ICDDRAE
The aim of the Conference is to provide a platform to the researchers and practitioners from both academia as well as industry to meet the share cuttingedge development in the field.
ICDDRAE
The aim of the Conference is to provide a platform to the researchers and practitioners from both academia as well as industry to meet the share cuttingedge development in the field.
data-driven risk assessment
engineering
predictive modeling
supervised learning
unsupervised learning
deep learning
anomaly detection
feature extraction
risk quantification
fault prediction
predictive maintenance
industrial IoT
system monitoring
model evaluation
simulation analytics
reliability analysis
process optimization
feature selection
data-driven decision making
adaptive learning
Start Date
Friday, July 17, 2026
Registration Deadline
Thursday, July 2, 2026
Submission Deadline
Saturday, June 27, 2026
Edmonton, Canada