Eugen Šlapak

Ing. Eugen Šlapak, PhD., is a researcher at the Intelligent Information Systems Laboratory (IISLAB) of the Technical University of Košice, Slovakia, where he has worked since 2017. His research focuses on machine learning applications for cellular wireless networks modeled as multi-agent systems, with emphasis on 5G/6G optimization and autonomous vehicle communications.

Education:

• BSc in Informatics, Technical University of Košice (2016)
• MSc in Informatics, Technical University of Košice (2018)

Dr. Šlapak's research integrates Deep Learning, Physics-based modeling, and Large Language Models to solve wireless network challenges. His work on HetNets, UAV-assisted communications, and blockchain-enabled resource allocation demonstrates expertise in applying unsupervised learning and evolutionary algorithms to coverage optimization, radio resource management, and network topology design for next-generation mobile systems.

His 13 publications (2017-2023) reveal consistent focus on machine learning-driven wireless innovations, with increasing emphasis on deep learning for 5G/6G management and blockchain applications in vehicular networks. Key trends include UAV swarm coordination, HetNet spatial optimization via clustering algorithms, and multi-agent resource allocation frameworks addressing computational and radio resource constraints.

Scientific Awards:

• No awards documented in source material

Dr. Šlapak collaborates extensively with Assoc. Prof. Juraj Gazda and international researchers on EU-funded telecommunications projects. His laboratory work centers on developing self-organizing network frameworks through the Intelligent Information Systems Laboratory (IISLAB).

As a core IISLAB researcher, he contributes to experimental validation of AI-driven network solutions using agent-based modeling and real-world wireless testbeds, with recent work focusing on autonomous vehicle communication stacks and UAV-based mobile network deployment.