Flex Conference (Physical / Digital)

International Conference on High-Dimensional Analysis and Applied Mathematics - (ICHDAAM-26)

5th - 6th November 2026 , Tokyo - Japan

Registration Options

Access Flexible Participation Categories

Call For Papers

The (ICHDAAM-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 Applied Mathematics 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:

  • High-dimensional data analysis techniques
  • Applications of high-dimensional statistics
  • Mathematical methods in machine learning
  • Dimensionality reduction in data science
  • Statistical modeling in high dimensions
  • Challenges in high-dimensional data analysis
  • Applications of high-dimensional analysis in finance
  • Mathematical foundations of high-dimensional spaces
  • High-dimensional modeling in bioinformatics
  • Interdisciplinary approaches to data analysis
  • Future trends in high-dimensional mathematics
  • High-dimensional optimization techniques
  • Statistical inference in high dimensions
  • Applications of high-dimensional analysis in engineering
  • Mathematical tools for big data
  • High-dimensional time series analysis
  • Robustness in high-dimensional statistical methods
  • Machine learning applications in high dimensions
  • Mathematics of high-dimensional networks
  • Emerging trends in high-dimensional research

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.