Chrysostomos Symvoulidis, PhD is a Researcher at the University of Piraeus, Greece (Department of Digital Systems). He received his BSc in Digital Systems in 2016 and MSc in Big Data and Analytics in 2016, both from the Department of Digital Systems at the University of Piraeus. Since 2024, he holds a PhD from the University of Piraeus (Department of Digital Systems) in the field of Artificial Intelligence, with focus on causal and contextual information extraction and data enrichment methods with emphasis on artificial intelligence-driven optimization algorithms for Cloud and Edge Computing. His general research interests lie with issues related to causal discovery, causal inference, causal learning, cloud computing, edge computing, as well as machine learning and deep learning. In this context, he has participated in several EU and National funded projects (e.g., MATILDA, BigDataStack, InteropEHRate), leading research for addressing issues related to data analysis, Health Information Exchange, Complex Event Processing, as well as Cloud and Edge Computing orchestration using causally- and contextually-enhanced ML/DL methods, while he has also contributed in the aforementioned fields through multiple international conference and international journal publications.