Call For Papers
The ICASPDA 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 Applied Mathematics,Mathematical Modeling, 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:
- Statistical methods in data analytics
- Applications of probability theory in statistics
- Data visualization techniques in analytics
- Machine learning algorithms for data analysis
- Statistical modeling of big data
- Bayesian statistics and applications
- Data mining techniques in applied statistics
- Statistical quality control methods
- Applications of time series analysis
- Multivariate statistics in data analytics
- Statistical inference and hypothesis testing
- Applications of regression analysis
- Statistical methods for experimental design
- Data analytics in healthcare applications
- Statistical modeling of social phenomena
- Applications of nonparametric statistics
- Statistical methods for survey data analysis
- Predictive analytics in business intelligence
- Statistical challenges in data science
- Applications of statistical learning theory
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.