Activities

Department

News

Artificial Intelligence and Machine Learning

Research Empowers Us

Description

  • Multi-agent approaches and recommender systems:
    • health monitoring and healthcare systems
    • customer-relationship management
  • Machine learning techniques for:
    • knowledge extraction from data (medical, biological, financial)
    • intrusion and anomaly detection
    • prediction for auto-scaling of resources in distributed systems
  • Metaheuristic algorithms for:
    • scalable cloud resource allocation
    • model inference and parameter estimation in biological systems
  • Explainable Artificial Intelligence

Researchers

Daniel Pop

Knowledge discovery; Big data; High performance computing

Daniela Zaharie

Evolutionary computing; Nature-inspired metaheuristics; Machine learning; Data mining

Darian Onchiș

Signal and image processing; Bioinformatics; Machine learning

Flavia Micota

Evolutionary computing, Bio-inspired metaheuristics

Gabriel Iuhasz

Multiagent systems; Machine Learning; Cloud Computing; Strategic games

Horia Popa

Knowledge discovery; Recommender systems

Liviu Mafteiu Scai

Parallel computing, Numerical methods, Metaheuristics

Mihail Găianu

Computational geometry; Image processing

Monica Sancira (Tirea)

Multiagent systems; Financial modeling

Petru Radu

Computer vision; Biometrics

Sebastian Ștefănigă

Image Processing; High Performance Computing; Medical Informatics; Machine Learning

Todor Ivascu

Multi-agent Systems; e-Health Systems; Machine Learning

Viorel Negru

Intelligent systems; Multi-agent systems

Dissemination