Bridging SOC, AI & IoT
SOCAISA explores the convergence of Service-Oriented Computing, Artificial Intelligence, and the Internet of Things — addressing the critical challenges of interoperability and scalability in the design of intelligent, interconnected systems.
Interoperability Challenges
In the context of SOC and IoT, interoperability remains a fundamental challenge due to the diverse nature of devices, protocols, and service interfaces. AI techniques offer promising solutions by enabling systems to autonomously understand and adapt to varying data formats and communication protocols. Semantic technologies and NLP can standardize service descriptions, enhancing discovery and composition across heterogeneous environments.
Scalability Solutions
As IoT deployments expand exponentially, generating massive data volumes, SOC frameworks must efficiently process and manage them at scale. AI-driven approaches — edge computing, distributed learning, federated architectures — enable decentralized decision-making, reducing latency and enhancing scalability. Predictive analytics and dynamic resource allocation allow SOC architectures to adapt to real-time demand.
AI as a Convergence Engine
Artificial Intelligence is no longer a standalone layer: it acts as the convergence engine that makes SOC and IoT systems adaptive, context-aware, and self-healing. From LLMs as service orchestrators to federated learning across IoT nodes, AI fundamentally reshapes how services are discovered, composed, and governed.
Research & Practice
SOCAISA brings together researchers and practitioners from three communities to produce cross-disciplinary insights, establish a shared vocabulary, and define a forward-looking research agenda. The workshop covers the full spectrum — from formal models and middleware design to real-world deployments and benchmarking frameworks.
Research Focus Areas
The workshop welcomes contributions across the following themes, without being limited to them.

AI & Services
AI Integration in Service-Oriented Systems AI-Driven Service Orchestration and Composition AI-Enhanced Service Discovery and Recommendation AI-Based SLA Management AI-Driven Adaptive and Self-Healing Systems AI for Quality of Service (QoS) Optimization AI-Enabled Security and Privacy in SOC Intent-Based Service Computing
LLMs & Generative AI
LLMs as Service Orchestrators in IoT Environments Generative AI for Automated Service Configuration Small Language Models (SLMs) for Resource-Constrained IoT Explainable AI (XAI) for Trustworthy Service Systems
IoT & Edge Computing
AI for IoT and Edge Computing Integration Context-Aware AI Technologies for Services and IoT Edge-Cloud Continuum Architectures for Intelligent IoT Distributed LLM Inference at the Edge AI-Enabled Sustainable IoT Solutions
Interoperability & Semantics
Semantic-Based IoT Solutions for Interoperability Federated Learning for Privacy-Preserving IoT Services
Data, Cloud & Infrastructure
Big Data Management in Service-Oriented IoT Microservices and Serverless Architectures for Scalable IoT Carbon-Aware Service Scheduling in IoT Infrastructures
Emerging Paradigms
Digital Twin Frameworks for IoT Service Management Blockchain for Decentralized Trust and SLA Enforcement AI-Driven SOC for Smart Health, Smart Cities & Industry 4.0
Submission & Publication
Authors are invited to submit original, unpublished research contributions.

Format Requirements
Full papers must not exceed 12 pages (including references and appendices), formatted according to the Springer LNCS template.
Papers must be submitted as PDF files via the EasyChair platform. If you encounter any issue during submission, contact us at Karim.guennoun@ehtp.ac.ma.
Each submission will be reviewed by at least three members of the international program committee, evaluated on originality, significance, technical soundness, and clarity.
Publication
All accepted papers will be published in the workshop proceedings as part of the Lecture Notes in Computer Science (LNCS) series by Springer.
At least one author of each accepted paper must register and present at the workshop. Registration follows the terms of the main ICSOC 2026 conference.