1st International Workshop on Domain-Specific Agentic AI (DSAAI 2026)

Workshop Overview

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) aims to 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.

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

Important Dates

Submission Guidelines

Submissions must be written in English and follow Springer formatting guidelines. We welcome:

• Extended Abstracts (3–4 pages)
• Short Papers (5–6 pages)

All submissions will undergo a single-blind peer review process. Evaluation criteria include originality, technical quality, relevance, clarity, practical impact, and the potential to stimulate future research and innovation.

Accepted Papers

Accepted contributions will be published online through ZENODO prior to the workshop.

Organizers

• Sahar Vahdati – Technische Informationsbibliothek (TIB), Leibniz Universität Hannover, Germany
• Valentina Janev – Institute Mihajlo Pupin, University of Belgrade, Serbia
• Marko Batić – Institute Mihajlo Pupin, University of Belgrade, Serbia
• Lazar Berbakov – Institute Mihajlo Pupin, University of Belgrade, Serbia

Program Committee (TBC)

Sponsors

This workshop is supported by: