Journal of Intelligent Industrial Convergence: Announcements
Journal of Intelligent Industrial Convergence (ISSN: 3143-0651) View All Insights
Aims and Scope The Journal of Intelligent Industrial Convergence publishes interdisciplinary research that advances theory, methods, systems, and applications for intelligent industrial development. The journal particularly welcomes studies that connect technological innovation with real industrial scenarios, including manufacturing, logistics, energy, infrastructure, construction, transportation, healthcare engineering, agriculture, and service systems. JIIC encourages submissions that combine technical rigor, industrial relevance, analytical depth, and practical value. Papers should clearly demonstrate their contribution to intelligent industrial convergence, whether through new algorithms, system architectures, empirical evidence, simulation models, industrial case studies, platform design, or theoretical frameworks. Topics of Interest Suggested topics include, but are not limited to: Intelligent Manufacturing and Industry 4.0/5.0 Smart factories and intelligent production systems Industry 4.0 and Industry 5.0 technologies Human-centered manufacturing and Operator 4.0 Intelligent process control and production optimization Advanced manufacturing systems and flexible production Smart quality inspection and defect detection Industrial Artificial Intelligence and Data Analytics Machine learning and deep learning for industrial applications Explainable AI for industrial decision-making Predictive analytics and prescriptive analytics in manufacturing Industrial big data analytics and decision intelligence AI-driven production scheduling and resource allocation Foundation models and generative AI for industrial systems Digital Twins and Cyber-Physical Systems Digital twins for smart manufacturing and industrial operations Cyber-physical production systems Real-time simulation and virtual commissioning Model-based systems engineering for industry Digital thread and product lifecycle intelligence Industrial metaverse and immersive industrial analytics Industrial Internet of Things and Edge Intelligence Industrial Internet of Things architecture and applications Edge computing and edge AI for industrial environments Industrial sensor networks and real-time monitoring Intelligent embedded systems Cloud-edge collaboration in industrial platforms Data fusion and event-driven industrial intelligence Industrial Cybersecurity and Resilience Cybersecurity for industrial control systems OT security and IIoT security DDoS detection and intrusion detection in industrial networks AI-enabled industrial threat intelligence Cyber-resilience of smart factories and critical infrastructure Privacy-preserving industrial data sharing Robotics, Automation, and Autonomous Industrial Systems Industrial robotics and collaborative robots Autonomous manufacturing systems Human-robot collaboration Intelligent motion control and robotic perception Robotic process automation in industrial environments Smart assembly and automated inspection Smart Logistics and Industrial Supply Chains Intelligent logistics and warehouse automation Digital supply chain platforms AI-enabled supply chain risk management Blockchain-enabled traceability and trusted industrial data Smart ports, smart transportation, and industrial distribution systems Resilient industrial supply networks Sustainable and Green Industrial Convergence Green manufacturing and low-carbon industrial systems Energy-aware production optimization Circular manufacturing and industrial sustainability Smart energy management in factories Carbon monitoring and industrial decarbonization Sustainable industrial digital transformation Emerging Industrial Technologies Additive manufacturing, 3D printing, and 4D printing Smart materials and intelligent product design Quantum computing for industrial systems Blockchain and Web 3.0 for industrial applications 5G/6G-enabled industrial communication Augmented reality and virtual reality for industrial operations Article Types JIIC welcomes the following manuscript types: Original Research Articles Full-length research papers presenting novel methods, models, systems, experiments, or empirical findings. Review Articles Comprehensive, critical, and systematic reviews of emerging topics in intelligent industrial convergence. Technical Reports Papers introducing industrial platforms, technical systems, architectures, prototypes, or engineering implementations. Case Studies Practical studies based on real industrial projects, enterprise applications, manufacturing systems, or technology deployment cases. Short Communications Concise reports on emerging ideas, preliminary results, new datasets, methods, or timely industrial technology issues. Perspective Articles Forward-looking discussions on future industrial technologies, policy challenges, ethical issues, and research directions. Submission Requirements Manuscripts should present clear research questions, sound methodology, rigorous analysis, and a well-defined contribution to intelligent industrial convergence. Submissions should be original, unpublished, and not under consideration elsewhere. Authors are encouraged to ensure that manuscripts include: A clear statement of research contribution Strong connection to intelligent industrial systems Appropriate methodology, experiment, simulation, or case evidence High-quality figures and tables Transparent data, algorithm, or model descriptions where applicable Complete references in the required journal style Ethical, funding, conflict-of-interest, and AI-use statements Peer Review Process All submitted manuscripts will undergo editorial screening followed by peer review. The review process evaluates originality, technical quality, methodological rigor, clarity, relevance to the journal scope, and contribution to the field of intelligent industrial convergence. Manuscripts may be accepted, returned for revision, or rejected based on reviewer recommendations and editorial judgment. Why Submit to JIIC? The Journal of Intelligent Industrial Convergence provides a focused venue for research that connects advanced intelligent technologies with industrial transformation. The journal emphasizes: Interdisciplinary research across AI, engineering, manufacturing, and industrial systems Practical relevance to real industrial applications International editorial and reviewer perspectives Open academic exchange on Industry 4.0 and Industry 5.0 development Timely publication of emerging technologies and industrial innovation research Suggested Manuscript Themes for Upcoming Issues Authors are especially invited to submit papers on the following themes: AI-Driven Smart Manufacturing and Industrial Automation Digital Twins for Intelligent Factory Operations Industrial Cybersecurity and Resilient IIoT Systems Human-Centered Industry 5.0 and Collaborative Robotics Big Data Analytics for Production and Supply Chain Intelligence Blockchain and Trusted Industrial Data Sharing Sustainable Manufacturing and Green Industrial Transformation Generative AI and Foundation Models for Industrial Applications Edge Intelligence and Real-Time Industrial Decision Systems Cyber-Physical Systems for Smart Infrastructure and Heavy Industry Submission Information Journal Title: Journal of Intelligent Industrial Convergence Abbreviation: JIIC Article Language: English Publication Model: Open Access Peer Review: Double-blind peer review Submission Portal: [Insert journal submission link] Author Guidelines: [Insert author guideline link] Contact Email: [Insert editorial office email] Important Notes for Authors Authors should carefully follow the journal template and formatting instructions before submission. Figures, tables, equations, references, and supplementary materials should be prepared according to the journal’s author guidelines. Manuscripts that fall outside the scope of intelligent industrial convergence may be returned without external review. Closing Statement The Journal of Intelligent Industrial Convergence welcomes innovative and impactful contributions that advance the integration of intelligent technologies with modern industrial systems. Through rigorous scholarship and practical industrial relevance, JIIC aims to support the next generation of research on smart manufacturing, industrial AI, digital twins, IIoT, cyber-physical systems, cybersecurity, sustainability, and Industry 5.0 transformation.
Journal of Intelligent Industrial Convergence