In today’s world, ability to store, manage, and analyse large-scale data generated by humans and machines has a critical impact on decision making in business, scientific discovery, social and environmental challenges. This conference will deal with different aspects of Data Science, Efficient Data Processing, Optimization Algorithms, Statistical Learning, Operation Research Modelling and Large Scale Computing in Business Decision Making.

This conference will provide a forum for researchers, practitioners and academicians to present and discuss the most recent innovations, trends, experiences and future challenges of optimization and learning methods and their applications in Business Analytics. OLAB 2022 welcomes presentations that cover any aspects of optimization and learning research, such as, new high-impact applications, parameter tuning, 4th industrial revolution, new research challenges and hybridization issues in Healthcare, Finance, Insurance, Banking, and Marketing Analytics.

‘OPSEARCH’ and few other journals have consented to publish special issues dedicated to this conference. All submissions shall go through the standard review process set by the journals. Articles on the theme of the conference but not essentially presented in the conference are also invited for the possible publication in the special issues.Springer.