• Scheduling theory and resource allocation
  • Computational complexity theory
  • Efficient algorithm design
  • Metaheuristic algorithms and artificial intelligence (simulated annealing, tabu search, genetic algorithms, reinforcement learning, artificial neural networks, etc.)
  • Parallel CPU/GPU and distributed algorithms
  • Decision support systems
  • Optimization in transport
  • Supply chain management
  • Big data
  • Database design
  • Machine placement problems
  • Network traffic control

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