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HOME ORGANIZING COMMITTEES CALL FOR PAPERS SUBMISSION REGISTRATION VENUE REGISTRY

2026 International Conference on Modeling, Intelligent Computing and Knowledge Evolution

About to MICKN 2026

MICKN 2026 will be held in Wenzhou. Wenzhou, as the birthplace of private economy, has active practices in digital transformation and knowledge innovation. The conference focuses on complex system modeling, intelligent computing methods, and knowledge evolution mechanisms, covering core directions such as mathematical modeling, evolutionary computation, and knowledge graph evolution. The attending experts will delve into cutting-edge topics such as physical information neural networks, swarm intelligence optimization, knowledge discovery and reasoning, and digital twin modeling. The conference aims to promote collaborative innovation in mathematics, computer science, and cognitive science, providing methodological support for understanding the operating laws of complex systems and promoting the dissemination of knowledge innovation.

IMPORTANT DATES

2026-09-13-Submission Deadline

2026-09-21-Registration Deadline

2026-09-28-Conference Date

About a week after the submission-Notification Date

RECORD

All full paper submissions to the MICKN 2026 could be written in English and will be sent to at least two reviewers and evaluated based on originality, technical or research content or depth, correctness, relevance to conference, contributions, and readability. All accepted papers of MICKN 2026 will be published in the conference proceedings, which will be submitted to EI Compendex, Scopus for indexing.

Paper template

Please refer to the paper template for layout

Click to download

Register

All attendees must register in advance to attend the meeting

Consulting service

Submit

Please submit the full text/abstract of the paper to us through the electronic submission system

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Call For Papers

Direction 1: Modeling modeling Complex System Modeling Mathematical modeling methods Computational modeling techniques Data driven modeling Physical Information Neural Network Multi-scale modeling Uncertainty quantification Model validation confirmation Digital twin modeling Direction 2: Intelligent Computing intelligent computing Evolutionary computation method Swarm intelligence optimization Fuzzy computing system Neural computing methods Quantum Intelligent Computing Edge intelligent computing Distributed intelligent computing Trusted Intelligent Computing Intelligent Computing Theory

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Indexing Service

Technical Sponsor

Call for Reviewers

As a platform for global academic communication, the quality of conference publication has always an aspect attracting much of our attention. To ensure quality of our publication and to better serve the peers in academic circle, we now call for reviewers among professionals and experts of the world. Professionals and experts who hold PhD (doctoral) degree in the conference related areas are encouraged to join in us and together, we will work hard to become a world-class academic conference. Please send us your CV by email (mickn@confsflow.com) if you are interested in it.

SCI Journal

Contributors are encouraged to submit papers / abstracts to the conference. The organizing committee will select high-quality papers and recommend them to SCI/SSCI journals. For specific matters, please contact the person in charge of the conferrence.

Submission Guidelines

Delegates are encouraged to submit their papers/abstracts to the conference. Good quality papers will be selected by the organizing committee and Prof. Soteris Kalogirou, the editor in chief. After it, the authors will be invited to extent their papers/abstracts and submit them to mickn@confsflow.com. The normal size of research papers is 4,000-6,000 words excluding abstract and references.

Submission Portal

If you have any questions or need any help about the conference, please feel free to contact our conference experts on the right:

杨老师

TEL:185 8288 1690

QQ:3965998409

E-mail:mickn@confsflow.com

About Plagiarism Check

Crosscheck Powered by iThenticate will be used for plagiarism check. The amount of duplication from previously published content should be less than 20%; If the amount of duplication is 20% - 35%, modification maybe required; if the amount of duplication exceeds 35%, the article will be rejected. Please note that there will be no refund for no-shows.