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Systems Research Institute, PAS

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Name: Systems Research Institute, PAS

Address: ul. Newelska 6, 01-447 Warsaw, Poland

Website: www.ibspan.waw.pl

Description:

The Systems Research Institute was established in 1976, although its roots can be traced back to the early 1950s, when the Polish Academy of Sciences founded the Laboratory of Automatic Control, transformed to the Institute of Automatic Control in the early 1960s, Institute of Engineering Cybernetics at the beginning of 1970s, and Institute of Organization and Management in 1973. Systems Research Institute of Polish Academy of Sciences (SRI PAS) continues an outstanding tradition of a significant centre in mathematical foundations of decision making and systems analysis, in Poland and on the global scale. Since its beginnings, research in mathematical modelling, optimization and optimal control, a heritage of the predecessors of SRI PAS, has been further developed. Another significant research area in this field, which during the Institute’s existence has risen up to the world level, is connected with computational intelligence methodology and applications in decision making systems. Strong positions are occupied, as well, by the teams dealing with modelling of uncertainty and imprecision, and with risk management, using statistical, fuzzy, and possibility methods. The areas of application of the methodological developments in these areas are represented by advanced data analysis, information processing and retrieval,  decision support systems, reliability theory, environmental system analysis and modelling, mathematical finance, local energy systems, IoT, logistics, image analysis, etc. In each of these, the teams of the Institute are well positioned on the international fora.

Disciplines: computer science; control, automation & robotics

Fields of activity: 

  • foundations of computational intelligence (fuzzy logic, rough sets theory, evolutionary computing, neural networks);
  • foundations and applications of artificial intelligence, notably machine learning, problem solving, uncertainty modelling and processing;
  • modern computing and problem solving architectures (multi-agent systems, human-centric decision support, knowledge management, Internet of Things, human-in-the-loop paradigm);
  • decision science and analysis, decision support systems;
  • intelligent methods of information retrieval and data summarization;
  • intelligent methods for systems analysis;
  • application of computational intelligence in decision making, optimization, control and robotics;
  • semantic technologies;
  • efficient management of energy generated by renewable sources to limit greenhouse gas emissions;
  • integrated modelling of air pollution, transport of pollutants and impact of atmospheric pollution on human health;
  • modelling of water resource systems, with emphasis on wastewater purification, quality enhancement and water supply networks;
  • analysis of air pollution policies, supporting negotiations concerning curbing of pollution emissions, creating and maintaining emissions inventories, notably concerning GHG;
  • advanced methods of mathematical modelling, optimization, including non-convex and discrete optimization, and control, with applications in shape optimization, control of complex systems and technological processes.

Latest achievements:

  • theoretical results in computational and artificial intelligence and their application, including linguistic and cognitive approaches to querying, retrieval and knowledge discovery; some extensions to fuzzy logic, granular computing and rough sets theory ;
  • approaches to decision making support, in particular in the group/multiagent context, related to voting and consensus reaching; applications of multicriteria decision making; solutions for new computing architectures, notably IoT;
  • development of new models and tools for environment protection and healthcare applications;
  • results in statistical data analysis and decision making under stochastic uncertainty and fuzziness; new results in cluster analysis;
  • development of the theory and applications of the concept of topological derivative.
  • models in mathematical finance, notably to support stock investment;
  • theoretical results in convex optimization and its applications to image processing;
  • theoretical development of computer methods for planning, modelling and control of water networks and wastewater treatment plants and their implementation in practice.

Research facilities:

well-developed network of collaborating academic institutions all around the world, efficient computer network, fast internet access, library with access to leading publishing houses collections, active collaboration with business organizations and individual companies

Contact person:

Dr. Jan W. Owsiński, DSc
Deputy Director for Research
owsinski@ibspan.waw.pl
(+48 22) 381 02 13