Biography
Juraj Gazda defended his doctorate in 2010 with the dissertation Multicarrier based transmission systems undergoing nonlinear amplification. He habilitated in 2016 and was appointed full professor in informatika in 2021; his inaugural lecture, on 16 September 2021, was titled „Decentralizované moderné komunikačné siete s prvkami vybraných algoritmov umelej inteligencie“.
He has been Vice-Rector for Innovation and Technology Transfer at the Technical University of Košice since 2023, appointed after the inauguration of rector Peter Mésároš, in the same round as Ivo Petráš (science, research and doctoral studies), Miroslav Kelemen (education), Ján Piteľ (international relations and mobility) and Rastislav Ručinský (development and external relations). His predecessor in the post was Dr. h. c. prof. Ing. Anton Čižmár, CSc.
Alongside the academic track he worked as an external consultant for Nokia Networks, formerly Nokia Siemens Networks, from 2011 to 2014, on IMS-based LTE wireless communication systems, and travelled to Verizon Wireless in Dallas, Texas, in 2013 to consult on the design of an IMS-based LTE network. He has been a guest researcher at Ramon Llull University in Barcelona, the Technical University of Hamburg-Harburg, and Delft University of Technology.
His published IEEE author biography states that he was recognised as Best Young Scientist at TUKE in 2017, and that he serves as an editor of KSII Transactions on Internet and Information Systems and as a guest editor of Wireless Communications and Mobile Computing. These three items are recorded here as his own biography states them; no independent source for them was found.
Research interests
Each source describes the interests differently, so each is listed as it stands rather than merged into one list.
- Cognitive radio networks: security, routing, economic aspects
- Artificial intelligence
- Green cognitive communications
- Agent-based modelling of network complexity
IISLAB profile
- Cognitive networks
- Spectrum trading and pricing
- Machine learning
Google Scholar tags
- Machine learning
- 5G and 6G
- Metaverse
- Autonomous mobility and connected autonomous vehicles
- Vehicular edge computing and split computing
- Neural and radiance fields
- UAV-assisted secure communications
- Quantum annealing for traffic optimisation
Read off the publication record below rather than off a profile page.
Bibliometrics
Google Scholar, read on 6 September 2026. ResearchGate counts a different set of publications on the same day and reports lower citation totals; the two are not reconciled here.
| Metric | All | Since 2021 |
|---|---|---|
| Citations | 1535 | 1133 |
| h-index | 18 | 16 |
| i10-index | 37 | 25 |
Selected publications
The twenty most cited items on his Google Scholar profile, with the citation counts as read on 6 September 2026.
- Blockchain-empowered framework for decentralized network management in 6G175 citationsT. Maksymyuk, J. Gazda, M. Vološín, G. Bugár, D. Horváth, M. KlymashIEEE Communications Magazine 58(9): 86-92, 2020
- An experimental comparison of feature selection methods on two-class biomedical datasets129 citationsP. Drotár, J. Gazda, Z. SmékalComputers in Biology and Medicine 66: 1-10, 2015
- Deep learning based massive MIMO beamforming for 5G mobile network103 citationsT. Maksymyuk, J. Gazda, O. Yaremko, D. NevinskiyIEEE 4th International Symposium on Wireless Systems, 2018
- Blockchain-empowered service management for the decentralized metaverse of things92 citationsT. Maksymyuk, J. Gazda, G. Bugár, V. Gazda, M. Liyanage, M. DohlerIEEE Access 10: 99025-99037, 2022
- Blockchain-based intelligent network management for 5G and beyond81 citationsT. Maksymyuk, J. Gazda, L. Han, M. Jo3rd International Conference on Advanced Information and Communications, 2019
- Deep semisupervised learning-based network anomaly detection in heterogeneous information systems62 citationsN. Lutsiv, T. Maksymyuk, M. Beshley, O. Lavriv, V. Andrushchak, A. Sachenko, J. GazdaComputers, Materials and Continua 70(1): 413-431, 2021
- Unsupervised learning algorithm for intelligent coverage planning and performance optimization of multitier heterogeneous network54 citationsJ. Gazda, E. Šlapak, G. Bugár, D. Horváth, T. Maksymyuk, M. JoIEEE Access 6: 39807-39819, 2018
- A survey on the spectrum trading in dynamic spectrum access networks46 citationsJ. Pastirčák, J. Gazda, D. KocurELMAR-2014: 1-4
- Cost-effective resource allocation for multitier mobile edge computing in 5G mobile networks44 citationsE. Šlapak, J. Gazda, W. Guo, T. Maksymyuk, M. DohlerIEEE Access 9: 28658-28672, 2021
- Neural radiance fields in the industrial and robotics domain: applications, research opportunities and use cases38 citationsE. Šlapak, E. Pardo, M. Dopiriak, T. Maksymyuk, J. GazdaRobotics and Computer-Integrated Manufacturing 90: 102810, 2024
- Rethinking deep CNN training: a novel approach for quality-aware dataset optimization37 citationsB. Rusyn, O. Lutsyk, R. Kosarevych, O. Kapshii, O. Karpin, T. Maksymyuk, J. GazdaIEEE Access 12: 137427-137438, 2024
- Features extraction from multi-spectral remote sensing images based on multi-threshold binarization37 citationsB. Rusyn, O. Lutsyk, R. Kosarevych, T. Maksymyuk, J. GazdaScientific Reports 13(1): 19655, 2023
- Receiver based compensation of nonlinear distortion in MIMO-OFDM26 citationsP. Drotár, J. Gazda, M. Deumal, P. Galajda, D. KocurIEEE International Microwave Workshop Series on RF Front-ends, 2010
- Receiver technique for iterative estimation and cancellation of nonlinear distortion in MIMO SFBC-OFDM systems24 citationsP. Drotár, J. Gazda, P. Galajda, D. Kocur, P. PavelkaIEEE Transactions on Consumer Electronics 56(2): 471-475, 2010
- Comparative evaluation of OFDMA and SC-FDMA based transmission systems22 citationsJ. Gazda, P. Drotár, P. Galajda, D. KocurIEEE 8th International Symposium on Applied Machine Intelligence, 2010
- Techno-economic framework for dynamic operator selection in a multi-tier heterogeneous network21 citationsG. Bugár, M. Vološín, T. Maksymyuk, J. Zausinová, V. Gazda, D. Horváth, J. GazdaAd Hoc Networks 97: 102007, 2020
- Novel M-sequence UWB sensor for ground penetrating radar application20 citationsP. Galajda, M. Pečovský, J. Gazda, M. DrutarovskýIEEE APCAP, 2018: 110-111
- Metaverse of Things in 6G era: an emerging fusion of IoT, XR, edge AI and blockchain technologies19 citationsT. Maksymyuk, J. Gazda, B. Shubyn, O. Karpin, O. Kapshii, O. UrikovaIEEE TCSET/ATR, 2022
- Tax optimization in an agent-based model of real-time spectrum secondary market18 citationsJ. Gazda, V. Kováč, P. Tóth, P. Drotár, V. GazdaTelecommunication Systems 64(3): 543-558, 2017
- Effects of spreading sequences on the performance of MC-CDMA system with nonlinear models of HPA18 citationsP. Drotár, J. Gazda, D. Kocur, P. GalajdaRadioengineering, 2009
DBLP-indexed publications
The 55 records DBLP holds for him as of 6 September 2026, read from data/dblp_publications.json when this page loads. This is not the full publication list: Google Scholar and ResearchGate both index more. DBLP writes some Slovak and Czech names without diacritics; the names this page has an independent spelling for are printed with them.
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IISLAB
The Intelligent Information Systems Lab at the Department of Computers and Informatics, founded in 2015. Its stated mission is fundamental and applied research in two areas, system modeling and data analysis and interpretation, with an emphasis on interdisciplinary work across departments and universities.
Research directions
- Voice as a Digital Biomarker
- Feature Selection for Big Data
- Bankruptcy Prediction and Decision Support Systems for Digital Businesses
- Machine Learning for Handwriting and Speech Analysis
- Dynamic Spectrum Distribution in 5G and Beyond 5G systems
- Intelligent Management for 5G and Beyond 5G systems
- Medical Imaging
Projects
- EAM-ECDG: Enhancing Autonomous Mobility through Edge Case Adaptation and Domain Generalization
- ABIGAIL: AI-Boosted Imaging for Glioma Analysis, Identification, and Localization
- AInnotator: AI-powered Annotation in Medical Imaging
- Predictive allocation of edge computing resources for autonomous driving
- MetaMobility: Revolutionizing Autonomous Mobility with progressive AI
Funded by the Slovak Research and Development Agency (APVV). No grant number is published. - Shape modelling and reconstruction of anatomical structures undergoing motion
- 2D/3D Image Fusion for Image Guided Intervention
- Deep neural networks for medical image segmentation
- Agent based modeling of the spectrum distribution in the cognitive radio networks
- Intelligent Dynamic Spectrum Access Management for the Future Cognitive Communication Networks
- Computer-Aided Decision Support System for Hepatic Encephalopathy
- Green heterogeneous network topologies with support of UAV mobile stations for 5G+ wireless communication systems
- Intelligent Management of 5G Mobile Network based on the Comprehensive Learning with deep learning
- Advanced feature selection methods for high dimensional data
Recent lab activity
Autonomous mobility work at the ZalaZONE proving ground in Hungary, collaboration with Mississippi State University on autonomous vehicles, and presentations at INTCOM 2026, IEEE SMARTCOMP 2026 and VTC2026-Spring.
Doctoral students
Described as their own IISLAB profile pages describe them.
- Matúš Dopiriak
- Neural architectures, neural radiance fields in robotics and autonomous mobility, edge computing.
- Róbert Rauch
- Acceleration of computer vision for autonomous vehicles in vehicular edge computing, through split computing and early exiting.
- Miroslav Imrich
- Radiance fields, edge computing, autonomous mobility.
- Eugen Šlapak
- Now assistant professor at TUKE. PhD on 5G HetNet physical topology design with machine learning; guest researcher at King's College London with Prof. Mischa Dohler.
Frequent co-authors
Peter Drotár, Marcel Vološín, Eugen Šlapak, Gabriel Bugár, Denis Horváth, Vladimír Gazda, Dušan Kocur, Pavol Galajda.
Taras Maksymyuk and Bohdan Rusyn (Lviv), Marco Levorato (UC Irvine), Zdeněk Bečvář and Pavel Mach (CTU Prague), Mischa Dohler (King's College London), Madhusanka Liyanage (University College Dublin), Minho Jo (Korea University), Devendra Singh Gurjar and Suneel Yadav (India).
Public-facing activity
- Panel „AI vs. Granty“ at SlovakiaTech 2023, with Tomáš Pavlik of UVP TECHNICOM and innovation expert Ivan Filus. TUKE was the university guarantor of the conference.
- Opened a conference on the healthcare innovation ecosystem with Deutsche Telekom IT Solutions Slovakia and UPJŠ, speaking on clinical decision support for early diagnosis, Parkinson's disease among the examples, on 3D-printed medical devices and virtual reality, and on a possible joint study programme with UPJŠ.
- Commented on the Slovak PERUN supercomputer in November 2025: „Superpočítač je architektúra, ktorá nám ponúka naozaj vysoké možnosti výpočtového výkonu.“
- The TOP študentská práca competition, run by TUKE with the Innovlab Startup centre of Deutsche Telekom IT Solutions Slovakia, in the categories Industry, Healthcare and Smart City.
Contact
- [email protected]
- Phone
- +421 55 6022923 Department of Computers and Informatics
- Phone
- +421 55 602 2121 Listed on the UVP TECHNICOM contact page. A different office line.
- Office
- Building PK 6, room 011-1, formerly č.d. 23
- Address
- Park Komenského 6, 042 00 Košice, Slovakia