Call For Papers

The ICHDAAM 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 Applied Mathematics , encouraging applied research, case studies, and industry-driven innovations.

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

01
High-dimensional data analysis techniques
02
Applications of high-dimensional statistics
03
Mathematical methods in machine learning
04
Dimensionality reduction in data science
05
Statistical modeling in high dimensions
06
Challenges in high-dimensional data analysis
07
Applications of high-dimensional analysis in finance
08
Mathematical foundations of high-dimensional spaces
09
High-dimensional modeling in bioinformatics
10
Interdisciplinary approaches to data analysis
11
Future trends in high-dimensional mathematics
12
High-dimensional optimization techniques
13
Statistical inference in high dimensions
14
Applications of high-dimensional analysis in engineering
15
Mathematical tools for big data
16
High-dimensional time series analysis
17
Robustness in high-dimensional statistical methods
18
Machine learning applications in high dimensions
19
Mathematics of high-dimensional networks
20
Emerging trends in high-dimensional research

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



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