 received his BSc and MSc degrees in Informatics from the Technical University of Košice in 2023 and 2025, respectively. He is currently pursuing a PhD at the same institution under the supervision of 

His research is focused on computer vision methods for medical imaging.

Branislav Setlák

 received his BSc and MSc degrees in Informatics from the Technical University of Košice in 2023 and 2025, respectively. He is currently pursuing his PhD  at the same institution under the supervision of 

His research explores deep learning methods for computer vision, focusing on dynamic execution with early exiting and split computing, transformer-based architectures, and RAG systems.

Chris Uličný

Ing. Daniel Šolc is a Doctoral Candidate at the Department of Computers and Informatics at the Technical University of Košice, conducting research under 

 His research focuses on scene understanding and corner-case detection for autonomous driving, with a particular emphasis on vision-language models. His work spans open-vocabulary and 3D object detection, semantic segmentation, and scene graph generation, and draws on simulation environments (CARLA), digital twins, V2X cooperative perception, and edge computing platforms such as NVIDIA Jetson.

Daniel Šolc

 is a PhD student at the Department of Computers and Informatics, Technical University of Košice, under 

 His research focuses on implementing self-supervised deep-learning methods in medical imaging. He is also searching for improvements in GAN applications in various areas. During his study, he won several international coding competitions.

Dávid Jozef Hreško

Eugen Šlapak received his BSc. and MSc degrees in Informatics from the Technical University of Košice, Košice, Slovakia, in 2016 and 2018, respectively. His master’s thesis focused on using self-organizing maps for HetNet topology design under the supervision of 

. Since 2017, he has worked with the Intelligent Information Systems Laboratory research team at the Technical University of Košice. His research focuses on applications of machine learning approaches to cellular wireless networks modeled as multi-agent systems.

Eugen Šlapak

 received an M.Sc. and Ph.D. in electronics from the Technical University of Kosice, Slovakia, in 2007 and 2010, respectively. He is a Research Assistant at the Department of Electronics and Multimedia Telecommunications, Technical University of Košice.

Steganography, watermarking, and image processing

Gabriel Bugár

Dr. Gaurav Kumar Pandey received his M.Tech. degree in Communication Engineering from the National Institute of Technology Nagaland, India, in 2018 and his Ph.D. from the National Institute of Technology Silchar, India, in November 2025. His research focuses on secure and energy-efficient wireless communications in non-terrestrial networks, UAV-enabled communication frameworks, RF energy harvesting, reconfigurable intelligent surfaces, physical layer security, and optimization techniques. His work has led to high-impact contributions, including a comprehensive survey in IEEE Communications Surveys & Tutorials and publications in IEEE Transactions on Vehicular Technology and IEEE Internet of Things Journal. He is a recipient of a GATE fellowship and is actively engaged as a reviewer for top IEEE journals, including IEEE Transactions on Vehicular Technology, IEEE Communications Letters, and IEEE Wireless Communications Letters, as well as for over 20 international conferences.

Gaurav Kumar Pandey

 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.

Juraj Gazda

Marcel Vološin received his BSc and MSc in Informatics from the Technical University of Košice, Slovakia, Department of Computers and Informatics, in 2016 and 2018, respectively. He is currently an assistant professor of Informatics at the same department. His research interests include agent-based modeling of real-time spectrum trading schemes and wireless networks in conjunction with mobility models in simulated city environments. In addition, he works on the integration of large language models into conversational systems and serves as a co-creator of the university’s chatbot chatbot.tuke.sk .

Marcel Vološin

 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 

, 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.

Marek Ružička

 received the B.Sc. and M.Sc. degrees in Computer Modelling from Technical University of Kosice, Slovakia, in 2017 and 2019 respectively. Currently, he is a PhD student in informatics at the Department of Computers and Informatics, Technical University of Kosice. He focuses on applications of AI in medical imaging in various disciplines, such as segmentation, localisation and diagnostics.

Matej Gazda

 is an assistant professor at the Department of Computers and Informatics at the Technical University in Košice, conducting research under 

. His research primarily focuses on the exploration and integration of neural architectures, with a specific emphasis on radiance fields, in robotics and vehicle autonomous mobility, particularly concerning edge computing.

Matúš Dopiriak

 is a Doctoral Candidate at the Department of Computers and Informatics, Technical University of Košice, under the supervision of 

 He received his BSc. and MSc. degrees in Informatics in 2022 and 2024, respectively. His master’s thesis focused on distributed neural radiance fields and data-throughput reduction, providing the foundation for his current doctoral research, which explores advanced technologies for intelligent industry and autonomous robotic systems.

Miroslav Imrich

 is an Assistant Professor at the Department of Computers and Informatics at the Technical University of Košice. He received Ph.D. degree in computer science from the Faculty of Electrical Engineering and Informatics, Technical University of Kosice, focusing on diagnosis of Parkinson's disease from voice using deep learning techniques. His research interests include neural networks and deep learning, biomedical signal analysis and biomedical decision support systems. 

Máté Hireš

Peter Bugata received the B.Sc. and M.Sc. degrees in informatics from Technical University of Kosice, Slovakia, in 2016 and 2018, respectively. Currently, he is a PhD student in informatics at the Department of Computers and Informatics, Technical University of Kosice.

Peter Bugata

 received M.Sc. and Ph.D. degrees in electronics from Technical University of Kosice, Slovakia in 2007 and 2010, respectively. From 2010 to 2012, he was with Honeywell International, Advanced Technology Europe as Scientist for Communication and Surveillance systems. From 2012 to 2015, he was with SIX research centre, Brno University of Technology as postdoctoral research assistant. He acted as a visiting researcher at University of Southern California, LA, USA, Ramon Llull University in Barcelona, ESP and Hamburg University of Technology, Hamburg-Harburg, GER. Currently, he is Associate Professor at the Department of Computers and Informatics, Technical University of Kosice.

Machine learning for handwriting and speech analysis

Bankruptcy prediction, decision support for digital business

Peter Drotár

 received his M.Sc. and Ph.D. degrees in Informatics from the Technical University of Kosice, Slovakia, in 2018 and 2021, respectively. Actually, he is an assistant professor at the Department of Computers and Informatics, Technical University of Kosice. His research focuses on applying machine learning approaches to strongly imbalanced data.

Peter Gnip

Renáta Rusnáková is a PhD student at the Technical University of Košice (since 2024), specializing in Quantum Computing with applications in Cybersecurity and Artificial Intelligence. Her current research involves exploring the use of Quantum Annealing to solve optimization problems in urban traffic. She holds a Master's Degree in Mathematical Methods of Informational Security from Charles University in Prague (2007–2012), where her thesis focused on NP search problems and reductions among them.

She is currently working also as a Software Analyst at the Department of DevOps IS at the Technical University of Košice (since 2024). Prior to her academic pursuits, she built an extensive career spanning over 12 years in the financial and telecommunications industries. She served as a Senior Application Developer at Deutsche Telekom IT Solutions Slovakia (2023–2024), where she focused on the development of ETL processes on the Microsoft Azure platform, building data Lakehouses using Azure Databricks, and preparing CI/CD deployment pipelines. Her earlier roles include Senior System Developer at DTSE-SK (2019–2023), Reporting Analyst/Developer at VÚB banka (2017–2018), and Review Specialist at Raiffeisenbank CZ (2012–2015).

Cybersecurity and Artificial Intelligence

Cryptography and Computational Complexity

Renáta Rusnáková

 is a PhD student at the Department of Computers and Informatics, Technical University of Kosice. His research focuses on machine learning, business data analytics and neural networks.

Róbert Kanász

 received his BSc. And MSc. Degrees in Informatics from Technical University of Košice, Slovakia in 2019 and 2021, respectively. He is currently pursuing his PhD at the Department of Computers and Informatics, Technical University of Košice under the supervision of 

. His research interest is acceleration of computer vision tasks for autonomous vehicles in vehicular edge computing via split computing and early exiting.

Róbert Rauch

 received his BSc and MSc degrees in Data Science from the Technical University of Košice. He is currently pursuing a PhD at the same institution under the supervision of 

 His research focuses on advanced audio analysis methods mainly for medical applications. 

Members

Professors