Research directions

Our research can be broadly organizined into three core areas listed below, with growing interdisciplinary interactions between them.

Research Area 1: Computing, Information Systems and Applied Informatics

Data Science and High Performance Computing

  • Parallel algorithms and application of high performance computing
  • Big data mining, machine learning and applications
  • Development and applications of decision support systems

Information and Knowledge Systems

  • Information and knowledge technologies, knowledge management
  • Text mining and analysis, models of knowledge networks
  • Information systems, information security and risk assessment 

Research Area 2: Complex Systems and Graph theory

Fundamentals of Complex Systems

  • Mathematical modeling and algorithmic aspects of real complex systems
  • Structural invariants and quantitative analysis of complex networks
  • Inverse problems of network reconstruction from empirical data

Complexity in Nature and Society

  • Computational modeling and analysis of complex systems in nature and society
  • Mechanisms of self-organization in complex systems
  • Simulation and analysis in manufacturing, logistics, transport and service systems
  • Discrete, continuous and agent-based models of organizational and environmental systems

Graph Theory, Algorithms and Optimization

  • Chromatic, structural and combinatorial graph theory
  • Graphs as data structures, measures of computational complexity
  • Meta-heuristic and genetic algorithms, ant colonies

Research Area 3: Development Studies

Economic Development

  • Socio-cultural aspects of economic development, regional systems of innovation, role of ethnicities and minorities, social roles and costs of gambling
  • Social aspects of industrial symbiosis, modeling and simulation of symbiosis networks
  • Fuzzy-set qualitative comparative analysis, interviews and focus groups, media analysis, computational and mathematical sociology

Political Development

  • Social systems theory, character of political systems, role of political actors and elites
  • Political and societal steering under the conditions of high complexity
  • Democratic mechanisms and social risks
  • Structure and role of public administration
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