A Hybrid Cyber Physical Digital Twin Approach for Smart Grid Fault Prediction. - Nikolaos Tzanis; Nikolaos Andriopoulos; Aris Magklaras 001; Eleftherios Mylonas; Michael K. Birbas; Alexios N. Birbas (ICPS, 2020)

Real-Time Transient State Estimation in Smart Grids Utilizing Industrial loT Data. - Nikolaos Tzanis; Eleftherios Mylonas; Michael K. Birbas; Alexios N. Birbas (MECO, 2021)

Deep Reinforcement Learning Acceleration for Real-Time Edge Computing Mixed Integer Programming Problems. - Gerasimos Gerogiannis; Michael K. Birbas; Aimilios Leftheriotis; Eleftherios Mylonas; Nikolaos Tzanis; Alexios N. Birbas (IEEE Access, 2022)

Hardware Accelerators based on wavelets for detection of Transient phenomena in smart grids. - Nikolaos Papanikolaou 004; Nikolaos Tzanis; Eleftherios Mylonas; Michael K. Birbas; Alexios N. Birbas (MOCAST, 2023)

Cloud-Edge Architecture With Virtualized Hardware Functionality for Real-Time Diagnosis of Transients in Smart Grids. - Nikolaos Tzanis; Eleftherios Mylonas; Panagiotis Papaioannou; Michael K. Birbas; Alexios N. Birbas; Christos Tranoris; Spyros G. Denazis; Alex Papalexopoulos (IEEE Trans. Cloud Comput., 2023)

Efficient FPGA Architecture for Transient State Estimation in Smart Grid Applications. - Angeliki Zibidi; Eleftherios Mylonas; Nikolaos Tzanis; Michael K. Birbas; Alexios N. Birbas (MOCAST, 2024)

Federated Learning for Workload Forecasting for Network Service Management. - Dimitrios Brodimas; Dimitrios Kapolos; Eleftherios Mylonas; Alexios N. Birbas; Michael K. Birbas (MOCAST, 2025)