Hybrid Conferencee

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

12th - 13th August 2026 | Macau, China

10% DISCOUNT

Maximum discount capped at $30. Activate your Scholarly Discount during the payment phase to lower your final checkout amount.

REVEAL OFFER
EARLY10
Sample Abstract
Download
Conference Brochure
Sample Full Paper
Download
Conference Notifications:

"Be sure to check this section regularly for all Research Plus International Conference updates. We’ll keep you informed about deadlines, event details, and more important notifications."

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."

Conference Session Tracks

SDG Wheel

Aligned with

UN Sustainable Development Goals

This conference contributes to global sustainability by aligning its research discussions and academic sessions with key United Nations Sustainable Development Goals. It fosters knowledge exchange, innovation, and collaborative engagement.

SDG 1
SDG 1 No Poverty
SDG 3
SDG 3 Good Health and Well-being
SDG 4
SDG 4 Quality Education
Track 01

Advancements in Stochastic Modeling

This track focuses on the latest developments in stochastic modeling techniques, emphasizing their applications in various fields. Researchers are invited to present innovative models that enhance our understanding of complex systems.

Track 02

Computational Techniques in Probability Theory

This session will explore computational methods used to solve problems in probability theory. Contributions that showcase novel algorithms and high-performance computing applications are particularly welcome.

Track 03

Markov Processes and Their Applications

This track is dedicated to the study of Markov processes, including their theoretical foundations and practical applications. Participants are encouraged to share insights into new methodologies and case studies.

Track 04

Probability Distributions in Statistical Analysis

This session will delve into the role of probability distributions in statistical analysis, highlighting both classical and contemporary approaches. Papers that address the implications of distribution choice in real-world data are encouraged.

Track 05

Simulation Techniques in Random Processes

This track will cover various simulation techniques used to analyze random processes. Researchers are invited to present their findings on the effectiveness and efficiency of these methods in practical scenarios.

Track 06

Applied Probability in Real-World Problems

This session will focus on the application of probability theory to solve real-world problems across different domains. Contributions that demonstrate the impact of applied probability on decision-making processes are highly encouraged.

Track 07

Statistical Analysis of Stochastic Models

This track will examine statistical methods used to analyze stochastic models, emphasizing the interplay between theory and application. Papers that propose new analytical techniques or frameworks are particularly welcome.

Track 08

Algorithms in Computational Probability

This session will highlight innovative algorithms developed for computational probability applications. Researchers are invited to discuss their contributions to algorithm design and performance evaluation.

Track 09

High-Performance Computing in Probability Research

This track will explore the role of high-performance computing in advancing probability research. Contributions that demonstrate the use of cutting-edge computing resources to tackle complex probabilistic problems are encouraged.

Track 10

Recent Trends in Random Processes

This session will focus on recent trends and emerging topics in the study of random processes. Researchers are invited to share their insights and findings on novel approaches and theoretical advancements.

Track 11

Interdisciplinary Applications of Probability Theory

This track will explore the interdisciplinary applications of probability theory across various fields such as finance, engineering, and biology. Papers that illustrate the integration of probabilistic methods into diverse research areas are welcome.