Flex Conference (Physical / Digital)

International Conference on Computational Tools for Mathematical Modeling - (I2CTMM-27)

30th - 1st May 2027 , Ottawa - Canada

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Call For Papers

The (I2CTMM-27) emphasizes interdisciplinary collaboration by bringing together experts from diverse fields. It encourages research that integrates multiple perspectives to address complex global challenges.

Key areas such as Mathematical Modeling are explored to promote cross-domain knowledge exchange and collaborative innovation.

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

  • Mathematical modeling techniques and applications
  • Computational methods for mathematical modeling
  • Numerical simulations in mathematical modeling
  • Mathematical modeling in engineering systems
  • Optimization techniques in mathematical modeling
  • Mathematical modeling for environmental issues
  • Stochastic modeling in complex systems
  • Mathematical modeling in biological systems
  • Mathematical modeling for financial applications
  • Applications of PDEs in mathematical modeling
  • Mathematical modeling in social sciences
  • Mathematical modeling for energy systems
  • Mathematical modeling in materials science
  • Challenges in mathematical modeling research
  • Mathematical modeling for public health
  • Mathematical modeling in transportation systems
  • Mathematical modeling for climate change
  • Mathematical modeling in robotics
  • Future directions in mathematical modeling
  • Interdisciplinary approaches to mathematical modeling

Assessment

All submissions will undergo peer review to ensure quality and interdisciplinary relevance. Accepted papers will be presented and considered for publication in journals and conference proceedings.

Registration

Registering for the conference provides access to keynote sessions, technical presentations, and networking opportunities with global experts.

Publication

Publishing through the conference enhances the visibility of your research and connects your work with a broader academic audience.