Dr. Asya Toskova is a Chief Assistant Professor in the Department of Computer Systems at the Faculty of Mathematics and Informatics, Plovdiv University “Paisii Hilendarski,” Bulgaria. She holds a PhD in Informatics, with her doctoral dissertation focusing on self-learning and robot learning models. With extensive academic and research experience, her primary expertise lies at the intersection of Artificial Intelligence, Machine Learning, and Intelligent Environments. Her research focuses heavily on autonomous and self-organizing architectures, multi-agent systems, interpretable AI, and deep learning applications in computer vision. Dr. Toskova has authored more than 30 scientific publications, with a significant portion of her work indexed in Scopus and Web of Science. She has developed specialized wheat–weed recognition datasets and intelligent IoT platforms for digital agriculture. She is also the author of two notable research monographs: "Some Studies in Machine Learning – Computer Vision & Recommendation" (2023) and "From Lifelong Learning to Machine Learning" (2026), as well as the educational handbook "UML Modeling – Planning Software Success" (2023). She is an active member of the John Atanasoff Society of Automatics and Informatics (SAI) in Bulgaria. Through her research, she actively fosters international collaboration in managing technological heterogeneity within smart cyber-physical systems.