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International Conference on Mathematics, Informatics and Statistics - (ICMIS -26)

29th - 30th September 2026 , Oakville - Canada

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Call For Papers

The (ICMIS -26) 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 Mathematics,Bioinformatics,Statistics 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:

  • Mathematics in data science applications
  • Statistical methods in informatics research
  • Mathematical modeling in computer science
  • Algorithms for data analysis and statistics
  • Applications of mathematics in artificial intelligence
  • Mathematics in software engineering practices
  • Data visualization techniques in informatics
  • Mathematical foundations of information theory
  • Machine learning algorithms and mathematics
  • Statistical challenges in big data
  • Mathematics in cybersecurity applications
  • Innovations in teaching informatics and mathematics
  • Mathematics for natural language processing
  • Interdisciplinary applications of mathematics and informatics
  • Mathematics in network analysis and design
  • Future trends in mathematics and informatics
  • Statistical methods for social media analysis
  • Mathematics for decision support systems
  • Applications of informatics in healthcare
  • Mathematics in cloud computing technologies

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.