Slavomír Šimoňák is an Associate Professor at the Technical University of Košice , focusing on theoretical and applied aspects of computer science and discrete systems analysis. Research interests include formal methods for system design, protocol verification, and algorithm visualization. Teaches courses on Assembler programming and reverse engineering, requiring students to use personal notebooks. Contact details: slavomir.simonak@tuke.sk | Office: Letná 9, Room B513 (B529 old numbering).
Professor Martin Bača is affiliated with the Department of Applied Mathematics and Informatics at the Faculty of Mechanical Engineering , Technical University in Košice , Slovakia. His academic role involves advanced research and teaching in graph theory and discrete mathematics. Research Interests: Specializing in graph labelings including vertex irregular total labelings, magic and antimagic labelings, edge-magic labelings, face-magic labelings of type (a,b,c), and harmonious labelings. Key areas: irregularity strengths , modular labelings , doubly resolving sets , and antimagic graphs . Focus on applications in network topology , chemical graph theory , and combinatorial optimization . Recent Article Trends: His 2024-2023 works explore modular irregularity strengths for dense graphs, corona products, and flower graphs, alongside antimagic labelings for digraphs, fullerenes, and generalized prisms. Notable themes include graph evaluation techniques , edge-antimagic total labelings , and vertex-antimagic labelings .
Vladimír Siládi, PhD, serves as Assistant Professor and Head of the Department of Computer Science at Matej Bel University in Banská Bystrica, Slovakia, where he has held academic positions since 1995. His current roles include Project Coordinator for the Virtual University initiative and Registration Authority for SlovakGrid, with prior experience as a part-time Assistant Professor at Slovak University of Technology. Educational Background: PhD in Computer Science, Slovak University of Technology in Bratislava (1997-2007) Master's in Theology, Comenius University in Bratislava (2003-2008) Master's in Secondary Education and Teaching (cum laude) and PaedDr. (EdD), Matej Bel University (1988-1993, 2005) High School Diploma, GMN Banská Štiavnica (1984-1988) His research centers on Grid Computing architectures , parallel processing techniques , and security frameworks for distributed systems . Specialized expertise includes GPU-accelerated algorithms for NP-hard problems, trust models in ad hoc grid environments, and cloud-based educational platforms. His interdisciplinary work bridges computer science with environmental modeling and psychological applications through virtual reality systems. Publication analysis reveals a consistent focus on computational optimization across 12 major works (2006-2014), with recent contributions emphasizing trust intersection models for decentralized grids (2012-2013) and cloud-based educational infrastructure (2013). Earlier works established foundations in GPU-accelerated network topology optimization and genetic algorithms for irregular systems (2006-2010). Scientific Awards: No awards documented in source materials Project leadership includes the Virtual University of Matej Bel University (ITMS 26110230077) coordinating 85 team members across 280 courses, plus TEMPUS-FLACE distance learning development (1998-2000). His registration authority role for SlovakGrid since 2009 supports national research infrastructure. Departmental leadership involves managing the Computer Science team while teaching core courses in algorithms, grid technologies, and GPU programming, maintaining consultation hours for student engagement.
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.
Július Hlaváč serves as an Assistant Professor at the Faculty of Informatics of the Pan-European University. His work integrates theoretical knowledge with practical applications in software engineering, business intelligence, and enterprise IT architecture. Position: Assistant Professor Workplace: Institute of Applied Informatics Phone: +421 2 6820 3685 Email: julius.hlavac@paneurouni.com Hlaváč emphasizes bridging academia and industry through teaching subjects like IT Project Management , Software Engineering , and Enterprise Architecture . He has supervised over 60 diploma theses at the university. His research spans Business Intelligence , Data Mining , and Information Security , focusing on extracting hidden patterns from datasets to support decision-making. Recent publications with Juraj Štefanovič (2020) and collaborators (e.g., Ružický et al., 2020) demonstrate expertise in machine learning, medical data visualization, and enterprise IT systems. Project: GAAA Challenge (Project number: GAAA 12/2018) Laboratory: Think Future Laboratory Miscellaneous achievements: PRINCE2 Foundation certification. Active in university governance as a member of the Academic Senate and representative on the Council of Universities.
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.
Michaela Bačíková is an Assistant Professor at the Faculty of Electrical Engineering and Informatics (FEI) of the Technical University of Košice (TUKE). Her research focuses on Human-Computer Interaction (HCI), domain usability, and domain analysis, with an emphasis on graphical user interfaces (GUIs), domain-specific languages (DSLs), and gesture-driven interaction. She leads the development of the DEAL tool, a domain analysis framework for extracting domain models from software systems. Her teaching includes courses on component-based programming, web technologies, and user interface design. Research Projects: DEAL (Domain Extraction ALgorithm) : A tool for analyzing GUIs to generate DSLs, ontologies, and usability metrics. EU Project: 'Evolving Architectural Knowledge in the Edge-to-Cloud Continuum' (participant). Educational initiatives: Integrating gesture-driven IDEs and social networks for mentoring in programming courses. Research Interests : Automated domain usability evaluation using DEAL. DSL-driven GUI generation and feature modeling. Innovations in teaching software development and user experience design. Grants & Labs : Recipient of FEI TUKE Grant no. FEI-2015-16 for domain usability metrics research. Active in the FEI lab developing DEAL and related tools.
Matej Lorko is an Assistant Professor at the Department of Insurance, Faculty of Economics and Finance, Bratislava University of Economics and Business. He holds a PhD from Macquarie Business School, Sydney. His research focuses on behavioral and experimental economics with emphasis on decision-making processes, project management efficiency, and public policy interventions. Education: PhD in Economics from Macquarie University (Sydney, Australia). Active research areas include behavioral nudges in tax compliance, effectiveness of charitable contributions, and improving project planning accuracy through controlled experiments. He runs the Bratislava Behavioral and Economic Experiences for Research Lab (bee4R LAB) and contributes to the SecureDataLab initiative. Key research programs involve: Economic experiments in project management (2016–2020) Enhancing charitable contribution effectiveness (since 2019) Behavioral tax compliance studies (since 2021) His work combines laboratory experiments with real-world applications, focusing on how cognitive biases affect decision-making in professional and policy contexts. Notable contributions include demonstrating anchoring effects in project duration estimates and developing interventions to improve schedule accuracy. Labs/Teams: bee4R LAB (behavioral economics experiments), SecureDataLab (data-driven policy analysis).
Jana Faixová Chalachanová is an Assistant Professor at the Department of Global Geodesy and Geoinformatics, Faculty of Civil Engineering, Slovak University of Technology in Bratislava. Since 1998, she has contributed to teaching and research in geospatial technologies, CAD systems, and data interoperability. Teaching Subjects: Geoinformatics, GIS in Building Sciences, Spatial Modeling in GIS, CAD Systems in Geodesy, Programming, Web Technologies in GIS Current Research Focus: Geographic Information Systems, spatial modeling of geoobjects, optimization of spatial analyses, and integration of heterogeneous geospatial data Her research spans applications in archaeology, solar radiation modeling, and environmental protection, leveraging LiDAR data and fuzzy logic frameworks. She has participated in multiple VEGA and APVV projects as a researcher and project leader. Scientific grants and projects she has participated in include: VEGA 1/0300/19 - 3D solar radiation modeling on tree vegetation APVV-0249-07 - Prediction of archaeological sites (project leader) VEGA 1/1035/04 - Standardization of geographic information (project leader) VEGA 1/5062/1998 - Geoinformation model of agricultural regions
Dominik Hlinka is an Assistant Professor at the Department of Painting, Academy of Fine Arts and Design in Bratislava. Working between Bratislava and Hontianske Tesáre, Slovakia, he explores intersections of painting, digital media, and conceptual frameworks through solo exhibitions across Central Europe. Education: Doctorate (2015-2021), MFA/BFA (2008-2014) from AFAD Bratislava, and exchange studies (2011-2012) at HEAD Genéve. His research focuses on contemporary painting's evolution through digital contexts, memory representation, and rural/industrial narratives. Works like Science-rural fiction (2024) and The TimeLord (2024) blend scientific metaphors with traditional media, while projects like FISSION (2023) examine structural breakdowns. Recent exhibitions reveal trends in technological memory systems and existential spatial exploration. Notable projects include AUTOCALYPSE (2021) addressing personal digital collapse and REFLECTION - REFRACTION - DIFFRACTION (2021) visualizing physics concepts. Scientific Awards : Scholarship of the Novum Foundation (2017, 2015) Rector's Award - Diploma Project (2014) Jury's Selection at XI. Triennal of Aquarelle (2013) As a member of INSTITUT INSTITUT, Hlinka's work spans oil/paraffin canvases, robotic installations, and algorithmic collaborations. His teaching involves foundational painting techniques and experimental studio practices.
Michal Staš is a Lecturer at the Technical University of Košice, Slovakia. His current contact information includes the email michal.stas@tuke.sk and office N32 619. He teaches courses in Linear and Quadratic Programming , Computer Modeling , and Mathematics II . His research focuses on Graph Theory , particularly on problems related to crossing numbers , cyclic permutations , and join graph operations . His recent publications (2020–2022) analyze crossing numbers of graphs combining wheels, paths, cycles, and discrete graphs, using techniques like cyclic permutations. Keywords from his work include Graph Theory , Combinatorics , Discrete Mathematics , and Computational Geometry .
Stanislav Szabo is a Professor in the Department of Commercial Entrepreneurship at the Faculty of Business Economics with seat in Košice, University of Economics in Bratislava. He maintains a workplace in Michalovce and possesses an extensive academic background with qualifications including PhD, MBA, and LL.M, along with honorary distinctions Dr.h.c. and prof.h.c. Position: Professor Department: Department of Commercial Entrepreneurship Workplace: Michalovce Contact: Phone 056/6443290 Professor Szabo's research spans multiple domains of business economics with particular emphasis on air transport economics, financial analysis methodologies, and performance measurement systems. His scholarly work demonstrates expertise in applying analytical frameworks to practical business challenges across transportation, healthcare, and corporate management sectors. His recent publications reveal a strategic research trajectory focused on transportation economics, particularly in aviation, with significant contributions to understanding operational efficiency in aircraft ground handling, pandemic response in air transport systems, and optimization of flight route economics. His work also extends to healthcare management, where he examines staff motivation and efficiency measurement in medical facilities. Teaching activities include: Managing human resources, Communication and Management, Distribution management, and Project management His scholarly output shows consistent productivity from 2004 through 2022 He frequently collaborates with researchers like GAVUROVÁ, B. on performance measurement systems Professor Szabo's research bridges theoretical frameworks with practical applications, particularly evident in his work on airport operations, airline economics, and crisis management in transportation systems. His publications in journals such as Aerospace, Sustainability, and Journal of Applied Economic Sciences demonstrate international scholarly impact in his specialized fields.
Pavol Lipták is a PhD. student at the Department of Marketing, Faculty of Commerce, University of Economics in Bratislava . His work focuses on Category Management , Distribution in Marketing , and AI applications in business . Education: Pursuing doctoral studies since 2023; Master's in Marketing and Trade Management (2022); Bachelor's in Business in Trade (2020). Research Interests: Category Management, AI-driven retail strategies, and post-crisis business adaptation. Grant Involvement: Co-researcher in projects on AI challenges in marketing and linguistics, and distribution management during crises. Conference Participation: Active presenter at ICISAS 2025, Innovations 2024, and ISCDS 2024; member of organizing teams for CEECBE 2024 and faculty anniversary events. Teaching & Outreach: Tutor for MiniErasmus; promoter at university fairs and roadshows. Key Publications: Analyzed AI profitability in category management, post-pandemic retail strategies, and multilingual pricing effects.
Marek Káčer is an Assistant Professor at the Department of Finance within the Faculty of Economics and Finance at Bratislava University of Economics and Business. His research focuses on financial risk management, corporate finance, econometrics, and sovereign credit risk modeling. His notable research interests include SME failure prediction using machine learning, audit fee dynamics of Big 4 auditors, and sovereign credit rating analysis for emerging economies. He has collaborated with institutions like the SecureDataLab and contributed to projects on creative capacity measurement and regional development. Key contributions include studies on Slovak SMEs' financial distress prediction, gender diversity in private firms, and the equity gap in knowledge-based enterprises. His work blends quantitative methods with real-world applications in transition economies and innovation financing. Teaching responsibilities include courses like Foundations of Financial Econometrics and Risk Analysis in Finance. He maintains active international collaborations and publishes in journals such as Journal of Business Finance and Accounting and Journal of Corporate Finance .
Daniel Krošlák is an Associate Professor at the Institute of Theory and History of State and Law and Social Science Disciplines within the Faculty of Law at Paneuropean University. He teaches Theory of Law, Political Philosophy, Legal Ethics, and Politics , integrating historical and philosophical perspectives into legal education. Research Focus : Krošlák’s work examines legal theory, constitutional frameworks, and the intersection of culture with legal systems. His publications analyze topics such as the German rule of law’s historical evolution, Nuremberg Trials jurisprudence, and digital privacy rights under EU law. Scientific Contributions : Received VEGA and KEGA certificates for project completions Authored 12 key publications between 2009-2021 Contributed to international legal encyclopaedias Teaching & International Engagement : Previously taught at Comenius University, Trnava University, and Cyril and Methodius University. Undertook guest researcher roles at the University of Southern California (2017), Omsk State University (2014-2015), and Universidad Nacional de Colombia (2013).
