جست‌وجوی استاد و پژوهشگر

• English Language Didactics
• Common European Framework of Reference for Languages
• Communicative Testing
• +۳ مورد دیگر

Jana Bérešová is an Associate Professor at the Department of English Language and Literature, Faculty of Education, Technical University in Trnava. With over three decades of academic experience since 1982, she specializes in English language didactics, communicative testing, and the implementation of the Common European Framework of Reference for Languages (CEFR) in educational contexts across Slovakia and Europe. Her educational background includes: PhDr. in Interpreting and Translation (English and Arabic) from Comenius University, Bratislava (1982) Additional studies in General Education Teaching at Comenius University (1985) PhD in Physics and Mathematics from Technical University of Trnava (1999) PhD in Philosophy from Comenius University, Bratislava (2002) Habilitation procedure completed in 2005, earning the title of Associate Professor Bérešová's research focuses on English language didactics, with particular emphasis on communicative testing methodologies aligned with CEFR standards, intercultural communicative competence development, and contemporary approaches to English language teaching. Her work bridges theoretical frameworks with practical classroom applications, examining how language assessment can better reflect authentic communication needs while promoting cultural awareness among learners. Her recent publication trends (2023-2025) reveal a strong focus on CEFR implementation, teacher education, and language assessment. She has extensively researched how the CEFR self-assessment grid functions in teacher training contexts, investigated plurilingual approaches to language teaching, and examined written performances across proficiency levels. Her work increasingly addresses the role of technology in language education, including AI applications for writing improvement and innovative assessment methodologies. Jana Bérešová has mentored five doctoral students, with three currently under her supervision. Her academic guidance emphasizes reflective practice, alignment with international language frameworks, and practical applications of language teaching methodologies. She has been instrumental in developing teacher training programs focused on CEFR implementation across Slovak educational institutions and has participated in numerous European Council initiatives related to language education.

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.

• Neural Networks
• Deep Learning
• Biomedical Signal Analysis
• +۴ مورد دیگر

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

Soňa Chovanová Supekováمشاهده پروفایل

استاد

• Marketing Communication
• Digital Marketing
• Corporate Social Responsibility (CSR)
• +۵ مورد دیگر

Assoc. Prof. Soňa Chovanová Supeková is a Professor and Vice-Dean for Science and Research at the Faculty of Mass Media, Pan-European University. With over 20 years of experience, her work spans Marketing Communication Digital Marketing Corporate Social Responsibility (CSR) Small and Medium Enterprises (SMEs) She teaches subjects including International Marketing, Strategic Media Marketing, and Social Marketing. Her research focuses on Online marketing environments Intercultural communication Digital transformation She has published extensively on CSR integration, social media strategies, and innovation in SMEs, with notable trends in post-pandemic adaptation and AI applications. Key publications include analyses of CSR modeling Mobile app logistics Generational social media perceptions Her work has been cited 199 times globally, with 104 entries in WoS/SCOPUS.

• Fuzzy Sets
• Intuitionistic Fuzzy Sets
• Data Analysis
• +۶ مورد دیگر

Alžbeta Michalíková serves as Associate Professor at Matej Bel University's Faculty of Arts, Department of Computer Science. Her academic profile spans mathematical foundations and applied computational research with significant contributions to fuzzy logic systems. Her research focuses on Fuzzy Sets and Intuitionistic Fuzzy Sets with applications in Computer Vision, Biology, and Medicine. She investigates mathematical properties of these structures and explores integrations with Neural Networks and Evolutionary Algorithms. Recent work emphasizes smart city applications, air quality analysis, and digital education tools. Her publication trends show evolution from theoretical fuzzy mathematics (2005-2015) to applied AI systems (2020-present), particularly in environmental monitoring and transportation systems. Key themes include uncertainty modeling, image classification, and real-time data processing for urban applications. Erasmus+ KA2 projects on air pollution technologies (2022-2024) KEGA projects for digital educational tools (2020-2025) VEGA research on fuzzy models (2011-2017) APVV projects on scientific outreach She teaches Mathematics for Computer Scientists, Numerical Methods, and specialized Fuzzy Sets courses. Her technical infrastructure includes ORCID (0000-0002-0568-9279), SCOPUS (24448471500), and ResearchGate profiles. Current work focuses on digital identification keys for mycology education and AI-driven smart city analytics.

Soňa Ferenčíkováمشاهده پروفایل

استاد

• International Business
• Foreign Direct Investment
• Business Management
• +۵ مورد دیگر

Soňa Ferenčíková is a Full Professor at the Department of International Trade, Faculty of Commerce, University of Economics in Bratislava, Slovakia. With a career spanning over three decades in academia, she has established herself as a leading expert in international business, foreign direct investment, and business management in Central and Eastern Europe. Her work bridges theoretical frameworks with practical applications in the context of transitional economies. Her research interests focus on several key areas: International Business and FDI in Central and Eastern Europe Knowledge transfer and reverse knowledge flows in multinational corporations Business center development in emerging markets Career development and workforce aging Ethics in international business Human resource management in foreign-invested companies Professor Ferenčíková's recent publications demonstrate a strong trend toward examining the evolving dynamics of international business in Central and Eastern Europe, with particular attention to knowledge transfer mechanisms from subsidiaries to headquarters (reverse knowledge transfer), the impact of digital transformation on business centers, and cross-cultural career development patterns. Her work increasingly integrates technological change (Industry 4.0, AI) with traditional international business frameworks, reflecting the evolving nature of global business operations in the post-pandemic era. Professor Ferenčíková has secured and led multiple significant research projects: Cross-Cultural Collaboration on Contemporary Careers (5C) (2012-2023) - Serving as the main researcher for Slovakia in this global collaboration involving 38 universities worldwide GLOBE 2020 (2019-2025) - Acting as Co-Country Investigator for Slovakia in this study involving 148 universities globally Effects of Industry 4.0 on FDI in the Visegrad countries (2019-2020) - Leading the Slovak component of this International Visegrad Fund project Rast inovatívnosti a konkurencieschopnosti SR pre zahraničných investorov (2022-2024) - Principal investigator for this VEGA-funded project examining innovation in the post-COVID deglobalization phase Her teaching portfolio includes key courses such as International Business Strategy and International Marketing, where she integrates her extensive research experience with practical business applications. Professor Ferenčíková has supervised numerous students and contributes significantly to the academic community through her editorial work and participation in international research networks.

• Generative AI
• Optimization
• UAVs
• +۲ مورد دیگر

Marek Ružička serves as an Assistant Professor at the Technical University of Košice (TUKE), where he teaches Stochastic Modeling and Data Analysis (SMaAD) and Modeling and Prototyping Systems (MaPS) across multiple laboratory sessions and lectures in buildings PK6, L9, and N9. His research spans Generative AI, Optimization, UAVs, 5G telecommunications, and Physical neural networks, with applications in engineering and data science. His research program emphasizes generative models for solving complex physical and engineering problems, particularly using GANs for data synthesis, trajectory correction, and system optimization. He bridges theoretical AI with practical implementations in UAV networks, aerodynamics simulation, and telecommunications infrastructure, demonstrating strong interdisciplinary connections between machine learning and physical systems. Analysis of his 2019-2024 publications reveals consistent focus on generative adversarial networks applied to UAV-based network optimization, physical system modeling (mass-spring systems, car aerodynamics), and data augmentation for mobility datasets. His work shows evolving specialization in deep learning integration with telecommunications (5G) and physical neural networks, with increasing emphasis on real-time optimization and energy efficiency. Scientific Awards: No scientific awards were mentioned in the provided text. Advising and Grants: The source material contains no information regarding graduate students, research grants, or funded projects.

• Electronic Literature
• Digital Art
• Artificial Intelligence in Creativity
• +۳ مورد دیگر

Assoc. Prof. Zuzana Panák Husárová is an Associate Professor in the Department of Digital Arts at the Academy of Fine Arts and Design in Bratislava. Her research focuses on electronic literature, artificial intelligence in creativity, and the cultural impact of digital media. She teaches courses such as Fine Art in the Cultural Context and Image Analysis in Digital Art. Her work explores intersections between technology and literature, including AI-generated content, neural networks, and postmodern literary trends. She has published extensively on topics like synthetic textual media, metamodernism in Czech poetry, and the role of digital platforms in contemporary art. Husárová maintains an active online presence through her personal website husarova.net and social media. Her research often bridges theoretical discourse with practical applications in digital art and education.

• Artificial Intelligence
• Wireless Communications
• Cognitive Radio Networks
• +۴ مورد دیگر

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.

Marian Machمشاهده پروفایل

دانشیار

• Symbolic Artificial Intelligence
• Evolutionary Computation
• Ontological Engineering
• +۵ مورد دیگر

Marian Mach is an Associate Professor at the Department of Cybernetics and Artificial Intelligence, Technical University of Kosice. He holds a Ph.D. (1992) and habilitation in Artificial Intelligence (2001). His research focuses on symbolic AI, evolutionary computation, knowledge modeling, and ontological engineering. He has led national and EU projects like Modermed (2023-2027) and DL4VISION (2022-2025), addressing toxic behavior detection and deep learning for image processing. Education: Ph.D. in Technical Cybernetics (1992), TU Kosice Habilitation in AI (2001), TU Kosice M.S. in Technical Cybernetics (1985), TU Kosice Research Interests: Evolutionary algorithms Constraint satisfaction problems Knowledge representation Machine learning applications in social media analysis Robotics and intelligent systems Teaching: Courses include Machine Learning II, Evolutionary Algorithms, and Application of Logic in Intelligent Systems. He has developed over 20 courses since 1987. Grants & Projects: EU-funded initiatives: VICINITY (2016-2019), PICASO (2016-2019) National grants: APVV-22-0414 (2023-2027), VEGA 1/0394/22 (2022-2025) Labs/Teams: Involved in AI Center at TU Kosice and collaborative projects on cloud-based robotics and semantic web technologies.

• Biomedical Informatics
• Neural Networks
• Speech Processing
• +۳ مورد دیگر

Hireš Máté is an Assistant Professor at the Technical University of Košice. He specializes in Biomedical Informatics, Neural Networks, Speech Processing, and Biomedical Signal Processing. His teaching responsibilities include laboratory exercises for courses like Principles of Computer Engineering (PPI) and Computer Engineering and Secure Hardware (PIaZH), conducted in locations such as PK6_S03 and PK6_S09. His research focuses on applying machine learning and neural networks to medical diagnostics, particularly in detecting neurological conditions like Parkinson's disease through voice and handwriting analysis. He explores speech processing for hepatic encephalopathy diagnosis and handwriting dynamics for dysgraphia evaluation. His work bridges computational methods with clinical applications, emphasizing inter-dataset generalization and robust algorithm design. No scientific awards or funded grants are explicitly listed in the provided information. His academic contributions are primarily reflected in peer-reviewed publications and teaching activities. He advises no formally listed students, though his courses involve student laboratory work. His research projects are concentrated in biomedical signal analysis and AI-driven healthcare solutions.

• Computer Science
• Artificial Intelligence
• Blockchain Technology
• +۴ مورد دیگر

Ing. Marcel Vološin PhD is an Assistant Professor at the Technical University of Košice (TUKE), actively engaged in teaching and research related to database systems, blockchain technology, and wireless network optimization. His academic activities include laboratory exercises in Database Systems and their Security (DBSZ) at TUKE's Faculty of Electrical Engineering and Informatics, as indicated by room assignments and course schedules. Research Focus: Blockchain integration in 5G/6G mobile networks, autonomous vehicle systems, and AI-driven network coverage optimization Email: marcel.volosin@tuke.sk Marcel's publications highlight his expertise in blockchain technology for network security, generative adversarial networks for mobility data correction, and agent-based modeling for socioeconomic systems analysis. His work addresses challenges in real-time spectrum markets, dynamic network topology design, and decentralized resource allocation. Scientific Awards: No specific honors or fellowships mentioned in available sources.

• Deep learning
• Physics
• Large language models
• +۲ مورد دیگر

Ing. Eugen Šlapak, PhD., is a researcher at the Intelligent Information Systems Laboratory (IISLAB) of the Technical University of Košice, Slovakia, where he has worked since 2017. His research focuses on machine learning applications for cellular wireless networks modeled as multi-agent systems, with emphasis on 5G/6G optimization and autonomous vehicle communications. Education: BSc in Informatics, Technical University of Košice (2016) MSc in Informatics, Technical University of Košice (2018) Dr. Šlapak's research integrates Deep Learning , Physics-based modeling , and Large Language Models to solve wireless network challenges. His work on HetNets, UAV-assisted communications, and blockchain-enabled resource allocation demonstrates expertise in applying unsupervised learning and evolutionary algorithms to coverage optimization, radio resource management, and network topology design for next-generation mobile systems. His 13 publications (2017-2023) reveal consistent focus on machine learning-driven wireless innovations, with increasing emphasis on deep learning for 5G/6G management and blockchain applications in vehicular networks. Key trends include UAV swarm coordination, HetNet spatial optimization via clustering algorithms, and multi-agent resource allocation frameworks addressing computational and radio resource constraints. Scientific Awards: No awards documented in source material Dr. Šlapak collaborates extensively with Assoc. Prof. Juraj Gazda and international researchers on EU-funded telecommunications projects. His laboratory work centers on developing self-organizing network frameworks through the Intelligent Information Systems Laboratory (IISLAB). As a core IISLAB researcher, he contributes to experimental validation of AI-driven network solutions using agent-based modeling and real-world wireless testbeds, with recent work focusing on autonomous vehicle communication stacks and UAV-based mobile network deployment.

• Handwriting Analysis
• Speech Processing
• Bankruptcy Prediction
• +۲ مورد دیگر

Peter Drotár is an Associate Professor at the Technical University of Kosice's Department of Computers and Informatics. His research intersects AI, healthcare, and financial analytics. Core research areas include: 1) Medical AI for Parkinson's detection using voice/handwriting analysis (38% of publications); 2) Financial prediction models for bankruptcy risk (22%); and 3) Medical image synthesis and segmentation (28%). Significant contributions address data imbalance challenges in financial datasets. Recent works showcase innovations in generative models for medical imaging and domain-robust abdominal CT segmentation. Collaborative projects include diabetic foot ulcer image generation and Parkinson's detection across diverse datasets.

Juraj Štefanovičمشاهده پروفایل

دانشیار

• Computer Science
• Artificial Intelligence
• Medical Data Processing
• +۳ مورد دیگر

Juraj Štefanovič is an Associate Professor and Head of the Institute of Applied Informatics at the Pan-European University . He specializes in Modeling and Simulation , Operating Systems , and interdisciplinary applications of AI in medical data processing and education. Teaches Discrete Dynamic Systems , Parallel Programming , and Usability in User Interfaces . Coordinated international research projects ACCREDIT (2017-2019) and EWA (2020-2023). Executive editor of the ITA professional magazine. Manages a Lego Robot Laboratory for secondary/elementary school outreach. Research Trends : Combines AI with medical diagnostics, system modeling, and educational robotics. Recent work focuses on neurodegenerative disease detection and Industry 4.0. Publications : Span textbooks (Operating Systems) and conference papers on simulation, cybernetics, and testing methodologies. Labs & Teams : Organizes the FIRST Lego League regional tournament for Bratislava and Western Slovakia.