An academic researcher with expertise in software engineering, artificial intelligence, and machine learning, with a particular focus on software testing, quality assurance, and AI-driven testing methodologies. Research interests include deep learning applications in software systems, ML-based testing and validation, and the reliability and robustness of intelligent and data-driven systems. Actively involved in scholarly research, peer review, and academic publishing, with experience collaborating across academia and industry. As a Guest Editor for this Special Issue, the objective is to promote high-quality research that advances both theoretical foundations and practical applications, encourages interdisciplinary perspectives, and addresses emerging challenges in modern software and AI-intensive systems.