TRUST-AGENT is an international workshop showcasing original and innovative work on trustworthy, explainable and sovereign agentic AI for next-generation ubiquitous networks,
edge–cloud infrastructures and autonomous systems. It offers a vibrant forum for academics, practitioners and policymakers to advance autonomous AI and its societal impact. The
workshop will be held in Almaty, Kazakhstan, in conjunction with the 17th International Conference on Emerging Ubiquitous Systems and Pervasive Networks (EUSPN 2026).
EUSPN proceedings are published by Elsevier in the Procedia Computer Science series, indexed by Scopus & DBLP.

Submissions are made electronically in PDF through the EasyChair conference management system and undergo peer
review. We welcome original research, industrial case studies, position & vision papers, and demonstrations.
Submissions must be original and not published or under consideration for publication elsewhere. Accepted contributions are
presented in dedicated paper sessions alongside keynotes, industrial talks, a live demo session and panel discussions.

Topics of Interest
The areas of interest include, but are not limited to:
T1 · Agentic AI & Autonomous Systems
Autonomous AI agents
Multi-agent systems
Reasoning & planning
Tool-augmented agents
Human–AI collaboration
T2 · Telecom Intelligence & AI-Native Networks
Telecom foundation models & LLMs
AI-native 6G networks
Agentic AI-RAN
Intent-based networking
Autonomous network operations
Network digital twins
T3 · Generative AI & Foundation Models
LLMs & SLMs
Multimodal foundation models
RAG & agentic RAG
Domain-specific foundation models
Foundation models for edge & IoT
T4 · Agentic AI for Software Engineering
Autonomous coding agents
AI-assisted development
Agentic software engineering
AI-augmented DevOps
LLMOps / MLOps
AI-based testing & maintenance
Important Dates
Paper Submission Due:
3 September 2026
Camera-Ready & Registration:
18 September 2026
T5 · Federated & Distributed Intelligence
Federated learning & LLMs
Split & collaborative learning
Distributed foundation models
Edge intelligence
Edge–cloud continuum
Privacy-preserving learning
T6 · Explainable & Trustworthy AI
Explainable LLMs & agents
Interpretable machine learning
Causal AI
Responsible AI
Auditing & accountability
T7 · LLM Security & AI Safety
Prompt injection & jailbreaking
Adversarial machine learning
Secure RAG architectures
AI red teaming
Secure multi-agent systems
AI risk management
T8 · Sovereign AI, Governance & Decentralized Trust
Sovereign AI infrastructures
AI factories & sustainable AI
Governance, laws & regulation
Verifiable AI & data provenance
Decentralized trust & data sovereignty


Organizing Committee
General Chair
Vijayakumar Varadarajan
Swiss School of Business & Management, Geneva,
Switzerland
Track Co-Chairs
Jalel Eddine Hajlaoui, Gustave Eiffel University,
France
Ali Benzerbadj, Univ. of Aïn Témouchent, Algeria
Hafedh Hrizi, University of Tunis, Tunisia
Sofien Mhatli, University of Jendouba, Tunisia
Zaki Brahmi, ÉTS Montréal, Canada
Program Committee
Ahlem Nabli, University of Sfax, Tunisia
Faiçal Felhi, Qassim University, Saudi Arabia
Marwa Mokni, CY Cergy Paris University, France
Mehdi Jemmali, University of Sharjah, UAE
Mohsen Denden, University of Sousse, Tunisia
Nasreddine Hajlaoui, University of Unayzah, Saudi
Arabia
Omar Cheikhrouhou, University of Sfax, Tunisia
Tariq Hussain, Zhejiang Gongshang University,
China
Thouraya Gouasmi, University of Gafsa, Tunisia
Wided Khemili, University of Kairouan, Tunisia
Yahia Hamdi, University of Toulouse, France