جست‌وجوی استاد و پژوهشگر

Eva Rakovskáمشاهده پروفایل

استادیار

• Knowledge Management
• Artificial Intelligence
• Expert Systems
• +۳ مورد دیگر

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 .

Karol Szomolányiمشاهده پروفایل

دانشیار

• Econometrics
• Macroeconomics
• Economic Modeling
• +۵ مورد دیگر

Karol Szomolányi is an Associate Professor in the Department of Operations Research and Econometrics at the Faculty of Economic Informatics, University of Economics in Bratislava. He has been a university teacher at the institution since 1999, following his engineering role in the same faculty from 1994-1999. His academic career spans over two decades at this institution, where he has established himself as a prominent researcher and educator in econometrics and macroeconomics. Dr. Szomolányi's research focuses on econometric modeling, price analysis, and macroeconomic dynamics. His work particularly examines asymmetric price adjustments in energy markets, business cycles in post-communist European countries, and the impact of trade terms on Central European economies. He has made significant contributions to understanding the Slovak economy's response to external shocks and monetary interventions. His scholarly output includes several monographs, textbooks, and numerous peer-reviewed articles in reputable journals. Notably, he has co-authored the book "Bayesovská ekonometria" (Bayesian Econometrics) and multiple introductory econometrics textbooks featuring various software platforms including R, EViews, and Gretl. His research demonstrates a consistent focus on applying econometric methods to real-world economic problems, particularly in the Central European context. Dr. Szomolányi has been actively involved in numerous research grant projects, both as principal investigator and co-investigator. Currently, he leads two major projects: VEGA 1/0052/24 on estimating key structural parameters of contemporary macroeconomic models (2024-2026), and KEGA 026EU-4/2024 on creating an interactive web-based book for quantitative economic analysis (2024-2026). His previous projects have examined pandemic impacts on EU economies, short-term and long-term dynamics of European post-communist countries, and economic policy coherence in Europe. As an educator, Dr. Szomolányi teaches courses across all three levels of study. At the bachelor's level, he teaches Economic Analysis I & II and Management Science II. For master's students, his courses include Quantitative Economics I & II and Applied Macroeconometrics. At the doctoral level, he offers Quantitative Macroeconomics and Macroeconometrics. Dr. Szomolányi has supervised doctoral students, including Michaela Blaško (2015-2018) whose dissertation focused on European economic convergence processes with emphasis on Slovak economy dynamics. His teaching and research activities demonstrate a strong commitment to advancing econometric methods and their application to contemporary economic issues in Central Europe.

KOŠŤÁL, Igorمشاهده پروفایل

استادیار

• Distributed Technologies
• Parallelization of Desktop and Distributed Applications
• .NET Remoting
• +۳ مورد دیگر

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 Procházkaمشاهده پروفایل

استادیار

• Internet of Things (IoT)
• UX Design
• Multimedia Applications
• +۳ مورد دیگر

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.

Sergej Chodarevمشاهده پروفایل

استادیار

• Domain-specific languages
• Programming languages
• Metaprogramming
• +۱ مورد دیگر

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 Szabóمشاهده پروفایل

دانشیار

• Mathematics
• Linear Algebra
• Computer Algebra
• +۵ مورد دیگر

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.

Radim Hladíkمشاهده پروفایل

پژوهشگر

• Quantitative Science Studies
• Digital Humanities
• Text Analytics
• +۹ مورد دیگر

Radim Hladík is a Researcher at the Centre for Science, Technology, and Society Studies within the Institute of Philosophy of the Czech Academy of Sciences in Prague. He serves as the coordinator of the LINDAT/CLARIAH-CZ working group , an editor of the Theory of Science journal , and the chair of the Czech Association for Digital Humanities . PhD in Sociology (Charles University, 2011) MA in Media Studies (Charles University, 2006) Fulbright Student Fellow (Columbia University, 2009–2010) JSPS Postdoctoral Fellow (National Institute of Informatics, 2017–2019) His research focuses on quantitative science studies , text analytics , digital humanities , and scholarly communication , with a particular interest in how science funding and open science principles shape research practices. He develops open-source software Requal for qualitative data analysis and advocates for computational methods in social sciences. The recent publications highlight his work in topic modeling , scientometric analysis , and reproducibility frameworks . He also organizes workshops on enhancing qualitative analysis reproducibility and contributes to software development for academic research. Scientific Awards : Fulbright Student Fellow (2009–2010) JSPS Postdoctoral Fellow (2017–2019) Hladík has previously held roles as scientific secretary at IP CAS and executive editor of the Theory of Science journal. He has taught at Charles University , Film and TV School of Academy of Performing Arts , Czech Technical University , and University of Finance and Administration , covering topics like post-socialism , collective memory , and social media studies .

Zsolt Simonkaمشاهده پروفایل

دانشیار

• Applications of mathematical methods in economics
• Pension and health insurance
• Financial mathematics
• +۳ مورد دیگر

Zsolt Simonka is an Associate Professor at the Department of Mathematics and Actuarial Science, Faculty of Economic Informatics, University of Economics in Bratislava. His work spans theoretical and applied mathematics in economic contexts, with a focus on pension systems, health insurance, and financial mathematics. Education: Mgr. (1997), PaedDr. (2000), PhD (2006) from Comenius University in Bratislava Academic roles: Assistant (1997–1999), Research Assistant (2000–2021), Associate Professor (2022–) His research integrates mathematical modeling with insurance frameworks, particularly in non-life insurance optimization and differential equations for health insurance applications. He has contributed to STEAM education through computer-aided teaching tools and innovative pedagogical methods. Recent publications in high-impact journals like Sustainability and Mathematics highlight his work on computer tools for education and reinsurance chain optimization. He has participated in VEGA and KEGA projects, focusing on financial risk and educational sustainability. While no specific scientific awards are listed, Simonka actively reviews for MDPI journals (Mathematics, Sustainability) and contributes to academic discourse through monographs and textbooks.

František Slaninkaمشاهده پروفایل

استادیار

• Actuarial Science
• Financial Mathematics
• Risk Analysis
• +۳ مورد دیگر

František Slaninka is an Assistant Professor at the Department of Mathematics and Actuarial Science within the Faculty of Economics and Finance at the University of Economics in Bratislava. PhD (2014) and Mgr. (2000) from Comenius University in Bratislava His research focuses on actuarial mathematics , non-life insurance , and software applications in actuarial science , particularly using ModelRisk for risk modeling. He teaches core mathematics courses including Mathematics I/II , Probability Theory , and Financial Mathematics . Recent publications analyze risk optimization in reinsurance programs and software-based quantitative risk modeling. His academic activities include collaboration on grant projects and participation in international conferences like Managing and Modelling of Financial Risks.

Jaroslav KULTANمشاهده پروفایل

دانشیار

• Database Systems
• Distance Learning
• Educational Technology
• +۳ مورد دیگر

Jaroslav KULTAN serves as an Associate Professor and Deputy Head of the Department of Applied Informatics at the Faculty of Economic Informatics, University of Economics in Bratislava. His office is located in Room E8.27, and his contact email is jaroslav.kultan@euba.sk. Consultation hours are held on Wednesdays (13:00-14:30) and Thursdays (11:00-12:30). He holds a degree from Štátna technická univerzita Ukrajiny (KPI) (1979-1985). Prior to joining academia in 2004, he held positions including Deputy Director at Gymnázium F.G.Lorcu (1996-2004) and roles in technical and energy sectors. KULTAN's research spans two primary domains: Information Technology in Education : Focused on database systems, e-learning methodologies (LMS Moodle), distance learning frameworks, video conferencing applications, adaptive feedback systems, and IT infrastructure for educational quality enhancement. Energy Informatics : Involving energy modeling for buildings, econometric analysis of renewable energy adoption, smart grid technologies, efficiency optimization, and interactive tools for energy education. His publication record (2004-2022) demonstrates consistent focus on: Pedagogical innovations using IT (e-learning frameworks, feedback systems, STEM education tools) Energy systems modeling and sustainable technology integration Cross-disciplinary applications of econometrics and linguistic modeling in operations management Publications frequently appear in international conference proceedings and edited volumes, with collaborations across Slovakia, Russia, and Central Asia. No scientific awards or prizes are documented in the provided text. While no specific students or grants are listed, KULTAN has co-organized international student conferences (e.g., Informačné technológie v ekonomike a vzdelávaní ) and contributed to projects like APVV-0280-10 and VEGA 1/0351/17. His role includes administrative leadership as Deputy Head of Department.

• Fuzzy Logic
• Data Mining
• Information Systems Design
• +۲ مورد دیگر

Dr. Miroslav Hudec is an Associate Professor at the Department of Applied Informatics , Faculty of Economic Informatics , University of Economics in Bratislava . He serves as Deputy Head of the Department and has been affiliated since 2013, following his role at the Institute of Informatics and Statistics (INFOSTAT) until 2013. PhD in Informatics, University of Belgrade, 2010 Master's in Operational Research, University of Belgrade, 2005 BSc in Informatics, University of Belgrade, 1996 Hudec's research focuses on fuzzy logic , data mining , linguistic summaries , and statistical information systems . His work bridges computational intelligence with practical applications in business intelligence, survey analysis, and decision support systems. He explores asymmetric conjunctions, aggregation functions, and ordinal sums for interpretable machine learning and adaptive classification. His 15 most recent publications (2016–2022) span journals and conferences like Expert Systems with Applications , Knowledge-Based Systems , and BALCOR . Key themes include fuzzy querying , conformance measures , financial literacy analysis , and explainable AI . Collaborations with Radko Mesiar, Erika Mináriková, and Miljan Vučetić highlight his interdisciplinary approach. Hudec contributes to projects such as VEGA 1/0849/15 and KEGA 025EU-4/2021 , focusing on fuzzy data modeling and educational materials. He has no listed scientific awards but actively participates in academic conferences (e.g., FSTA 2022, IPMU 2022) and serves in the EUSFLAT working group on soft computing in databases.

Martin Mišútمشاهده پروفایل

دانشیار

• E-learning
• Information Technology in Education
• Software Engineering
• +۷ مورد دیگر

Martin Mišút is an Associate Professor at the Department of Applied Informatics, Faculty of Economic Informatics, University of Economics in Bratislava. His work focuses on academic research, teaching, and leadership as the chair of the Academic Senate. Role: Associate Professor, Academic Senate Chair Institution: University of Economics in Bratislava Department: Department of Applied Informatics Research interests span E-learning , Information Technology in Education , Software Engineering , and Big Data . Key projects include improving education quality via Kirkpatrick's model, analyzing ICT implementation in engineering education, and exploring datafication for business decision-making. Recent Trends: Development of MS Teams/G-Meet teaching models, big data ecosystems, and project-based learning frameworks. Publications: 15+ articles from 2013–2022, including 1 monograph. Collaborations include Mária Mišútová (co-author on 10+ publications) and Katarína Pribilová. Grants involve VEGA 1/0373/18, KEGA 009STU-4/2018, and EU OPV-2010/1.2/02-SORO.

Martin Kuchtaمشاهده پروفایل

استادیار

• Digital Marketing
• Marketing Management
• Consumer Behavior
• +۵ مورد دیگر

Martin Kuchta is an Assistant Professor at the Department of Marketing, Faculty of Economics and Finance, Bratislava University of Economics and Business. His research focuses on digital marketing, consumer behavior, and machine learning applications in marketing. University: Bratislava University of Economics and Business Department: Department of Marketing Research Interests: Digital marketing, influencer marketing, programmatic buying, and data-driven marketing strategies. His work explores the intersection of technology, consumer behavior, and advertising effectiveness. Recent Publications: Analyze shopper marketing dynamics (2022), podcast evolution (2021), ad blocker impacts (2018), and machine learning adoption in digital marketing (2019). Projects: Principal investigator for PMVP I-17-106-00 on programmatic buying challenges, and contributor to VEGA and KEGA grants related to influencer marketing and digital education.

• Type Theory
• Programming Language Semantics
• Formal Proofs
• +۲ مورد دیگر

Ján Perháč is an Assistant Professor at the Faculty of Electrical Engineering and Informatics, Technical University of Košice. He teaches core courses including Database Systems, Logic for Informaticians, and Type Theory, while leading laboratory sessions on programming semantics and formal methods. His office is located at Letná 9 (Building B525), with consultations available by appointment. Research Focus: Dr. Perháč specializes in computational logic and formal methods, with emphasis on: Development of educational tools for teaching formal proofs and programming semantics Applications of non-traditional logical systems in computer science Type theory implementations and semantic modeling of programming languages Web-based interactive systems for logic visualization and automated theorem proving Publication Analysis: His recent articles (2022-2025) demonstrate strong focus on creating pedagogical tools for formal logic education, with multiple web-based proof assistants and visualization platforms. Secondary themes include advancements in intensional logic systems and programming language semantics, with occasional interdisciplinary work in environmental modeling and geoinformatics. Awards & Recognition: Best Presentation Award at SCYR 2019 Doctoral Conference (IT Section) Research Leadership: Principal Investigator for: European Research Network on Formal Proofs Modern Approaches in IT Education: Type Theory Participant in projects including compiler education innovations and edge-to-cloud computing architectures. Serves on program committees for IEEE Informatics conferences and the Modeling, Control and Information Technologies symposium.

• Digital Image Processing
• Signal Processing
• Soft Computing
• +۵ مورد دیگر

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.