Eva Rakovská is an Assistant Professor at the Department of Applied Informatics , Faculty of Economic Informatics , University of Economics in Bratislava . Her work spans Knowledge Management , Artificial Intelligence , and E-learning in public administration contexts. Academic Affiliation: Faculty of Economic Informatics, University of Economics in Bratislava Research Focus: Knowledge Management, Expert Systems, Fuzzy Logic, E-learning Platforms Key Grants: VEGA 1/0261/10, VEGA 1/0373/18, KEGA 015EU-4/2021 Her publications since 2004 reveal a consistent focus on Knowledge Management and Artificial Intelligence in public sector contexts, with recent trends emphasizing Fuzzy Logic for software usability and Explainable AI . She has contributed to LMS system design and inclusive education technologies for disabled students. While no explicit awards are listed, her work has been cited in international journals (e.g., International Journal of Applied Mathematics and Computer Science ) and conferences. She has collaborated extensively in academic editing and conference organization for events like AIESA and DisCo .
Assoc. Prof. Eva Chovancová PhD is an academic at the Faculty of Electrical Engineering and Informatics, Department of Computer Science, Technical University of Košice. Her roles include teaching Principles of Computer Engineering (PPI), Computer Engineering and Secure Hardware (PIaZH), and serving as a Study Advisor. Her research focuses on: Specialized multi-core processors for data processing acceleration Computer systems security She is a member of the Slovak Society for Applied Cybernetics and Informatics (SSAKI) at KPI FEI TU Košice. Her teaching involves managing lectures and exercises in: Number systems and VHDL language Security of information and communication systems Computer systems architectures
Robert Gallas serves as a Lecturer in the Department of Computer Science at Matej Bel University (MBU) in Banská Bystrica, Slovakia. Holding the engineering title Ing. , he is an active university teacher with responsibilities spanning teaching and academic consultation across the institution's faculties. His research expertise centers on computational disciplines, with primary focus on: Information Systems design and management Software Engineering methodologies Artificial Intelligence applications Data Science analytics Computer Networks infrastructure Database Systems architecture Consultation hours are available Monday through Friday, and direct contact is facilitated via institutional email.
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.
Igor Košťál is an Assistant Professor at the Department of Applied Informatics within the Faculty of Economic Informatics at the University of Economics in Bratislava . His research focuses on Distributed Technologies , Parallelization of Applications , and Data Structure Optimization , particularly in the context of .NET frameworks and industrial robotics. University: University of Economics in Bratislava School: Faculty of Economic Informatics Department: Department of Applied Informatics Academic Rank: Assistant Professor Košťál's work emphasizes software performance testing , with publications analyzing execution efficiency in .NET applications using parallel programming , Dijkstra's algorithm , and symbol table implementations . His recent research explores modern UI development in mobile applications and algorithm optimization for industrial robotics. Key trends in his 15 most recent articles (2014-2022) include: Performance analysis of parallel and sequential algorithms in .NET environments Optimization of data structures (arrays, linked lists, skip lists) for search efficiency Integration of asynchronous methods in WCF services and clients Testing precision in KUKA welding robots through structured data extraction
Peter Procházka is an Assistant Professor at the University of Economics in Bratislava, affiliated with the Faculty of Economic Informatics and the Department of Applied Informatics . His teaching and research focus on IoT , UX Design , Multimedia Applications , and technical education. His research spans several subfields, including: IoT : Development of educational tools using Arduino, smart device integration, and open-source platforms. Generative AI : Prompt engineering for neural networks and machine learning applications. Web Analysis : SEO tools, linguistic summaries for data visualization, and compliance with public administration standards. His publications highlight a trend toward data-driven decision-making in technology, including big data, machine learning, and IoT frameworks. He has also contributed pedagogical works on computer hardware, multimedia, and IoT, alongside collaborative studies on digital citizenship and pandemic response in educational institutions.
Jan Melicher is a Professor in the Department of Theoretical Geodesy and Geoinformatics at the Faculty of Civil Engineering, Slovak University of Technology in Bratislava. His research focuses on Geodesy and Geoinformatics , with specialized expertise in theoretical geodetic modeling, spatial data systems, and precision surveying methodologies. His work bridges engineering applications with advanced computational techniques in earth measurement sciences. Contact: jan.melicher@stuba.sk , +421 232 888 348.
Róbert Gyepes is a Professor of Chemistry at the Faculty of Education, J. Selye University. He holds a PhD in Inorganic Chemistry from Charles University in Prague (1996) and completed habilitation there in 2005. Previously, he served as an Associate Professor at Charles University (2005–2010) before joining J. Selye University in 2010. His research focuses on structure determination via diffraction techniques and quantum-chemical computations, particularly in organometallic compounds and solid-state chemistry. Key projects include 'Vanadium compounds in catalysis and material chemistry' (VEGA-funded, 2017–2021) and 'CHARLES UNIVERSITY CENTRE OF ADVANCED MATERIALS' (CZ.02.1.01/0.0/15_003/0000417, 2017–2022). Dr. Gyepes has authored over 60 peer-reviewed articles, with recent work appearing in Inorganic Chemistry , Journal of Inorganic Biochemistry , and Organic & Biomolecular Chemistry . He advises students in chemistry education programs and collaborates on projects involving MOFs, antimicrobial agents, and materials synthesis. His contributions span over 200 publications in various categories, demonstrating expertise in both fundamental and applied chemical research.
Šlapak Eugen is an Assistant Professor at the Technical University of Košice. His research focuses on autonomous driving systems, edge computing, and network optimization, with a particular emphasis on applying neural networks and blockchain technologies in vehicular and 5G networks. Eugen Šlapak holds a PhD in [specific field not explicitly stated, likely Engineering/Computer Science] and an Ing. (engineer) degree. His academic background combines technical expertise in telecommunications and computer science. His research interests span autonomous driving technologies, including simulation and control systems, as well as edge computing and metaverse integration. He also explores blockchain applications in vehicular networks, resource allocation in 5G and beyond, and the use of graph neural networks for network optimization. His work intersects machine learning, robotics, and telecommunications to address challenges in modern communication systems and intelligent transportation. Recent publications highlight advancements in neural radiance fields for industrial robotics, distributed edge video compression for autonomous driving, and blockchain-based resource allocation in connected vehicles. Earlier work includes optimization of UAV-assisted networks and HetNet topology design using machine learning clustering methods. While no formal awards are listed, his contributions to vehicular networks, edge computing, and AI-driven network design reflect significant scholarly impact. Advising details are not documented here, but his research collaborations likely involve cross-disciplinary teams focusing on autonomous systems and 5G infrastructure. No lab affiliations or teams are explicitly mentioned, though his teaching role in the course Stochastické modelovanie a analýza dát (SMaAD) suggests involvement in data analysis and stochastic modeling initiatives.
Martina Kubovcikova is a Senior Lecturer at the Department of Applied Mathematics and Informatics, Faculty of Mechanical Engineering, Technical University of Košice. Her work is rooted in applied mathematics and computational sciences, aligning with the department's focus on mathematical modeling and informatics. She is affiliated with the university's research initiatives under the Department of Applied Mathematics and Informatics, contributing to teaching and academic activities in engineering studies. Her responsibilities include curriculum development, consultation hours, and participation in academic governance, as noted in the university's schedules and study regulations. Martina Kubovcikova’s research interests span applied mathematics, computational theory, and interdisciplinary applications in engineering. These interests are reflected in her teaching focus on mathematical foundations for bachelor's and master's degree programs, elective courses, and recommended literature. Her academic contributions include collaboration on grant projects and scientific cooperation, though specific awards or publications are not highlighted in the available data. She also engages with student resources such as exam cover pages and academic integrity policies.
Assoc. Prof. Pavel Beňo, PhD. is an Associate Professor at the Department of Mechanics, Mechanical Engineering and Design within the Faculty of Technology at Technical University in Zvolen. He serves as the Dean of the Faculty of Technology and holds leadership roles in academic governance bodies. Position: Associate Professor & Dean Department: Mechanics, Mechanical Engineering and Design University: Technical University in Zvolen His research focuses on structural design, engineering calculations, and production technology, with applications in mechanical systems and computer-aided design (CAD/CAE). He teaches courses such as Basics of Machine Constructing , Engineering Calculations in CAE , and Technical Equipment for Fire Protection . Pavel Beňo is actively involved in academic governance as chairman of the Scientific Council (Faculty of Technology) and member of the Rector's Board, University management, and various editorial and disciplinary committees. He supervises graduate projects and doctoral pedagogical activities. Contact: Office F128, KMSD FT, Študentská 26, Zvolen; Tel: +421 455 206 500 Consultation Hours: Tuesday 2:00 PM - 3:00 PM
Diana Carolina Lago is a Researcher at the Department of Glass Processing within the Centre for Functional and Surface Functionalized Glasses (FunGlass) at Alexander Dubček University of Trenčín, Slovakia, focusing on nuclear waste vitrification and functional glass material development. Education: PostDoc (2023) at Centre for Functional and Surface Functionalized Glasses, Alexander Dubček University of Trenčín PostDoc (2022) at Università degli Studi di Padova, Italy PhD in Engineering (2021) from Instituto Balseiro, Argentina Specialist in Nuclear Energy Applications (2008) from Instituto Balseiro BSc in Mining Technology (2007) from Universidad Nacional del Comahue Research Focus: Dr. Lago specializes in vitrification of nuclear waste streams, stabilization of hazardous metals using glass matrices, and additive manufacturing of multifunctional glass-ceramics. Her work integrates materials science with nuclear engineering to develop solutions for radioactive waste management and environmental remediation through advanced glass technologies. Publication Trends: Recent publications (2022-2023) demonstrate expertise in yttrium aluminosilicate glass systems for high-level waste immobilization, cesium adsorption mechanisms, and 3D-printed glass scaffolds. Key innovations include self-heating assessment methodologies and alkali-activated membrane fabrication for metal recovery. Scientific Recognition: IAEA fellowships at Moscow State University and University of Sheffield (2017) Professional Improvement Scholarship from Argentinian National Atomic Energy Commission (2014-2017) PhD Scholarship from CONICET (2009-2014) Scholarships from Brazilian research institutions (2011-2012) Academic Leadership: Dr. Lago co-supervises PhD candidates researching plasma gasification of radioactive waste while contributing to international projects including IAEA ARG9014 on vitrification capacity building and Horizon 2020-funded FunGlass initiatives. She actively participates in workshops on nuclear waste treatment technologies. Research Environment: Based at the Joint Glass Centre (Vitrum Laugaricio – VILA), she collaborates with European partners including Friedrich-Alexander Universität Erlangen-Nürnberg, Friedrich-Schiller-Universität Jena, and Università degli Studi di Padova through the EU Horizon 2020 FunGlass project.
Sergej Chodarev is an Assistant Professor at the Technical University of Košice in the Department of Computer and Information Systems. His office is located in Building Letná 9, Room B513 (B529 by the old numbering), and consultation hours can be scheduled via Calendly at https://calendly.com/sergej-chodarev/office-hours. He teaches courses in Metaprogramming, Functional Programming, User Interfaces and User Experience, and Fundamentals of Software Engineering. His primary research areas include: Domain-specific languages Programming languages Metaprogramming User interfaces Dr. Chodarev's publication record from 2011-2016 demonstrates a consistent research trajectory focused on language engineering, particularly in domain-specific languages and metaprogramming. His work bridges theoretical computer science with practical software engineering applications, often addressing challenges in language composition, syntax definition, and user interface patterns. Many publications explore how to make programming languages more adaptable and user-friendly for specific domains. He is actively involved in research projects including: Applying new principles in the education of IT specialists in the field of formal languages and translators (as Deputy Project Manager) Developing architectural knowledge across the edge-cloud continuum (as a Solver) Dr. Chodarev maintains a scholarly presence through multiple identifiers: ORCID (0000-0002-9293-0859), Scopus Author ID (54583293100), and Web of Science ResearcherID (R-3205-2019). His professional online presence includes a personal blog, GitHub, and Instagram accounts.
Peter Szabó is an Associate Professor at the Department of Aviation Technical Training , Faculty of Aeronautics , Technical University of Košice , Slovakia. He is actively involved in research at the intersection of mathematics, computer algebra, and aerospace engineering. Academic Affiliation: Technical University of Košice, Faculty of Aeronautics, Department of Aviation Technical Training Research Interests include: Mathematical modeling in aviation (Free Route Airspace, complex networks) Linear algebra and numerical methods with MATLAB/SageMath Calculus education and computational techniques Graph theory applications to air traffic systems Recent Article Trends highlight: Integration of calculus and numerical analysis for educational tools (2025) Mathematical axioms for airspace modeling (2022) Cloud computing in aviation research (2022) Linear algebra textbooks and computational exercises (2019) Advising : Mentored students on topics ranging from satellite stabilization to air traffic optimization.
Ivan Kontuľ is a Researcher at Comenius University's Faculty of Mathematics, Physics and Informatics, Department of Nuclear Physics and Biophysics in Bratislava, Slovakia. His work focuses on accelerator mass spectrometry applications in environmental and archaeological contexts. His educational background includes a B.Sc. in Physics (2010-2013), Mgr. in Nuclear and Subnuclear Physics (2013-2015) with thesis on radiocarbon tree ring analysis, and a PhD in Environmental Physics (2015-2019) on accelerator mass spectrometry development for environmental radionuclides. Kontuľ's research centers on accelerator mass spectrometry with specialization in radiocarbon dating of archaeological and geological samples, environmental radiocarbon activity studies, and development of sample preparation methodologies. His work bridges nuclear physics with environmental monitoring through innovative measurement techniques. Current projects involve environmental radionuclide monitoring in Slovakia with the IAEA, lunar meteorite investigations, and international collaborations like LEGEND and SuperNEMO for fundamental physics research. His publication trends show consistent focus on radiocarbon applications across environmental science, archaeology, and nuclear physics, with significant contributions to understanding atmospheric carbon dynamics, nuclear power plant impacts, and wine authentication through isotopic analysis. He participates in major international collaborations including LEGEND (neutrinoless double beta decay research) and SuperNEMO, with visiting research experience at the University of Arizona's AMS Laboratory and Hungary's HEKAL Laboratory. Kontuľ teaches undergraduate and graduate courses including Nuclear and Subnuclear Physics, Practical Exercises in Environmental Radioactivity Monitoring, and Renewable Energy Sources. His field research involves extensive radiocarbon monitoring across Slovakia, including tree ring analysis in clean air regions and urban aerosol studies in Bratislava.
