On-location / Digital Conference

International Conference on Computational Mathematics for Scientific Research (ICCMFSR-27)

02nd - 03rd Jan 2027,Paris, France

In Association With:

Call for Paper


Important Dates


Early Bird Registration

03rd Dec 2026

Paper Submission Deadline

8th December 2026

Registration Deadline

18th December 2026

Conference Date

02nd - 03rd Jan 2027

Conference Updates:

"Stay updated with Science Cite Conference news."

  • Early-Bird Registration Reminder:
    Early-bird registration for the Science Cite Conference in Paris ends soon! Register Now!
  • Certificate of Presentation – Recognizing Your Contribution:
    Receive a Certificate of Presentation to recognize your participation in Paris conference.
  • Peer Review Process:
    The peer review process will begin soon for Paris conference.
  • Networking with Global Experts:
    Join global experts at our conference in Paris.
  • Opportunity for Scopus-Indexed Journal Publication:
    Your research could be published in a Scopus-Indexed Journal. Submit Your Abstract
  • SDG-Inspired Conference Focus:
    Present your work aligned with Sustainable Development Goals.

Call For Papers

The ICCMFSR bridges the gap between academia and industry by promoting research with practical applications. It provides a platform for professionals and researchers to share insights that drive real-world impact.

The conference focuses on Computational Mathematics for Scientific Research, encouraging applied research, case studies, and industry-driven innovations.

Authors are invited to submit papers addressing, but not limited to, the following areas:

  • Numerical analysis in scientific research
  • Mathematical modeling for scientific applications
  • Computational techniques for solving equations
  • Statistical methods in scientific computing
  • Algorithms for numerical simulations
  • Data analysis techniques in research
  • Computational geometry in scientific studies
  • Mathematical optimization in research problems
  • Numerical methods for differential equations
  • Computational methods in applied mathematics
  • Machine learning applications in mathematics
  • High-performance computing for research
  • Visualization techniques in scientific computing
  • Model validation and verification methods
  • Computational tools for mathematical modeling
  • Interdisciplinary approaches in scientific research
  • Numerical methods for stochastic processes
  • Computational techniques for data fitting
  • Ethics in mathematical research and computing
  • Innovations in computational mathematics education

Assessment

Submissions will be evaluated based on applicability, innovation, and research contribution. Accepted papers will be presented and considered for publication in relevant journals and proceedings.

Registration

Complete your registration to participate in discussions that bridge academia and industry, and gain exposure to practical insights.

Publication

Selected papers will be considered for publication platforms that support academic and industry collaboration.

Indexed / Supported By

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Academic Institutions Whose Scholars Have Contributed

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