Call For Papers
The ICPPAPS 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, 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:
- Applications of Poisson processes in science
- Statistical methods for Poisson regression
- Modeling events with Poisson processes
- Poisson processes in queuing theory
- Applications in telecommunications and networking
- Statistical inference for Poisson models
- Poisson processes in reliability engineering
- Modeling arrival processes in systems
- Applications of Poisson processes in finance
- Poisson processes in epidemiology studies
- Stochastic modeling with Poisson processes
- Statistical methods for count data analysis
- Poisson processes in inventory management
- Applications in risk assessment and management
- Modeling rare events with Poisson processes
- Poisson processes in machine learning
- Statistical methods for time series analysis
- Applications of Poisson processes in biology
- Modeling customer arrivals in service systems
- Poisson processes in environmental studies
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.