Institute for high performance computing and networking (ICAR)


Knowledge Science and Engineering
o data warehousing, advanced OLAP and database systems, spatio-temporal databases, GIS technologies
o data mining and knowledge discovery: clustering on graphs and sequences for personalization, co-clustering of high-dimensional data, non-linear optimization for classification, anomaly detection, information extraction, spatio-temporal data mining
o privacy and security in OLAP analysis and data nel mining
o workflow mining and process discovery: analysis of frequent process patterns, clustering for process ontology construction
o continuous stream data analysis: querying, aggregation, clustering, classification
o management, integration, compression and update of XML data
o knowledge formal representation models
o neural networks and machine learning for sensorial data processing
o linking between perceptual data and semantic and linguistic representations
o robotic applications, autonomous intelligent systems, multi-agent architectures and systems, bio-inspired systems
o models of interaction between software agents and human users
o intelligent multi-agent systems: integration of software engineering and knowledge engineering techniques
o artificial intelligence and machine learning techniques for the interpretation of biological data
o self organizing neural networks for visualization and unsupervised clusterization of genomic and molecular data
o web-based applications for the design, processing, and integration of biological databases
o design methodologies for multi-agent systems allow the simulation of the biological systems
o data warehousing and mining for logistics applications

Intelligent distributed systems, high performance computing and innovative computing paradigms
o methodologies, technique and algorithms for grid computing and peer-to-peer systems
o artificial intelligence techniques for the delivery of intelligent grid and peer-to-peer services
o intelligent problem solving environments (PSE) on grids
o modelling, management and enactment of dynamic, adaptive workflows on grids based on decentralized and self-organizing algorithms
o middleware for grid environments
o deployment and maintenance of computational grids.
o techniques and algorithms for sensor network data management
o efficient, highly scalable algorithm on parallel and distributed architectures for compute-intensive applications
o innovative hardware and software architectures, particularly suited for bioinformatics applications
o algorithms and software for compute and data/intensive applications, by using the paradigms, the tools and the environments for High-Performance Scientific Computing
o numerical algorithms and software for large-scale applications such as simulation of clean engines, simulation of aerodynamic and environmental flows, image processing
o mathematical models and software modules for the analysis of genomic, proteomic and transcriptomic data
o techniques and tools based on Evolutionary Algorithms for optimization, modelling and rule discovery needed to implement "user-friendly" tools
o innovative models for Evolutionary Algorithms, advanced representations and operators essential to model, optimize and automatically adapt pervasive systems

Multi-dimensional Media and Multi-Media Content Analysis
o Human-Centred Computing (HCC) for modelling and realizing artificial systems supporting various human activities (e.g. software engineering, human-computer interactions, virtual reality, ubiquitous computing, social sciences, cognitive sciences, etc.).
o architectural models, services and environments for HCC applications
o methods, tools and architectures for user-friendly, pervasive, highly immersive environments
o middleware dor pervasive, multimodal systems
o management and visualization of three-dimensional and stereoscopic data
o localization and tracking systems based on RFID technology
o algorithms for processing images and image sequences
o ontology and software environments for reasoning on images
o semantic representation of videos and images
o methodologies, operators and metrics for computer-aided videoand image retrieval by contents and using their semantic description
o development of prototypes and CAE software platforms to support hypermedia authoring
o advanced image segmentation techniques or biomedical images processing
o content-based indecing methodologies for supporting search on biomedical images