Publications
All publications from our lab, ordered by most recent.
On the Ergodic Capacity for SIM-Aided Holographic MIMO Communications
A. Papazafeiropoulos, I. Bartsiokas, D. I. Kaklamani and I. S. Venieris, “On the Ergodic Capacity for SIM-Aided Holographic MIMO Communications,” IEEE Wireless Communications Letters, vol. 15, pp. 1120-1124, 2026, doi: https://doi.org/10.1109/lwc.2025.3649381.
Design, Analysis and Experimental Characterization of a Passive X-Band I/Q Downconversion Subsystem for Maritime Radar Applications
T. Bountas, Y. E. Stratakos, D. Kaklamani and I. Papananos, “Design, Analysis and Experimental Characterization of a Passive X-Band I/Q Downconversion Subsystem for Maritime Radar Applications,” Electronics (MDPI), vol. 15, no. 13, pp. 2834, June 2026, doi: https://doi.org/10.3390/electronics15132834.
Ergodic Mutual Information and Outage Probability for SIM-Assisted Holographic MIMO Communications
A. Papazafeiropoulos, P. Kourtessis, D. I. Kaklamani and I. S. Venieris, “Ergodic Mutual Information and Outage Probability for SIM-Assisted Holographic MIMO Communications,” IEEE Transactions on Vehicular Technology, vol. 75, no. 5, pp. 7703-7715, May 2026, doi: https://doi.org/10.1109/tvt.2025.3625663.
Flexible Intelligent Metasurface for Downlink Communications Under Statistical CSI
V. Kumar, A. Papazafeiropoulos, P. Kourtessis, J. Senior, M. Chafii, D. I. Kaklamani and I. S. Venieris, “Flexible Intelligent Metasurface for Downlink Communications Under Statistical CSI,” IEEE Wireless Communications Letters, vol. 15, pp. 1150-1154, 2026, doi: https://doi.org/10.1109/lwc.2025.3649732.
A-THENA: Early Intrusion Detection for IoT with Time-Aware Hybrid Encoding and Network-Specific Augmentation
I. Panopoulos, M. L. A. Bartsioka, S. Nikolaidis, S. I. Venieris, D. I. Kaklamani and I. S. Venieris, “A-THENA: Early Intrusion Detection for IoT with Time-Aware Hybrid Encoding and Network-Specific Augmentation,” ACM Transactions on AI Security and Privacy, April 2026, doi: https://doi.org/10.48550/arXiv.2604.21623.
Intelligent Multi-Objective Path Planning for Unmanned Surface Vehicles via Deep and Fuzzy Reinforcement Learning
I. A. Bartsiokas, C. Ntakolia, G. Avdikos and D. Lyridis, “Intelligent Multi-Objective Path Planning for Unmanned Surface Vehicles via Deep and Fuzzy Reinforcement Learning,” Journal of Marine Science and Engineering (MDPI), vol. 13, no. 12, pp. 2285, November 2025, doi: https://doi.org/10.3390/jmse13122285.
STARS-Enabled Full-Duplex Two-Way mMIMO System Under Spatially-Correlated Channels
A. Papazafeiropoulos, P. Kourtessis, S. Chatzinotas, D. I. Kaklamani and I. S. Venieris, “STARS-Enabled Full-Duplex Two-Way mMIMO System Under Spatially-Correlated Channels,” IEEE Transactions on Vehicular Technology, vol. 74, no. 7, pp. 10495-10509, July 2025, doi: https://doi.org/10.1109/TVT.2025.3543646.
Channel Estimation for Stacked Intelligent Metasurfaces in Rician Fading Channels
A. Papazafeiropoulos, P. Kourtessis, D. I. Kaklamani and I. S. Venieris, “Channel Estimation for Stacked Intelligent Metasurfaces in Rician Fading Channels,” IEEE Wireless Communications Letters, vol. 14, no. 5, May 2025, doi: https://doi.org/10.48550/arXiv.2502.12692.
AI-Driven RF Fingerprinting for Secure Positioning Optimization in 6G Networks
I. A. Bartsiokas, M.-L. A. Bartsioka, A. K. Papazafeiropoulos, D. I. Kaklamani and I. S. Venieris, “AI-Driven RF Fingerprinting for Secure Positioning Optimization in 6G Networks,” Microwave (MDPI), vol. 2, no. 1, pp. 1, December 2025, doi: https://doi.org/10.3390/microwave2010001.
Performance of Double-Stacked Intelligent Metasurface-Assisted Multiuser Massive MIMO Communications in the Wave Domain
A. K. Papazafeiropoulos, P. Kourtessis, S. Chatzinotas, D. I. Kaklamani and I. S. Venieris, “Performance of Double-Stacked Intelligent Metasurface-Assisted Multiuser Massive MIMO Communications in the Wave Domain,” IEEE Transactions on Wireless Communications, vol. 24, no. 5, pp. 4205-4218, May 2024, doi: https://doi.org/10.1109/twc.2025.3533913.
Near-Field Beamforming for Stacked Intelligent Metasurfaces-Assisted MIMO Networks
A. Papazafeiropoulos, P. Kourtessis, S. Chatzinotas, D. I. Kaklamani and I. S. Venieris, “Near-Field Beamforming for Stacked Intelligent Metasurfaces-Assisted MIMO Networks,” IEEE Wireless Communications Letters, vol. 13, no. 11, pp. 3035-3039, November 2024, doi: https://doi.org/10.1109/LWC.2024.3438840.
Experimental Assessment of Low-Pressure Plasma Interference-Switch Performance in MW-Class Microwave Pulse Compressor
V. A. Tantanis, S. P. Savaidis, Z. C. Ioannidis, D. I. Kaklamani and N. K. Uzunoglu, “Experimental Assessment of Low-Pressure Plasma Interference-Switch Performance in MW-Class Microwave Pulse Compressor,” IEEE Transactions on Plasma Science, vol. 52, no. 7, pp. 2676-2685, July 2024, doi: https://doi.org/10.1109/TPS.2024.3445718.
Effect of Channel Aging on Beyond Diagonal Reconfigurable Intelligent Surfaces
A. Papazafeiropoulos, P. Kourtessis and S. Chatzinotas, “Effect of Channel Aging on Beyond Diagonal Reconfigurable Intelligent Surfaces,” IEEE Open Journal of the Communications Society, vol. 5, pp. 6303-6313, 2024, doi: https://doi.org/10.1109/OJCOMS.2024.3460055.
A Federated Learning-based resource allocation scheme for relaying-assisted communications in multicellular next generation network topologies
I. Bartsiokas, P. Gkonis, D. I. Kaklamani and I. S. Venieris, “A Federated Learning-based resource allocation scheme for relaying-assisted communications in multicellular next generation network topologies,” Electronics MDPI, Special Issue: “Feature Papers in Microwave and Wireless Communications Section”, vol. 13, no. 2, pp. 390, January 2024, doi: https://doi.org/10.3390/electronics13020390.
CARIn: Constraint-Aware and Responsive Inference on Heterogeneous Devices for Single- and Multi-DNN Workloads
I. Panopoulos, S. I. Venieris and I. S. Venieris, “CARIn: Constraint-Aware and Responsive Inference on Heterogeneous Devices for Single- and Multi-DNN Workloads,” ACM Transactions on Embedded Computing Systems, vol. 23, no. 4, pp. 32, July 2024, doi: https://doi.org/10.1145/3665868.
Achievable Rate Optimization for Large Stacked Intelligent Metasurfaces Based on Statistical CSI
A. K. Papazafeiropoulos, P. Kourtessis, S. Chatzinotas, D. I. Kaklamani and I. S. Venieris, “Achievable Rate Optimization for Large Stacked Intelligent Metasurfaces Based on Statistical CSI,” IEEE Wireless Commun. Lett, vol. 13, no. 9, pp. 2337-2341, September 2024, doi: https://ieeexplore.ieee.org/document/10543143/.
MultiTASC++: A continuously adaptive scheduler for edge-based multi-device cascade inference
S. Nikolaidis, S. I. Venieris and I. S. Venieris, “MultiTASC++: A continuously adaptive scheduler for edge-based multi-device cascade inference,” ITU Journal on Future of Evolving Technologies, vol. 5, no. 1, pp. 26-46, March 2024, doi: https://doi.org/10.52953/TBYB6219.
A DL-Enabled Relay Node Placement and Selection Framework in Multicellular Networks
I. Bartsiokas, P. Gkonis, D. I. Kaklamani and I. S. Venieris, “A DL-Enabled Relay Node Placement and Selection Framework in Multicellular Networks,” IEEE Access, vol. 11, pp. 65153-65169, 2023, doi: https://doi.org/10.1109/access.2023.3290482.
From centralized to Federated Learning: Exploring performance and end-to-end resource consumption
G. Drainakis, P. Pantazopoulos, K. V. Katsaros, V. Sourlas, A. Amditis and D. I. Kaklamani, “From centralized to Federated Learning: Exploring performance and end-to-end resource consumption,” Computer Networks, vol. 225, pp. 109657, April 2023, doi: https://doi.org/10.1016/j.comnet.2023.109657.