Find Academic Supervisors

• Computer Science Education
• Educational Technology
• Virtual Reality
• +5 more

Patrik Voštinár is an Assistant Professor at the Department of Computer Science , Faculty of Natural Sciences , Matej Bel University . Holding a PhD in Applied Computer Science from the same university (2014-2017), he teaches courses in Programming , Discrete Mathematics , Web Technologies , and Android Programming . As department head and study advisor, he actively shapes academic programs and student experiences. Matej Bel University (2017-present) Department of Computer Science Faculty of Natural Sciences His research focuses on computer science education and educational technology , with particular emphasis on: VR/AR applications in teaching Game-based learning environments Microcontroller programming pedagogy Mobile application development education Physical computing tools for K-12 Adaptive learning interfaces His work with MakeCode , micro:bit , and EEG-controlled games demonstrates innovative approaches to programming education. He has received multiple eLearning competition awards for educational courseware development. Heart on the palm (Project of the year 2019) 2nd price in eLearning competition (2023) for Discrete Mathematics course Price of České společnosti pro systémovou integraci (2023) for Web Technologies 1st price in eLearning competition (2023) for Geometry Didactics Voštinár actively contributes to academic communities through: Membership in DIDINFO conference program (since 2017) Editorial Board member of Elementary Mathematics Education Journal Organizing workshops for primary/secondary students Popularizing informatics through extracurricular programs

Jana FortesView profile

Lecturer

• Signal Processing
• Localization Technology
• Tracking Systems
• +3 more

Jana Fortes is a Lecturer at the Faculty of Electrical Engineering and Informatics, Technical University of Košice, Slovakia. She teaches Applied Statistics, Cryptography, and Mathematics courses, including Numerical Mathematics and Probability and Statistics. Her research focuses on signal processing for localization and tracking systems using Ultra-Wideband (UWB) radar and sensor networks. Teaching: Applied Statistics, Cryptography, Mathematics I/II, Numerical Mathematics, Probability and Statistics, Mathematics Tutoring Research: UWB radar signal processing for person localization and tracking, software development (MATLAB, LabVIEW), cluster analysis for movement detection. Publications: Recent work includes studies on 2D/3D localization algorithms, UWB sensor system implementations, and mathematical analyses of graph crossing numbers. Contact: Email: jana.fortes@tuke.sk , Room N32 615, Phone: +421 55 602 3252.

• Electric Motor Control
• Power Electronics
• Sensorless Control
• +3 more

Dr. Karol Kyslan serves as Associate Professor and Vice-Dean for Research at the Faculty of Electrical Engineering and Informatics, Technical University of Košice, where he leads research initiatives and doctoral education programs. His academic profile centers on advanced control systems for electrical drives, with institutional affiliation deeply rooted in industrial automation applications. His research expertise spans sensorless control of Permanent Magnet Synchronous Motors (PMSM) , finite control set model predictive control , and sliding mode observers , addressing critical challenges in low-speed operation, fault tolerance, and industrial implementation. Key application domains include material processing lines, rotary shears, and steel production systems, where his work bridges theoretical control algorithms with practical machinery dynamics. Analysis of his 2021-2025 publications reveals a strategic evolution toward integrating machine learning for fault diagnosis while maintaining core focus on high-frequency signal injection techniques. Recent work demonstrates increasing sophistication in torque ripple compensation and real-time optimization, with growing emphasis on multiphase machine control and hardware-in-the-loop validation for industrial deployment.

• Petri Net Theory
• Modeling and Simulation
• Reactive Systems
• +3 more

Prof. Gabriel Juhás is a leading academic at the Institute of Applied Informatics within the Faculty of Informatics at Paneuropean University PEVŠ. With a career spanning over three decades, his expertise bridges formal methods in computer science, particularly Petri net theory, with practical applications in low-code development platforms like Netgrif. Comenius University (BS, Mathematics and Physics, 1993) Slovak University of Technology (PhD, Electrical Engineering and Informatics, 1999) University of Eichstätt-Ingolstadt (Habilitation, Informatics, 2005) His research focuses on modeling event-driven systems using Petri nets, advancing algebraic descriptions of event concurrency, and developing polynomial algorithms for scenario feasibility. He co-created the Petriflow low-code language, enabling process-driven application development deployed in leasing, insurance, healthcare, and energy sectors. Key trends in his publications include formal verification of concurrent systems, token flow analysis in Petri nets, and the evolution of low-code platforms for business process management. His work emphasizes translating theoretical models into practical solutions through startups like NETGRIF. He has supervised over 100 theses, including three doctoral dissertations, and led 15+ research projects. His industry collaborations with AUDI AG and IBM demonstrate his commitment to bridging academia and practice.

• Nonlinear dynamics
• Signal processing
• Time series analysis
• +6 more

Anna Krakovská serves as Head of the Department of Theoretical Methods at the Institute of Measurement Science, part of the Slovak Academy of Sciences (SAS) in Bratislava, Slovakia. Her position places her within one of SAS's key research institutes focused on measurement science and technology. Her research expertise centers on nonlinear dynamics applied to signal processing and time series analysis. She specializes in causality detection methods and the analysis of biological signals, particularly electrocardiograms (ECG) and electroencephalograms (EEG). Her work incorporates mathematical approaches from chaos theory and fractal geometry to investigate complexity in time series data. Dr. Krakovská maintains an active research profile with the Institute of Measurement Science, located at Dúbravská cesta 9, 841 04 Bratislava. Her contact information includes email (krakovska@savba.sk) and phone (+421-2-591045 36), indicating ongoing professional activity within the Slovak scientific community.

• Parallel Programming
• GPU Programming
• Image Processing
• +5 more

Sándor Szénási is a Professor at the Department of Informatics within the Faculty of Economics and Informatics at J. Selye University, where he serves as the person responsible for the Applied Informatics study program. With over two decades of academic experience, he has established himself as a leading researcher in parallel programming, GPU programming, and image processing, with recent expansion into machine learning applications. Eötvös Loránd University, Faculty of Science and Informatics (2001-2004): Information technology teacher Budapest Polytechnic, John von Neumann Faculty of Information Technology (1997-2001): B. Engineer in Information Technology Óbuda University (2010-2013): PhD in Applied Informatics Habilitation at Óbuda University (2019): Information Science and Technology Professor inauguration at Óbuda University (2022) Szénási's research spans computational methods with practical applications across multiple domains. His early work focused on parallel and GPU programming for image segmentation and heat transfer simulation. More recently, he has integrated machine learning techniques with traditional computational approaches, particularly in metaheuristic optimization, speech processing, and inverse problem solving. His interdisciplinary research bridges computer science with transportation safety, manufacturing, and medical applications. His recent publications reveal a clear evolution toward hybrid computational approaches that combine machine learning with traditional algorithms. There is a strong emphasis on optimization techniques, particularly metaheuristics enhanced with machine learning components. His work spans diverse application areas including speech emotion recognition, autonomous vehicle control, additive manufacturing, and heat transfer simulation, while maintaining a core focus on computational efficiency and parallel processing. Szénási has been actively involved in multiple EFOP-funded research projects including 'Improvement of higher education institutes for better teaching quality and accessibility,' 'Dynamics and control of autonomous vehicles,' and 'Solving the Inverse Heat Conduction Problem with Machine Learning.' His collaborative work with researchers like Gábor Kertész, Zoltán Vámossy, and Imre Felde demonstrates his commitment to interdisciplinary research.

• Neural Networks
• Deep Learning
• Biomedical Signal Analysis
• +4 more

Máté Hireš is an Assistant Professor at the Technical University of Košice's Department of Computers and Informatics. He earned his PhD in computer science from the same institution, specializing in Parkinson's disease diagnosis using deep learning for voice analysis. His doctoral research extended his master's thesis on distributed neural radiance fields for autonomous vehicles. Hireš's work bridges neural networks, deep learning, and biomedical applications, particularly in analyzing handwriting, speech, and signal data for neurological disorder detection. His publications demonstrate consistent focus on Parkinson's disease diagnostics through innovative machine learning approaches applied to voice recordings and handwriting samples. Research Focus Deep learning for pathological speech detection Handwriting analysis for neurodegenerative diseases Robust diagnostic model development Biomedical signal processing

Miroslav ŠipikalView profile

Associate Professor

• Regional Policy
• EU Regional Policy
• Innovation Policy
• +5 more

Miroslav Šipikal is an Associate Professor and Head of the Department of Public Administration and Regional Development at the Faculty of Economics and Finance, Bratislava University of Economics and Business. His research focuses on regional policy, EU regional policy, innovation policy, and the role of foreign direct investment (FDI) in regional development. He has led projects such as eVALU8 (Learning by Evaluating) and UNIREG (Universities in Regional Development), emphasizing policy evaluation and university-industry collaboration. His academic career includes teaching courses like Methods of Regional Analysis and Project Development . Key research areas include the effectiveness of EU structural funds, knowledge spillovers in innovation systems, and university contributions to regional growth. He has published extensively on topics such as subsidy impact assessment, entrepreneurial ecosystems, and spatial policy frameworks. Šipikal has contributed to strategic initiatives like the Bee4R LAB (Bratislava Behavioral and Economic Experiences for Research) and collaborates with institutions on projects analyzing administrative barriers to EU policy implementation. His work bridges theoretical frameworks with empirical evidence, particularly in Central and Eastern Europe.

• Digital Image Processing
• Signal Processing
• Soft Computing
• +5 more

Prof. Annamária Várkonyiné Kóczy is a Professor at the Department of Informatics within the Faculty of Economics and Informatics at J. Selye University. She holds a joint appointment as a professor at Óbuda University's Institute of Software Design and Software Development. Her academic journey includes: Electrical Engineering studies (Measurement and Control) at Technical University of Budapest (1975-1981) Mechanical Engineering degree (Mechanical Engineer-Teacher) from the same institution (1978-1983) PhD in Computer Science from Technical University of Budapest (1996) DSc (Doctor of Sciences) from Hungarian Academy of Sciences (2010) Habilitation from Széchenyi István University (2017) Her research spans digital signal processing, soft computing, and hybrid techniques for complex systems, with applications in medical diagnostics, intelligent control, and sustainable technologies. She leads projects in computational intelligence and has developed novel algorithms for real-time processing in resource-constrained environments. Recent publications demonstrate strong focus on AI-driven solutions: machine learning for bioacoustic analysis (beehive swarming), fuzzy logic optimizations for edge computing, medical imaging diagnostics (COVID-19 detection), and sustainable energy control systems. Her work consistently bridges theoretical models with practical implementations in healthcare, environmental monitoring, and industrial diagnostics. She has secured multiple research grants including: OTKA K 105846: Intelligent Space and robotics (2012-2017) OTKA K 78576: Intelligent techniques in signal/image processing (2009-2013) GVOP-3.3.1: Intelligent 3D modeling systems (2006-2007) EU Structural Funds projects on vehicle industry collaborations She mentors graduate researchers in applied informatics and leads international collaborations across Europe and Asia, focusing on intelligent systems development.

Miriam AndrejiováView profile

Associate Professor

• Teaching Theory
• Applied Mathematics
• Statistics
• +3 more

Miriam Andrejiová is an Associate Professor at the Department of Applied Mathematics and Informatics, Faculty of Mechanical Engineering, Technical University of Košice. Her academic career spans over two decades, with expertise in teaching theory and applied mathematical/statistical methods. PhD in Physics Teaching Theory (2004) Habilitation in Earth Resources Acquisition and Processing (2020) Academic affiliation: Technical University of Košice (since 2000) Andrejiová's research focuses on teaching theory and the application of mathematical and statistical methods in engineering contexts. She has contributed extensively to industrial engineering problems, particularly in conveyor belt mechanics and materials science. Her publications highlight statistical modeling of conveyor belt failure analysis using logistic regression and Naive-Bayes methods, with a strong emphasis on impact loading and rubber composite behavior. These works demonstrate interdisciplinary collaboration between mathematics and mechanical engineering. She supervises numerous students and has participated in multiple research projects, including VEGA, KEGA, APVV, and ITMS initiatives, focusing on mathematical modeling, materials science, and educational innovation.

• Cultural Anthropology
• Folkloristics
• Religious Studies
• +2 more

Tatiana Buzekova is an Associate Professor at the Faculty of Arts, Comenius University , Bratislava, Slovakia, specializing in Cultural Anthropology and Ethnology. Her research spans religion, magic, emotions, memory, and cultural representations of the body, with a focus on contemporary European traditions and socio-cultural contexts. PhD in Ethnology (2004) and habilitation in Religious Studies (2025) Leader of major grants including ERC DEAGENCY (2023–2028) and APVV-22-0063 (2023–2027) Editorial roles: Journal Etnologické rozpravy (2018–2023), Etnologia Slovaca et Slavica (2016–)

• Artificial Intelligence
• Wireless Communications
• Cognitive Radio Networks
• +4 more

Prof. Juraj Gazda is a Professor at the Faculty of Electrical Engineering and Informatics, Technical University of Kosice. His research focuses on cognitive radio networks, artificial intelligence, green communications, and agent-based modeling. He holds a PhD in engineering from TUKE (2010) and has extensive industry experience as an external consultant at Nokia Networks (2011–2014), advising on LTE wireless systems. He has been a guest researcher at institutions like Ramon Llull University (Spain), Technical University of Hamburg (Germany), and Delft University of Technology (Netherlands). His teaching includes stochastic modeling and data analysis courses. Gazda’s work bridges academia and industry, emphasizing network security, autonomous systems, and 6G technologies. Research highlights include contributions to UAV-assisted networks, blockchain-based spectrum management, and AI-driven edge computing. His projects address real-world challenges in 5G/6G networks, including energy efficiency, secure communication, and autonomous vehicle coordination. Gazda actively collaborates with global tech firms like Verizon Wireless, contributing to network design and optimization. Publications span AI applications in healthcare, vehicular networks, and quantum computing. He advocates for interdisciplinary research, integrating machine learning, blockchain, and metaverse technologies to address future mobility and communication needs.

Ján HeftyView profile

Professor

• Geodesy
• Geodynamics
• GNSS Applications
• +3 more

Prof. Ján Hefty serves as Professor and Head of the Department of Global Geodesy and Geoinformatics at the Faculty of Civil Engineering, Slovak University of Technology in Bratislava, a position he has held since 2003. With continuous affiliation since 1975, he progressed from Observatory Assistant to full Professor in 2006 following his inaugural lecture on permanent GNSS monitoring for geodesy and geodynamics. His academic credentials include a Candidate of Sciences (PhD equivalent) in Geodesy and Cartography obtained in 1985 with research on Earth dynamics using astronomical measurements, followed by habilitation in 1995 leading to Associate Professorship. His scholarly journey reflects deep specialization in geodetic methodologies and Earth system science. Prof. Hefty's research spans geodetic astronomy (1975-2000), Earth rotation analysis (1980-1995), and modern geodynamics using GNSS since 1991. His current work focuses on high-frequency GPS analysis for seismic displacement detection, Central European geokinematic modeling, and troposphere/ionosphere studies. He established Slovakia's first permanent GPS station in Modra-Piesk and directs the Local Analytical Center of the European Permanent Network. His 110+ publications reveal evolving trends from optical astrometry to cutting-edge GNSS applications, with recent work emphasizing real-time geodesy for natural hazard monitoring and reference frame densification in Central Europe. The research consistently bridges theoretical geodesy with practical geodynamic applications. Prof. Hefty has co-led 25 research and grant projects including the Central European Regional Geodynamics Project (CERGOP) and European Permanent Network initiatives. His international collaborations include five research stays at the Paris Observatory's International Earth Rotation Service, focusing on astrometric Earth rotation determination and VLBI applications. He oversees critical geodetic infrastructure including the Modra-Piesk GPS station and Central European data analysis center, which continuously process observations from regional networks. His team's work supports reference frame realization, crustal deformation monitoring, and the integration of geodetic data with geophysical models across Central Europe.

Zuzana GibováView profile

Lecturer

• Physics Education
• Mechanics
• Thermodynamics
• +4 more

RNDr. Zuzana Gibová, PhD is a Lecturer at the Department of Physics , Faculty of Electrical Engineering and Informatics , Technical University of Košice , Slovakia. She specializes in physics education with a focus on mechanics, thermodynamics, and educational technology . Teaches Mathematics II and Numerical Methods, Probability and Mathematical Statistics Develops interactive teaching materials including applets and video experiments Research Interests : Her work concentrates on enhancing physics instruction through: Dynamic modeling in Coach software Video measurement techniques Development of laboratory exercises Didactic material creation Improving physics education via technology Recent Publications highlight her contributions to physics teaching, including: Interactive physics applets Rotational motion analysis Thermodynamics education Video-based experimental physics Conservation laws in mechanics Teaching Materials available include: Mechanical motion of particles and bodies (2014) Physics with applets video series Supplementary materials for waves and fields

• Developmental Biology
• Entomology
• Neurobiology
• +3 more

Dušan Žitňan is a leading researcher and head of the Institute of Zoology at the Slovak Academy of Sciences (SAS). His work primarily focuses on developmental biology, entomology, neurobiology, and hormonal regulation in insects. Institute: Slovak Academy of Sciences School: Institute of Zoology Academic Rank: Researcher Research interests span developmental biology, exploring molecular mechanisms in insect models, and neurobiology, particularly neuropeptide signaling. His contributions to entomology involve studying physiological processes and hormonal regulation in invertebrates. For collaboration or inquiries, contact him via email: dusan.zitnan@savba.sk .