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.

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

Lecture Topic : Bio-inspired Information Hiding
Abstract:-
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)

Abstract:
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.

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.

 

Tutorial Session Speaker

Gerald Schaefer , UK

Gerald Schaefer gained his BSc. in Computing from the University of Derby and his PhD in Computer Vision from the University of East Anglia. He worked at the Colour & Imaging Institute, University of Derby (1997-1999), in the School of Information Systems, University of East Anglia (2000-2001), in the School of Computing and Informatics at Nottingham Trent University (2001-2006), and in the School of Engineering and Applied Science at Aston University (2006-2009) before joining the Department of Computer Science at Loughborough University. His research interests are mainly in the areas of colour image analysis, image retrieval, medical imaging, physics-based vision, and computational intelligence. He has published extensively in these areas with a total publication count exceeding 200. He is a member of the editorial board of several international journals, reviews for over 30 journals and serves on the programme committee of over 60 conferences. He is also the organizer of several international workshops and special sessions at conferences.


Title: Visualisation and browsing of large image databases: Challenges and Approaches

Speaker: Gerald Schaefer , UK

Abstract:
Image collections, both personal and commercial, are growing very rapidly. Consequently, methods for managing large image databases are highly sought after. In this paper, we look at various way to visualise and interactively browse image collections. In general, we can divide image database visualisation approaches into three categories: mapping-based techniques which typically employ dimensionality reduction algorithms, clustered visualisations which group, often in a hierarchical manner, similar images, and graph-based approaches where links between images are exploited to arrive at an intuitive display of the dataset. Once displayed, the user should be able to browse through the collection in an interactive, intuitive and efficient manner. Such browsing can be achieved in several ways. Horizontal browsing navigates through images of the visualisation plane, and includes operations such as panning, zooming, magnification and scaling. In contrast, vertical browsing allows navigation to a different level of a hierarchically organised visualisation.

 

Tutorial Session Speaker

Dr. Dipankar Dasgupta , USA

Dr. Dipankar Dasgupta is a Professor of Computer Science at the University of Memphis, Tennessee, USA. His research interests are broadly in the area of scientific computing, tracking real-world problems through interdisciplinary cooperation. His areas of special interests include Artificial Immune Systems, Genetic Algorithms, multi- agent systems and their applications. He published more than 165 papers in book chapters, journals, and international conferences. His recently authored a graduate textbook on Immunological Computation, published by CRC press, September 2008. He also edited two books: one is on Genetic Algorithms and the other entitled "Artificial Immune Systems and Their Applications" published by Springer-Verlag, 1999. The book on Artificial Immune Systems is the first book in the field and widely use as a reference book. Dr. Dasgupta is a senior member of IEEE, ACM and regularly serves as panelist, keynote speaker and program committee member (5-6 per year) in many International Conferences. He first started (in 1997) organizing special tracks and workshops on Artificial Immune Systems (AIS) and regularly offered tutorials on the topics at International Conferences since then. He is an associate editor of three journals and also is the chair of IEEE Task Force on Artificial Immune Systems.


Title: Immunological Computation

Speaker: Dr. Dipankar Dasgupta , USA

Abstract:
Among all Bio-Inspired computational models, Immunological Computation sometimes referred to as Immuno-computing or Artificial Immune Systems (AIS) emerging as useful tools for solving science and engineering problems. In general, some of such models are intended to describe immunological processes for a better understanding of the dynamical behavior of the immune system in the presence of antigens. On the other hand, immunity-based models have been developed in an attempt to solve wide variety of real-world problems. In this tutorial, an up-to-date review and progress of AIS techniques, particularly, negative selection (NS) algorithms, an important type of AISs), will be presented in details. Accordingly, following its initial model, the fundamental characteristics of this family of algorithms and their variations will be summarized. The tutorial will also cover the limitations and applicability issues of NS Algorithms, and how NS relates to danger theory. In addition, the relationship and possible combinations with other artificial immune systems (AISs) and machine learning methods will be briefly discussed and a few engineering applications.

 

Invited Speaker

MURAI Koji , Japan

Dr. Koji Murai is Professor at Kobe university, Japan. He was also associated with KUMM, Department of Maritime Science as a research associate, Yuge National College of Maritime Technology, Osaka University, Maine Maritime Academy, Marine Transportation Prof Koji Murai was session Chair at Human, IEEE-SMC2002, Humans and Machines II, IEEE-SMC2003 ,Track Chair, Track: Information in the Oceanology- Special Session: Maritime Navigation, IEEE-SMC2006,Session Chair, Humans and Transportation Systems, IEEE-SMC2007, Chair, IEEE SMCS TC on Human Centered Transportation Systems ,Session Organizer, Track on Human Centered Systems, IEEE-SMC2008 ,Co-Chair SS, Human Centered Transportation Systems, IEEE-ISCE2009 .


Title: Evaluation of Mental Workload for Ship Handling Using Physiological Indices

Speaker: Prof. MURAI Koji , Japan

Abstract:
This paper describes the evaluation of mental workload of specialists for ship handling. We evaluate the specialists performance using a real ship. We show the effect of physiological indices from the specialists performance and the characteristics of their mental workload with heart rate (heart rate variability: R-R interval), nasal temperature and salivary amylase activity. In this paper, we confirm whether the response to their performance for the ship handling is clear or not.

 

Invited Speaker

Dr.Shubhalaxmi Kher , USA

Dr. Shubhalaxmi Kher is working as Assistant professor of Electrical Engineering at Arkansas State University. She was a post doctoral researcher for over 4 years at Iowa State University before joining Arkansas State University in Fall 2008. She served in various positions like Associate Professor, Professor, and Chair of Information technology at SGSITS, Indore, India and has over 21 years of academic experience.

She has to her credit over 60 research papers in International refereed conferences and journals. She chaired sessions in International conferences like, ICAUTO 95 (India), SICE 98, 99, 2000 (Japan), IEEE-ACM 2003 (India), IPCCC06 Phoenix, USA, ICETET 2008, Nagpur, (India). Her research interests are Wireless sensor networks, Fuzzy logic, Granular Computing, Bioinformatics, and Distributed algorithms.

Dr. Kher is a Fellow of IETE, India since 2000, Senior member IEEE, USA (IEEE) since 2000, Member of Computer Society of India (CSI), Life member of Institute of Engineers, India (IE) since 1987, Life member of Indian Society for Technical Education (ISTE) since 1987, member of WIE. She is actively involved in IEEE activities and served as Treasurer of IEEE Central Iowa Section 2008, as Chair of -IEEE MP, India Subsection for 2002, 2003, & 2004. She is listed in Marquis Who's who in Engineering 1998/1999. Dr. Kher is a Reviewer for many conferences and journals. She is serving the advisory committee for international conference ICWET, 2010, Mumbai, India

Topic: Energy Efficient routing protocols for WSN in distributed networks

Speaker: Dr.Shubhalaxmi Kher , USA

Abstract:
Wireless sensor network consists of a number of small sensing nodes that communicate with one another in a wireless fashion. The sensing nodes are energy constrained and have sensing, processing, and communication ability. The role of the nodes in the network is to sense their surroundings for special events and send their data to a single destination, the base station. This is the traditional scenario of a sensor network. Traditional adhoc routing protocols cannot be applied to this scenario since adhoc routing protocols do not take into account the fact that a node contains only a limited energy supply. For sensor networks, the prime consideration is network (system) lifetime with optimal routing. In an energy constrained wireless sensor network, optimal routing selects better routes based on the nodes location, transmit energy, and the residual battery capacity to maximize the duration over which the sensing task can be performed. Wireless sensor network research is focused on 1) providing alternative battery recharging and 2) efficiently increasing the sensor network lifetime using either a distributed or centralized control depending on the application. This talk will cover various WSN issues like energy efficiency, location awareness, traditional protocols, their limitations etc. in the context of an application. It presents a review of the state-of-the- art developments in wireless sensor systems, wireless gateways, specific designs, customization, availability, portability, etc.

 

Invited Speaker

Dr. Lalit Patnaik , India

Dr. Lalit Patnaik received Ph.D. degree and D.Sc. (IISc) from Bangalore India. His Fields of Specialization is Computer Science & Engineering, Information Technology and Electronics.
He is a Vice Chancellor of Defence Institute of Advanced Technology, (DIAT) Pune, India. He has huge number of Technical paper publications over 680 in his account.

Dr. Lalit Patnaik has also achieved 22 awards. Some major awards are :"Distinguished Engineer Honour", Institution of Engineers Karnataka State Centre, Bangalore, "Alumni Award for Excellence in Research for Engineering", Indian Institute of Science, 2003IEEE Computer Society's "Meritorious Service Award", "FICCI Award" for Innovation in Material Science, Applied Research and Space Science, , "Indira Gandhi Sadhbavna Award" of the National Integration and Economic Council, Bharat Jyoti Award of the Indian International Friendship Society, Pandit Jawaharlal Nehru National Award for Engineering and Technological Sciences, "First SVC Aiya Memorial Trust Award for Telecommunication Education", 2000, IEEE Computer Society's ", Technical Achievement Award" IEEE Computer Society's "Certificate of Appreciation as a Distinguished Visitor", "Distinguished Professional Engineer", Award of the Computer Engineering Division of the Instituion of Engineers(India), "Hands for Indian IT Award" He has fellowship of various societies like IEEE, TWAS, INAE, CSI, IETE, IE, INSA, IAS, NAS.

His current research interests include Computer Architecture,Parallel & Distributed Computing, CAD of VLSI Systems, Real-Time Systems, Soft Computing, Engineering Applications of Information Technology , Mobile Computing