Hybrid Conferencee

International Conference on Uncertainty Quantification in Data Models (ICUQDM - 26)

8th - 9th August 2026 | Putrajaya, Malaysia

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

Call for Paper

The ICUQDM 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 Data Science, 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
Uncertainty quantification in engineering models
02
Data-driven approaches to uncertainty analysis
03
Machine learning for uncertainty quantification
04
Real-time uncertainty assessment in systems
05
Challenges in modeling uncertainty in data
06
Innovative techniques for uncertainty reduction
07
Uncertainty quantification in environmental engineering
08
Blockchain for secure data in uncertainty models
09
Impact of uncertainty on engineering decisions
10
Future trends in uncertainty quantification methods
11
Case studies on uncertainty in engineering applications
12
Integration of IoT and uncertainty analysis
13
Uncertainty quantification for risk management
14
Data visualization techniques for uncertainty analysis
15
Uncertainty in predictive modeling applications
16
Cybersecurity considerations in uncertainty quantification
17
Uncertainty quantification for renewable energy systems
18
Ethical implications of uncertainty in data
19
Uncertainty in structural engineering assessments
20
Uncertainty quantification in civil engineering projects