Hybrid Conferencee

International Conference on Computational Probability and Random Processes (ICCPRP - 26)

12th - 13th August 2026 | Macau, China

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Conference Notifications:

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Call for Papers Extended:
"The deadline for full paper submissions has been extended for the Research Plus International Conference in Macau. Submit your research by today to participate in one of the top conferences."
Certificate of Presentation:
"Present your research and receive a Certificate of Presentation to recognise your valuable contribution to the conference."
Abstract Submissions Open:
"Abstract submissions for the Macau event are now open! Don’t miss the chance to present your research. Submit now."
Networking with Global Experts:
"Engage with researchers and professionals from around the world at the Macau conference. Build collaborations and gain insights from leading experts."
Keynote Speaker Sessions:
"Don’t miss our Keynote Sessions in Macau, featuring global leaders and innovators sharing their knowledge."
Best Paper & Best Paper Presentation Award:
"Submit your paper and stand a chance to win the Best Paper Presentation Award. The winner will be recognized at the conference in Macau."
SDG-Inspired Conference Focus:
"Our conference will highlight research that addresses global sustainability, inclusive education, and solutions for environmental challenges."

Call for Paper

The ICCPRP 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:

01
Computational methods in probability theory
02
Applications of random processes in finance
03
Stochastic modeling in engineering systems
04
Monte Carlo simulations for random variables
05
Statistical inference for random processes
06
Random walks and their applications
07
Markov chains in computational probability
08
Probabilistic algorithms for data analysis
09
Randomness in computer science applications
10
Probability distributions in machine learning
11
Random processes in telecommunications
12
Applications of Bayesian methods in probability
13
Statistical mechanics and random processes
14
Random fields in image processing
15
Monte Carlo methods in risk assessment
16
Randomized algorithms for optimization problems
17
Stochastic calculus in finance applications
18
Probabilistic models for network analysis
19
Random processes in biological systems
20
Computational challenges in probability modeling