Call for Papers and Important Dates

Submissions should contribute to a substantial, original and previously unpublished research in the topics:

  • Industry 5.0
    • Advanced Service Systems and Automation
    • AI-Driven Manufacturing and Production
    • Intelligent,Adaptive and resilient Supply Chains
    • Smart Manufacturing and Autonomous Systems
    • Smart Production and Process Optimization
    • Smart Services and Customer-Centric Solutions
  • Sustainable Engineering & Circular Manufacturing
    • Carbon-Neutral and Renewable Energy Manufacturing
    • Circular and Closed-Loop Manufacturing Systems
    • Eco-friendly and Low-Impact Production Technologies
    • Green and Sustainable Supply Chains
    • Resource-efficient and Optimized Systems
    • Zero-waste and Sustainable Production Models
    • Human Centred Production Systems
  • Digital Technologies
    • Artificial Intelligence and Autonomous Systems
    • Advanced Cybersecurity and Threat Intelligence
    • Digital Health Technologies
    • Internet of Things and Edge Computing
    • Machine Learning and Deep Learning Applications
    • Smart Systems and Autonomous Infrastructure
  • Digital Transformation
    • Agile Organizational Transformation Strategies
    • AI-Enhanced Data-Driven Decision Making
    • Evolving Role of CIO/CDO in Innovation and Strategy
    • Holistic Transformation and Change Management
    • Leadership in the Age of Digital Transformation
    • Seamless Integration of Legacy Systems
  • Open Innovation and Collaboration
    • Collaborative Experience Design and Innovation
    • Crowdsourced and Co-Created Innovation
    • Circular and Sustainable Innovation Models
    • Living Labs and User-Driven Innovation
    • Networked and Cross-Industry Innovation
    • Responsible and Ethical Innovation Practices
    • User Driven Innovation and Living Labs
    • Purpose-driven innovation and business
  • Innovation Ecosystems and Responsibility
    • Inclusiveness and Accessible Innovation
    • Resilient Societies through Inclusive Innovation
    • Social Innovation for Community Development
    • Societal Resilience and Adaptive Innovation
    • Sustainable and Eco-Driven Innovation
    • Technological Innovation for Global Challenges
    • Education for Sustainable Innovation
    • Teaching and Learning Collaborative Environments
    • Public-Private Collaboration
  • Entrepreneurial Ecosystems and Support
    • Collaborative Networks in Entrepreneurship
    • Digital and Platform-Based Entrepreneurship
    • Entrepreneurship and Venture Growth Metrics
    • Entrepreneurship in Developing and Emerging Economies
    • Female-Led and Gender-Inclusive Entrepreneurship
    • Social Entrepreneurship and Sustainable Business Models
    • Commercialization Strategies for Technological Innovations
  • Corporate Entrepreneurship and Intrapreneurship
    • Ambidextrous Leadership for Innovation and Efficiency
    • Corporate Venturing and Innovation Investment
    • Organizational Ambidexterity in Dynamic Markets
    • Strategic and Organizational Renewal Initiatives
    • Support Structures and Processes

The topics of interest are examples, other topics that fit into the areas of the conference are welcome.

Important Dates

ICE IEEE/ITMC
9th Feb 16th Mar 2025: Full Paper Submission
31st Mar 2025 30th April 2025: Author Notification
15th May 2025: Revised final version to be uploaded in ConfTool
1st June 2025: Camera ready version to be uploaded in ConfTool
15th June 2025: Filled copyright form to be uploaded in ConfTool
16th-19th June 2025: ICE Conference dates
Special Session
8th Nov 2024: Special Sessions proposals
15th Nov 2024: Acceptance Notification
18th Nov 2024: Special Sessions Call for Papers
9th Feb 16th Mar 2025: Full Paper Submission Deadline
31st Mar 2025 30th April 2025: Author Notification
15th May 2025: Revised final version to be uploaded in ConfTool
1st June 2025: Camera ready version to be uploaded in ConfTool
15th June 2025: Filled copyright form to be uploaded in ConfTool
16th-19th June 2025: ICE Conference Special Sessions

ICE 2025 Conference welcomes submissions of scientific papers directly connected with the Conference Areas & Topics but also industrial papers demonstrating relevant case studies and implementation of Engineering, Technology, Innovation and Entrepreneurship.

ADDITIONAL INFORMATION FOR SUBMISSION

15th May - Revised final version to be uploaded in ConfTool.

  • Make sure, in case you've not yet done it, that a sub-section "Match and Contribution" is included in your paper either at the end of the section DISCUSSION or in the section CONCLUSION before the sub-section "Future Work".
  • This particular sub-section is the place where authors have to explain how much their paper/study matches with and contributes to both ICE2025 Themes and Topics, and to IEEE TEMS research objectives (Addressing the Management of Emerging Technology; Providing Practical Frameworks; Analyzing Implementation Challenges; Focusing on Value Creation), as this is a requirement for the publication of your paper in the IEEE Digital Library.
  • Last opportunity to get the "early-bird" registration rate.

1st June - Camera ready version to be uploaded in ConfTool.

  • Authors have passed the final version in the IEEE PDF eXpress Checker for publication in the IEEE Digital Library.

15th June - Filled copyright form to be uploaded in ConfTool.

  • At least, one author of your paper (Presenting Author) has to mandatorily register as ICE 2025 attendee and payment of the registration fee must be done. All details about the registration can be found at: https://ice-conference.org/registration/ 

Author Guidelines and Paper Templates

Papers will be selected in a double-blind refereeing process based on the submitted full papers.
Final papers should have min. 8, max. 10 pages length and should be in the correct format (template available below).

A submitted paper should NOT include authors’ names as we conduct a double-blind review process!
The filename of submitted papers should be the following: „Contribution_nnn“.pdf where „nnn“ is the paper ID given in Conftool at submission.

The paper should clearly describe its purpose and relevance, reference to existing theories and related works, research methods used and major results. Papers are expected to show the following structure: (i) Introduction, (ii) Relation to existing theories and work, (iii) Research approach, (iv) Findings, (v) Conclusion, and (vi) References.

Review criteria will be (a) whether and (b) how the paper extends the existing body of knowledge in engineering, technology and innovation as its contribution, and (c) therefore its relevance for the conference topics, (d) the scientific quality of the research approach and (e) the clarity of presentation.

Based on the recommendations of the reviewers, the editorial committee will allocate submissions for oral presentation of papers and/or for poster presentations of notes.

All accepted, compliant and plagiarism-free papers will be submitted for publication in the digital conference proceedings to be available via IEEE Xplore® (with ISBN Number and DOI for the paper), only if at least one author pays a full registration fee before the deadline and is presented by an author at the conference.

Templates

Recommended ICE Paper Structure

I. INTRODUCTION
A. Motivation
B. Context
C. Objectives
D. Structure of this paper
II. PREVIOUS WORK & EXISTING THEORIES
III. METHODS
A. Presented Study
B. Research Question(s)
C. Applied Methods
IV. RESULTS
V. DISCUSSION
A. Answering the Research Question(s)

  • Describe how much this study answers to the research question(s) and eventually validate hypothesis, validate the associated model and its related instrument.

B. Match & Contribution

  • Include here everything about how this study contributes, through the creation of new knowledge, to the progress in this research field and to the IEEE TEMS topics (see in the authors' kit).

VI. CONCLUSION
A. Limits of this study

  • Explain the limitations of your study and how it would be possible to overcome these limitations.

B. Concluding Remarks

  • Sum-up the main findings and gained new knowledge.

C. Future Work

  • Present the eventual follow-up work, for example, intended to overcome the current limitations, extend the application to other domains and/or other sectors.

Acknowledgment

Reviewing Process

Papers will only be accepted for review on the condition that the material is original, that it has not been copyrighted, published, presented or is currently submitted for consideration elsewhere.
Please see our ICE 2024 Author’s Kit for detailed instructions about all relevant dates, correct submission of needed documents, and Conference Proceedings.

Review criteria will be:

  • The quality of the contribution to the existing body of knowledge in engineering, technology and innovation.
  • The relevance of the article in regard to the conference topics.
  • The scientific/innovation quality of the approach described in the article.
  • The redaction quality and clarity.

Paper Presentation

Speakers will be allocated 20 minutes for presentation and discussion of their paper. The official language of the conference is English.

PAPERS NOT PRESENTED AT THE CONFERENCE WILL NOT BE INCLUDED IN THE CONFERENCE PROCEEDINGS.

Special Sessions

ICE 2025 Conference invites proposals for Special Sessions to be held in conjunction with the main conference. Special Sessions aim to be a forum to discuss advanced research and innovative solutions developed at R&D projects and industry. Special Sessions may also be devoted to case studies, solutions for industrial sectors, original and successful implementation, standardization issues or road mapping activity. Use the ICE2025 Special Sessions Proposal Form for submitting your proposal.

Special Sessions

OVERVIEW

SS01 - Special Session: Smart grading, handling, and packaging solutions for soft and deformable products in agile and reconfigurable lines
SS02 - Special Session: AI-Driven Industrial Equipment Product Life Cycle Boosting Agility, Sustainability and Resilience
SS03 - Special Session: Digital Modelling and Simulation for Design, Processing and Manufacturing of Advanced Materials
SS04 - Special Session: Autonomous and Self-organized Artificial Intelligent Orchestrator for a Greener Industry 4.0
SS05 - Special Session: Non-destructive inspection technologies for sustainable manufacturing: Zero Waste and Zero Defects approach
SS06 - Special Session: Advancing Human Robot Collaboration in Industry 5.0
SS07 - Special Session: Urban digital and ecological transformation – an IT-Engineering perspective
SS08 - Special Session: AI, Data, and Robotics for a Sustainable Food Supply Chain
SS09 - Special Session: Business Applications of Artificial Intelligence, Data Analytics, and Optimization
SS10 - Special Session: AI for Smart Engineering
SS11 - Special Session: Advanced technical solutions for building management and energy monitoring
SS12 - Special Session: Advancing the European Green Deal: Integrating EDIHs and Innovation Ecosystems for Sustainable Transformation
SS13 - Special Session: Manufacturing-As-A-Service (MaaS) and Smart Manufacturing Networks: A New Era of Supply Chain Resilience
SS14 - Special Session: Cognitive Computing Continuum

Important Dates

SS01 - Smart grading, handling, and packaging solutions for soft and deformable products in agile and reconfigurable lines
02. Mar 2025: Full Paper Submission
31. Mar 2025: Paper Notification of Acceptance
SS02 - AI-Driven Industrial Equipment Product Life Cycle Boosting Agility, Sustainability and Resilience
02. Mar 2025: Full Paper Submission
31. Mar 2025: Paper Notification of Acceptance
SS03 - Digital Modelling and Simulation for Design, Processing and Manufacturing of Advanced Materials
02. Mar 2025: Full Paper Submission
31. Mar 2025: Paper Notification of Acceptance
SS04 - Autonomous and Self-organized Artificial Intelligent Orchestrator for a Greener Industry 4.0
02. Mar 2025: Full Paper Submission
31. Mar 2025: Paper Notification of Acceptance
SS05 - Non-destructive inspection technologies for sustainable manufacturing: Zero Waste and Zero Defects approach
02. Mar 2025: Full Paper Submission
31. Mar 2025: Paper Notification of Acceptance
SS06 - Advancing Human Robot Collaboration in Industry 5.0
02. Mar 2025: Full Paper Submission
31. Mar 2025: Paper Notification of Acceptance
SS07 - Urban digital and ecological transformation – an IT-Engineering perspective
02. Mar 2025: Full Paper Submission
31. Mar 2025: Paper Notification of Acceptance
SS08 - AI, Data, and Robotics for a Sustainable Food Supply Chain
02. Mar 2025: Full Paper Submission
31. Mar 2025: Paper Notification of Acceptance
SS09 - Business Applications of Artificial Intelligence, Data Analytics, and Optimization
02. Mar 2025: Full Paper Submission
31. Mar 2025: Paper Notification of Acceptance
SS10 - AI for Smart Engineering
02. Mar 2025: Full Paper Submission
31. Mar 2025: Paper Notification of Acceptance
SS11 - Advanced technical solutions for building management and energy monitoring
02. Mar 2025: Full Paper Submission
31. Mar 2025: Paper Notification of Acceptance



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Special Sessions

OVERVIEW

SS01 - Special Session: Smart grading, handling, and packaging solutions for soft and deformable products in agile and reconfigurable lines

SS02 - Special Session: AI-Driven Industrial Equipment Product Life Cycle Boosting Agility, Sustainability and Resilience

SS03 - Special Session: Digital Modelling and Simulation for Design, Processing and Manufacturing of Advanced Materials

SS04 - Special Session: Autonomous and Self-organized Artificial Intelligent Orchestrator for a Greener Industry 4.0

SS05 - Special Session: Non-destructive inspection technologies for sustainable manufacturing: Zero Waste and Zero Defects approach

SS06 - Special Session: Advancing Human Robot Collaboration in Industry 5.0

SS07 - Special Session: Urban digital and ecological transformation – an IT-engineering perspective

SS08 - Special Session: AI, Data, and Robotics for a Sustainable Food Supply Chain

SS09 - Special Session: Business Applications of Artificial Intelligence, Data Analytics, and Optimization

SS10 - Special Session: AI for Smart Engineering

SS11 - Special Session: Advanced technical solutions for building management and energy monitoring

SS12 - Special Session: Advancing the European Green Deal: Integrating EDIHs and Innovation Ecosystems for Sustainable Transformation

SS13 - Special Session: Manufacturing-As-A-Service (MaaS) and Smart Manufacturing Networks: A New Era of Supply Chain Resilience

SS14 - Special Session: Cognitive Computing Continuum

Important Dates

SS01: Smart grading, handling, and packaging solutions for soft and deformable products in agile and reconfigurable lines

16 Mar 2025: Full Paper Submission
31 Mar 2025: Paper Notification of Acceptance

SS02: AI-Driven Industrial Equipment Product Life Cycle Boosting Agility, Sustainability and Resilience

16 Mar 2025: Full Paper Submission
31 Mar 2025: Paper Notification of Acceptance

SS03: Digital Modelling and Simulation for Design, Processing and Manufacturing of Advanced Materials

16 Mar 2025: Full Paper Submission
31 Mar 2025: Paper Notification of Acceptance

SS04: Autonomous and Self-organized Artificial Intelligent Orchestrator for a Greener Industry 4.0

16 Mar 2025: Full Paper Submission
31 Mar 2025: Paper Notification of Acceptance

SS05: Non-destructive inspection technologies for sustainable manufacturing: Zero Waste and Zero Defects approach

16 Mar 2025: Full Paper Submission
31 Mar 2025: Paper Notification of Acceptance

SS06: Advancing Human Robot Collaboration in Industry 5.0

16 Mar 2025: Full Paper Submission
31 Mar 2025: Paper Notification of Acceptance

SS07: Urban digital and ecological transformation – an IT-engineering perspective

16 Mar 2025: Full Paper Submission
31 Mar 2025: Paper Notification of Acceptance

SS08: AI, Data, and Robotics for a Sustainable Food Supply Chain

16 Mar 2025: Full Paper Submission
31 Mar 2025: Paper Notification of Acceptance

SS09: Business Applications of Artificial Intelligence, Data Analytics, and Optimization

16 Mar 2025: Full Paper Submission
31 Mar 2025: Paper Notification of Acceptance

SS10: AI for Smart Engineering

16 Mar 2025: Full Paper Submission
31 Mar 2025: Paper Notification of Acceptance

SS11: Advanced technical solutions for building management and energy monitoring

16 Mar 2025: Full Paper Submission
31 Mar 2025: Paper Notification of Acceptance

SS01 - Special Session: Smart grading, handling, and packaging solutions for soft and deformable products in agile and reconfigurable lines

Description
Chair: 
Giovanni Mazzuto
Co-Chair: 
-
The special session will be focused on AGILEHAND project results. AGILEHAND is a Horizon Europe project funded under the call HORIZON-CL4-2022-TWIN-TRANSITION-01-04 “Intelligent work piece handling in a full production line (Made in Europe Partnership) (RIA)” started in January 2023, 3 year of duration. The objective of this workshop is to show the research performed in the project during its first 24 months. AGILEHAND project aims at developing innovative solutions for three key aspects of a workpiece handling system:
  • The "grading" aspect, i.e. knowledge of the workpiece’s characteristics and condition. In particular, the project focuses on a self-calibrating sensing solution for producing a mesh of integrated and overlapping sensors that will improve production-line traceability, agility and reconfigurability. The main gains will be a cost effective, accurate and fast solution to finely grade the quality of delicate and perishable products.
  • The “handling” aspect of soft and deformable products during the Sorting, Handling and Packaging stages. The AGILEHAND project addresses the problems of robotic manipulation, not in the factory setting, but in a more human-oriented environment, where objects are diverse, deformable, and delicate.
  • Aspects of agility, flexibility and reconfigurability in production lines. To build a set of solutions for Agile Production Line Reconfiguration in a mixed-model production system. These AI based solutions, will allow for monitoring, adaptive control and synchronisation of production and logistics flows in a factory, even when faced with a variability of products, production mix or fresh market, guaranteeing high performance in customer response time, and an efficient use of resources.
Topics covered:
  • Product Grading Solutions
  • Self-Calibrating Sensing Solution
  • Deformable, Delicate and perishable products
  • Handling, Sorting and Packaging Solutions
  • Collaborative Robots
  • Robot-Robot
  • Production Line Reconfigurability
  • Agile Production Line
  • Digital Twin
  • Production and Logistic Synchronisation
  • Artificial Intelligence in Operation Management
  • Smart Traceability
  • Resilience
Review Committee:
IEEE ICE/ ITMC 2025 Review Committee

SS02 - Special Session: AI-Driven Industrial Equipment Product Life Cycle Boosting Agility, Sustainability and Resilience

Description
Chair: 
Georgia Apostolou
Co-Chair: 
Ilias Gialampoukidis, Stefanos Vrochidis
In this session, AI technologies that support the entire life cycle of industrial equipment (design, manufacturing, use, and repair/reuse/recycle) will be presented and discussed as a strategic instrument to improve the sustainability, agility, and resilience of European machinery manufacturing companies. Machinery industry in Europe is a basis for employment, growth and wealth, with around 3.2 million people employed. Industrial equipment is considered a key enabler for industrial development and the EU has a historically strategic position in this sector. However, it lives from a technological edge in a very competitive landscape. Hereby, it is crucial to provide all stakeholders of the EU with AI technologies that guarantee a resilient design, deployment and reuse of industrial equipment for an increased global competitiveness and a reinforcement of its industrial strategic autonomy and resiliency. The Horizon Europe AIDEAS project will develop AI technologies for supporting the entire lifecycle (design, manufacturing, use, and repair/reuse/recycle) of industrial equipment as a strategic instrument to improve sustainability, agility and resilience of the European machinery manufacturing companies. AIDEAS will deploy 4 integrated Suites: 1) Design: AI technologies, integrated with CAD/CAM/CAE systems, for optimising the design of industrial equipment structural components, mechanisms and control components; 2) Manufacturing: AI technologies for industrial equipment purchased components selection and procurement, manufactured parts processes optimisation, operations sequencing, quality control and customisation; 3) Use: AI technologies with added value for the industrial equipment user, providing enhanced support for installation and initial calibration, production, quality assurance and predictive maintenance for working on optimal conditions; 4) Repair-Reuse-Recycle: AI technologies for extending the useful life of machines through prescriptive maintenance (repair), facilitating a second life for machines through a smart retrofitting (reuse) and identification of the most sustainable end-of-life (recycle).
Review Committee:
IEEE ICE/ ITMC 2025 Review Committee

SS03 - Special Session: Digital Modelling and Simulation for Design, Processing and Manufacturing of Advanced Materials

Description
Chair: 
Ioannis Papadimitriou
Co-Chair: 
Ilias Gialampoukidis, Stefanos Vrochidis
The European materials industry, a cornerstone of industrial development, holds strategic importance in the global economy. However, it faces challenges in integrating digital technologies effectively—a gap that, if bridged, could drive unprecedented agility and competitiveness within the sector. To address this need, the DiMAT project aims to revolutionize the digital capabilities of European small and medium-sized enterprises (SMEs) and mid-sized companies by developing accessible, comprehensive digital solutions. This session will showcase DiMAT’s contribution to the digital transformation of the European materials industry, enabling a data-driven, predictive, and highly optimized approach to materials science and manufacturing. DiMAT focuses on delivering Open Digital Tools comprising three integrated suites that address distinct stages of the material value chain, namely design, processing, and manufacturing. These suites support end-to-end workflows from initial data management and material design to simulation-based optimization, providing a full-cycle solution that is both affordable and user-friendly. The session will include detailed demonstrations of DiMAT in action, focusing on its application within four pilot industries—textiles, composites, glass, and graphite. These demonstrations will underscore the practical impact of DiMAT’s tools in real-world manufacturing environments, highlighting improvements in quality, sustainability, and operational effectiveness across diverse material sectors. Through presentations from leading experts, case studies from pilot projects, and discussions on industry-wide challenges, this session will provide valuable insights for stakeholders interested in advancing Europe’s materials industry. Attendees will gain a comprehensive understanding of how DiMAT’s digital tools can serve as a critical enabler for innovation, fostering a more competitive, resilient, and sustainable European materials sector.
Review Committee:
IEEE ICE/ ITMC 2025 Review Committee

SS04 - Special Session: Autonomous and Self-organized Artificial Intelligent Orchestrator for a Greener Industry 4.0

Description
Chair: 
Maria Dolores Boluda Prieto
Co-Chair: 
Faustino Alarcón
Next-generation industrial systems promise to deliver unprecedented excellence not only in terms of performance, but also explainability, trustworthiness and transparency. To achieve this new objectives, state-of-the-art concepts of artificial intelligence (AI), edge-to-cloud (E2C) computing, blockchain, and visualisation need to be de-risked and applied. Motivated by this, the Horizon Europe TALON project aims at sculpturing the road towards the next Industrial revolution by developing a fully-automated AI architecture capable of bringing intelligence near the edge in a flexible, adaptable, explainable, energy and data efficient manner. TALON architecture consists of three fundamental pillars: a) an AI orchestrator that coordinates the network and service orchestrators in order to optimise the edge vs cloud relationship, while boosting reusability of datasets, algorithms and models by deciding where each one should be placed; b) a lightweight hierarchical blockchain schemes that introduce new service models and applications under a privacy and security umbrella; and c) new digital-twin empowered transfer learning and visualization approaches that enhance AI trustworthiness and transparency. It combines the benefits of AI, edge and cloud networking, as well as blockchain and DTs, optimized by means of a) new key performance indicators that translate the AI benefits into insightful metrics; b) novel theoretical framework for the characterisation of the AI; c) blockchain used to deliver personalised & perpetual protection based on security, privacy and trust mechanisms; d) AI approaches for automatically and co-optimising edge and cloud resources as well as the AI execution nodes; e) semantic AI to reduce the learning latency and enhance reusability; and f) digital twins that visualize the AI outputs and together with human-in-the-loop approaches. All the technological breakthroughs are demonstrated, validated and evaluated by means of proof-of-concept simulation and four real-world pilots.
Review Committee:
IEEE ICE/ ITMC 2025 Review Committee

SS05 - Special Session: Non-destructive inspection technologies for sustainable manufacturing: Zero Waste and Zero Defects approach

Description
Chair: 
Joan Lario Femenía
Co-Chair: 
Sandra Morales Martinez
The integration of non-destructive inspection (NDI) systems, AI-driven software, and digital twins and robotics in manufacturing can significantly improve product quality and production efficiency.  Different  challenges include managing signals from various sources, ensuring interoperability, and enabling data sharing and analysis. Addressing these issues requires a standardized management infrastructure that aligns quality control and production performance seamlessly, underscoring the urgency of these issues. Achieving Zero Defects and Zero Waste (ZDZW) solutions in manufacturing calls for collaboration among diverse stakeholders like telecommunications, software, material science, and R&D professionals. In Europe, industries must undergo digital transformation to stay competitive, with non-destructive inspection technology (NDIT) as a key component. The Inspection as a Service (IaaS) and blockchain technology fosters trust and allows multiple stakeholders to share data efficiently within a marketplace platform, promoting business agility and collaborative innovation. In conventional industrial robot applications, robots typically handle repetitive tasks such as welding, handling, and painting, but recent advances in sensors, algorithms, and communication protocols enable robots to work safely alongside human operators. Robots can perform routine tasks in this new collaborative setup, allowing human workers to focus on complex, value-added operations. These systems enable a real-time, dynamic decision-making environment that enhances safety and productivity in human-robot collaboration. The special session will showcase ongoing real-world applications across industries, universities, and research centers. These sessions will explore challenges related to the integration of advanced technologies like non-destructive inspection technologies, blockchain, collaborative robotics, data spaces, and AI for real-time defect detection and quantification. Emphasis will be on overcoming issues like interoperability, standardization, and secure data environments, demonstrating how innovative technology integration can revolutionize production defect management and quality assurance in modern manufacturing for sustainable manufacturing.
Review Committee:
IEEE ICE/ ITMC 2025 Review Committee

SS06 - Special Session: Advancing Human Robot Collaboration in Industry 5.0

Description
Chair: 
Avram Oliver
Co-Chair: 
Juan Francisco Blanes, Fernando Castaño, Francisco Fraile
The integration of robotics and artificial intelligence (AI) is rapidly transforming industrial landscapes, particularly within the realm of smart manufacturing. Human-robot collaboration (HRC) lies at the heart of this transformation, promising enhanced productivity, safety, and adaptability in production processes. This special session aims to showcase the  advancements achieved by  prominent European Union-funded research projects: AI-PRISM (https://aiprism.eu/), FLUENTLY (https://www.fluently-horizonproject.eu/), and FORTIS (https://fortis-project.eu/), focused on key Industry 5.0 requirements like human centeredness, usability, and trustworthiness in human-robot interaction across various sectors. The session will highlight how these projects, through their complementary research objectives, address critical challenges and unlock new possibilities in HRC. Key areas of synergy explored in the special session include Human-Centric Design, AI-Powered HRC, and lessons learned in real-world HRC applications.  FLUENTLY, FORTIS and AI-PRISM prioritize the integration of human factors in their approaches. FLUENTLY envisions revolutionary components to transform human robot interaction, FORTIS emphasizes modeling and analyzing human behavior to enable robots to interact in a human-like way, while AI-PRISM focuses on creating a human-centered AI-based ecosystem that empowers robots to understand, reason, and interact with human workers effectively. Among other key technologies, contributions will present novel multimodal intuitive and user-friendly interfaces for HRC, novel robot training concepts and facilities, as well as Ai algorithms to enhance perception, reasoning, and control capabilities of collaborative robots in various manufacturing settings. The special session will also emphasize the practical implementation of research findings through pilot demonstrations in a wide range of settings. FORTIS targets sectors like construction, infrastructure services, and manufacturing, FLUENTLY targets electric battery dismantling and recycling, inspection and maintenance of turbojet engine parts, and metal part inspection and repairing. Finally, AI-PRISM focuses on  real-world manufacturing scenarios that are particularly challenging for HRC, in industries such as furniture, electronics, and food & beverages.
Review Committee:
IEEE ICE/ ITMC 2025 Review Committee

SS07 - Special Session: Urban digital and ecological transformation – an IT-Engineering perspective

Description
Chair: 
Prof. Dr.-Ing. Dieter Uckelmann
Co-Chair: 
Dr. Alain Zarli
The forthcoming special session on "Advanced IT Models and Tools to Catalyze an Engineering Shift in Circular Construction, Renovation, and Operation in the Built Environment and Urban Infrastructures" aims to explore the cutting-edge advancements in information technology that drive sustainable and circular practices in design, construction, building operation and urban infrastructure management. This session will gather experts from academia and industry to discuss innovative models and tools that facilitate the digital transformation for enhanced circular economies in the built environment. Topics will include digital twin technologies, Building Information Modeling (BIM), lifecycle assessment (LCA) tools, frameworks for smart buildings and districts, and data-driven decision-making processes. By highlighting interdisciplinary approaches and case studies, the session will showcase how advanced IT solutions can optimize resource utilization, minimize waste, and enhance the resilience of urban buildings and infrastructures. Topics of relevance are (non-exhaustive list): Digital Twin Technologies:
  • Integration of digital twins in construction and urban planning
  • Real-time monitoring and control of buildings and infrastructures
  • Case studies on digital twins improving resource efficiency and sustainability
Building Information Modeling (BIM):
  • Advances in BIM for circular construction
  • Interoperability and data exchange standards
  • Applications of BIM in renovation and refurbishment projects
Smart Building, District and City Frameworks:
  • IT models supporting smart urban infrastructure
  • Integration of IoT and sensor networks for urban management
  • Data-driven approaches for optimizing urban operations and services
IT Usage for Circular Economy in Construction:
  • IT solutions enabling pre-fabricated recycling and reuse
  • Automatic identification, data capturing and sensing in Industrial Construction
  • Case studies on IT-based circular construction practices
Data-Driven Decision Making:
  • Utilization of big data and analytics in construction and infrastructure projects
  • Decision support systems for sustainable urban development
  • Role of AI and machine learning in optimizing construction processes
Sustainable Design and Construction Practices:
  • IT tools supporting eco-design and sustainable architecture
  • Green building certification and compliance through advanced IT
  • Innovative materials and construction methods enabled by IT
Urban Infrastructure Resilience:
  • IT models for assessing and enhancing the resilience of urban infrastructure
  • IT-based climate adaptation strategies in the built environment
By addressing these topics, the special session will provide a comprehensive overview of some of the technological innovations driving the engineering shift towards sustainable and circular practices in the construction and management of urban environments.
Review Committee:
IEEE ICE/ ITMC 2025 Review Committee

SS08 - Special Session: AI, Data, and Robotics for a Sustainable Food Supply Chain

Description
Chair: 
Francisco Fraile
Co-Chair: 
-
This special session will explore the potential of Artificial Intelligence (AI), Data, and Robotics in creating a more sustainable, efficient, and circular food production supply chain. The session will bring together insights from two EU-funded projects: FEROX (https://ferox.fbk.eu/)  and CLARUS (https://clarus-project.eu/), focusing on different stages of the food production process. Sustainable and circular production practices are highly relevant in food production due to the significant environmental impact and the growing need for resource efficiency in the sector. In the context of harvesting, the main focus of the FEROX project, traditional harvesting methods often lead to underutilization of the available crops. By integrating AI, data, and robotics, harvesting practices can be optimized to increase yield while minimizing environmental and social impact. Within food processing, in the scope of CLARUS, AI-driven solutions can play a vital role in reducing waste, optimizing resource consumption to minimize environmental impact (focusing on resources like electric energy or water). The concept of circularity extends to bi-product processing, where valuable materials from food production waste streams can be recovered and reused. For instance, the CLARUS project also aims to enhance the quality of recycled materials from meat by-product processing by optimizing logistics. This approach not only reduces waste but also creates new value streams, contributing to a more circular and sustainable food production ecosystem. The session will be structured around the presentation of peer-reviewed papers, providing attendees with  the latest research and innovations in the field. The papers will showcase the use of AI, data, and robotics in different food production settings , including as mentioned above harvesting, food production, or food by-product processing. The technologies to be explored in the special session include Industrial Data Spaces, Unmanned Aerial Vehicles, AI models, or Industrial Internet of Things (IIoT), applied to the domain of food production.
Review Committee:
IEEE ICE/ ITMC 2025 Review Committee

SS09 - Special Session: Business Applications of Artificial Intelligence, Data Analytics, and Optimization

Description
Chair: 
Angel A. Juan
Co-Chair: 
-
In a data-driven world, businesses are increasingly turning to advanced technologies like Artificial Intelligence (AI), Data Analytics, and Optimization to gain a competitive edge, improve decision-making, and drive operational efficiency. This session explores how these powerful tools are transforming business practices across industries. The session aims at collecting real-world applications of AI and discover how businesses are employing data analytics to uncover insights and enhance customer experiences. The session also includes techniques that help companies improve operations, reduce costs, and maximize value. Through case studies, expert insights, and research studies, this session will show how AI, data analytics, and optimization work in coordination to drive innovation, increase profitability, and create sustainable growth.
Review Committee:
IEEE ICE/ ITMC 2025 Review Committee

SS10 - Special Session: AI for Smart Engineering

Description
Chair: 
Li Li
Co-Chair: 
Ying Liu
In the rapidly evolving landscape of engineering, the integration of Artificial Intelligence (AI) is revolutionizing traditional methodologies and opening new horizons in smart engineering. The "AI for Smart Engineering" special session aims to gather researchers, engineers, and practitioners from academia and industry to share their insights, challenges, and advancements in applying AI technologies to various engineering disciplines. This session will explore cutting-edge topics such as: Machine Learning methods for PHM; Advanced methods/algorithms for diagnostics/self-diagnostics of cyber-physical system; Advanced methods/algorithms for prognostics/self-prognostics of cyber-physical system; Degradation and reliability assessment for cyber-physical system; Digital twin for reliability and maintenance of industry 4.0; Predictive/prescriptive maintenance policies for industry 4.0; Reinforcement Learning for maintenance decision-making. Additionally, it will highlight the role of AI in enhancing safety, efficiency, and sustainability across manufacturing. By fostering interdisciplinary collaboration and knowledge exchange, this special session seeks to accelerate the development and deployment of innovative AI solutions that can address complex engineering problems and contribute to building smarter, more resilient systems. Participants will have the opportunity to engage in discussions on ethical considerations, regulatory frameworks, and the future directions of AI in engineering.
Review Committee:
IEEE ICE/ ITMC 2025 Review Committee

SS11 - Special Session: Advanced technical solutions for building management and energy monitoring

Description
Chair: 
Athina Tsanousa
Co-Chair: 
Stefanos Vrochidis, Beatriz Andres
This special session will focus on discussing advanced AI and analytics methods for integrating diverse data sources to achieve a comprehensive understanding of building operations. The goal is to share knowledge on data-driven tools for building performance management and AI-enhanced lifecycle data-driven decision support tools. Key research topics include energy optimization, sustainability, occupant comfort, and risk assessment in building environments. The Horizon Europe DATAWiSE project will develop and test building and building portfolio management tools, leveraging cross-sectoral lifecycle data on the basis of an open, secure, interoperable, and scalable framework. Utilizing cutting-edge artificial intelligence and advanced analytics, the methodology will integrate data from a variety of sources to provide a holistic understanding of building operations. DATAWiSE will design and implement a scalable data architecture that ensures data quality, privacy, interoperability, and sharing, and a Data Sharing Platform that will not only ensure interoperability and scalability but will also prioritize data sovereignty to secure data handling and preserve ownership control. DATAWiSE will develop: i) a Data-driven Building Performance Management (DBPM) toolkit which will harness Building Information Modeling (BIM) data in conjunction with advanced data mining techniques through a digital twin. ii) An AI-enhanced Lifecycle Data-driven Decision Support (LD2S) toolkit. This will serve as a versatile solution for well-informed decision-making across planning, renovation, and sustainability domains. Through these tools, the project will offer a suite of added-value services aimed at optimizing building management in various aspects: Electrical and Thermal Flexibility Management; AI-Powered Energy Forecasting and Optimization; Smart Sustainability & Comfort Balancing for Building Occupants; Adaptive Building Risk & Resilience Assessment; Circular Lifecycle Assessment; Predictive Maintenance; Integrated Sustainability Performance Management; Smart Readiness Assessment. Besides technological innovation, the project also incorporates a supportive market and policy framework designed to offer evidence-based pathways for widespread adoption and commercialization. An increasing demand in sustainable buildings and energy efficiency has led to a rise in the development and adoption of technical tools used in building management. Such tools rely on large amounts of data and advanced analytic techniques in order to monitor energy consumption, thermal conditions, water treatment and indoor air quality. This special session intends to invite papers describing such technical solutions applied in the building industry and more specifically in the building management and building portfolio management. Topics:
  • Digital twin in building management tools
  • LLM applications for energy monitoring and building management
  • AI solutions for energy monitoring
  • Advanced data analytic solutions for predictive maintenance in building management
Review Committee:
IEEE ICE/ ITMC 2025 Review Committee

SS12 - Special Session: Advancing the European Green Deal: Integrating EDIHs and Innovation Ecosystems for Sustainable Transformation

Description
Chair: 
Maria Roca
Co-Chair: 
-
This session will explore the transformative role of European Digital Innovation Hubs (EDIHs) and innovation ecosystems, such as Testing and Experimentation Facilities (TEFs), in advancing the objectives of the European Green Deal. Through a dynamic panel discussion, interactive workshops, and real-world case studies, we will delve into how these entities foster sustainable digital transformation across sectors. Attendees will gain insights into collaborative strategies, hear from SMEs and beneficiaries supported by these ecosystems, and learn about funding opportunities to drive innovation for climate neutrality.
Review Committee:
-

SS13 - Special Session: Manufacturing-As-A-Service (MaaS) and Smart Manufacturing Networks: A New Era of Supply Chain Resilience

Description
Chair: 
Maria José Nuñez
Co-Chair: 
-
This session will feature a dynamic panel discussion on strategies to adapt and enhance the management of supply network interactions and manufacturing operations in the face of disruptions or unexpected events. Supply chains today are increasingly vulnerable to a wide range of challenges, including natural disasters, pandemics, health crises, extreme weather conditions, geopolitical instability, supplier issues, machine failures, and transportation delays. These disruptions can have far-reaching consequences, affecting manufacturing facilities, transportation infrastructure, and supply chain routes—often leading to factory closures and interruptions in logistics. To address these challenges, the need for more agile and resilient supply chains has never been greater. By leveraging innovative strategies and cutting-edge technologies, organizations can bridge performance gaps and build robust, adaptive supply chains. A key focus of the session will be the Smart Manufacturing Network (SMN), a connected and self-orchestrated ecosystem that integrates programmable Manufacturing-as-a-Service (MaaS) capabilities. Designed to withstand disruptions, SMNs provide real-time visibility and control, enabling manufacturing networks to respond proactively and maintain operational continuity. The session will explore practical examples and innovative solutions that highlight the transformative potential of SMNs in creating resilient supply chains for the future.
Review Committee:
-

SS14 - Special Session: Cognitive Computing Continuum

Description
Chair: 
Usman Wajid
Co-Chair: 
Alexandros Nizamis
This panel session will bring together the researchers and practitioners to discuss the state of art and impeding challenges with regards to dynamic connectivity of edge-cloud resources and brining more intelligence and automation in the edge-cloud continuum. This panel session will be primarily supported by the EC funded projects (ENACT, EMPYREAN, INTEND, SWARMCHESTRATE, MYRTUS, HYPERAI, COGNETS) from the Horizon Europe CL4-2023-DATA-01-04 call focusing on edge-cloud continuum. The session will include presentations from ongoing projects/initiatives, followed by panel discussion on thematic topics of interest, such as dynamic discovery and connectivity of heterogeneous resources in the edge-cloud continuum, dynamic deployment of applications/services and orchestration of distributed resources, AI-based automation and adaption of resource management, applications design and deployment optimisation for edge-cloud continuum, security, privacy and energy efficiency of distributed applications and hardware, software and AI models for supporting the application deployment and execution opportunities in the edge-cloud continuum.
Review Committee:
-

ST001 - Special Track: Data-Driven and Impact-Oriented Entrepreneurship Research

Description
Chair: Dr. Kevin Reuther - University, Fraunhofer IMW
Co-Chair: Prof. Yngve Dahle - University of South-Eastern Norway, Fraunhofer IMW

Entrepreneurship constitutes an important factor for economic growth, societal progression as well as individual self-realization. It is broadly defined as an activity that involves the discovery, evaluation and exploitation of opportunities to introduce new goods and services, ways of organizing, markets, processes, and raw materials. In recent years, there has been an increasing call for data-driven and evidence-based research to help understanding how entrepreneurial activities can best be supported, what components and surrounding factors make successful entrepreneurial ecosystems and what established companies can learn from entrepreneurial activities. Moreover, the exploration of opportunities from emerging technologies (e.g., artificial intelligence, nanotechnology, quantum computing, etc.) has gained traction, investigating how deep tech start-ups contribute to solving complex social and environmental challenges such as climate change, human health, advances systems and infrastructure. This special track comprises four sessions focusing on different areas in the entrepreneurship research field. Each session invites high-quality papers contributing to data-driven and impact-oriented research in the entrepreneurship field using new methods, novel datasets or novel perspectives on established datasets and focusing on the impact generated by or for the entrepreneurial activities to be investigated.

  • The Role of Robotics in Industry 5.0
  • Creative Robotics in Industry 5.0
  • Human-Centric Approaches to Robotics and Automation
  • Sustainable Manufacturing Practices
  • Technological Innovations for Industry 5.0
  • Technological Synergies for a Sustainable Future
Review Committee:
  • André Rocha - UNINOVA
  • José Barata - UNINOVA
  • Sanaz Nikghadam - UNINOVA
  • Luís Ribeiro - Linköping University
  • Nelson Rodrigues - DTx
  • Pedro Ferreira - Loughborough University
Event Location

Valencia, Spain

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