Find Academic Supervisors

Maarten CoëgnartsView profile

Assistant Professor

• Cognitive Film Studies
• Embodied Cognition
• Film Aesthetics
• +4 more

Maarten Coëgnarts is an Assistant Professor in Film Studies at the University of Antwerp and a Fellow of the Society of the Cognitive Studies of the Moving Image (SCSMI) . His research focuses on embodied cognition , conceptual metaphor theory , and non-verbal meaning-making in cinema , with a particular emphasis on Stanley Kubrick’s work. University of Antwerp, Film Studies, Faculty Member Research Interests Coëgnarts explores how embodied mental schemas shape cinematic perception and creation. His work bridges cognitive linguistics, neuroscience, and film theory to analyze abstract concepts in films through visual, auditory, and editing techniques . Key areas include sensory-motor grounding of emotions , spatio-temporal dynamics in art cinema , and subjectivity in narrative . Recent Publications His 2023–2022 articles examine sound analysis via container schemas , motion vectors , and temporal logic in films , while 2016–2020 works address emotional causality and metaphorical perception . He co-edited the 2023 Baltic Screen Media Review special issue on "Cinematic Minds in the Making" . Scientific Recognition Fellow, SCSMI Books He authored Film as Embodied Art: Bodily Meaning in the Cinema of Stanley Kubrick (2019) and co-edited Embodied Cognition and Cinema (2015). His work highlights filmmakers as "conceptual artists" who leverage non-verbal cinematic tools to convey abstract ideas.

• Online Reputation Management
• Consumer Behavior
• Sustainable Development
• +4 more

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.

• Physics Applications in Firefighting
• Thermography in Fire Detection
• Wood Processing Technology
• +5 more

Ľuboš Krišťák serves as Associate Professor and Head of the Department of Physics, Electrical Engineering and Applied Mechanics at the Faculty of Wood Sciences and Technology, Technical University of Zvolen. With identification number 9595, he maintains an active role in university governance through multiple committees including the Scientific and Artistic Council, Dean's Board, and various Study Programme Committees related to Wood Processing Technology and Fire Protection and Safety. His research interests span physics applications in firefighting, thermography for fire detection, wood processing technology, and hydraulic systems in firefighting equipment. Dr. Krišťák's work bridges theoretical physics with practical applications in fire protection engineering, particularly focusing on meteorological impacts on forest fires and thermal imaging technologies. As a dedicated educator, he teaches multiple courses including Applied Physics, Physics in Fire Protection, Informatics for Technologists, Materials Science, and Non-destructive Testing of Wood Materials. His teaching responsibilities for the 2025/2026 academic year demonstrate his ongoing commitment to technical education. Throughout his career, Dr. Krišťák has supervised an extensive number of student theses across bachelor's, diploma, dissertation, and final thesis categories. His supervision portfolio reveals a strong emphasis on practical fire protection technologies, thermography applications, and hydraulic systems. ORCHID: 0000-0002-2385-5760 ResearcherID: A-1882-2019 Scopus Author ID: 57216909918 His administrative leadership extends to heading his department while participating in numerous university committees since 2016, with active roles continuing through 2025. The department's workplace address is KFEAM DF, Office B 514, with work phone +421 455 206 836.

Žofia DubováView profile

Assistant Professor

• Painting
• Contemporary Art
• Landscape Art
• +4 more

Žofia Dubová is an Assistant Professor at the Academy of Fine Arts in Bratislava, where she teaches in the Department of Applied Arts, specifically in the Drawing cabinet. A distinguished Slovak painter born in 1991 in Bratislava, she completed her doctoral studies at the Academy of Fine Arts in Bratislava in 2018. Her artistic practice spans painting in various forms and media, with a particular focus on landscapes and diverse environments. Dubová has participated in study internships at the Universidade do Porto in Portugal and the University of Arizona in the USA. Her educational background includes: 2018-2022: Doctoral studies at the Academy of Fine Arts in Bratislava 2014-2017: Additional pedagogical studies at the Academy of Fine Arts in Bratislava 2010-2016: Studies at the Academy of Fine Arts in Bratislava in Painting and Other Media 2015: Study internship at the University of Arizona 2012-2013: Study internship at the Faculty of Fine Arts of the University of Porto Žofia Dubová's artistic practice centers on painting as both passion and exploration. She investigates questions of freedom, the meaning of country for humans, self-reinvention, and what lies beyond an image. Her primary inspiration comes from landscapes, diverse environments, and personal experiences with painting and imagery. Dubová perceives her artistic practice as an ongoing process where knowledge and experience gradually accumulate, influencing her creative output. She explores the relationship between artistic research and scientific research, questioning whether art can follow the same rules as science while recognizing art's inherent creativity and non-transferable nature. Dubová's publications and artistic output demonstrate a consistent exploration of landscape, space, and the boundaries of painting. Her work shows a progression from traditional painting techniques to innovative explorations of glass as a medium. She frequently examines the relationship between physical and imagined spaces, particularly focusing on mountains and horizons as symbolic elements. Her publications reveal a deep engagement with contemporary Slovak art while maintaining international connections through collaborations and exhibitions in Portugal, the USA, and across Europe. Žofia Dubová has received numerous prestigious awards recognizing her artistic excellence: 2023: Cena Nadácie NOVUM 2020: Cena Slovenskej rektorskej konferencie za umenie 2018: Cena nadácie NOVUM 2017: 1st place in the Painting of the Year Award (VÚB Bank Foundation) 2017: Nomination for the Martin Benka Award 2016: Award from the Slovak Union of Visual Artists at the 6th Biennale of Free Visual Arts 2016: Rector's Award from the Academy of Fine Arts As an Assistant Professor at the Academy of Fine Arts in Bratislava, Dubová contributes to art education while maintaining her active artistic practice. She has participated in international projects and collaborations, including study internships that have expanded her artistic perspective. Her work is represented in the collection of the Slovak National Gallery, indicating recognition of her contribution to Slovak visual arts. Dubová has presented her work at numerous solo and group exhibitions across Slovakia, Europe, and the USA, demonstrating her active engagement in the international art community. Dubová has been involved in various artistic communities and collaborative projects throughout her career. She has participated in international glass art symposiums and has explored glass as a medium for painting, indicating engagement with specialized artistic communities. Her collaborations with institutions like the Slovak National Gallery and international galleries suggest active participation in broader artistic networks that support contemporary Slovak art.

• Parallel Programming
• GPU Programming
• Image Processing
• +5 more

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.

Peter ProcházkaView profile

Assistant Professor

• Internet of Things (IoT)
• UX Design
• Multimedia Applications
• +3 more

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
• +4 more

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

Peter AnčicView profile

Lecturer

• Photography Techniques
• Art Education
• Historical Photography
• +3 more

Peter Ančic is a Lecturer at the Department of Photography and New Media of the Academy of Fine Arts and Design in Bratislava (AFAD). His work focuses on photography education, historical photographic techniques, and documentary practices. He teaches courses such as 'Basics of Photography for Restorers' and 'Techniques of Photography and Image Processing.' His notable artistic project From the series Husák's Generation I. (2008) explores socio-political themes through portraiture, exhibited at the Nitra Gallery. This series reflects on generational identity under late 20th-century Slovak political contexts. Ančic's research interests bridge technical photography skills with cultural analysis, emphasizing the role of archival processes in contemporary art. Despite no listed grants or awards, his pedagogical contributions are central to AFAD's visual arts curriculum.

Juraj ZajoncView profile

Lecturer

• textile culture
• traditional artistic expression
• cultural heritage
• +3 more

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
• +6 more

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.

Michal HubaView profile

Assistant Professor

• Photography
• Visual Media
• Landscape Studies
• +3 more

Michal Huba is an Assistant Professor at the Department of Photography and New Media, Academy of Fine Arts. His work bridges artistic and academic practices through photographic exploration of landscape, time, and human-nature interplay. Academic Affiliation: Academy of Fine Arts Department: Photography and New Media Research Interests: Huba focuses on the layered structures of landscapes as time-space phenomena, integrating geological, biological, archaeological, and mythical aspects. His projects like Chronotop and Physics deconstruct human-nature dualisms through metaphorical imagery and photographic installations. Selected Projects: Chronotop (2019–2022) explores sedimentation and decay rhythms in the Vienna Basin region, while Physics (2017–2018) examines natural/human modalities through organic image clusters. Keywords: Landscape Studies, Metaphorical Imagery, Photographic Installation

Veronika ŠramatyováView profile

Associate Professor

• Painting
• Conceptual Art
• Photorealistic Painting
• +3 more

Veronika Šramatyová is an Associate Professor at the Department of Restoration, Academy of Fine Arts and Design in Bratislava. She is a prominent Slovak artist, poet, and academic specializing in photorealistic painting with neo-conceptual tendencies. Her work explores the relationship between painting and photography, often thematizing boundaries between artist, gallery, viewer, and artwork. She earned her ArtD. degree (2005-2010) from Studio ± XXI under Professor Daniel Fischer at the Academy of Fine Arts in Bratislava. Her educational background includes studies in Painting and Other Media (1996-2003), with additional exchange at Studio of Sculpture and Free Creation in Poznan, Poland (2001), and training in Restoration at the Secondary School of Applied Arts in Kremnica (1992-1996). Šramatyová's research interests span photorealistic painting, conceptual art, and poetry. Her work demonstrates neo-conceptual tendencies while maintaining technical excellence in painting. She explores the boundaries between different media, particularly the relationship between painting and photography, creating complex dialogues between artistic mediums and institutional contexts. Her projects often incorporate strategies that create relationships with viewers or gallery institutions, challenging conventional artistic frameworks. Her publications reveal a strong focus on contemporary Slovak art, with recurring themes of narrative construction, visual illusion, and the relationship between image and mind. Her work appears across art criticism, exhibition catalogues, and poetry anthologies, demonstrating her interdisciplinary approach to artistic expression. PAINTING 2011, VUB Foundation, participation in final STRABAG AWARD 2011, participation in semifinal ESSL AWARD 2007, 2nd prize Literary Zvolen, Poetry (1994, 1995, 1996) Šramatyová has been actively involved in mentoring through her teaching positions and her Workshort Residency program in Reca, Slovakia, which she has organized since 2008. Her "Barter Collection" project, initiated in 2005, represents an innovative approach to art collection and exchange. She has participated in numerous international collaborations and residencies, including projects in the United States, Switzerland, and various European countries. Her studio practice includes the Workshort Residency program in Reca, Slovakia, which has hosted numerous international artists since 2008. She also manages the Barter Collection project, an innovative approach to art collection and exchange that operates outside traditional commercial frameworks.

Ladislav VéghView profile

Associate Professor

• Computer Science Education
• Educational Technology
• Artificial Intelligence
• +5 more

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.

• Type Theory
• Programming Language Semantics
• Formal Proofs
• +2 more

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
• +5 more

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.