In recent years, there has been a growing emphasis on the integration of Artificial Intelligence (AI) technologies across various domains, a trend further accelerated by the challenges posed by the global pandemic. This has prompted industrial stakeholders to reassess their approaches to sustainable operations, particularly in areas such as smart cities, smart transportation, smart industries, and healthcare. Leveraging computer-aided techniques, predictive methods, and expert systems has become increasingly vital for researchers and practitioners in navigating the complexities of these real-time applications.

This International Conference on Self Sustainable Artificial Intelligence Systems aims to explore the intersection of AI technologies and sustainability within the broader context of systems engineering principles. By focusing on the role of intelligence-based approaches such as optimization algorithms (e.g., genetic algorithms, particle swarm optimization), predictive modeling techniques (e.g., artificial neural networks, neuro fuzzy interfaces), and expert systems, this conference seeks to foster discussions on how these methods can contribute to the sustainable development goals across economic, social, environmental, and technical dimensions.