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Welcome Message

  • Welcome to the official website of the 2026 International Conference on Applied Mathematics and Modeling in Engineering (AMME 2026).
  • The 2026 International Conference on Applied Mathematics and Engineering Modeling (AMME 2026) will be held in Changsha, China, from December 28 to 29, 2026. This conference is jointly organized by the School of Mathematics and Statistics at Hunan Normal University and the Hubei Mengshun Exhibition Service Center.

  • AMME 2026 is an international academic conference dedicated to fostering interdisciplinary collaboration between scholars, researchers, and industry professionals in the fields of applied mathematics and engineering applications, in order to debate current and interdisciplinary topics in artificial intelligence, control, fractional calculus, optimization and their applications in engineering science and related fields such as energy, manufacturing, health, physical and biological systems. The conference serves as a rigorous scholarly platform for disseminating cutting-edge research findings, sharing methodological advances, and promoting global scientific exchange among academics, engineers, practitioners, graduate students, and R&D professionals.

  • The program features peer-reviewed oral presentations, structured technical sessions, and interactive panel discussions designed to encourage in-depth intellectual engagement. Complementing these activities, poster sessions and exhibition booths provide targeted opportunities for knowledge transfer, networking, and collaborative exploration—particularly beneficial for early-career researchers and industry stakeholders seeking strategic partnerships and innovation opportunities.

  • The AMME 2026 Organizing Committee, supported by a distinguished international panel of editors and reviewers, is committed to upholding the highest standards of scientific rigor, inclusivity, and organizational excellence throughout all stages of conference planning and execution.
  • AMME 2026 welcomes submissions of original, unpublished research abstracts and full papers in English. All papers accepted for presentation and successfully registered by the authors will be published in the conference proceedings and submitted for indexing in major academic databases, including EI Compendex, CNKI, and Scopus.

  • We look forward to your participation in the conference and welcome submissions of both abstracts and full papers.


  • Conference Organizer
  • Professor Quanxin Zhu,
  • School of Mathematics and Statistics, Hunan Normal University, China

Publication

  • Accepted full papers will be published as conference proceeding and submitted to EI Compendex and SCOPUS, etc. 
  • Tips: Please submit full paper if presentation and publication are both needed. And please submit abstract if only presentation is needed. 

Peer Review

  • Each submitted abstract/paper will be incorporated with a rigorous double-blind review process by at least two competent reviewers.
  • Further details regarding the submission process are available on the official conference website at https://www.ictmp.com/submission

Important Dates

  • Conference Date :
  • December 28-29, 2026.
  • [Submission Deadline]
  • Abstract (For Presentation Only):
  • September 30, 2026
  • Full Paper (For Publication and Presentation):
  • September 30, 2026

Contact

  • Katia Chen
  • AMME Conference Secretary

  • Email: amme2026@163.com

  • Tel./WeChat: +86131 6742 6350

Submission

  • If the submission link doesn't work, please submit your paper to amme2026@163.com

Submission

Review

  • Please log into the official review system as reviewer for paper reviewing at

Review

Publication

Papers accepted for AMME 2026 will be published in the conference proceedings and submitted for indexing in major databases, including EI Compendex, CNKI and Scopus.


Selected excellent papers will be published by the following SCI journal:

Special Issue "Multiscale Modeling in Engineering and Mechanics, 2nd Edition" 

Mathematicas (ISSN 2227-7390),SCI-indexed.

Topics include:

1. Computational methods and techniques for multiscale modeling;

2. Microscopic and macroscopic mechanical modeling and mathematical connections;

3. Multiphysics and multiscale modeling of engineering;

4. Computational morphology analysis and characterization of multiscale materials and structures including defects and cracks;

5. Data-driven approaches for multiscale modeling and mechanical property predictions;

6. Uncertainty and randomness quantification and sensitivity analysis in multiscale modeling;

7. Development of novel experimental techniques to probe the behavior of multiscale systems, such as in situ imaging and sensing methods;

8. Future directions in the development and application of experimental and multiscale modeling methods, including the use of advanced imaging and sensing techniques, machine learning, and artificial intelligence.