ICOADS
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.
ICOADS
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.
optimization algorithms
data science
engineering applications
predictive modeling
supervised learning
unsupervised learning
deep learning
anomaly detection
feature extraction
combinatorial optimization
gradient-based methods
metaheuristics
evolutionary algorithms
model evaluation
resource allocation
industrial applications
algorithm tuning
predictive maintenance
adaptive learning
optimization frameworks
Start Date
Tuesday, May 12, 2026
Registration Deadline
Monday, April 27, 2026
Submission Deadline
Wednesday, April 22, 2026
Adelaide, Australia