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)

Evaluating Versal ACAP and conventional FPGA platforms for AI inference. - Aimilios Leftheriotis; Aphrodite Tzomaka; Dimitrios Danopoulos; George Lentaris; George Theodoridis; Dimitrios Soudris (MOCAST, 2023)

TF2AIF: Facilitating development and deployment of accelerated AI models on the cloud-edge continuum. - Aimilios Leftheriotis; Achilleas Tzenetopoulos; George Lentaris; Dimitrios Soudris; Georgios Theodoridis (EuCNC/6G Summit, 2024)

Seamless HW-accelerated AI serving in heterogeneous MEC Systems with AI@EDGE. - Achilleas Tzenetopoulos; George Lentaris; Aimilios Leftheriotis; Panos Chrysomeris; Javier Palomares; Estefanía Coronado; Raman Kazhamiakin; Dimitrios Soudris (HPDC, 2024)

Multi-Partner Project: Secure Hardware Accelerated Data Analytics for 6G Networks: The PRIVATEER Approach. - Ilias Papalamprou; Aimilios Leftheriotis; Apostolis Garos; Georgios Gardikis; Maria Christopoulou; George Xilouris; Lampros Argyriou; Antonia Karamatskou; Nikolaos Papadakis; Emmanouil Kalotychos; Nikolaos Chatzivasileiadis; Dimosthenis Masouros; et al. (DATE, 2025)

PRIVATEER: Secure FPGA Acceleration for 6G AI Edge Analytics. - Aimilios Leftheriotis; Ilias Papalamprou; Apostolos Garos; Georgios Gardikis; Maria Christopoulou; George Xilouris; Georgios Livanos; Nikolaos Papadakis; Dimosthenis Masouros; George Theodoridis; Dimitrios Soudris (ISVLSI, 2025)