Papers will be selected in a double-blind refereeing process based on the submitted full papers.
Final papers should have no more than 7.000 words (max. 9 pages all inclusive) 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.
Oral 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.
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 2026 Author's Kit for detailed instructions about all relevant dates, correct submission of needed documents, and Conference Proceedings.
Review criteria will be:
Based on the recommendations of the reviewers, the editorial committee will allocate submissions for oral presentation of papers and/or for poster presentations.
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.
Conference content will be submitted for inclusion into IEEE Xplore and other Abstracting and Indexing (A&I) databases. All A&I providers can be found here: http://ieeeauthorcenter.ieee.org/when-your-article-is-published/abstracting-indexing-ai-databases/ and include amongst others Scopus and Web of Science
Authors of approved and selected papers will be invited to publish in special issues organized by prestigious indexed International Journals, subject to the international scientific rules for referee (list to be available soon).
The below standardized paper structure that authors should implement is intended for making sure reviewers will easily find out key assessment aspects:
*This particular sub-section is the place where authors have to explain how much their paper/study matches with and contributes to both Conference 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.
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
16 Mar 2025: Full Paper Submission
31 Mar 2025: Paper Notification of Acceptance
16 Mar 2025: Full Paper Submission
31 Mar 2025: Paper Notification of Acceptance
16 Mar 2025: Full Paper Submission
31 Mar 2025: Paper Notification of Acceptance
16 Mar 2025: Full Paper Submission
31 Mar 2025: Paper Notification of Acceptance
16 Mar 2025: Full Paper Submission
31 Mar 2025: Paper Notification of Acceptance
16 Mar 2025: Full Paper Submission
31 Mar 2025: Paper Notification of Acceptance
16 Mar 2025: Full Paper Submission
31 Mar 2025: Paper Notification of Acceptance
16 Mar 2025: Full Paper Submission
31 Mar 2025: Paper Notification of Acceptance
16 Mar 2025: Full Paper Submission
31 Mar 2025: Paper Notification of Acceptance
16 Mar 2025: Full Paper Submission
31 Mar 2025: Paper Notification of Acceptance
16 Mar 2025: Full Paper Submission
31 Mar 2025: Paper Notification of Acceptance
This Special Track explores how Artificial Intelligence (AI) is transforming Technology Management (TM) across strategy, innovation, and organizational decision-making. As AI becomes a central enabler of digital transformation, technology managers increasingly rely on data-driven methods to support technology planning, forecasting, roadmapping, portfolio management, and innovation processes.
The track brings together scientific paper sessions, interactive workshops, and an expert panel discussion to examine both theoretical advances and real-world applications of AI for Technology Management. Topics include AI-supported decision-making, generative AI for R&D and product development, innovation management, foresight, and the organizational and human-centered implications of AI adoption. The track aims to foster dialogue between academia and practice, highlighting AI as both a managerial tool and a transformative force shaping future technology strategies.
This Special Track focuses on human-centred digital transformation, highlighting the shift from technology-driven to people-driven innovation. As AI, automation, immersive technologies, and connected platforms evolve, organizations increasingly prioritise solutions that enhance human performance, skills, creativity, and collaboration rather than merely optimising processes.
The track combines scientific paper sessions, interactive workshops, and an expert panel discussion to explore emerging architectures, intelligent interfaces, AI-augmented tools, immersive learning environments, and new forms of human–machine collaboration. Contributions span engineering, industry, healthcare, and education, addressing ethical, inclusive, and responsible design. The track aims to bridge research and practice, positioning humans as active drivers of innovation in future-ready digital ecosystems.
This Special Track explores how circular product economies are reshaping industrial value creation in response to resource scarcity, regulatory pressure, and growing sustainability and resilience demands. Moving beyond linear models, organizations are increasingly adopting approaches such as product take-back, upgrading, modular design, and product-as-a-service to extend product life cycles and retain value within industrial systems.
The track brings together scientific paper sessions, interactive workshops, and a panel to examine theoretical developments and practical implementations related to circular logistics, digital infrastructures, and new value capture mechanisms across extended value networks. It aims to foster dialogue between academia and practice on managing the transition toward digitally enabled circular industrial ecosystems.
This Special Session addresses the challenges of transforming AI from experimental prototypes into robust, scalable, and trustworthy systems operating in real-world environments. It focuses on end-to-end AI pipelines, spanning data foundations, model development, deployment, monitoring, and continuous adaptation across the AI lifecycle.
The session brings together recent research and applied experiences in data-centric AI, MLOps, hybrid science- and data-driven models, explainable AI, and human-in-the-loop approaches. Emphasis is placed on techniques that enable AI systems to adapt over time while ensuring transparency, accountability, regulatory alignment, and performance guarantees.
Contributions are invited that bridge methodological advances with industrial practice, showcasing architectures, tools, and lessons learned from complex AI deployments across sectors such as manufacturing, energy, health, and robotics.
This Special Session explores how modular, ecosystem-based approaches can enable the transition from rigid industrial value chains to dynamic value networks in the context of Software-Defined Manufacturing (SDM). While digitalisation has created significant innovation potential, many industrial initiatives still face challenges related to scalability, complexity, cost, and adoption.
The session addresses technological, organisational, and human-centred perspectives that support ecosystem-driven manufacturing, where interoperable software, hardware, standards, and processes enable continuous, distributed value creation. Contributions are invited that identify structural limitations of current production systems, as well as concept papers, architectures, case studies, and partial solutions that advance modular ecosystems and SDM practices across industrial domains.
This Special Session addresses the transition towards AI-enabled, service-oriented manufacturing systems, focusing on how manufacturing capabilities can be engineered, deployed, and evaluated as interoperable digital services. While AI adoption in manufacturing is accelerating, significant challenges remain in integrating AI-based services across organisational boundaries while ensuring performance, trust, scalability, and governance.
The session focuses on interoperable architectures, integration of AI components across the edge–shop-floor–cloud continuum, and the validation of AI-enabled manufacturing services in realistic industrial settings. Contributions are invited that present engineering approaches, deployment strategies, industrial case studies, and evaluation frameworks, bridging the gap between research prototypes and deployable, robust industrial solutions for planning, scheduling, quality, maintenance, and resource coordination.
This Special Session focuses on the trustworthy and responsible deployment of autonomous AI agents as a core enabler of digital transformation across enterprises, supply chains, and public services. While agentic AI offers significant potential for competitiveness and efficiency, increased autonomy introduces new challenges related to security, privacy, governance, transparency, and accountability.
The session invites contributions addressing preparedness, runtime supervision, monitoring, and assurance of AI agents operating in complex socio-technical systems. Topics include secure scaling of AI agents, multi-agent trust and communication, privacy-preserving data access, regulatory compliance, and human-centric governance models. Emphasis is placed on real-world deployments, industrial case studies, and validation results that connect technical controls with organizational processes, skills, and responsible innovation practice.
This Special Session explores the dual role of the Internet of Things (IoT) in advancing environmental sustainability while addressing the sustainability challenges introduced by large-scale IoT deployment. It focuses on how IoT can improve resource efficiency—including water, energy, and raw materials—across industrial and urban ecosystems such as Industry 4.0, smart cities, smart buildings, agriculture, and homes.
The session invites contributions presenting experimental and simulation-based case studies, eco-design and circular approaches for IoT devices and solutions, life cycle assessment (LCA) studies, and analyses of the environmental impact of AI-enabled IoT systems. Emphasis is placed on evidence-based results, comparative studies, and scalable solutions that support sustainable digital transformation.
This Special Session focuses on next-generation Human–Robot Interaction (HRI) as a key enabler of future industrial and service ecosystems. As collaborative robotics expands across manufacturing, construction, and infrastructure services, humans and robots must interact safely, intuitively, and effectively in dynamic and safety-critical environments.
The session invites contributions addressing AI-driven perception and cognition, multimodal interaction, middleware interoperability, and human-centric approaches for trustworthy and adaptive collaboration. Emphasis is placed on scalable and modular robotic architectures that support safe cooperation and context-aware behaviour. Contributions related to ongoing European initiatives, such as FORTIS, JARVIS, and ARISE, are particularly welcome, bridging advanced HRI research with real-world deployment and industrial impact.
This Special Session brings together researchers, innovators, and practitioners to explore dynamic intelligence, connectivity, and automation across the edge–cloud continuum. As distributed systems increasingly span heterogeneous edge and cloud resources, new approaches are required to enable seamless integration, adaptive orchestration, and intelligent resource management.
The session invites high-quality contributions presenting architectures, prototypes, and lessons learned from Horizon Europe projects and related initiatives, as well as independent research on distributed computing. Topics include AI-driven orchestration, security and trustworthiness, energy efficiency, federated learning, swarm intelligence, data spaces, and next-generation hardware and software technologies. The session aims to foster collaboration and shape future directions for cognitive, resilient, and efficient edge–cloud computing infrastructures.
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.
Alfândega Porto Congress Center
Porto, Portugal