Call For Papers
The ICRMAS aims to explore emerging trends and future directions in research and innovation. It provides a collaborative platform for researchers and professionals to share ideas that shape the future of their respective domains.
The conference highlights advancements in Probability Theory, Statistics, encouraging innovative, solution-oriented research that addresses global challenges and technological evolution.
Authors are invited to submit papers addressing, but not limited to, the following areas:
- Random matrices in statistical physics
- Applications of random matrices in finance
- Random matrix theory in wireless communications
- Statistical analysis of random matrix models
- Random matrices in machine learning
- Applications of random matrices in biology
- Random matrix theory in quantum mechanics
- Statistical properties of large random matrices
- Random matrices in network theory
- Applications of random matrices in signal processing
- Random matrices in data science
- Random matrix theory and its applications
- Statistical inference with random matrices
- Random matrices in combinatorial optimization
- Applications of random matrices in cryptography
- Random matrices in multivariate statistics
- Random matrix theory in statistical mechanics
- Applications of random matrices in imaging
- Random matrices in control theory
- Statistical challenges in random matrix analysis
Assessment
Submissions will be assessed for originality, innovation, and relevance. Accepted papers will be presented at the conference and considered for publication opportunities in reputed academic platforms.
Registration
Participants are requested to complete the registration process following acceptance of their paper. Registration ensures inclusion in the conference schedule and official records.
Publication
All accepted manuscripts will be eligible for publication consideration in conference proceedings and associated academic journals.