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