| 2025 | BIBE | MemoryBERT: A Systematic Framework for Memory Identification. | Dimitrios P. Panagoulias, Persephone Papatheodosiou, Anastasios Bonakis, Dimitris G. Dikeos, Maria Virvou, George A. Tsihrintzis |
| 2025 | ICTAI | A Simulation Framework for Battery Optimization Under Extreme Energy Imbalance Using Machine Learning Forecasting. | Dimitrios P. Panagoulias, Elissaios Sarmas, Vangelis Marinakis, Maria Virvou, George A. Tsihrintzis |
| 2025 | ICTAI | Trustworthy Integration of Generative AI and LLMs in the Energy Digital Spine: Epistemic Risk Models and Trust Performance Indicators. | Maria Virvou, George A. Tsihrintzis, Vangelis Marinakis, Elissaios Sarmas, Dimitrios P. Panagoulias, Evangelia-Aikaterini Tsichrintzi |
| 2025 | KES | An OSCE-Inspired Framework for Fine-Tuning Multimodal LLMs in Medical Diagnosis. | Dimitrios P. Panagoulias, Anastasios P. Palamidas, Maria Virvou, George A. Tsihrintzis |
| 2025 | KES | Truth in Trees: A Multilayered Linguistic Framework for Automated Fact-Checking with AI-Driven Reasoning. | Dimitrios P. Panagoulias, Maria Virvou, George A. Tsihrintzis |
| 2025 | SMC | Which AI and How Trusted by Human Energy Stakeholders? Comparing Generative AI ChatGPT With Domain Specific AI-ENERGIA-SYS. | George A. Tsihrintzis, Elissaios Sarmas, Vangelis Marinakis, Dimitrios P. Panagoulias, Evangelia-Aikaterini Tsichrintzi, Maria Virvou |
| 2024 | ICTAI | Memory and Schema in Human-Generative Artificial Intelligence Interactions. | Dimitrios P. Panagoulias, Persephone Papatheodosiou, Anastasios Bonakis, Dimitrios Dikeos, Maria Virvou, George A. Tsihrintzis |
| 2024 | KES | Knowledge Space reduction via Sequential Language Model Integration. | Dimitrios P. Panagoulias, Maria Virvou, George A. Tsihrintzis |
| 2024 | KES | Leveraging Artificial Intelligence for personalised insomnia-sleep calibration via the Big Five Personality Traits. | Persephone Papatheodosiou, Dimitrios P. Panagoulias, Maria Virvou, George A. Tsihrintzis, Anastasios Bonakis, Dimitrios Dikeos |
| 2023 | AICCSA | Evaluation of ChatGPT-supported diagnosis, staging and treatment planning for the case of lung cancer. | Dimitrios P. Panagoulias, Filippos A. Palamidas, Maria Virvou, George A. Tsihrintzis |
| 2023 | BIBE | An Empirical Study Concerning the Impact of Perceived Usefulness and Ease of Use on the Adoption of AI-Empowered Medical Applications. | Dimitrios P. Panagoulias, Maria Virvou, George A. Tsihrintzis |
| 2023 | ICTAI | Rule-Augmented Artificial Intelligence-empowered Systems for Medical Diagnosis using Large Language Models. | Dimitrios P. Panagoulias, Filippos A. Palamidas, Maria K. Virvou, George A. Tsihrintzis |
| 2023 | ICTAI | Tailored Explainability in Medical Artificial Intelligence-empowered Applications: Personalisation via the Technology Acceptance Model. | Dimitrios P. Panagoulias, Maria Virvou, George A. Tsihrintzis |
| 2022 | ICTAI | A microservices-based iterative development approach for usable, reliable and explainable A.I.-infused medical applications using R.U.P. | Dimitrios P. Panagoulias, Maria Virvou, George A. Tsihrintzis |
| 2021 | ICTAI | Biomarker-based deep learning for personalized nutrition. | Dimitrios P. Panagoulias, Dionisios N. Sotiropoulos, George A. Tsihrintzis |