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Special Session
Special Session on
Industrial AI at the Edge
 - IAIE 2024

21 - 22 November, 2024 - Porto, Portugal

Within the 5th IFAC/INSTICC International Conference on Innovative Intelligent Industrial Production and Logistics - IN4PL 2024


Ander Garcia
Data Intelligence for Energy and Industrial Processes, Vicomtech
Brief Bio
Dr. Ander García studied Telecommunication Engineering between 1997 and 2002 at the University of the Basque Country. He obtained his PhD from the same university in 2011. His thesis, which was focused on the application of operations research optimization algorithms, was entitled “Intelligent Personalised Tourist Route Generation”. Since 2003 he has worked at Vicomtech as a senior researcher and project manager of several projects. After leading the leading the Intelligent Manufacturing research line, currently he works at the Data Intelligence for Energy and Industrial Processes department, leading the Connectivity and Cloud/Edge research line. He has been an associated professor of Data Base and Software Engineering at the Computer Science Language and Systems department of the University of the Basque Country during 2005, 2006, 2007, 2008, 2009 and 2016. Since 2022 he is an associated professor at the Computer Science Faculty of the University of Deusto.
Xiao Lin

Brief Bio
Dr. Xiao Lin. Ph.D. in computer science focusing on cognitive vision and artificial intelligence from Image Processing Group, Universitat Politècnica de Catalunya. M.Sc in research of computer vision and B.Eng in software engineering both from South West University of China. He moved to Spain to start his Ph.D. with special interests in RGB-D data based scene analysis and generic object segmentation. His Ph.D thesis was rewarded with “excellent cum laude”. Upon the finalization of his Ph.D, he joined in Vicomech, a research center in the Basque country, and started extending his knowledge on applied researches and projects on advance manufacturing.He has 10+ years professional academic experience in cognitive vision with more than 10 published papers in high impact journals and conferences; 8 years in-depth experience of participating and leading various projects (local/national/EU) and expertise in cognitive vision, artificial intelligence and robotics especially for industrial solutions. His recent work focuses on developing agile, flexible, and cost-effective solutions for a wide range of industrial sectors by exploiting digital twin and deep reinforcement learning


Cloud computing presents relevant drawbacks (mainly latency, privacy and security) for the Industry domain. Edge Computing faces these drawbacks, fostering Industrial AI applications running at Edge devices located at factories.
This Workshop will provide a comprehensive overview of research, innovation, practice and technological advances for Industrial applications of AI on Edge devices. The Workshop is focused on the state-of-the-art of theory and practice of several topics relevant for the successful deployment of Industrial Edge AI applications: from methodologies to design and benchmarkings for Edge AI algorithms, to Edge MLOps/AIOps architectures, Cyber Physical Systems, and Digital Twins.


Topics of interest include, but are not limited to:
  • Industrial Edge Ai: Methodologies, Algorithms, Benchmarking, Deployment and Use-cases
  • Industrial Edge Mlops/Aiops: Methodologies, Architectures and Use-cases
  • Edge Cyber Physical Systems and Digital Twins: Architectures, Standardization, Interoperability


Paper Submission: September 20, 2024
Authors Notification: October 4, 2024
Camera Ready and Registration: October 14, 2024


Available soon.


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.


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.


IN4PL Special Sessions - IAIE 2024