Special Session
Special Session on
Edge-Intelligent and Privacy-Aware IoT Systems for Industry -
EPIC-IoT
2026
21 - 23 May, 2026 - Benidorm, Spain
Within the 11th International Conference on Internet of Things, Big Data and Security - IoTBDS 2026
CO-CHAIRS
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Rui Pinto
University of Porto
Portugal
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Brief Bio
Rui Pinto received the M.Sc. degree in Electrical and Computer Engineering and the Ph.D. degree in Computer Engineering from FEUP, Portugal. He is an Assistant Researcher at FEUP’s Department of Electrical and Computer Engineering and an Integrated Member of SYSTEC, working within the DIGI2 Lab. He is also an Invited Teaching Assistant at FEUP’s Department of Informatics Engineering. His research interests include Industry 4.0/5.0, CPPS, Smart Manufacturing, Artificial Immune Systems, and Engineering Education.
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Gil Manuel Gonçalves
University of Porto
Portugal
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Brief Bio
Gil Manuel Magalhães de Andrade Gonçalves (publishes as Gil M. Gonçalves) is an Associate Professor with Habilitation at the Faculty of Engineering of the University of Porto (FEUP) in the Department of Informatics Engineering (DEI). Gil has been developing his scientific and teaching career in software and systems engineering, control architectures, software modelling, and design for complex systems, with main research interests in: digitalization, digital transformation and industry 4.0; information system architectures and models for complex systems; Cyber Physical Systems; IoT and edge computing; Digital Twins; predictive and prescriptive models for system adaptation and reconfiguration.
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SCOPE
This special session explores novel approaches for enabling intelligent, scalable, and privacy-preserving IoT and CPS applications in industrial settings. We focus on distributed architectures leveraging edge/fog/cloud computing, machine learning (including federated and reinforcement learning), and secure-by-design frameworks. The session encourages contributions tackling challenges such as adaptive sensing, privacy-aware monitoring, scalable integration of heterogeneous devices, and AI-enhanced decision-making. Both theoretical advances and experimental validations are welcome. We especially encourage submissions from academic–industry collaborations and from projects addressing data-centric optimization in environmental monitoring, energy efficiency, or predictive maintenance in real-world industrial scenarios.
TOPICS OF INTEREST
Topics of interest include, but are not limited to:
- Edge and Fog Computing for Industrial CPS
- MLOps and TinyML for IoT
- Privacy and Security in Remote Monitoring
- Adaptive Sensing and Reinforcement Learning in IoT
- Scalable Integration and Interoperability
- Federated or Decentralized Learning for Industrial CPS
- AI-Enhanced Process Optimization
- Real-Time Predictive Maintenance and Diagnostics
IMPORTANT DATES
Paper Submission:
March 24, 2026
Authors Notification:
April 7, 2026
Camera Ready and Registration:
April 15, 2026
SPECIAL SESSION PROGRAM COMMITTEE
Available soon.
PAPER SUBMISSION
Prospective authors are invited to submit papers in any of the topics listed above.
Instructions for preparing the manuscript (in Word and Latex formats) are available at: Paper Templates
Please also check the Guidelines.
Papers must be submitted electronically via the web-based submission system using the appropriated button on this page.
PUBLICATIONS
After thorough reviewing by the special session program committee, all accepted papers will be published in a special section of the conference proceedings book - under an ISBN reference - and abstracted/indexed in DBLP, Google Scholar, EI-Compendex, INSPEC, Japanese Science and Technology Agency (JST), Norwegian Register for Scientific Journals and Series, Mathematical Reviews, SCImago, Scopus and zbMATH. CCIS volumes are also submitted for the inclusion in ISI Proceedings.