Spyropoulos Thrasyvoulos

Spyropoulos Thrasyvoulos is a Professor at the School of Electrical and Computer Engineering (ECE) at the Technical University of Crete. His work focuses on network optimization, machine learning, and telecommunications, with particular emphasis on edge computing, distributed systems, and 5G/6G networks. He holds an office in the Science/ECE Building (Λ) and can be reached at spyropoulos@tuc.gr.

His research interests include decentralized optimization algorithms, network slicing, federated learning, and resource allocation strategies for next-generation networks. Notable contributions involve developing distributed machine learning frameworks, QoS-aware recommendation systems, and solutions for spatial fairness in mobile networks.

Recent publications highlight advancements in edge resource scaling, peer-to-peer federated learning (FedDec), and LSTM-based resource allocation for beyond 5G networks. His work often bridges theoretical optimization with practical network deployment challenges, emphasizing scalability and real-world applicability.

No scientific awards are explicitly listed, though his prolific publication record in top-tier venues indicates significant academic impact.

He has not listed advisees/students in the provided materials, but his research collaborations suggest involvement in mentoring through projects like the COLOMBO initiative. No detailed grants or lab affiliations are specified in the text.