1. Distributed Computing Systems – technologies; architectures; models; operation and optimization; middleware and services.
  2. Research Infrastructure – networking; computing centre infrastructure; facility integration of heterogeneous resources; monitoring; decision support and management tools.
  3. Computing for MegaScience Projects (LHC, NICA, FAIR, SKA, PIC, XFEL, ELI, etc.)
  4. Distributed Computing Applications – in science; in education; in industry and business.
  5. HPC – supercomputers; CPU architectures; GPU; FPGA; HPC applications.
  6. Data Management, Organisation and Access databases; distributed storage systems; data lakes.
  7. Virtualization – cloud computing; virtual machines; container technologies.
  8. Quantum information processing - Quantum machine learning; Quantum computing for HEP; Quantum communication; Quantum internet; Simulation of quantum information processing.
  9. Big Data Analytics and Machine Learning.
  10. Distributed computing, HPC and ML for solving applied tasks.