At the Laboratory of Artificial Intelligence and Multi-Agent Systems our research is focused on the development of models and architectures for single- and multi-agent systems endowed with artificially intelligent behavior, on the one hand, and on ambient intelligence, smart web services, and web agents, on the other hand.Details
The Center for Advanced Research in Applied Informatics (CAIA) at University of Craiova, lead by Prof. Ion Iancu, Ph.D., has as main research interests the following domains: Data Mining, Decision Support Systems, Natural Language Processing, Evolutionary Computation, Support Vector Machines and Artificial Neural Networks.
The Centre for Research in Informatics within West University of Timisoara focuses on Distributed and High-Performance Computing, Theoretical Informatics, Intelligent Systems and Computational Intelligence. The centre is lead by Prof. Viorel Negru, Ph.D.
The Automation and Computer Science Research Centre within Politechnica University Timisoara is lead by Prof. Eng. Stefan Preitl, Ph.D. The centre focuses on Relational Databases implemented in High Performance Computers, Pattern Classification and Recognition, Cognitive Models with Applications in Psichology, Speech Recognition.
The Pattern Recognition and Image Processing Group at the Ştefan cel Mare University of Suceava, lead by Prof. Eng. Stefan-Gheorghe Pentiuc, Ph.D., focuses on advanced methods for Pattern Recognition and Image Processing, Distributed Artificial Intelligence and Robotics.
The Artificial Intelligence and Bioinformatics Research Group, lead by researcher Liviu Badea, Ph.D., has as main areas of interest Machine Learning, Data Mining, Inductive Logic Programming, Multi-relational Learning, Bioinformatics, Semantic Web,Image Processing, Knowledge Representation and Expert Systems.
The Computational Learning and Visual Perception (CLVP) Research Group , lead by Prof. Cristian Sminchisescu, Ph.D., focuses on theoretical and applicative aspects of computational learning and visual perception.Details
The Artificial Intelligence Group at the University of Bucharest, lead by Prof. Denis Enachescu, Ph.D., has as main areas of interest Computer Vision, Augmented Reality, Monte Carlo methods , Statistical Pattern Recognition, Spatial Statistics and Machine Learning.
The Knowledge Engineering Group (KEG), lead by Prof. Rodica Potolea, PhD, is addressing problems for knowledge extraction, representation, storage and management that the information era has brought in various segments of human activity due to data overload.
The main fundamental theoretical aspects our group focuses on are: dealing with problem-specific features extraction from both structured data, pre-processing techniques for handling noisy and/or incomplete data, learning from balanced/unbalanced and structured/unstructured data.Details