1993, he worked as a research scientist and a senior software engineer in
University of Amsterdam (UvA), Philips Research Labs Eindhoven , and the ACE
software company in Amsterdam , The Netherlands. He received a second Ph.D
degree in computer science from University of Amsterdam, The Netherlands, 1992.
From May 1993 to June 2005, he worked as a Lecturer, Senior Lecturer, Associate
Professor, Professor and Chair of Internet Computing (since 1999) in the School
of Information and Communication Technology at Griffith University in Brisbane,
Queensland, Australia. He joined Nanyang Technological University, Singapore, on
July 1 2005.
Professor Sun's current research focuses on collaborative Internet/cloud computing, which lies at the intersections of Computer-Supported Cooperative Work (CSCW), distributed systems and computer communication networks, human-computer interaction, and software engineering. Major applications of his research include: collaborative productivity systems (e.g. collaborative word processors, slide authoring and presentation tools, spreadsheets, web page design tools, graphics drawing tools, and image/photo editors), collaborative design and engineering (e.g. collaborative Computer-Aided Design (CAD) and Computer-Aided Software Engineering (CASE) systems), and collaborative virtual environments (e.g. collaborative distributed simulation, virtual enterprise, and network-based multi-user games).
Professor Sun is on the Editorial Advisory Board of Journal of Computer Supported Cooperative Work (JCSCW) by Kluwer Academic Publishers. Professor Sun holds Adjunct Professorship positions at Griffith University (Australia), National University of Defense Technology (China), and Fudan University (China).
Professor Jiankun Hu
School of Engineering and Information Technology, UNSW Canberra (Australian Defence Force Academy), Australia
Jiankun Hu is a full professor of Cyber Security at the School of Engineering and Information Technology, the University of New South Wales at the Australian Defence Force Academy (UNSW@ADFA), Australia. His major research interest is in computer networking and computer security, especially biometric security. He has been awarded seven Australia Research Council Grants. He served as Security Symposium Co-Chair for IEEE GLOBECOM'08 and IEEE ICC'09. He was Program Co-Chair of the 2008 International Symposium on Computer Science and its Applications. He served and is serving as an Associate Editor of the following journals: Journal of Network and Computer Applications, Elsevier; Journal of Security and Communication Networks, Wiley; and Journal of Wireless Communication and Mobile Computing, Wiley. He is the leading Guest Editor of a 2009 special issue on biometric security for mobile computing, Journal of Security and Communication Networks, Wiley.
He received a Bachelor's degree in industrial automation in
1983 from Hunan University, PR China, a PhD degree in engineering in 1993 from
the Harbin Institute of Technology, PR China, and a Master's degree for research
in computer science and software engineering from Monash University, Australia,
In 1995 he completed his postdoctoral fellow work in the Department of Electrical and Electronic Engineering, Harbin Shipbuilding College, PR China. He was a research fellow of the Alexander von Humboldt Foundation in the Department of Electrical and Electronic Engineering, Ruhr University, Germany, during 1995-1997. He worked as a research fellow in the Department of Electrical and Electronic Engineering, Delft University of Technology, the Netherlands, in 1997. Before he moved to RMIT University Australia, he was a research fellow in the Department of Electrical and Electronic Engineering, University of Melbourne, Australia.
Abstract: Biometrics security mechanism such as fingerprint, face, and iris etc. can address the built-in weakness of traditional cryptography. However, biometrics templates themselves need to be protected. With the increasing the use of biometrics, there is a trend to store biometrics in the cloud. Obviously these biometrics data needs to encrypted in the cloud for privacy protection. Therefore there is a strong demand for privacy-preserving biometrics authentication over these encrypted data. The powerful homomorphic encryption can process mirror operations between encrypted and unencrypted domains. However, a direct application of this method is problematic as it will inove intensive computation and also it cannot address the problem of biometrics matching. This talk will introduce latest development in the field and propose a solution.
Professor Nicolas H. Younan
Mississippi State University, USA
Nicolas H. Younan is currently the Department Head and James Worth Bagley Chair of Electrical and Computer Engineering at Mississippi State University. He received the B.S. and M.S. degrees from Mississippi State University, in 1982 and 1984, respectively, and the Ph.D. degree from Ohio University in 1988. Dr. Younan's research interests include signal processing and pattern recognition. He has been involved in the development of advanced signal processing and pattern recognition algorithms for data mining, data fusion, feature extraction and classification, and automatic target recognition/identification. He has published over 250 papers in refereed journals and conference proceedings, and book chapters. He served as the General Chair and Editor for the 4th IASTED International Conference on Signal and Image Processing, Co-Editor for the 3rd International Workshop on the Analysis of Multi-Temporal Remote Sensing Images, Guest Editor - Pattern Recognition Letters and JSTARS, and Co-Chair - Workshop on Pattern Recognition for Remote sensing (2008-2010).
Abstract: Earth Observations (EO) data are obtained from a multitude of sources and requires tremendous efforts and coordination among researchers and user groups to come to a shared understanding on a set of concepts involved in a domain. The ultimate goal of any EO system is to provide understanding, which will often require expertise and/or data sources from globally distributed resources, thus presenting unique challenges. To address these challenges, it is incumbent upon the global community to evolve and sustain a global observation network. These observations serve as the foundation for the models that are used to describe Earth processes. As this observational data accumulates in global archives, new opportunities become available for knowledge discovery about the Earth system. However, access to these observational data is optimized for the science teams for whom the instruments were launched and access by operational users may be problematic. This presentation will lay out some of the challenges for those engineers and scientists involved in pattern recognition in the Earth remote sensing arena. It describes the problem space for making decisions and introduces the concept of contextual remote sensing.