جست‌وجوی استاد و پژوهشگر

• Human-Computer Interaction (HCI)
• User Experience (UX)/Usability
• Domain Analysis
• +۳ مورد دیگر

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.

• Formal Languages
• Programming Language Semantics
• Cybersecurity
• +۵ مورد دیگر

William Steingartner is an Associate Professor at the Faculty of Electrical Engineering and Informatics, Technical University of Košice (TUKE). He specializes in formal languages, programming language semantics, cybersecurity, and computer science education. His research focuses on advancing pedagogical tools for teaching formal semantics, compiler design, and secure software development. He actively contributes to academic governance, serving as Principal Investigator on projects like 'Application of new principles in the education of IT specialists' and participating in 'Evolving Architectural Knowledge in the Edge-to-Cloud Continuum.' Dr. Steingartner holds editorial roles, including guest editor for the Central European Journal of Computer Science (since 2011) and editor of proceedings for conferences like INFORMATICS 2019. He has organized major events such as the International Scientific Conference Informatics in 2013, 2015, 2017, and 2019, demonstrating leadership in academic event management. His teaching spans formal languages, logic for computer scientists, and domain-specific language design. Research highlights include developing tools like OnlineProver for formal logic education and RISCAL for semantics visualization. He explores cybersecurity challenges in hybrid threats, API security, and cyber resilience strategies, alongside innovations in VR applications for therapy and education. Key contributions include over 50 publications since 2015, with recent work addressing disinformation campaigns, smart orthosis design, and pedagogical software for programming semantics. He emphasizes interdisciplinary collaboration, bridging theoretical computer science with practical applications in medicine, robotics, and user experience design.

• Software Engineering
• Program Comprehension
• Build Systems
• +۴ مورد دیگر

Matúš Sulír is an Assistant Professor at the Department of Computer Science and Engineering, Faculty of Electrical Engineering and Informatics, Technical University of Košice. He specializes in software engineering, program comprehension, and educational methodologies in programming. He teaches courses like Základy softvérového inžinierstva (Foundations of Software Engineering) and actively contributes to research in software build systems, domain-specific languages, and usability evaluation. His research interests include Java build processes, educational tools for programming, and empirical studies on software quality and testing. He has published extensively on topics such as automated test case identification, voice command APIs, and large-scale software build analysis. His work often integrates empirical methods with practical software development challenges. No awards or advisory roles are listed, and there are no explicitly mentioned research grants or projects. His academic contributions focus on advancing software engineering practices through empirical research and tool development.

• Petri Net Theory
• Modeling and Simulation
• Reactive Systems
• +۳ مورد دیگر

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.

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 .

• Computer Engineering
• Secure Hardware
• Multi-core Processors
• +۴ مورد دیگر

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

• Parallel Programming
• GPU Programming
• Image Processing
• +۵ مورد دیگر

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.

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.

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.

• 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.

• Artificial Intelligence Ethics
• Legal Responsibility
• Conditionals in Normative Discourse
• +۵ مورد دیگر

Daniela Vacek is a researcher at the Department of Logic and the Methodology of Sciences, Faculty of Arts, Comenius University in Bratislava. Her work bridges philosophy, law, and computer science, focusing on ethical and legal challenges in artificial intelligence. She earned her PhD in Philosophy from Comenius University in 2020, following Master's and Bachelor's degrees in Philosophy from the same institution, with a visiting period at the University of York during her doctoral studies. Her research interests include: Artificial Intelligence Ethics and Legal Responsibility Conditionals in Normative Discourse Analytic Aesthetics (Philosophy of Fiction and Poetry) Hyperintensionality and Transparent Intensional Logic Recent publications (2021-2022) address vicarious liability in AI and the semantics of poetry, reflecting an interdisciplinary methodology. She is currently contributing to the APVV research project on conditionals semantics. Daniela is actively involved in research projects but has no listed scientific awards or formal advisees.

• domain-specific languages
• computer language engineering
• software systems architectures
• +۱ مورد دیگر

Professor Jaroslav Porubän serves at the Technical University of Košice within the Faculty of Electrical Engineering and Informatics, specifically the Department of Cybernetics and Artificial Intelligence (KPI), where he holds the academic rank of Professor and acts as Project Coordinator. His research expertise spans: Domain-specific languages Computer language engineering Software systems architectures Modern user interfaces He leads the project Evolving Architectural Knowledge in the Edge-to-Cloud Continuum, investigating architectural knowledge development across distributed computing environments. His teaching responsibilities include Component Programming (KP) lectures and laboratory exercises scheduled Monday through Wednesday, with online sessions via KPI virtual infrastructure.