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| ([[http://cer.ieat.ro/| Group - Cloud Enhancing Research on Big Data and Applications]]) | ([[http://cer.ieat.ro/|Group - Cloud Enhancing Research on Big Data and Applications]]) |
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| ([[http://staff.fmi.uvt.ro/~darian.onchis/simtresearch.html|Group - Signal, Image and Machine Learning]]) |
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| === Nature Inspired Computing === | === Computational Intelligence and Nature Inspired Metaheuristics === |
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| * Nature inspired meta-heuristics: ant systems, particle swarm optimization etc. | * Other nature inspired meta-heuristics: ant systems, particle swarm optimization etc. |
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| * Dynamics of neural networks * Membrane computing |
* Neural Networks |
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| * Algorithms and Computational Complexity | |
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* Applications of game theory to theoretical computer science |
* Applications of game theory to theoretical computer science and multiagent systems. |
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* Mathematics of neural networks * Mathematical models in biology |
Research Center in Computer Science
The center groups researchers and PhD students working in one of the following directions:
Parallel Computing
- Parallel algorithms in numerical analysis, optimization, evolutionary computing, data mining, computational geometry, and computer graphics
- Applications of parallel computing to computational fluid dynamics in crystal growing or airfoil design, Web or medical data mining
- Scheduling techniques and scalability for HPC
Distributed Computing
(Group - Cloud Enhancing Research on Big Data and Applications)
- Building Web and Grid services platforms
- Applications of distributed computing to image processing in Earth observation, and to symbolic computing
- Cloud computing and sensor networks
- Workflow design and execution
- Task scheduling
Artificial Intelligence
(Group - Signal, Image and Machine Learning)
- Intelligent systems
- Multi-agent systems
- Knowledge discovery
- Recommender systems
- Automated reasoning
- Intelligent ambient
- Applications of artificial intelligence to e-commerce, scientific computing and medicine
- Self-adapting and self-healing systems
Computational Intelligence and Nature Inspired Metaheuristics
- Evolutionary algorithms in optimization and data mining
- Other nature inspired meta-heuristics: ant systems, particle swarm optimization etc.
- Neural Networks
Theoretical Computer Science
- Algorithms and Computational Complexity
- Probabilistic methods and algorithms
- Applications of game theory to theoretical computer science and multiagent systems.
- Interconnections of physics (mostly complex systems) and theory of computing
- Logic and its interconnections with symbolic computing and computational complexity
- Automated theorem proving
- Formal languages and its interrelation with XML processing
Computational Mathematics
- Numerical methods for nonlinear equations
- Estimation of stability domains
- Mathematical models in crystals growth and nano-technology
- Computational methods in flight control
- Mathematics of neural networks
- Mathematical models in biology