About us

IEEE Intelligent Mobile Computing is a leading IEEE-sponsored international conference focusing on intelligent mobile, edge, and cloud computing systems. The conference covers foundational and applied research on architectures, systems, and methodologies that enable AI-driven, autonomous, intelligent, and adaptive computing across the mobile–edge–cloud continuum. It is part of the IEEE International Congress on Intelligent and Service-Oriented Systems Engineering (CISOSE).

Important Dates

Sun, Apr 26, 2026
Paper/Poster submission deadline
Fri, May 15, 2026
Author notification
Fri, May 22, 2026
Final paper submission (camera-ready)
Mon, Jul 27, 2026
Conference start

Call For Paper

Sustainable development
Theories, Concepts, Algorithms, Programming Models, and Methodologies
Mobile Cloud, Intelligent Mobile Computing, and AI-driven Mobile Intelligence
Large Language Models (LLMs), Foundation Models, and Generative AI for Mobile, Edge, and Cloud Computing
Edge Computing, Fog Computing, and Cloud Computing with embedded AI Capabilities
Mobile Edge Computing (MEC) and Multi-access Mobile Computing
Virtualization and Containerization for Mobile Clouds and AI Workloads
Mobile Cloud and Mobile Computing Continuum, AI-assisted Offloading, and Resource Allocation
Dynamic Resource Provisioning, Load Balancing, and AI-based Workload Management
Context-aware Resource Provisioning and AI-driven Resource Allocation
Data Storage and Management in Mobile Environments for Data-intensive and AI Applications
Mobile Clouds, Network Slicing, and AI-enabled Network Management
Orchestration, Service Discovery, Mobile Cloud Federations, and AI-driven Control
Campus Networks and AI-enabled Infrastructures
Mobile Computing with AI and for AI
Mobile Agents, AI Agents, Digital Twins, and Intelligent Service Portability and Service Migration in Mobile Clouds
Performance, Latency, Scalability, Reliability, Quality of Service (QoS), and AI-aware System Optimization
Mobile Computing for 5G/6G, AI-native Networks, and Non-terrestrial Networks (NTN)
On-demand Mobile Computing Models and AI-assisted Cloud Brokering
Collaborative Mobile Intelligence and Federated Mobile Computing
Ecosystems, Marketplaces, Mobile Service Federation, and AI-assisted SLA Management
Security, Privacy, and Trustworthy AI in Mobile Computing
Data Sovereignty and Privacy-preserving Algorithms in Mobile Computing
Identity Management, Federation, and AI-based Access Control in Multi-stakeholder Mobile–Edge–Cloud Computing Continuum
Distributed Ledger Technologies, Blockchain, and AI-enabled Trust Mechanisms for the Multi-stakeholder Mobile–Edge–Cloud Computing Continuum
Mobile Computing for Decentralized and AI-driven Mobile Applications
Network Virtualization, Communication Protocols, and AI-assisted Networking
Energy-Efficient Intelligent Computing and Sustainability
Interoperability, Regulation, Standards, Policies, and Governance of AI-enabled Mobile Systems
Tools, Toolkits, Middleware, and Platforms for AI-enabled Mobile Computing
Modeling, Testing, Evaluation, and Simulation of AI-enabled Mobile Mobile Computing
Autonomous Driving, V2X, Intelligent Transportation Systems (ITS), Logistics, and Telematics
AI-driven Urban Mobility Solutions, Car-sharing and Fleet Management
Robotics, AI-enabled Unmanned Aerial Vehicles (UAVs), and Unmanned Ground Vehicles (UGVs)
Sensor Networks, IoT, Industrial IoT (IIoT), and AI-enabled Industry 4.0/5.0
Future Wireless Technologies, AI-native 5G/6G, Wi-Fi, Satellite, etc.
Aviation, Airports, Train Stations, Railways, and AI-assisted Transportation Infrastructure
Mobile Gaming, Mobile Streaming, Augmented Reality (AR), and Virtual Reality (VR)
Computer Vision and Video Analytics in Mobile Environments
Surveillance and Disaster Management
Smart City, E-Health, E-Government, and Smart Infrastructure
Mission-critical Systems and Emergency Communication
Community Services and Social Networking
Agriculture and Smart Farming

The IEEE IMC 2026 invites high-quality research contributions that advance the foundations, algorithms, and systems of intelligent mobile computing systems. The conference welcomes both theoretical and applied work, including experimental studies and real-world deployments, that address the design, implementation, and operation of autonomous, adaptive, and learning-enabled mobile, edge, and cloud computing systems. Submissions on Large Language Models (LLMs), generative AI, AI agents for autonomous orchestration, decision-making and planning in intelligent mobile, edge, and cloud computing are particularly encouraged.