International Conference on Bayesian Methods in Engineering Data Analysis - (ICBMEDA-26)


6th - 7th November, 2026 | Zurich, Switzerland

Multi-format (In-person/Virtual)

Registration Options

Explore conference registration categories designed for every mode of participation.

Important Dates

Pre-registration Deadline

7th October, 2026

Paper Submission Deadline

12th October, 2026

Last Date Of Registration

22nd October, 2026

Date Of Conference

6th - 7th November, 2026

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Call for Papers

The (ICBMEDA-26) is dedicated to advancing research excellence by bringing together leading scholars, scientists, and professionals from across the globe. It provides a platform for the dissemination of high-quality research and innovative methodologies.

With a strong focus on Data Science, the conference promotes research that contributes to academic depth, practical insights, and interdisciplinary knowledge integration.

Authors are invited to submit papers addressing, but not limited to, the following areas:

  • Bayesian inference techniques in engineering
  • Applications of Bayesian methods in data analysis
  • Model selection using Bayesian approaches
  • Bayesian networks for engineering problems
  • Uncertainty quantification in engineering data
  • Hierarchical Bayesian modeling in practice
  • Bayesian optimization for engineering design
  • Combining prior knowledge with data
  • Bayesian methods for time series analysis
  • Applications of Bayesian statistics in reliability
  • Bayesian machine learning for engineering datasets
  • Robustness of Bayesian methods in engineering
  • Case studies of Bayesian applications in engineering
  • Bayesian approaches to experimental design
  • Challenges in Bayesian data analysis
  • Bayesian methods for risk assessment
  • Integrating Bayesian methods with simulation
  • Future trends in Bayesian engineering applications
  • Bayesian decision-making frameworks
  • Ethical considerations in Bayesian analysis

Peer Review Process

All submissions will be evaluated through a structured peer-review process to ensure academic rigor and contribution to the field. Accepted papers will be presented and may be considered for publication in high-quality journals and indexed conference proceedings.

Registration Details

Secure your participation by completing the registration process at the earliest. Limited presentation slots are allocated on a first-come, first-served basis.

Publication Opportunities

High-quality submissions will be prioritized for publication opportunities in recognized journals and indexed proceedings.