Call for Papers
EDL-IE 2026 — Embedded Deep Learning for Real-time Intelligent Environments
Co-located with IE 2026, Lisbon, Portugal · 15–18 June 2026
Workshop Website
Workshop Abstract
Intelligent environments play a crucial role in shaping the future of connected living spaces, healthcare systems, transportation networks, and pervasive monitoring solutions. With the rise of deep learning and AI, significant progress has been made in perception, decision-making, and multimodal sensing. However, deploying these models in real-world scenarios introduces new challenges, including efficiency, reliability, explainability, and operation under strict resource constraints.
The Workshop on Reliable and Efficient AI for Intelligent Environments aims to provide a forum for researchers, practitioners, and industry professionals working at the intersection of AI, edge computing, and embedded systems. The workshop seeks to bridge the gap between algorithmic innovation and practical deployment, encouraging collaboration across disciplines to ensure AI systems are not only accurate but also robust, transparent, and resource-aware.
We invite submissions on lightweight deep learning architectures, privacy-preserving and explainable AI, multimodal sensing strategies, and methods for real-time deployment in intelligent environments. The goal is to encourage discussion on advancing state-of-the-art solutions that enable efficient and trustworthy AI in domains such as smart homes, healthcare, transportation, and beyond.
This workshop will be held as a co-located event in the 22nd International Conference on Intelligent Environments (IE 2026).
Topics of Interest
We invite contributions including, but not limited to, the following topics:
- 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
Important Dates
Paper Submission Deadline: 13 March 2026
Notification of Acceptance: 10 April 2026
Camera-Ready Paper Due: 17 April 2026
Workshop Date: 15–18 June 2026
Submission Instructions
- Papers must be original, unpublished work and written in English.
- Submissions should be formatted according to the IOS Press Format.
- Length should be 6-10 pages (including figures, tables, and references).
- Submission is handled electronically through CMT Portal.
- All papers will undergo peer review.
- At least one author of each accepted paper must register and present the work at the workshop.
Accepted and presented papers will be published in a dedicated volume, distinct from the official proceedings of the IE 2026 conference, in the Book Series on Ambient Intelligence and Smart Environments. Proceedings published by this Book Series are indexed by Clarivate (Web of Science).
Organizing committee (Chairs)
- Luigi Celona, University of Milano-Bicocca (Italy) — luigi.celona@unimib.it
- Asterios Leonidis, Foundation for Research & Technology Hellas (FORTH) and University of Crete (Greece) — leonidis@ics.forth.gr
- Jalil Piran, Sejong University (South Korea) — piran@sejong.ac.kr
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