Forthcoming Events

The SAIFA Consortium is glad to announce its participation in the DeepTech & Innovation Online School organized by the  A-SIDE project, which aims at enhancing the quality and competitiveness of European higher education, as part of the EIT HEI Initiative programme.

A-SIDE infrastructure is an EU hub for innovation and entrepreneurship in the Deep Tech focus area of advanced manufacturing, advanced materials, as well as in AI and Machine Learning including Big Data. 

More about the event can be found at the Sustainable Product Design in a Digital Age Online School, October, 19-23,  2026 – A-SIDE.

About the EIT’s HEI Initiative

EIT LogoThe EIT’s HEI Initiative: Innovation Capacity Building for Higher Education was launched by the European Institute of Innovation and technology (EIT) and is led by EIT RawMaterials − one of the EIT’s Knowledge and Innovation Communities.

Agentic AI refers to Artificial Intelligence (AI) systems designed to function as autonomous or semi-autonomous agents. Such systems can understand high-level goals, decompose them into actionable tasks, and execute these tasks with minimal human intervention. While Generative AI (GenAI) and general-purpose agents have demonstrated impressive capabilities in recent years, deploying these systems in specialized domains such as healthcare, energy, finance, legal practice, software engineering, and industrial robotics reveals significant challenges related to domain accuracy, reliability, compliance, and trustworthiness.

The 1st International Workshop on Domain-Specific Agentic AI (DSAAI 2026) is organized in conjunction with the 8th International Knowledge Graph and Semantic Web Conference (KGSWC 2026) at the Institute Mihajlo Pupin, University of Belgrade, Serbia, November 16-18, 2026. 

DSAAI 2026 will bring together researchers, industry practitioners, and domain experts to discuss the design, evaluation, deployment, and governance of specialized AI agents and agentic workflows. We seek to address key questions including:

  • How can generative AI models be adapted for domain-specific applications?

  • How should agentic workflows be designed and orchestrated?

  • How can agentic systems be integrated into EOSC infrastructures and HPC/HTC environments?

  • How can safety, trustworthiness, and regulatory compliance be ensured?

  • What are suitable evaluation methodologies for specialized autonomous systems?

Call for Presentations

We invite researchers, practitioners, and industry experts to submit Extended Abstracts (3–4 pages) or Short Papers (5–6 pages) describing original research, practical experiences, innovative methodologies, system designs, and lessons learned from real-world deployments of generative and agentic AI systems. Please proceed to the EasyChair submission link here

Contributions may include theoretical advances, implementation experiences, industrial applications, AI-enabled knowledge graph solutions, LLM-assisted systems, and novel approaches for building trustworthy AI agents.

Topics of Interest

  • Foundations of Generative and Agentic AI Inference

  • Architectural Patterns and Design Considerations for Trustworthy Generative AI

  • System Architectures for Serving AI Agents

  • Novel Approaches for Unifying Large Language Models and Knowledge Graphs

  • Training, Testing and Multi-Agent Orchestration

  • Explainability-by-Design Mechanisms for AI Services

  • EOSC Interoperability Standards and Services

  • Knowledge Graph Applications, Tools and Technologies

  • Deployment Strategies for Large-Scale Agentic Systems

  • Evaluation Methodologies for Trustworthy Agentic AI Systems

  • Biodiversity, Energy, Materials Science, Healthcare and Environmental Use Cases

The 1st International Workshop on Domain-Specific Agentic AI (DSAAI 2026) is supported by:

EOSC AIssistant EOSC AIssistant (Agentic GenAI Open Research Assistant)
Funded by the European Union's Horizon Europe Research and Innovation Programme under Grant Agreement No. 101292566.

HomeSAIFA (Serbian AI Factory Antenna)
Funded by the European High-Performance Computing Joint Undertaking (EuroHPC JU) under Grant Agreement No. 101263280.