Find Academic Supervisors

Katalin Piniel is an Assistant Professor at the Department of English Applied Linguistics within the School of English and American Studies at Eötvös Loránd University, Budapest. Her work bridges applied linguistics and educational psychology , focusing on the dynamic interplay of emotions , including language anxiety , motivation, and self-efficacy in foreign language learning contexts, particularly in Hungary. PhD in Language Pedagogy (ELTE) Associate Editor of Studies in Second Language Learning and Teaching Active reviewer for applied linguistics journals Her research integrates complex dynamic systems theory to analyze longitudinal changes in affective variables and employs meta-analytic techniques to validate anxiety measurement tools like the Foreign Language Classroom Anxiety Scale (FLCAS) . She explores formative and summative assessment practices in Hungarian high schools and investigates flow experiences during language tasks. Her methodological interests include quantitative tools (e.g., Rasch analysis), collaborative research , and cross-cultural comparisons (e.g., Hungarian-Kazakh studies). Recent publications highlight trends in emotion-motivation dynamics , skills-based anxiety measurement , and the impact of online education on affective variables. She collaborates on projects examining special needs learners , including Deaf and hard-of-hearing students , in foreign language acquisition. Contact: brozik-piniel.katalin@btk.elte.hu | ORCID | Google Scholar | ResearchGate

• Applied Linguistics
• Language Learning
• Emotions in Education
• +5 more

Andrea Kő is a researcher at the Corvinus University of Budapest's Institute of Data Analysis and Informatics, with a focus on artificial intelligence, fintech, and big data applications. She has held positions in the Department of Information Systems until 2022 before transitioning to her current role. Her work emphasizes investment recommenders, Industry 4.0 readiness, and e-government solutions. Her research spans financial technologies, manufacturing optimization, and organizational resilience in SMEs. Notable contributions include hybrid AI models for production systems and frameworks for digital transformation assessment. She actively contributes to international conferences like EGOVIS and BiDEDE, editing proceedings and presenting on topics such as robo-advisors and smart manufacturing. Key projects include the CCMS2.0e maturity model for Industry 4.0 adoption and studies on pandemic impacts on SMEs. Her work integrates machine learning (ANFIS, MMNN) with domain-specific challenges, addressing both theoretical and practical aspects of digital innovation across sectors.

• Artificial Intelligence
• Fintech
• Big Data
• +3 more

János Kertész is a Professor at the Department of Network and Data Science at Central European University (CEU) since 2012, and previously held the position of Professor at the Budapest University of Technology and Economics (1992–2018). He obtained his PhD in Physics from Eötvös University (1980) and DSc from the Hungarian Academy of Sciences (1989). His research spans statistical physics applications, complex networks, and financial analysis. He has authored over 280 papers and served on editorial boards of journals like Journal of Physics A and Physical Review E . His research focuses on interdisciplinary topics including social network dynamics, systemic risk in economic systems, and algorithmic bias in digital environments. Notable awards include the Széchenyi Prize (Hungary’s highest scientific honor) and the Finland Distinguished Professorship. He has led projects such as SAI (Socially Explainable AI) and HUMANE-AI-NET, addressing algorithmic bias and AI ethics. His work bridges physics-based modeling with real-world social and economic systems, emphasizing computational approaches to corruption, opinion formation, and innovation diffusion. Key contributions include modeling cascading failures in interdependent networks and analyzing attention dynamics on platforms like Sina Weibo during the pandemic. He advises on systemic risk mitigation strategies and collaborates internationally, with visiting roles in Germany, the U.S., France, Italy, and Finland.

• Statistical Physics
• Complex Networks
• Financial Analysis
• +9 more

Ildikó Király is a Professor at the Institute of Psychology, Eötvös Loránd University, Budapest, currently serving as Head of the Department of Cognitive Psychology and lecturer. Her research focuses on developmental psychology, particularly social cognition, imitation behavior, and theory of mind in early childhood. Key areas: Social Cognition , Developmental Neuroscience , and Cognitive Development Recent work examines preschoolers' exploration tendencies, joint action observation effects, and linguistic group membership's role in perspective taking. She leads the Social Minds Research Group , investigating how cultural knowledge transmission shapes cognitive development. Her 2021-2025 publications reveal trends in: Imitative behavior's sensitivity to social norms and group identity Memory flexibility in adapting to changing contexts Interactions between semantic processing and mentalization in social situations Comparative studies on human and non-human primate cognition

• Developmental Psychology
• Social Cognition
• Cognitive Psychology
• +3 more

Dr. habil. Dringó-Horváth Ida is an Associate Professor at the Faculty of Humanities and Social Sciences of Károli Gáspár University of the Reformed Church in Hungary (KRE). She serves as Head of the ICT Research Center under the Rector's Office and as Head of the Educational Informatics Continuing Education Center at KRE BTK. Her leadership extends to multiple research projects focused on educational technology in higher education, particularly examining digital competencies, teacher development, and the integration of information and communication technologies in academic settings. Dr. Dringó-Horváth earned her PhD in German Studies/Linguistics from Eötvös Loránd University in 2004, with a dissertation titled "Analysis and Evaluation of the Modern Teaching and Learning Medium 'Elektronisches PC-Wörterbuch'." She completed her habilitation in Educational Science at the same institution in 2019. Her academic background includes an MA in German from Eötvös Loránd University (1998) and additional qualifications in educational informatics and social work. Her research focuses on the intersection of educational technology and higher education pedagogy, with particular emphasis on digital competence development for teachers, dictionary skills in language learning, and the digital transformation of educational practices. Dr. Dringó-Horváth leads the "Educational Informatics in Higher Education" research project, which examines effective learning/teaching opportunities in electronic learning environments and maps ICT indicators of higher education lecturers. Her work explores how reflection processes contribute to long-term teacher competency development in the digital age. Analysis of her recent publications reveals a strong focus on artificial intelligence in higher education, technostress reduction, and digital competence measurement. Her research shows how digital transformation impacts both teaching practices and student learning experiences. She has made significant contributions to understanding how educators develop digital competencies and integrate technology into their teaching practices across different disciplines. Károli Kiválóság Díj (2022) for Q1 publication Károli Kiválóság Díj (2023) for Q1 publication Károli Kiválóság Díj (2023) for Q2 publication A. S. Hornby Trust Grant for dictionary research presentation at EURALEX Conference Dr. Dringó-Horváth actively mentors doctoral students including Sebestyén Lilla Anna, Veres Violetta, and Gulmira Kusajynkyzy. She serves as institutional coordinator for multiple significant research projects including "PROFFORMANCE+" (2022-2025), "Ensuring Quality Digital Higher Education in Hungary" (2022-2023), and "Support of Digital Transformation of Hungarian Higher Education" (2021-2022). Her grant portfolio demonstrates strong institutional support for her work in educational technology and faculty development. As leader of the ICT Research and Training Centre (Educational Technology Research and Training Centre), Dr. Dringó-Horváth oversees a dynamic team conducting research on information and communication technologies in higher education. The center collaborates with international and domestic institutions to develop best practices for digital learning environments. Her team's work has significantly influenced Hungarian higher education policy regarding digital transformation and teacher development.

• Educational Technology
• Educational Informatics
• Digital Competencies
• +5 more

Edina Robin is a Habilitated Associate Professor at the Institute of Language Mediation , part of Eötvös Loránd University . She serves as the Director of the Institute and leads two departments: the Department of Translation and Interpreting and the Department of Hungarian as a Foreign Language . Her work bridges theoretical and applied translation studies, emphasizing modern challenges in language mediation. Role: Director of Institute of Language Mediation Role: Head of Department of Translation and Interpreting Role: Head of Department of Hungarian as a Foreign Language Research Interests Translation universals and revision practices Corpus-based translation analysis Human-in-the-loop machine translation systems Ethical implications of AI in translation Distance education methodologies in translation training Publication Trends reflect her interdisciplinary focus on machine translation (33%), translation teaching (25%), corpus linguistics (20%), and crisis communication (15%). Recent works explore the intersection of artificial intelligence, human agency, and ethical frameworks in language mediation. Academic Leadership includes institutional development for language mediation, curriculum design for Hungarian as a foreign language, and fostering collaboration between academic and industry translation practices.

• Translation Studies
• Corpus Linguistics
• Machine Translation
• +5 more

Krisztián Széll is a Habil. Associate Professor at Eötvös Loránd University’s College of Education, specializing in educational inequality and school resilience. His research explores student achievement, school climate, Roma student integration, adaptive testing, and school dropout risk. He leads the Research Group on Innovation and Equality in Education and serves on the university’s Research Ethics Committee. Key Research Areas: Educational equity, resilience development, language policy, psychometric testing, and pandemic-era learning patterns. Publications: Focus on Hungary, cross-national comparisons, and methodological advancements in educational assessment. Affiliations: Eötvös Loránd University, Research Ethics Committee, Research Group on Innovation and Equality in Education. His recent work analyzes contextual factors in student belonging, adaptive testing formulas, and pandemic impacts on learning. He contributes to debates on reliability metrics like Cronbach’s alpha and institutional factors shaping educational outcomes.

• Educational Inequality
• School Resilience
• Student Achievement
• +7 more

Tamás Tettamanti is a Professor at Budapest University of Technology and Economics, serving as Deputy Head of the Department of Control for Transportation and Vehicle Systems. He holds a PhD (2013), Habilitation (2023), and DSc (2023) in Transportation Engineering, with expertise in road traffic modeling and control. 2007–2010: PhD Student 2010–2013: Assistant Lecturer 2014–2018: Senior Lecturer 2019–2024: Associate Professor 2025–present: Full Professor Education: High School Graduation (2001), DEUG (2004), MSc in Transportation Engineering (2007), Jazz Trumpet Graduate (2008) PhD (2013), Habilitation (2023), DSc (2023) Research focuses on road traffic modeling, intelligent transportation systems (ITS), autonomous vehicle integration, and emission-aware traffic control. His work bridges theoretical developments with real-world applications, including wireless traffic light systems and deep learning for urban mobility peaks. Scientific Awards: BME PhD Research Prize (2012) Literary Awards from Hungarian Scientific Association for Transport (2013, 2017, 2021, 2023) Bolyai János Research Scholarship (2017–2020) Michelberger Master Prize (2022) BME Jubilee Medal (2023) He has led major projects such as Dynamic Adaptive Traffic Control Services (2020–2024) and Deep Learning Anticipated Urban Mobility Peaks (DARUMA) (2021–2024), with industry collaborations including Google-BME Traffic Lab.

• Road Traffic Control
• Intelligent Transportation Systems
• Traffic Simulation
• +3 more

Dr. Balázs Varga is a Research Fellow at the Department of Control for Transportation and Vehicle Systems, Budapest University of Technology and Economics (BME). He holds a PhD in Transportation and Vehicle Sciences (2021) and an MSc in Vehicle Engineering (2015) from BME. His industry experience includes roles at AVL Hungary as a Software and Function Developer (2016–2018) and academic positions at Chalmers University of Technology (2015) and SZTAKI (2012–2014). Current Role: Research Fellow (2021–present) Teaching: Programming, Control Theory, Traffic Modeling (English language course) Research Interests: Varga specializes in road traffic modeling and control, focusing on AI-based traffic estimation and dynamic traffic management. His work integrates machine learning with mesoscopic and microscopic traffic simulation tools like SUMO to optimize urban mobility and reduce emissions. Projects: He leads the 2020–2024 national development project 'Dynamic, adaptive traffic control services and evaluation tools based on digitally connected data sources' (2019-1.1.1-PIACI KFI). This initiative leverages connected data sources for real-time traffic control and policy evaluation. Key Publications Trends: His recent articles explore topics such as graph neural networks for sensor placement, multiobjective control of emissions, and mixed-reality V2X testing. These works emphasize data-driven approaches, emission reduction, and simulation frameworks for autonomous vehicles.

• Road Traffic Modeling and Control
• AI-based Traffic Flow Prediction
• Urban Traffic Simulation
• +3 more

Dr. Varga István is a Full Professor at the Budapest University of Technology and Economics (BME) in the Faculty of Transportation Engineering and Vehicle Engineering, and a Scientific Advisor at the HUN-REN Institute for Computer Science and Control. He holds a D.Sc. from the Hungarian Academy of Sciences (2020), a Ph.D. (2007), and an M.Sc. in Transportation Engineering (1998). His primary research focuses on road traffic control and traffic automation systems , with expertise in intelligent transportation solutions and vehicle mechatronics. His research integrates control theory with practical applications in urban mobility, including dynamic traffic light systems, autonomous vehicle impacts, and emission modeling. Recent work explores V2X communication, platooning technologies, and microscopic traffic simulation for urban optimization. He has led major projects such as the national innovation project 'Dynamic, adaptive traffic control services based on digital data sources' (2020-2024) and industrial collaborations with Knorr-Bremse, Siemens, and nuclear energy sectors. Awards include the Hungarian Academy of Sciences Young Prize (2007) and multiple recognitions for technological innovation. Educational activities include courses on Road Traffic Control, Mathematical Methods, and Vehicle System Modeling. Laboratory leadership includes the Road Traffic Control Lab with industry partnerships like Bosch and SWARCO.

• Road Traffic Control
• Traffic Automation
• Transportation Systems
• +2 more

Mátyás Anikó serves as an Assistant Lecturer at the Department of English Linguistics and Literature, Faculty of Humanities and Social Sciences, University of Miskolc. Office: A/6, room 3 Email: aniko.matyas@uni-miskolc.hu Phone: 06-46/565-111/22-46 Office hours: Tuesdays by appointment only Dr. Mátyás holds a Teacher of English MA and Translator in Social Sciences and Economics degrees from the University of Miskolc, and is pursuing a PhD in Language Pedagogy at Eötvös Loránd University. Her research spans multiple dimensions of language education with particular emphasis on contemporary teaching methodologies and learner engagement. Her work investigates the intersection of traditional language instruction with modern educational approaches, focusing on how teacher personality influences classroom dynamics, innovative writing instruction techniques for the digital age, and the complex relationship between teacher and student motivation. She examines language testing frameworks alongside differentiation strategies that accommodate diverse learning needs in multilingual environments. Dr. Mátyás' scholarship extends to neurolinguistics, exploring how language processing in the brain informs pedagogical approaches, while her interest in gamification represents engagement with cutting-edge instructional technologies. Her comprehensive research portfolio demonstrates both theoretical depth and practical application in language education.

• Language teaching
• Language testing
• Language skills development
• +11 more

Nóra Wünsch-Nagy is an Assistant Professor at the Department of English Applied Linguistics , Eötvös Loránd University , where she teaches within the School of English and American Studies . Her work bridges social semiotics , multimodal literacy , and museum education , focusing on interdisciplinary pedagogical frameworks. Research Focus: Multimodal meaning-making, Legitimation Code Theory (LCT), academic literacy, and arts integration Teaching Approach: Embodied museum-based learning, genre-informed pedagogy Methodologies: Social semiotic analysis, semantic wave theory, curriculum development Recent publications examine digital multimodal composition, exhibition reviews as academic writing, and visual literacy development. Her work emphasizes explicit knowledge structuring through LCT and Systemic Functional Linguistics , connecting classroom pedagogy with museum-based learning environments. Key Collaborations: Dániel Horváth (art education collaboration) Network of international researchers in multimodality and LCT Professional Platforms: ResearchGate Profile Publications Repository

• Social Semiotics
• Multimodality
• Museum Education
• +4 more

Péter Kiszl is a Hungarian librarian , economist , and university professor at the Institute of Library and Information Science , Faculty of Humanities, Eötvös Loránd University. He serves as Institute Director , Head of Department of Information Science and Library Science , and Doctoral Program Director . His work spans information/knowledge management , financial literacy , digital humanities , and library training programs. Education: MA in Library Science (ELTE, 2001), BSc in Economics (Szolnok College, 2002), PhD summa cum laude (ELTE, 2004), Habilitation (ELTE, 2010) Research focuses on interdisciplinary approaches to information disorders , financial literacy programs in libraries, and digital humanities integration. He has published 200+ works in journals like The Journal of Academic Librarianship and Reference Services Review , with recent studies analyzing AI implementation in academic libraries and global LIS trends . His 15 most recent publications (2022–2025) reveal a conceptual framework for librarian identity in infodemics, innovation strategies in Kenyan libraries, and digital preservation of circus arts. Articles frequently address information ethics , community financial education , and library transformation in crises. Scientific Awards: ELTE BTK Kariné Díj (2020, 2021, 2022) MTA Bolyai János Kutatási Ösztöndíj (2020–2023) ÚNKP Bolyai+ (2020/21, 2021/22, 2022/23) As founding director of ELTE’s Digital Humanities Center (2017–2019) and organizer of the Real Library–Library Reality conference series, he drives international LIS collaborations through COST Action and Ceepus networks. He supervises Stipendium Hungaricum doctoral students and chairs multiple academic committees.

• Information and Knowledge Management
• Financial Literacy and Libraries
• Business Information
• +3 more

Szilard Szlavik serves as a Lecturer at the Department of Translation and Interpreting within the Institute of Language Mediation at Eötvös Loránd University (ELTE) in Budapest, Hungary. His academic base is located at 1088 Budapest, Múzeum körút 4/F, Room F I/9, with primary contact via szlavik.szilard@btk.elte.hu. His professional profile integrates teaching with cutting-edge research at the intersection of human translation and machine-assisted workflows. Dr. Szlavik's research centers on machine translation (MT) and post-editing (PE), with particular emphasis on quality assurance mechanisms in human-in-the-loop MT systems. His work investigates error identification protocols, lexical cohesion preservation in neural MT outputs, and the cognitive dimensions of developing post-editing competence. He actively employs corpus-based methodologies, utilizing tools like Sketch Engine for lexical analysis, while exploring pedagogical applications through platforms such as Quizlet for translation training. His research bridges theoretical linguistics with practical translation technology implementation. Analysis of his 2021-2024 publications reveals a consistent trajectory in MT-human collaboration research, characterized by empirical studies on English-Hungarian specialized translation, terminological standardization challenges, and cognitive aspects of post-editing. His corpus-based approach extends to edited volumes examining Hungarian translation research practices, demonstrating methodological rigor across both Hungarian and international scholarly contexts. No scientific awards were documented in available sources. Information regarding student supervision, grant funding, or research team leadership was not specified in the source materials. His professional activities appear focused on individual scholarship and departmental teaching responsibilities within ELTE's translation framework.

• Machine Translation
• Post-editing
• Translation Quality Assurance
• +4 more

József Laszlovszky is a Professor in the Department of Medieval Studies at Central European University (full-time) and a guest lecturer at the Department of Medieval and Postmedieval Archaeology, Eötvös Loránd University, Budapest. His research focuses on medieval archaeology, monastic archaeology, and historical seismology, with a particular interest in the Mongol invasion of Hungary and the archaeology of modern periods. He leads interdisciplinary projects such as the Mongol Invasion of Hungary in Its Eurasian Context, combining archaeology, military history, and environmental studies. His work often addresses legal and policy issues related to archaeological heritage protection in Hungary, advocating for expanded temporal frameworks beyond the 1711 CE cutoff. Key publications include studies on the 1541 Visegrád earthquake’s archaeological evidence, 3D reconstruction of medieval monuments like Queen Gertrude’s burial, and critiques of Hungarian cultural heritage legislation. Laszlovszky also employs advanced technologies like laser scanning for heritage preservation and collaborates internationally on projects in Mongolia and Europe. His research highlights include the Battle of Muhi battlefield analysis, medieval glass production studies at Pomáz, and the intersection of environmental history with Mongol military strategies. He contributes to public archaeology through community projects and exhibitions, ensuring research impacts broader audiences. Despite no explicit awards listed, his contributions significantly advance medieval and post-medieval archaeology, particularly in Eurasian contexts.

• Medieval Archaeology
• Monastic Archaeology
• Post-Medieval Archaeology
• +3 more