Hybrid Conferencee

International Conference on Reliability Theory and Survival Analysis (ICRTSAS - 26)

12th - 13th December 2026 | Dallas, USA

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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 Dallas. 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 Dallas 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 Dallas conference. Build collaborations and gain insights from leading experts."
Keynote Speaker Sessions:
"Don’t miss our Keynote Sessions in Dallas, 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 Dallas."
SDG-Inspired Conference Focus:
"Our conference will highlight research that addresses global sustainability, inclusive education, and solutions for environmental challenges."

Call for Paper

The ICRTSAS 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
Reliability analysis in engineering systems
02
Survival analysis in medical research
03
Statistical methods for reliability assessment
04
Applications of reliability theory in industry
05
Modeling failure rates in complex systems
06
Survival analysis techniques in biostatistics
07
Reliability modeling of mechanical components
08
Statistical inference in reliability studies
09
Reliability testing and evaluation methods
10
Probabilistic approaches to system reliability
11
Survival analysis in clinical trials
12
Reliability engineering in manufacturing
13
Modeling and simulation of failure mechanisms
14
Statistical process control for reliability
15
Reliability analysis of software systems
16
Applications of survival analysis in epidemiology
17
Reliability theory in risk management
18
Statistical methods for life data analysis
19
Reliability assessment of renewable energy systems
20
Survival analysis in public health studies