About the Institute

Institute of Theoretical and Applied Informatics, Polish Academy of Sciences is a research institute whose science activity concentrates in the area of Information Technology. The Institute is also involved in training an advanced level technical and scientific staff and both initiates and participates in projects aimed at development of innovative commercial sector. ITAI takes part in realization of Polish Academy of Sciences' mission of advancement promotion, integration and dissemination of Polish science and contributes to education and national culture.

  • The Institute is co-organizing the International Symposium on the Modeling, Analysis, and Simulation of Computer and Telecommunication Systems (MASCOTS 2023) conference, which will take place on October 16-18, 2023 in Wang Center, Stony Brook University, Stony Brook, NY, USA.

  • The National Science Centre has announced the results of the OPUS 24 and SONATA 18 competitions. We are pleased to announce that one of the projects qualified for funding is the project in the OPUS competition "Optimal and probabilistic learning of quantum operations quantum operations", led by Z

  • Date: 

    18/05/2023 - 11:00

    Speaker: 

    Jerry Chun-Wei Lin

    Prof. Jerry Chun-Wei Lin will speak about  Intelligent Pattern Analytics: Utility-Oriented Concept.

  • Date: 

    03/04/2023 - 11:00

    Speaker: 

    Piotr Sionkowski, BiOSS group

    Time series analysis is an important field of data engineering. In this seminar we present the statistical method dedicated to time series analysis, provided the series mimic some form of the complex physical system. The method uses recurrence plot and Hurst exponent approaches. So far, the method was used for data related to molecular dynamics and climate (temperature) observations. Hence, our method tackles very important climate changes issue.

  • Wizja Komputerowa i Transfer Learning w Inspekcjach Betonowych Obiektów Mostowych
    Wizja Komputerowa i Transfer Learning w Inspekcjach Betonowych Obiektów Mostowych
    Optimization of deep learning network architectures for hyperspectral data classification
    Optimization of deep learning network architectures for hyperspectral data classification

    We are pleased to inform you that two doctoral defenses of our young researchers took place last week.

  • We are exited to inform you that the Institute of Theoretical and Applied Informatics of the Polish Academy of Sciences has joined the IBM Quantum Innovation Center established by the Poznan Supercomputing and Networking Center.

  • We are pleased to inform you that for Poland and our IITIS-PAN Institute's reputation, in 2023 our staff member Professor Erol Gelenbe has been ranked in 2023: 

    - No. 1 in Electrical Engineering and Electronics in Poland

  • Date: 

    07/03/2023 - 10:00

    Speaker: 

    Krisztian Buza, Institute Jozef Stefan

    The prediction of interactions between drugs (medicines) and pharmacological targets (proteins) is one of the most prominent applications of machine learning it the pharmaceutical industry. From the theoretical point of view, the task is to predict unknown links in a bipartite graph. Compared with standard link prediction, in case of drug-target interaction prediction, additional information is available, such as the similarity between pairs of drugs and the similarity between pairs of targets.

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