SNRI

(ICUQDM - 26) | Hybrid Event
7th - 8th October 2026 | Taichung City, Taiwan

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

7th - 8th October 2026 Taichung City, Taiwan (Hybrid Event)

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Call for Paper

The ICUQDM is committed to addressing global challenges through impactful research and sustainable solutions. It brings together researchers dedicated to advancing knowledge for societal benefit. Focusing on Data Science, the conference promotes research aligned with global development goals and long-term sustainability. Authors are invited to submit papers addressing, but not limited to, the following areas:

  • Uncertainty quantification in engineering models
  • Data-driven approaches to uncertainty analysis
  • Machine learning for uncertainty quantification
  • Real-time uncertainty assessment in systems
  • Challenges in modeling uncertainty in data
  • Innovative techniques for uncertainty reduction
  • Uncertainty quantification in environmental engineering
  • Blockchain for secure data in uncertainty models
  • Impact of uncertainty on engineering decisions
  • Future trends in uncertainty quantification methods
  • Case studies on uncertainty in engineering applications
  • Integration of IoT and uncertainty analysis
  • Uncertainty quantification for risk management
  • Data visualization techniques for uncertainty analysis
  • Uncertainty in predictive modeling applications
  • Cybersecurity considerations in uncertainty quantification
  • Uncertainty quantification for renewable energy systems
  • Ethical implications of uncertainty in data
  • Uncertainty in structural engineering assessments
  • Uncertainty quantification in civil engineering projects
Review & Publication

All submissions will be reviewed for their contribution to global impact and research quality. Accepted papers will be presented and considered for publication in reputed platforms.

Registration

Join participants from around the world by completing your registration and becoming part of a global research community.

Publication

Accepted papers will gain international exposure through conference presentations and publication opportunities.

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