ConferenceRADIOELEKTRONIKA 2026
Members
Activation function effects in physics-informed neural networks for one-dimensional signal prediction Autonomous Control System Simulation Using Image Segmentation FCNN-based surrogate modeling of water flow around a hydroelectric dam Signal Prediction Using U-Net CNN: Beyond Traditional RNN Approaches Physics-informed neural networks for acoustic wave propagation Physics-Informed Neural Networks Application To Mass-Spring System Solution Simulation analysis of car aerodynamics within tunnel environment using deep learning: a comparative architectural study Clustering Using Conditional Generative Adversarial Networks (cGANs) Energy Consumption Optimization for UAV Base Stations With Wind Compensation Correcting defective trajectories using conditional gan Fast and computationally efficient generative adversarial network algorithm for unmanned aerial vehicle–based network coverage optimization
Ing. Marek Ružička, PhD.
Marek Ružička is an Assistant Professor at the Department of Computers and Informatics at the Technical University of Košice. He completed his doctoral studies under the mentorship of Prof. Ing. Juraj Gazda, PhD., focusing on the application of machine learning principles within dynamic Radio Access Network (RAN) operators' networks. Marek Ružička's research primarily concentrates on implementing deep learning technologies in 5G dynamic RAN networks. He is actively developing advanced techniques to enhance the efficiency of algorithms for positioning UAV-mounted base stations, with a particular emphasis on energy efficiency. In 2021, he enriched his expertise through an internship at the Czech Technical University in Prague, where he contributed to the 6G mobile research laboratory.
His current research endeavors include exploring Physics-Informed Neural Networks (PINNs) for practical applications. The insights gained from this research have been instrumental in developing the online AI-powered simulator siml.ai.
Research interests
- UAVs
- Deep Learning
- 5G
- Dynamic RAN
- Physics-Informed Neural Networks
Publications
16 publications · 2020–2026
2026
5Conference29th IEEE International Conference on Intelligent Engineering Systems 2025
ConferenceIEEE 30th Jubilee International Conference on Intelligent Engineering Systems
JournalIEEE Access
Synthesis of BPMN Models from Text Specification Using GPT Model
JournalActa Polytechnica Hungarica
2025
2ConferenceProceedings of the International Conference on Formal Methods and Foundations of Artificial Intelligence.
Prediction of Electromagnetic Signal Distribution Using Physics Informed Neural Nets
ConferencePhysical and Technological Problems of Transmission, Processing and Storage of Information in Infocommunication Systems
2024
2Conference2024 25th International Carpathian Control Conference
Conference2024 6th International Conference on Pattern Analysis and Intelligent Systems.
2023
2ConferenceRadioelektronika 2023.
JournalIEEE Communications Letters.
2022
2Conference2021 IEEE 4th International Conference on Advanced Information and Communication Technologies
JournalInternational Journal of Distributed Sensor Networks.