A First Approach using Graph Neural Networks on Non-Intrusive-Load-Monitoring. - Sotirios Athanasoulias; Stavros Sykiotis; Maria Kaselimi; Eftychios Protopapadakis; Nikolaos Ipiotis (PETRA, 2022)

Autonomous Visual Navigation A Biologically Inspired Approach. - Sotirios Athanasoulias; Andy Philippides (CoRR, 2022)

An interoperable and cost-effective IoT-based Framework for Household Energy Monitoring and Analysis. - Sotirios Athanasoulias; Athina Katsari; Michail Savvakis; Stelios Kalogridis; Nikolaos Ipiotis (PETRA, 2023)

Performance-Aware NILM Model Optimization for Edge Deployment. - Stavros Sykiotis; Sotirios Athanasoulias; Maria Kaselimi; Anastasios D. Doulamis; Nikolaos Doulamis; Lina Stankovic; Vladimir Stankovic 001 (IEEE Trans. Green Commun. Netw., 2023)

A Pre-Training Pruning Strategy for Enabling Lightweight Non-Intrusive Load Monitoring On Edge Devices. - Sotirios Athanasoulias; Stavros Sykiotis; Nikos Temenos; Anastasios Doulamis; Nikolaos Doulamis (ICASSP Workshops, 2024)

Community-driven Smart EV charging With Multi-Agent Deep Reinforcement Learning. - Stavros Sykiotis; Sotirios Athanasoulias; Nikolaos Temenos; Ioannis Rallis; Anastasios Doulamis; Nikolaos Doulamis (IJCNN, 2024)

OPT-NILM: An Iterative Prior-to-Full-Training Pruning Approach for Cost-Effective User Side Energy Disaggregation. - Sotirios Athanasoulias; Stavros Sykiotis; Maria Kaselimi; Anastasios Doulamis; Nikolaos Doulamis; Nikolaos Ipiotis (IEEE Trans. Consumer Electron., 2024)

Edge-Optimized Deep Learning & Pattern Recognition Techniques for Non-Intrusive Load Monitoring of Energy Time Series. - Sotirios Athanasoulias (CoRR, 2025)