Conference Description
Key Takeaways
- International academic conference covering artificial intelligence, intelligent systems, and computer science research
- Addresses AI applications across agriculture, healthcare, cybersecurity, smart cities, and digital humanities
- Designed for academic researchers, industry practitioners, and technology professionals
- Features main track presentations alongside specialised thematic sessions
- Technically co-sponsored by IEEE with support from multiple European universities and research institutions
Introduction
The 21st Conference on Computer Science and Intelligence Systems (FedCSIS 2026) convenes in Riga, Latvia, from 23–26 August 2026, bringing together researchers and practitioners to present and discuss advances in artificial intelligence and intelligent computing. As AI capabilities continue to reshape industries from healthcare to urban infrastructure, academic forums that bridge theoretical research with practical implementation have become increasingly valuable for both the scientific community and technology organisations seeking to understand emerging developments.
About FedCSIS 2026
FedCSIS operates as a federated conference, combining a broad main track with multiple thematic sessions that allow for both general and highly specialised discussions. This structure enables participants to engage with foundational computer science topics while also exploring niche applications relevant to their specific research interests or industry sectors. The conference serves as a publication venue, with accepted papers contributing to the academic record in computer science and intelligence systems research.
The event receives technical co-sponsorship from IEEE, including participation from the IEEE Computer Society Poland Section. Additional institutional support comes from Riga Technical University, the University of Latvia, Warsaw University of Technology, the Systems Research Institute of the Polish Academy of Sciences, Rzeszów University of Technology, and the University of Technology and Arts in Applied Sciences in Warsaw. The Polish Information Processing Society also contributes to the conference organisation.
Primary Discussion Topics
The main conference track addresses five core areas that reflect current priorities in intelligent computing research. Advanced Artificial Intelligence Approaches encompasses the theoretical and algorithmic foundations driving modern AI systems. Intelligent Data Processing and Infrastructure examines how organisations can manage and extract value from increasingly complex data environments. The intersection of Security of AI and AI for Security has grown particularly relevant as machine learning systems become both targets for adversarial attacks and tools for threat detection.
Intelligence Technologies for Business and Society explores how AI capabilities translate into operational improvements and societal benefits, while Intelligent Software, System, and Service Engineering addresses the practical challenges of building reliable AI-enabled applications.
Thematic sessions extend into domain-specific applications including AI in agriculture, environmental modelling, and digital humanities. Technical sessions cover natural language processing, computational optimisation, numerical algorithms, and programming languages. Applied tracks examine data science applications in health, ecology, and commerce, alongside sessions on IoT systems, smart city technologies, and self-learning systems.
Industry and Academic Collaboration
FedCSIS maintains an industrial track alongside its academic programme, recognising that meaningful progress in intelligent systems often requires collaboration between research institutions and technology organisations. This dual focus addresses a persistent challenge in computer science: ensuring that theoretical advances translate into practical applications while industry experience informs research priorities. The conference includes awards recognising successful industry-academia cooperation, reflecting the organisers’ emphasis on bridging these communities.
Patronage from organisations including the International Rough Set Society, Web Intelligence Consortium, Polish Neural Network Society, European Society for Fuzzy Logic and Technology, and Polish Artificial Intelligence Society indicates the breadth of research communities represented at the event.
Who Should Attend
The conference programme serves academic researchers at all career stages, from doctoral students presenting early-stage work to established professors sharing mature research findings. Industry engineers and practitioners working on AI implementation will find relevant content in both the technical sessions and industrial track. Professionals from research institutes, technology companies, and organisations exploring AI adoption can benefit from exposure to current research directions and networking opportunities with the academic community.
Those working in cybersecurity, data science, software engineering, and related fields will find sessions addressing the intelligent systems dimension of their disciplines, while specialists in application domains such as healthcare, agriculture, or urban planning can explore how AI research applies to their sectors.