(apologies for cross-posting)

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ACM/IFIP MAIOT25: Call for Research Papers

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AIoT (Artificial Intelligence of Things) refers to the combination of Artificial Intelligence (AI) and the Internet of Things (IoT). It brings together the data-collecting and connectivity capabilities of IoT devices with the data-processing and decision-making power of AI. This integration allows smart devices to analyze data, learn from it, and make autonomous decisions without human intervention. The next generation of AIoT systems demands intelligent middleware solutions that enable autonomous, scalable, and trustworthy AI operations across the computing continuum (IoT-Edge-Cloud). Middleware plays a crucial role in optimizing AI model lifecycle management, ensuring data privacy, and enabling energy-efficient computing in distributed AI environments. The workshop will bring together middleware and AI/IoT researchers and practitioners alike, to explore the challenges, opportunities, and future directions for AIoT middleware solutions.
https://pandora-heu.eu/maiot25/

We welcome papers on topics including, but not limited to:

AIoT Middleware Architectures and Frameworks
- Adaptive and intelligent middleware architectures for AIoT systems.
- Middleware solutions for seamless orchestration across IoT-Edge-Cloud environments.
- Lightweight middleware for resource-constrained IoT devices.
- Modular and microservices-based middleware for scalable AIoT applications.

AI Model Lifecycle Management in Distributed AIoT Environments
- Middleware support for distributed training and deployment of AI models.
- Continuous learning and online model adaptation at the edge.
- Federated learning middleware for decentralized AI model updates.
- Automated MLOps pipelines integrated with AIoT middleware.

Data Management, Privacy, and Security in AIoT Middleware
- Privacy-preserving middleware solutions for sensitive IoT data.
- Secure data sharing and collaboration frameworks in multi-tenant AIoT environments.
- Blockchain-enabled middleware for trustworthy AIoT ecosystems.
- Middleware solutions addressing adversarial attacks in distributed AI networks.

Performance, Scalability, and Resilience
- Scalable middleware for real-time AI inference across heterogeneous IoT devices.
- Resilient middleware architectures ensuring fault-tolerant AI operations.
- Low-latency middleware solutions for time-critical AIoT applications.
- Performance benchmarking and optimization techniques for AIoT middleware.

Energy-Efficient and Sustainable AIoT Middleware
- Energy-aware middleware for optimizing AI workloads across the computing continuum.
- Green AI strategies: Reducing carbon footprint through efficient middleware solutions.
- Dynamic resource management and workload offloading for energy savings.
- Middleware-driven AI model compression and acceleration techniques.

Context-Aware and Autonomous AIoT Middleware
- Context-aware middleware for adaptive AI behavior in dynamic environments.
- Middleware supporting autonomous decision-making in mission-critical AIoT applications.
- Integration of knowledge graphs and semantic reasoning in AIoT middleware.
- Middleware-driven intent-based networking for AIoT systems.

AIoT Middleware for Emerging Applications
- Middleware solutions for smart cities, healthcare, industrial automation, and smart agriculture.
- Middleware for AI-powered robotics and autonomous systems in IoT environments.
- Real-time middleware support for AI-driven digital twins.
- Middleware enabling immersive AIoT experiences (AR/VR, metaverse applications).

Cross-Layer Optimization and Interoperability
- Middleware for cross-layer optimization in heterogeneous AIoT environments.
- Interoperability frameworks for integrating diverse AI and IoT platforms.
- Middleware-driven service composition and discovery in AIoT ecosystems.
- Standardization challenges and solutions for AIoT middleware interoperability.

*** Submission Guidelines

Please use the following URL for paper submissions:
https://pandora-heu.eu/maiot25-submission-guidelines/

All submissions need to follow ACM Proceedings Manuscript Formatting Guidelines. See templates here: https://www.acm.org/publications/proceedings-template

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*** Important Dates

All deadlines are at 23:59:59 UTC.

Paper Submission Deadline:
- September 25, 2025

Notification of Paper Acceptance:
- November 1, 2025

Author Registration Deadline:
- TBC

Conference dates:
December 15-19, 2025

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*** Co-Chairs and PC Chair

Georgios Bouloukakis (University of Patras)
Hans-Arno Jacobsen (University of Toronto)
Asterios Stroumpoulis (National Technical University of Athens)
Maria Pateraki (National Technical University of Athens)
Konstantinos Tserpes (National Technical University of Athens)
Dušan Jakovetić (University of Novi Sad)
Sotiris Ioannidis (Technical University of Crete)
Qi Zhang (Aarhus University)
Patrizio Dazzi (University of Pisa)
Katerina Tzompanaki (Cergy Paris University)
Vassilis Christophides (École Nationale Supérieure de l’Électronique et de ses Applications)
Houssam Hajj Hassan (Télécom SudParis)
Ajay Kattepur (Ericsson AB)
Arne Bröring (Siemens)
Miloš Savić (University of Novi Sad)
Vladimir Kurbalija (University of Novi Sad)
Patrizio Frosini (University of Pisa)
Bilal Ladjelate (Thales SIX GTS France SAS)
Ourania Manta (Cyberalytics Limited)
Marin Orlic (Ericsson AB)
Alberto Hata (Ericsson AB)
Karl Waedt (Framatome)
Punit Rathore (Indian Institute of Science)
Mohammad Hamad (Technical University of Munich)
Branislav Vrban (Slovak University of Technology)

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To contact us, please write to astroumpoulis@mail.ntua.gr