The mission of the FedCSIS Conference Series is to provide a presentation, discussion and a reputable publication forum in computer science and intelligence systems. The forum invites researchers and practitioners from around the world to contribute their research results focused on their scientific and professional interests in a chosen area.

The FedCSIS conference consists of the Main Track and Thematic Tracks. Papers submitted to the Main Track can be assigned, by their authors, to Topical Areas, which are managed by Topical Area Curators. Based on the scope of the contribution, Topical Area Curators select its reviewers from the Main Track Program Committee. Besides the Main Track, the authors may prefer to submit their papers to Thematic Tracks, which announce their own Calls for Thematic Track Papers and are assisted by the FedCSIS Chairs in reaching out to the FedCSIS Community.

For all five Topical Areas, situated within a general domain of Computer Science, the continually emerging topic of Intelligence Systems stands as the common denominator. All Thematic Tracks also refer to the Intelligence Systems from different perspectives. They are regarded as a path toward introducing more Intelligence into Computer Science and IT.

Main Track

    Topical Area 1: Advanced Artificial Intelligence in Applications
    Topical Area 2: Computer Science & Systems
    Topical Area 3: Network Systems and Applications
    Topical Area 4: Information Technology for Business and Society
    Topical Area 5: Software, System and Service Engineering

Thematic Tracks

The following Thematic Tracks are confirmed for FedCSIS 2024:

    Advances in Programming Languages (APL)
    AI in Agriculture (AgriAI)
    AI in Digital Humanities, Computational Social Sciences and Economics Research (AI‑HuSo)
    Application of Disruptive Technologies for Society 5.0 (ADTS)
    Challenges for Natural Language Processing (CNLPS)
    ​​​​Complex Networks – Theory and Application (CN‑TA)
    Computational Optimization (CO)
    Computer Aspects of Numerical Algorithms (CANA)
    Data Science in Health, Ecology and Commerce (DSH)
    Industrial Cyber-Physical Systems and Software Agents (ICPS‑SA)
    Information Systems Management (ISM)
    Internet of Things – Enablers, Challenges and Applications (IoT‑ECAW)
    Knowledge Acquisition and Management (KAM)
    Model Driven Approaches in System Development (MDASD)
    Meta Environment for Citizens, Business and Entertainment (MECBE)
    Multimedia Applications and Processing (MMAP)
    Recent Advances in Information Technology – Doctoral Symposium (DS‑RAIT)
    Resilience in Critical Infrastructures and Systems (RCIS)
    Rough Sets: Theory and Applications (RSTA)
    Self Learning and Self Adaptive Systems (SL-SAS)
    Scalable Computing (SC)