جستجوی استاد راهنمای دانشگاهی

• Online Reputation Management
• Consumer Behavior
• Sustainable Development
• +۴ مورد دیگر

Vladimír Hojdik serves as an Assistant Professor at the Department of Business Economy within the Faculty of Business Management at the University of Economics in Bratislava, a position he has held since 2019. His academic career is complemented by prior professional experience as an administration assistant for retail clients at Finančné centrum, a.s. from 2015 to 2016. Dr. Hojdik's research spans online reputation management, consumer behavior dynamics, sustainable development, and automotive industry analysis. He investigates cognitive load in consumer decision-making, digital reputation measurement methodologies, and eco-innovation integration in business practices, with particular focus on Slovak market dynamics and Visegrad Group (V4) regional cooperation. His work bridges theoretical frameworks with practical applications in electric mobility infrastructure and sustainable consumption patterns. Analysis of his publications reveals consistent thematic evolution toward temporal aspects of consumer decisions and cross-cultural online reputation assessment, particularly within automotive contexts. His 2024 Innovative Marketing article demonstrates methodological rigor in cognitive load measurement, while his 2020 monograph establishes comprehensive reputation evaluation frameworks applicable to eco-innovation ecosystems. Dr. Hojdik has supervised 12 bachelor's theses and 2 master's theses. He actively contributes to major research initiatives including VEGA 1/0582/22 (cross-sectoral entrepreneurship in cultural industries), VEGA 1/0462/23 (circular economy constraints), and VEGA 1/0708/20 (sustainable consumption determinants), where he examines behavioral drivers of product innovation diffusion and online reputation metrics. His international engagement includes Erasmus+ teaching mobilities at Croatia's University of Split in 2023 and 2024, conference leadership at EDAMBA 2021, and service on the Faculty Competition of Student Research Activity commission since 2021, demonstrating active participation in academic community development and cross-border knowledge exchange.

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.

Juraj Zajoncمشاهده پروفایل

مدرس

• textile culture
• traditional artistic expression
• cultural heritage
• +۳ مورد دیگر

Juraj Zajonc is a researcher at the Institute of Ethnology of the Slovak Academy of Sciences (Ústav etnológie SAV) in Bratislava, Slovakia, specializing in textile culture, traditional artistic expression, and cultural heritage. He holds a PhDr. degree (1989) and CSc. degree (1997), and has been with the institute since 1988. In addition to his research work, he has lectured at the Academy of Fine Arts and Design in Bratislava on textile history and techniques from 1995 to 2015. His educational background includes studies at the Department of Ethnography and Folklore Studies, Faculty of Arts, Comenius University in Bratislava (1983-1987). He is proficient in Russian and German languages. Zajonc's research focuses on textile culture, traditional artistic expression, and cultural heritage, with particular attention to historical textile production techniques, holiday traditions, and the documentation of material culture. His work often involves interdisciplinary approaches combining ethnology, archaeology, and historical research to understand traditional practices and their evolution. His publications reveal a consistent interest in reconstructing historical textile techniques, analyzing holiday rituals, and documenting cultural heritage through both traditional and digital means. He has led and participated in numerous research projects funded by VEGA and other programs, exploring topics such as traditional textile production, holiday rituals, and cultural heritage preservation. His research has significant implications for understanding how traditional knowledge is transmitted and transformed across generations, particularly in Central European contexts. 2014: Prize of the Slovak Ethnological Society for publication (2011-2013) 2013: Literary Fund Prize for scientific literature 2013: Prize of the Slovak Academy of Sciences for science popularization 2001: Literary Fund Prize and Prize of the Slovak Academy of Sciences 1997: International Prize for Ethnological and Anthropological Studies Guiseppe Pitré Zajonc has supervised numerous research projects and has been actively involved in creating electronic databases and encyclopedias documenting traditional folk culture. His work bridges academic research with practical applications in cultural heritage preservation and education, particularly through his contributions to the 'Traditional Folk Culture in Words and Images' electronic encyclopedia. He has also made significant contributions to understanding how traditional knowledge is transmitted and transformed across generations, with particular attention to the material aspects of cultural heritage.

• 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.

Ladislav Véghمشاهده پروفایل

دانشیار

• Computer Science Education
• Educational Technology
• Artificial Intelligence
• +۵ مورد دیگر

Ladislav Végh, PhD., serves as an Associate Professor in the Department of Informatics at the Faculty of Economics and Informatics, J. Selye University in Komárno, Slovakia. With an office in TP3C and contactable via veghl@ujs.sk, he has maintained continuous academic employment at the university since 2005. His academic journey includes university studies in teaching mathematics-informatics at Constantine the Philosopher University in Nitra (1994-1999), examina rigorosa in teaching informatics at J. Selye University (2007-2008), and PhD studies in Basics and Methodology of Informatics at ELTE, Budapest (2009-2018). Végh's research focuses on innovative approaches to computer science education, particularly teaching programming through interactive methods. His primary research interests include teaching programming using animations, machine learning applications in education, and artificial intelligence integration in pedagogical contexts. He has consistently explored how game-based learning and visual representations can enhance students' understanding of complex programming concepts, with particular emphasis on algorithmic thinking and object-oriented programming principles. His publication record demonstrates a clear trajectory from foundational work on algorithm animations for teaching sorting concepts toward increasingly sophisticated applications of machine learning and deep learning in educational contexts. Recent publications show expansion into medical informatics applications, cultural heritage preservation through 3D modeling, and pandemic-era educational adaptations, while maintaining his core focus on programming education methodologies. His work frequently appears in reputable international conferences and journals, with growing citation impact. Electronic support of teaching programming (2008-2010) Terminology in e-learning (2009-2011) Modeling and animation-simulation models in e-learning (2011-2013) Modelling, simulation and animation in education (2014-2016) Interactive animation and simulation models in education (2018-2020) Analysis of natural and mathematical education at high schools (2019-2021) Interactive animation and simulation models for deep learning (2021-2023) Intelligent Animation-Simulation Models for Deep Learning (2024-2026) Végh has secured significant research funding through multiple KEGA and VEGA projects, demonstrating sustained research productivity and relevance. His work bridges theoretical computer science concepts with practical educational applications, particularly focusing on how interactive visualizations and game mechanics can transform programming education. His current projects indicate continued exploration of deep learning applications in educational contexts, suggesting an evolving research agenda that maintains educational technology at its core while expanding into more advanced AI methodologies.

• 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.

• 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.

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.

• Mechanical Engineering
• Robotics
• Industrial Automation
• +۵ مورد دیگر

Prof. Elena Pivarčiová is a Professor and Head of the Department of Production and Automation Technology at the Technical University in Zvolen, Faculty of Technology . She actively contributes to teaching courses such as Academic Year Project , Digital Image Processing , and Informatics for Engineers . Department: Department of Production and Automation Technology Academic Rank: Professor Emails: pivarciova@is.tuzvo.sk , elena.pivarciova@tuzvo.sk Research Interests span robotics, automation, non-destructive testing, and finite element analysis. Her work integrates infrared/terahertz imaging with computational modeling for material diagnostics and develops educational tools for robotics and automation systems. Publication Trends highlight expertise in industrial robotics, non-destructive evaluation, and thermal/mechanical system analysis, with recent collaborations on sensor fusion and simulation techniques. Projects include leadership in KEGA, VEGA, and OP Slovakia initiatives focused on robotics education, composite materials, and Industry 4.0 methodologies. Supervised Theses cover topics like autonomous robot control, thermal analysis, and biometric systems, with students such as Ing. Roman Čierťažský , Ing. Filip Krnáč , and Ing. Marek Slašťan .

Ondrej Takáčمشاهده پروفایل

دانشیار

• Navigation of Mobile Robots
• Image Processing
• Didactics Informatics
• +۲ مورد دیگر

Ondrej Takáč, PhD is an Associate Professor and Head of the Department of Informatics at the Faculty of Economics and Informatics, J. Selye University. He has been actively contributing to academia since 2012, advancing from Senior Lecturer to his current position as Associate Professor in 2023. His leadership extends beyond teaching as he serves in multiple administrative roles including CEEPUS Local Coordinator for Engineering as Communication Language in Europe since 2012, Member of the Faculty Senate since March 2021, and Member of the Quality Assurance Board since November 2021. His educational background includes dual degrees from Slovak University of Agriculture in Nitra: a degree in Agricultural Engineering from the Faculty of Engineering (2008-2012) and Supplementary Pedagogical Studies from the Faculty of Economic (2010-2012). He completed his PhD in Transport Machinery and Equipment at the Technical Faculty of Slovak University of Agriculture (2008-2012). Takáč's research focuses on three primary areas: Navigation of Mobile Robots, Image Processing, and Didactics Informatics. His work bridges theoretical computer science with practical educational applications, particularly through the development of animation-simulation models for educational purposes. His research demonstrates a consistent trajectory toward increasingly sophisticated educational technologies, culminating in current work on intelligent animation-simulation models for deep learning applications. His publication portfolio shows significant productivity with 116 total publications including 56 scientific outputs (28 book chapters and 28 journal articles), 8 professional outputs, and 47 other monitored publications. His work has garnered 189 citations, with 24 appearing in citation indexes, indicating growing international recognition of his contributions to educational technology and informatics. In his administrative capacity, Takáč serves as Study Advisor for the master's degree program Applied Informatics since 2022, and as of 2024, he has joined both the Commission for the Doctoral Study Program in Teaching Theory of Mathematics and Informatics and the Disciplinary Committee for Students at the Faculty of Economics and Informatics. His grant activity centers around KEGA projects focused on educational simulation models, with continuous funding from 2011 through 2024. Takáč leads the Department of Informatics and has been instrumental in developing educational simulation resources. His ongoing research projects suggest a strong commitment to advancing deep learning applications in educational contexts, with the most recent project (014TTU-4/2024) focusing on intelligent animation-simulation models for deep learning environments.

Ferdinand Daňoمشاهده پروفایل

استاد

• Marketing Management
• Distribution Management
• Consumer Behavior
• +۳ مورد دیگر

Ferdinand Daňo is a Professor at the Department of Marketing, Faculty of Commerce, University of Economics Bratislava, and currently serves as the Rector of the university. His academic career spans decades, focusing on marketing and distribution management. University: University of Economics Bratislava School: Faculty of Commerce Department: Department of Marketing Academic Rank: Professor Research Interests: Dr. Daňo specializes in marketing management, distribution strategies, consumer behavior, sustainable business practices, neuromarketing, and business innovation. His work bridges theoretical frameworks with practical applications in logistics and sustainable transport. Article Trends: Recent publications emphasize electromobility, circular economy transitions, consumer neuroscience, pandemic impacts on supply chains, and responsible consumption. Collaborative efforts with European institutions highlight cross-border relevance. Grants & Projects: He leads multiple VEGA grants (e.g., VEGA 1/0046/20, VEGA 1/0354/22) and participated in Horizon 2020 projects (e.g., eMobilita, EDGE). His projects address electromobility, crisis-driven distribution models, and sustainable innovation.

• Corpus linguistics
• Machine translation
• Semantic analysis
• +۷ مورد دیگر

doc. Svitlana Goloshchuk, PhD is a Researcher at the Department of Intercultural Communication within the Faculty of Applied Languages at the University of Economics in Bratislava . She previously held academic roles as Assistant Professor and Associate Professor at Lviv Polytechnic National University (2012-2022), and earlier positions as Instructor at Lviv Polytechnic and Lviv University of Management and Law. Second Degree Higher Education: English Language and Literature , Ivan Franko National University of Lviv (2001) Third Degree Higher Education: Filology (Germanic Languages) , Ivan Franko National University of Lviv (2011) Her research spans corpus linguistics , machine translation , and language technology , with interdisciplinary applications in financial market analysis , sign language recognition , and international relations . Recent work includes LSTM-based translation models, semantic analysis of Ukrainian text, and migration securitization studies. She actively integrates machine learning with linguistic theory across domains. Her scientific output includes 8 Web of Science/Scopus-indexed publications (32 citations) and collaborations with researchers like Victoria Vysotska and Roman Holoshchuk. Projects range from NLP-driven socialization systems to digital pedagogy in online language instruction. While current awards and student supervision details are unspecified, her career reflects a blend of academic rigor and technical innovation.

• Geodesy
• Cartography
• Photogrammetry
• +۴ مورد دیگر

Prof. Ing. Alojz Kopáčik, PhD. is a full-time professor and head of the Department of Surveying (SvF) at Slovak Technical University in Bratislava. His research focuses on geodesy, cartography, and photogrammetry with applications in metrology and construction monitoring. University: Slovak Technical University in Bratislava School: Faculty of Civil Engineering Department: Department of Surveying Email: alojz.kopacik@stuba.sk Research interests: Kopáčik specializes in metrology of geodetic instruments, automated calibration systems, and integration of image processing with interferometric measurements. He also works on point cloud analysis for structural verification and construction quality control. Recent publications (2024) demonstrate expertise in: Development of horizontal comparators for precision calibration Edge detection algorithms for systematic error analysis Building Information Modeling (BIM) integration with point clouds Automated metrology systems using machine vision Non-linearity compensation in length measurements Interferometric techniques for geodetic applications

• Material Science
• Agricultural Engineering
• Physical Properties of Biological Materials
• +۵ مورد دیگر

Ľubomír Kubík serves as an Associate Professor at the Institute of Electrical Engineering, Automation, Informatics and Physics at the Slovak University of Agriculture in Nitra. His academic career spans several decades, with continuous research activity from the 1980s through 2025. He maintains an active research profile with ongoing projects and recent publications. His research focuses on the identification of structural and textural parameters of materials, particularly in agricultural contexts. Kubík's work bridges engineering principles with agricultural applications, examining physical properties of biological materials, mechanical behavior of films and pellets, and developing measurement methodologies. His habilitation thesis addressed the identification of texture and structure in polymers, fuel pellets, and fruits across transport phenomena and mechanical tension fields. Recent publications demonstrate his evolving research interests incorporating modern computational techniques, particularly machine learning applications in material analysis and image processing. His work shows a consistent trajectory from traditional material property measurement toward more sophisticated analytical approaches. Kubík has supervised numerous research projects spanning multiple decades, including VEGA grants, bilateral cooperation projects, and infrastructure development initiatives. His project portfolio demonstrates expertise in osmotic drying technology, fractal analysis of agricultural materials, and physical property measurement systems. He maintains active research collaborations across various institutions and has served as principal investigator for multiple international projects, including Erasmus+ capacity building initiatives focused on agricultural engineering internationalization.