IEEE MENACOM 2026 Workshop · Agentic AI for IoT

At a Glance

Recent advances in Agentic AI are transforming IoT by enabling autonomous, goal-driven, and collaborative intelligence distributed across edge, fog, and cloud. Agentic systems can perceive, reason over context, learn continuously, and act independently or cooperatively— making them a strong fit for next-generation IoT ecosystems.

What this workshop is about

Architectures for autonomous and collaborative IoT agents
Learning, planning, and decision-making under uncertainty
Edge intelligence and deployment on constrained devices
Security, trust, privacy, and responsible governance
Digital twins, resilience, and real-world IoT deployments

Important Dates

Paper Submission Deadline March 1, 2026

Notification of Acceptance March 29, 2026

Camera-Ready Submission TBD

Workshop Date May 12, 2026

Camera-ready submission date will be updated once the MENACOM 2026 workshop schedule is finalized.

Call for Papers

Workshop Overview

Unlike traditional centralized or rule-based IoT architectures, agentic AI enables autonomous, goal-driven, and collaborative intelligence distributed across edge, fog, and cloud layers. These intelligent agents can perceive their environment, reason over complex contexts, learn continuously, and act independently or cooperatively—making them ideal for next-generation IoT ecosystems.

This workshop, organized in conjunction with IEEE MENACOM 2026, aims to bring together researchers, practitioners, and industry experts to explore foundations, architectures, algorithms, and applications of agentic AI for IoT systems. The workshop will provide a focused forum to discuss emerging research challenges, deployment experiences, and future directions at the intersection of AI agents, edge intelligence, and cyber-physical IoT systems.

Topics of Interest

The workshop solicits original, unpublished research papers and industry contributions (case studies and prototypes), including but not limited to:

Agentic AI Foundations for IoT

Agent-based architectures for IoT systems
Multi-agent systems (MAS) and coordination mechanisms
Goal-driven, utility-based, and autonomous agent models
Distributed intelligence across edge–fog–cloud layers

Learning, Reasoning, and Adaptation

Reinforcement learning and multi-agent RL (MARL)
Online, continual, and federated learning for agentic IoT
Planning, reasoning, decision-making under uncertainty
Context-aware and self-adaptive IoT agents

Edge Intelligence and Embedded Agents

Lightweight agent models for resource-constrained devices
Energy-aware, latency-sensitive, real-time operations
Deployment on edge devices, gateways, microcontrollers

Security, Trust, and Governance

Secure communication and authentication for agents
Trust modeling and reputation systems
Privacy-preserving and explainable agent intelligence
Ethical, accountable, responsible AI agents

Digital Twins and Cyber-Physical Systems

Agent-enabled digital twins for IoT systems
Simulation-to-reality transfer using agentic intelligence
Self-healing, resilient, fault-tolerant infrastructures

Applications and Use Cases

Smart cities and intelligent transportation systems
Industrial IoT and autonomous manufacturing
Smart grids, energy management, sustainability
Healthcare IoT and assisted living
Environmental monitoring and disaster management

Submission Guidelines

Submitted papers must be original, unpublished, and not under review elsewhere.
Papers should follow the IEEE conference paper format.
Regular papers: up to 6 pages
Short/Vision/Industry papers: up to 4 pages
All submissions will undergo peer review by the Workshop Technical Program Committee.
Accepted papers will be published in IEEE conference proceedings and submitted to IEEE Xplore (subject to IEEE policies).

Submission Link (will be updated shortly) IEEE Template