With thirteen years of theoretical and applied research experience, Dimitris has focused on evaluating, designing, and developing secure cyber-physical systems that detect and prevent intrusions using AI based on anomaly and behavioural characteristics generated by advanced machine learning and deep learning models. Over the past three years, he served as an Associate Professor at the University of South Alabama (USA), where he designed Intrusion Detection System (IDS) architectures capable of operating on both software and hardware platforms, supported by transferable ML and DL models. His research areas include Cybersecurity and AI Ethics, Hardware Security, Intrusion Detection, Data and Model Validation, ML Fairness and Bias, Adversarial Machine Learning, Side-Channel Attacks, Blockchain, and Digital Forensics in Data Pipelines. During this period, Dimitris led, as Principal Investigator (PI) or Co-Principal Investigator (Co-PI), four research grant awards (NSF, DoD, I/UCRC) and also served as Senior Research and Product Manager on two institutional grants.