The 2nd Seminar Series for Egyptian Scholars in USA, Canada and Japan

on

Ubiquitous Computing and Intelligence: Challenges and Solutions

Faculty of Computer and Information, Cairo University,

Cairo, Egypt, 20 Dec. 2007 -to- 5  January 2008 

Organized by:

         Introduction: The any place/any time/any means vision of ubiquitous computing has explosive impact on academics, industry, government and daily life. This emergence is the natural result of research and technological advances in wireless and sensor networks, embedded systems, mobile computing, distributed computing, agent technologies, autonomic computing and communication. Many novel but more specific computing mechanisms and paradigms have been recently driven from the broad view of ubiquitous computing, such as pervasive, context-aware, sentient, invisible, disappearing, everyday, wearable, proactive, autonomic, organic, sustainable, handheld, palpable, amorphous, spray, embedded computing, ambient intelligence, etc.

Following ubiquitous computers and networks, is a road towards ubiquitous intelligence, i.e., computational intelligence pervasion in both the physical world and the cyber world. Such right place/right time/right means vision of ubiquitous intelligence will greatly reform our world to create a smart world filled with a variety of embedded intelligence or smart real and virtual things ranging from software to hardware, from man-made artifacts to natural objects, from everyday appliances to sophisticated systems, from small rooms to large buildings, from enclosed sites to open spaces, from stationary places to moveable vehicles, etc. The computational intelligence will not only function as the methods or tools in systems but also result in ubiquitous existence residing in everyday objects, surrounding environments, diverse systems and even ourselves. Such future existence of ubiquitous intelligence calls for re-thinking of the conventional intelligent computing, identifying implications and important issues of the foreseen smart world, and finding corresponding solutions by joint efforts and fusions of multiple disciplines. The ubiquitous intelligence, as an emerging and very promising multidiscipline, aims at new models and technologies for graceful integrations and mutual actions of real worlds and virtual e-worlds with different scales and purposes.
 

Ubiquitous computing encompasses a wide range of research topics, including distributed computing, mobile computing, sensor networks, human-computer interaction, and artificial intelligence. For a list of research labs taking interest in developing this field, see List of ubiquitous computing research centers.

   Special tracks:  

 Track-I:  Image Processing and Computer Graphics and It Applications

The special track will be devoted to the applications of Computational Intelligence techniques with the aim of presenting new and important contributions in the area of image processing and Computer Graphics. These application areas include, but are not limited to, the following:

• Image analysis and scene understanding

• Multimodal and multisensor models of image formation

• Pattern recognition in image processing

• Motion analysis, visual navigation and active vision

• Geometrical and structural models of objects and scenes

• Fractal and chaos theory in image analysis

• Modeling of human visual perception and mental imagery

• Structure reconstruction, 3D imaging and image synthesis

• Infrared, laser etc. imaging

• Visualization and graphical data presentation

• Virtual reality and pictorial interaction

• Pictorial data bases and archivisation

• Computational geometry

• Computer-aided graphic design, arts and animation

• Industrial, medical and other applications

 Track-II Databases for knowledge Discovery

• Data/content dynamic, visulaized constraints and spatiotemporal databases

• Active, Deductive, and Logic Databases

• Audio/Video Database Systems

• Cache and Buffer Management

• Cooperative Database Systems and Workflow Management

• Database Indexing and Tuning

• Data Privacy and Security

Track-III Rough sets and  Applications

• Theoretic Foundations

• Parallel algorithms for Rough set theory

• Rough techniques in Pattern recognition

• Rough techniques to improve Artificial Neural Nets

• Uncertainty and Rough sets

• Algorithms for decision making using  rough sets

• Applications in Biomedical Domains and Business

• Methodologies for developing Decision Support Systems using  rough sets

• Algorithms for Mining gene data bases and biological data bases using  rough sets

• Solving Classification and Clustering problems using  rough sets

• Novel Algorithms using fuzzy or rough sets

• Inductive learning Methods using fuzzy or rough sets

• Lazy-learning and instance-based learning methods based on fuzzy or rough sets

• Integration of fuzzy or rough sets in Case-based reasoning

• Knowledge extraction from texts (Text Mining) using fuzzy or rough sets

• Intelligent data analysis using fuzzy or rough sets

Track IV: Computer Graphics and Animation

Link to the Summer Seminar Series