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IEEE IMC 2026 : IEEE Intelligent Mobile Computing 2026 | |||||||||||||||
| Link: https://cisose.fit.ac.jp/imc/ | |||||||||||||||
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Call For Papers | |||||||||||||||
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2026 14th IEEE International Conference on Intelligent Mobile Computing July 27-30, 2026 https://cisose.fit.ac.jp/imc/ -------------------------------------------------------------------------------------- IEEE Intelligent Mobile Computing (former IEEE MobileCloud) is a leading IEEE-sponsored international conference focusing on intelligent mobile, edge, and cloud computing systems. IEEE IMC 2026 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. This years’ edition of the IEEE IMC will take place in Fukuoka, Japan, from July 27-30, 2026. IEEE IMC 2026 is part of the IEEE International Congress on Intelligent and Service-Oriented Systems Engineering (CISOSE) offering a broad spectrum of international events, shared renowned keynotes, joint activities, and fostering exchange among researchers and practitioners. Information on all co-located events is available on the CISOSE website. 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. The topics of interest include, but are not limited to: Foundations, Enablers, Technologies, and Trends ● Mobile Cloud, Intelligent Mobile Computing, and AI-driven Mobile Intelligence ● Theories, Concepts, Algorithms, Programming Models, and Methodologies ● 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, 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 the Mobile–Edge–Cloud Computing Continuum ● Distributed Ledger Technologies, Blockchain, and AI-enabled Trust Mechanisms for the 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 Applications and Emerging Use Cases: ● 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 ● Sustainable Development -------------------------------------------------------- Important Dates ● April 10, 2026: Paper/Poster submission deadline ● May 15, 2026: Author notification ● May 22, 2026: Final paper submission (camera-ready) ● July 27-30, 2026: Conference -------------------------------------------------------- Paper Guidelines Papers must adhere to the following guidelines. Regular/full papers are limited to a maximum of 8 pages, short papers to 6 pages, and posters to 2 pages, inclusive of tables, figures, and references. All submissions must be written in English and conform to the IEEE double-column proceedings format, with templates being available for LaTeX and Word here. Submitted papers must present original work and should not be under review elsewhere. Each accepted paper must be presented in person by one of its authors at the conference. Presentations via teleconference are not allowed. In exceptional cases, a qualified substitute presenter may be permitted, but only with prior written approval from the Technical Program Committee Chairs. All submitted papers will undergo a peer-review process. IEEE IMC 2026 follows hereby a single-blind review process. Authors must disclose any conflicts of interest with members of the Program Committee when submitting their manuscript. In such cases, the Program Committee Chairs will ensure that the identified Program Committee member(s) are excluded from reviewing the paper. -------------------------------------------------------- General Chairs: Dr. Hiroyuki Sato, National Institute of Informatics, Japan Dr. Lan Emily Zhang, Clemson University, SC, USA Technical Program Committee Chairs: Dr. Navati Saxena, San Jose State University, CA, USA Dr. Rodriguez Garzon, Technische Universität Berlin, Germany Dr. Somchart Fugkeaw, Thammasat University, Thailand |
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