Conference proceedings will be published by IEEE computer Society


Invited Speakers

Guest of Honour
F.C.Kohli , India

F.C. Kohli is an Indian businessman. He is frequently referred to as the "Father of the Indian Software Industry". He was the first General Manager of Tata Consultancy Services, a leading Indian software consultancy company. He has also worked as the Deputy General Manager of the Tata Power Company. F.C. Kohli did his BA and B.Sc. (Hons) from Punjab University, Lahore. He completed his B.Sc. (Hons) in Electrical Engineering from Queen's University, Canada(1948), and subsequently did his MS in Electrical Engineering from MIT(1950). He was also Director at various places like Tata Infotech Ltd., Bradma of India Ltd., WTI Advanced Technology Private Ltd., Tata Elxsi (I) Ltd., Tata Technologies (Pte) Ltd., Singapore., Triveni Engineering Works Ltd., HOTV Inc., USA., Engineering Analysis Center of Excellence Pvt. Ltd., eBIZ Solutions Ltd., Edutech Informatics India (P) Ltd., Technosoft SA, Switzerland., Sun F&C Asset Management (I) Pvt. Ltd., Aerospace Systems Pvt. Ltd., Media Lab Asia Ltd. He has been awarded the Padma Bhushan, India's third-highest civilian honour, for his contribution to the Indian software industry. He has also has been awarded honorary degrees from University of Waterloo, Canada, Robert Gordon University, U.K, IIT Bombay, IIT Kanpur, Jadavpur University, Queen's University and University of Roorkee. He is also a fellow of IEEE USA, IEE UK, Institution of Engineers India, and Computer Society of India among others.

Other awards and honours:

  • Dadabhai Naoroji Memorial Award, 2000.
  • Lifetime Achievement Award for Management, All India Management Association (AIMA), 2002.
  • Gold Medal and Cash Award for paper on 'Economics of Long Distance, Extra High Voltage Transmission Lines.
  • Gold Medal from Central Board of Irrigation and Power, for the best paper on 'Inter-System Contracts and Organisational Requirements for Economic Operation of Inter-connected Systems'.
  • Dr. V. M. Ghatge prize for lecture on 'Automation in Power Systems Operations'.
  • Institute of Electrical and Electronics Engineers Centennial Gold Medal "for extraordinary achievement and deserving of special recognition".
  • Scroll of Honour from the Institution of Engineers, "for profound dedication to the progress and advancement of the engineering fraternity".
  • Electronics Man of the Year Award, The Electronic Component Industries Association, 1989.
  • Lifetime contribution to information technology, Dataquest, 1995.
  • QIMPRO Platinum Standard Award (QIMPRO Foundation) for Outstanding Contribution in the field of Quality, 1999.
  • National Award, Delhi Telugu Academy, 2000.
  • Juran Quality Award, Indian Merchants Chamber, 2000.
  • Lifetime Achievement Award, Indian National Academy of Engineering, 2000.
  • Business Leadership Award, Madras Management Association, 2000.
  • Lifetime Achievement Award, World HRD Congress, 2001.
  • Vocational Excellence Award, Rotary Club of Mumbai Downtown, 2001.
  • National Citizens Award, "for outstanding contribution in the field of Information Technology", 2001.
  • Lifetime achievement award, The Economic Times, 2002

    Jeng - Shyang Pan , Taiwan

    Jeng-Shyang Pan received the B. S. degree in Electronic Engineering from the National Taiwan University of Science and Technology in 1986, the M. S. degree in Communication Engineering from the National Chiao Tung University, Taiwan in 1988, and the Ph.D. degree in Electrical Engineering from the University of Edinburgh, U.K. in 1996. Currently, he is a Professor in the Department of Electronic Engineering, National Kaohsiung University of Applied Sciences, Taiwan. He is also invited to be the Doctoral advisor both in University of South Australia and Harbin Institute of Technology. He has published more than 370 papers in which 92 papers are indexed by SCI. He is the IET Fellow, UK and the Tainan Chapter Chair, IEEE Signal Processing Society. He jointed the editorial board of International Journal of Innovative Computing, Information and Control, LNCS Transactions on Data Hiding and Multimedia Security, International Journal of Hybrid Intelligent System , ICIC Express Letters, International Journal of Computer Sciences and Engineering Systems, and Journal of Information Hiding and Multimedia Signal Processing. His current research interests include soft computing, information security and signal processing.

    Lecture Topic : Bio-inspired Information Hiding

    With the widespread use of Internet and wireless networks, and the blooming growth in consumer electronic devices and advances in multimedia compression techniques, multimedia streams are easily acquired nowadays. Hence, how to achieve copyright protection of the above-mentioned multimedia contents, and how to effectively hide additional data into such digital contents as another means for protecting the intellectual property, has become an important issue. People learn a lot from Mother Nature. Applying the analogy to biological systems, we are able to handle the challenges in the algorithm and application for information hiding. As we know, there are several parameters that need to be carefully selected when designing an information hiding algorithm. These parameters, to cite some, include: the quality of the multimedia content with hidden data embedded, the number of bits that can be hidden, the security for delivering the multimedia content, and the capability to withstand the intentional or unintentional signal processing, called attacks. These parameters have their own limitations, and they might have conflict to one another. For instance, hiding more bits into the digital contents may degrade the perceptual quality to some extent. Based on this observation, bio-inspired optimization techniques, including evolutionary algorithms (EA) and neural networks (NN), are employed to help solve the problem relating to information hiding.


    Chengqi Zhang , Australia

    Chengqi Zhang received PhD degree from the University of Queensland, Brisbane, and a DSc degree (Higher Doctorate) degree from Deakin University, Geelong, all in Computer Science. He worked at the University of New England in Australia, Deakin University , the University of Technology, Sydney . Now he is the Director of UTS Research Centre for Quantum Computation and Intelligent Systems. His research interests include "Multi-Agent Systems" and "Data Mining". He is currently a Chief Investigator in Data Mining Program for Australian Capital Markets on Cooperative Research Centre. He is also a Member of the IEEE Computer Society (IEEE), Australian Computer Society (ACS), Association for the Advancement Artificial Intelligence (AAAI). He is Editor of the editorial board for IEEE Transactions on Knowledge and Data Engineering. Web Intelligence and Agent Systems: An International Journal (IOS Press). a special issue for IEEE TKDE special issue for International Journal of Software and Informatics..

    Title: Knowledge Discovery from Multiple Databases

    Speaker: Prof. Chengqi Zhang, University of Technology, Sydney (Australia)

    As data collection sources and channels continuously evolve, mining and correlating information from multiple information sources has become a crucial step in knowledge discovery. This is because data from different sources usually carry unique view of the current observations, the correlation among information sources can be beneficial in bringing a decision model with global view. In addition, useful information such as pattern trends and evolving rules, which are hidden in each individual data source, are difficult to obtain by examining only one individual data source. It often requires a systematic comparison and correlation analysis among the data in order to discover patterns shared by all, as well as providing such patterns' specific trends across the underlying data sources. In this talk, I will briefly address two important issues for knowledge discovery from multiple databases: Inter-pattern discovery from multiple databases, and multi-source cooperative learning. For intern-pattern mining, we consider the problem of discovering pattern trends or evolving rules across multiple databases, so users can gain high-level understanding on the differences between data collections. For multi-source cooperative learning, we consider multi-source disparate data, and the propos is to organize heterogeneous data sources into a global view for cooperative learning. Experimental results will demonstrate the effectiveness and efficiency of the proposed data mining approaches for knowledge discovery from multiple databases.


    Andre C P L F de Carvalho , Brazil.

    Prof. Andr C. Ponce de Leon F. de Carvalho received his B.Sc. and M.Sc. degrees in Computer Science from the Universidade Federal de Pernambuco, Brazil. He received his Ph.D. degree in Electronic Engineering from the University of Kent, UK. Prof. Andr de Carvalho is Full Professor at the Department of Computer Science, Universidade de So Paulo, Brazil. He has published around 60 Journal and 200 Conference refereed papers. He has been involved in the organization of several conferences and journal special issues. His main interests are Machine Learning, Data Mining, Bioinformatics, Evolutionary Computation, Bioinspired Computing and Hybrid Intelligent Systems. He is in the editorial board of several journals and is currently a member of the Brazilian Computing Society, SBC, Council. He is the editor of the SBC/Elsevier textbook series.


    English is the official language of the conference ( Paper and Presentation)