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prof. Ing. Juraj Gazda, PhD.

prof. Ing. Juraj Gazda, PhD.

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Juraj Gazda defended his dissertation thesis Multicarrier based transmission systems undergoing nonlinear amplification in 2010. In the time frame 2011-2014, besides his education and research activities at Technical University of Kosice, he was also with the Nokia Networks (former Nokia Siemens Networks) working as the external consultant dealing with the IMS based LTE wireless communication systems. In the past, he acted as the guest researcher at the Ramon Llull University (Barcelona, Spain), Technical University of Hamburg, Harburg (Germany) and Delft University of Technology (Netherlands). In 2013, he visited Verizon Wireless (Dallas, TX, USA) to consult the design of IMS based LTE network for Verizon Wireless.

Research interests:
  • Cognitive networks
  • Spectrum trading and pricing
  • Machine learning
Publications:

2025

M. Čavojský, E. Šlapak, M. Dopiriak, G. Bugár, J. Gazda

3CSim: CARLA Corner Case Simulation for Control Assessment in Autonomous Driving

Journal: 2024 IEEE 8th International Conference on Information and Communication Technology.

S. Javed, P. Mach, Z. Bečvář, J. Gazda

An Energy-Efficient Sleeping Strategy for Multi-Access Edge Computing

Journal: 2025 IEEE Wireless Communications and Networking Conference.

R. Rauch, Z. Bečvář, P. Mach, J. Gazda

Cooperative multi-agent deep reinforcement learning for dynamic task execution and resource allocation in vehicular edge computing

Journal: IEEE transactions on vehicular technology.

R. Rauch, J. Gazda

Distributed deep reinforcement learning via split computing for connected autonomous vehicles

Journal: Acta Electrotechnica et Informatica.

P. Drotár, M. Hireš, P. Mésároš, J. Gazda, L. Vokorokos

Evaluating Dysgraphia Level Using Handwriting Dynamics

Journal: IEEE 12th International Joint Conference on Cybernetics and Computational Cybernetics, Cyber-Medical Systems

R. Rauch, J. Gazda, M. Levorato

Leveraging LSTM networks for adaptive deep learning in connected autonomous vehicles

Journal: 2025 IEEE Wireless Communications and Networking Conference.

R. Rusnáková, M. Chovanec, M. Harahus, J. Gazda

QUBO Formulation of the Shortest Path Algorithm and its Evaluation on a Quantum Annealer

Journal: 2025 IEEE 23rd World Symposium on Applied Machine Intelligence and Informatics

G. K. Pandey, D. S. Gurjar, S. Yadav, S. Solanki, J. Gazda, S. Chatzinotas

Secrecy Analysis and Optimization of UAV-Assisted Communications With Hybrid SWIPT and Cooperative Jamming

Journal: IEEE JOURNAL ON MINIATURIZATION FOR AIR AND SPACE SYSTEMS.

C. Uličný, R. Rauch, J. Gazda, Z. Bečvář

Split computing in autonomous mobility for efficient semantic segmentation using transformers

Journal: 2025 IEEE Symposia on Computational Intelligence for Energy, Transport and Environmental Sustainability.

2024

E. Šlapak, M. Dopiriak, M. A. A. faruque, J. Gazda, M. Levorato

Distributed Radiance Fields for Edge Video Compression and Metaverse Integration in Autonomous Driving

Journal: 2024 IEEE International Conference on Smart Computing

B. Rusyn, O. Lutsyk, R. Kosarevych, T. Maksymyuk, J. Gazda

Features extraction from multi-spectral remote sensing images based on multi-threshold binarization

Journal: Scientific reports.

E. Šlapak, A. Petík, M. Vološin, M. Dopiriak, J. Gazda, Z. Bečvář

Graph Neural Network Empowered Resource Allocation for Connected Autonomous Mobility

Journal: 2023 Seventh IEEE International Conference on Robotic Computing.

D. Levický, M. Čavojský, J. Gazda, G. Bugár

Machine Learning-Driven Edge and Split Computing Architectures Study in High-Mobility Dynamic Environments

Journal: Proceedings of ELMAR-2023

E. Šlapak, E. Pardo, M. Dopiriak, T. Maksymyuk, J. Gazda

Neural radiance fields in the industrial and robotics domain: Applications, research opportunities and use cases

Journal: Robotics and computer integrated manufacturing = Robotics & computer-integrated manufacturing

M. Dopiriak, J. Gerec, J. Gazda

Reconstruction of Photorealistic 3D Urban Scenes Using Radiance Fields as Digital Twins for Autonomous Driving

Journal: Acta Electrotechnica et Informatica.

B. Rusyn, O. Lutsyk, R. Kosarevych, O. Kapshii, O. Karpin, T. Maksymyuk, J. Gazda

Rethinking Deep CNN Training: A Novel Approach for Quality-Aware Dataset Optimization

Journal: IEEE access

2023

T. Maksymyuk, J. Gazda, G. Bugár, V. Gazda, M. Liyanage, M. Dohler

Blockchain-Empowered Service Management for the Decentralized Metaverse of Things

Journal: IEEE Access

M. Vološin, E. Šlapak, Z. Bečvář, T. Maksymyuk, A. Petík, M. Liyanage, J. Gazda

Blockchain-based route selection with allocation of radio and computing resources for connected autonomous vehicles

Journal: IEEE transactions on intelligent transportation systems.

M. Ružička, Z. Bečvář, J. Gazda

Energy Consumption Optimization for UAV Base Stations With Wind Compensation

Journal: IEEE Communications Letters.

2022

T. Maksymyuk, J. Gazda, M. Liyanage, H. Longzhe, B. Shubyn, B. Strykhaliuk, O. Yaremko, M. Jo, M. Dohler

Ai-enabled blockchain framework for dynamic spectrum management in multi-operator 6g networks

Journal: Future Intent-based networking.

T. Maksymyuk, M. Vološin, J. Gazda, M. Liyanage

Blockchain-based decentralized service provisioning in local 6g mobile networks

Journal: The 19th ACM Conference on Embedded Networked Sensor Systems

M. Ružička, T. Maksymyuk, J. Gazda, M. Vološin, Y. Bobalo

Correcting defective trajectories using conditional gan

Journal: 2021 IEEE 4th International Conference on Advanced Information and Communication Technologies

N. Lutsiv, T. Maksymyuk, M. Beshley, O. Lavriv, V. Andrushchak, A. Sachenko, L. Vokorokos, J. Gazda

Deep semisupervised learning-based network anomaly detection in heterogeneous information systems

Journal: Computers, Materials & Continua.

R. Rauch, Š. Korečko, J. Gazda

Evaluation of proximal policy optimization with extensions in virtual environments of various complexity

Journal: 2022 32nd International Conference Radioelektronika, RADIOELEKTRONIKA 2022

M. Ružička, M. Vološin, J. Gazda, T. Maksymyuk, L. Han, M. Dohler

Fast and computationally efficient generative adversarial network algorithm for unmanned aerial vehicle–based network coverage optimization

Journal: International Journal of Distributed Sensor Networks.