Journal of Automation and Intelligence (JAI) aims to provide a platform for researchers and practitioners from both academia and industry to exchange their ideas and present new developments across multiple disciplines relevant to automation and artificial intelligence with particular attention to machine learning.

 The JAI welcomes original high-quality contributions associated with theory, design, and applications of control, optimization and machine learning. Potential areas of interest include but are not limited to:

1) control theory and related applications

2) learning driven decision and optimization

3) AI driven automation and autonomy