Call for Papers

Artificial Intelligence and Big Data Analytics for Edge Applications Workshop
(Edge_AIB)

Co-located with the 2026 8th Computing, Communications and IoT Applications Conference (ComComAp 2026)

Hybrid Event | December 14–17, 2026 | Paphos, Cyprus

Workshop Information

Conference Proceedings ComComAp 2026
Date December 14–17, 2026
Location Paphos, Cyprus
Format Hybrid Event
Technical Sponsorship IEEE
Website comcomap.net/2026
Visit Conference Website Submit Your Paper

Workshop Chairs

Scope

The Artificial Intelligence and Big Data Analytics for Edge Applications (Edge_AIB 2026) workshop aims to provide a focused forum for exploring the convergence of artificial intelligence, big data analytics, edge computing, IoT, intelligent sensing, and computer vision. The workshop emphasizes the importance of processing and analyzing data closer to its source to support real-time, scalable, and efficient decision-making across modern edge-enabled applications. The workshop will highlight recent advances in edge-native AI, big data stream analytics, lightweight deep learning, computer vision, intelligent sensing, multimodal data processing, and distributed learning at the edge. Particular attention will be given to methods and applications that enable real-time inference, anomaly detection, event recognition, predictive analytics, and data-driven intelligence in dynamic edge environments. Through original research, technical contributions, case studies, and prototype demonstrations, Edge_AIB 2026 will provide insights into the design and implementation of intelligent edge systems for IoT, smart cities, healthcare, transportation, energy, industrial IoT, UAVs, autonomous systems, disaster monitoring, environmental sensing, and agriculture. The workshop welcomes researchers, engineers, industry professionals, and graduate students interested in advancing next-generation AI-enabled and data-driven edge applications.

Topics of Interest

Accepted papers will be published in the ComComAp 2026 proceedings and will be submitted for inclusion in the relevant digital library according to the conference publication policy. Authors are welcome to submit original papers not previously published and not currently under review elsewhere. Topics include, but are not limited to:

  1. Applications of edge intelligence in IoT and smart environments
  2. Edge analytics methods, architecture, and frameworks
  3. Big data analytics for edge-enabled and distributed systems
  4. Edge-native AI and lightweight deep learning models
  5. Visual intelligence for edge applications
  6. Intelligent sensing and multimodal data fusion at the edge
  7. Federated, split, and distributed learning for edge intelligence
  8. Real-time inference, anomaly detection, and event recognition at the edge
  9. Predictive analytics and decision-support systems for edge applications
  10. Vision-language and multimodal foundation models for edge intelligence
  11. Generative AI and compact large language models for edge applications
  12. Agentic AI for autonomous IoT and edge systems
  13. Edge AI for UAVs, autonomous systems, and connected vehicles
  14. Edge intelligence for smart cities, healthcare, energy, and industrial IoT

Publication

Accepted papers will be published in the IEEE ComComAp 2026 proceedings and will be submitted for inclusion in the IEEE Digital Library / IEEE Xplore.

Best Paper Award: One Best Paper Award will be presented within this workshop.

Important Dates

The workshop will follow the same submission and notification deadlines as the main ComComAp 2026 conference.

Submission

Authors are invited to submit their papers through the official submission system.

Submit Paper
© 2026 AI-EEE Workshop | Co-located with ComComAp 2026 | Technically Sponsored by IEEE