= Research Center in Computer Science (CeRiCS) =
The center groups researchers and PhD students working in one of the following  directions:

=== Cloud Computing, High Performance Computing, and Internet of Things ===
 * Exascale Data Processing
 * Monitoring data-intensive applications
 * Portability in Clouds and open source Platform as a Service
 * Cloud resources management and self-organization in heterogeneous cloud
 * Data-intensive applications
 * Ontologies for Cloud services
 * Cloud governance 
 * HPC service exposure in the Cloud
 * Empirical software engineering for cloud-based applications 
                  
=== Big Data Applications and Data Analysis ===

 * Accelerating applications on clouds and HPC
  * Graph processing
  * Astronomy image processing and object detection
  * Satellite-based image processing
  * Smart grids

 * Hybrid processing on clouds, IoT, and HPC
  * Mixing GPUCPU, edge devices, and clouds for optimizing execution of large scale distributed applications

 * Scheduling algorithms for distributed systems
  * Optimal and suboptimal heuristics with energy, cost and execution constraints


=== Artificial Intelligence and Machine Learning ===

 * 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 
  * Signal and image processing using deep neural networks ([[http://staff.fmi.uvt.ro/~darian.onchis/simtresearch.html|Group - Signal, Image and Machine Learning]])
  * Uncertainty in deep neural networks

=== Applications of Machine Learning in Earth Observation ===
([[https://sage.ieat.ro/|EO+ML Research Group]])
 * Application of advanced computational techniques for Earth Observation problems
 * Big Data Processing platforms (processing of massive Earth observation data) 
 * Machine Learning algorithms in Remote Sensing

=== Cybersecurity ===
 * Blockchain-driven
  * Consensus mechanisms
  * Fraud detection
  * Smart-contracts security
 * Intrusion detection
  * Host and network-based intrusion detection
  * Exact and inexact pattern-matching
  * Malware analysis
   * Static analysis
   * Dynamic analysis
  * Mitigation and recovery
 * Digital/cyber forensics
  * Data/file carving
  * Data mining techniques
  * Trace and log analysis
 * Criminal investigations
  * DNA matching for crime investigations
  * Profiling using DNA analysis

=== Theory of Computing ===
([[http://tcs.ieat.ro/|TCS Research Group]])

 * Algorithms and Computational Complexity
 * Agent-based models, game theory and complex networks
 * Symbolic computation
 * Unification and matching
 * Constraint logic programming
 * Proof-based algorithm synthesis

=== Computational and Applied Mathematics ===
 * Qualitative and quantitative aspects of Dynamical Systems (time-delayed systems, impulsive systems, fractional-order systems)
 * Simulation of fractional-order systems using HPC
 * Analysis of nonlinear and chaotic phenomena in: fractional-order neural networks models, complex-valued neural networks
 * Applications of the theory of dynamical systems to: medicine, neuroscience, aerodynamics, economy