Original contributions are invited in the areas of interest including, but are not limited to, the following ones:
Lightweight deep learning architectures for embedded/edge devices
Real-time human monitoring (e.g., face, emotion, stress, distraction analysis)
Multimodal fusion of visual, audio, and physiological signals
Explainability, reliability, and robustness of embedded AI
Privacy-preserving and ethical AI approaches
Datasets, benchmarks, and reproducibility for embedded AI
Energy-efficient model inference and hardware-aware optimization
Continual and adaptive learning on edge devices
TinyML and neuromorphic approaches for intelligent environments
Low-latency model compression, pruning, and quantization
On-device learning and federated learning in constrained settings
Edge-based visual and speech recognition for ambient intelligence
Embedded AI for safety-critical applications (e.g., assistive tech, healthcare)
Integration of embedded AI with IoT frameworks and middleware
Secure deployment and update mechanisms for AI at the edge
Authors must prepare their papers in accordance with the IOS Press Format and should be 6-10 pages (no more than 10). Submissions will undergo a single-blind peer review process and will be evaluated based on originality, significance, clarity, soundness, relevance, and technical quality.
Upon acceptance, at least one author must register for the event, attend the workshop, and present the paper orally. All accepted papers will be published in a separate volume, distinct from the official proceedings of the IE 2026 conference.
All submissions must be made electronically via CMT.
Acknowledgment: The Microsoft CMT service was used for managing the peer-reviewing process for this conference. This service was provided for free by Microsoft and they bore all expenses, including costs for Azure cloud services as well as for software development and support.
Paper submission deadline: March 13, 2026
Notification of acceptance: April 10, 2026
Camera-ready submission: April 17, 2026