CALL FOR PAPERS — 19th Conference on Computer Science and Intelligence Systems FedCSIS 2024 (IEEE #61123)

19th Conference on Computer Science and Intelligence Systems
FedCSIS 2024 (IEEE #61123; SCOPUS; Web of Science)
www.fedcsis.org
Belgrade, Serbia, 8–11 September, 2024 (on-site)
(submission deadline: May 14, 2024)

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, as listed below.

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 (for more details, see conference WWW site):

*    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)
*    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)
*    Scalable Computing (SC)

Keynote Speakers:

Jovanovic, Jelena
University of Belgrade, Serbia
Keynote title: Learning analytics: Challenges and opportunities opened by AI

Kutyniok, Gitta
Ludwig-Maximilians-Universität München (LMU Munich)
Keynote title: Reliable AI: Successes, Challenges, and Limitations

Tolvanen, Juha-Pekka
Metacase, Finland
Keynote title: Languages for non-developers: what, how, where?

Frank, Urlich
University of Duisburg-Essen, Germany
Keynote title: Multi-Level Language Architectures: Fostering Reuse,
Integration and User Empowerment by Allowing for Additional
Abstraction

Professor Zdzisław Pawlak Awards:

Professor Zdzisław Pawlak (1926–2006) has been regarded as one of the
fathers of Computer Science in Poland. His theory of Rough Sets has
been one of the most recognizable contributions made by a scientist in
Poland to the area of Artificial Intelligence worldwide. In his
research, Professor Pawlak has always emphasized the need for
cross-disciplinary, cross-country, and cross-generation cooperation.
In Computer Science, there may emerge a brilliant idea in someone’s
head, but it requires collaborators to make it grow dynamically and
then – a number of subject matter experts, from various fields, to
develop its practical applications.

The following categories of awards are eligible for all paper
submitted to the FedCSIS conference:

+    Best Paper Award (€600): the best out of all papers accepted to
the conference.
+    Young Researcher Award (€400): the best out of papers whereby all
authors are younger than 40 years.
+    Industry Cooperation Award (€400): the best out of papers whereby
there are at least two different authors, one working in academia and
another one in industry.
+    International Cooperation Award (€400): the best out of papers
whereby there are at least two different authors working in
institutions located in two different countries.

We believe that all these categories reflect the principles of
Professor Pawlak’s work. The awards are decided by the Committee of
esteemed scientists, who have had the privilege to know and cooperate
with Professor Pawlak. As already mentioned, all papers – submitted to
all parts of FedCSIS – are eligible. This way, the thematic integrity
of FedCSIS is emphasized. List of past winners is available at the
conference WWW site.

Important dates:

–    Paper submission (no extensions): May 14, 2024
–    Position paper submission: June 2, 2024
–    Author notification: June 18, 2024
–    Final paper submission, registration: July 9, 2024
–    Conference date: September 8–11, 2024

Chair of FedCSIS 2024:

Luković, Ivan
University of Belgrade, Serbia

Honorary Chair of FedCSIS Conference Series:

Maciaszek, Leszek A.
Wrocław University of Economics and Business, Poland and Macquarie
University, Australia

Chairs of the FedCSIS Conference Series:

Ganzha, Maria
Warsaw University of Technology and Systems Research Institute, Polish
Academy of Sciences, Poland

Paprzycki, Marcin
Systems Research Institute, Polish Academy of Sciences, Warsaw and
Management Academy, Poland

Ślęzak, Dominik
QED Software and University of Warsaw, Poland and OnstageAI and DeepSeas, USA

Contact:
secretariat@fedcsis.org

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