جستجوی استاد راهنمای دانشگاهی

Anna Bárdits is a Postdoctoral Researcher at the Department of Economics and Business at the Central European University (CEU) in Vienna and a Junior Research Fellow at the Economics Institute of the Centre for Regional Studies (KRTK KTI) in Budapest. She earned her PhD in Economics from CEU in 2023. Her research focuses on labor economics, health economics, and education economics, with particular attention to fertility responses to economic shocks, foster care systems' impacts, and policy evaluations. Her work includes analyzing how employment instability influences reproductive decisions, comparing outcomes for children in foster care versus institutional care, and assessing educational policies. She employs rigorous quantitative methods, leveraging administrative data from Hungary to address critical socioeconomic questions. Her research highlights the interplay between economic policies and individual well-being, emphasizing evidence-based approaches to address societal challenges. Key contributions include studies on precautionary fertility behavior and the long-term effects of childhood care environments. Anna’s expertise is reflected in her diverse publications spanning labor market dynamics, health policy, and methodological critiques. She collaborates with institutions like KRTK KTI and maintains an active presence in academic networks, contributing to interdisciplinary discussions in economics and social sciences.

• Labor Economics
• Health Economics
• Education Economics
• +۳ مورد دیگر

Andrew X. Li is an Assistant Professor at the Department of International Relations, Central European University (CEU), specializing in international political economy, political economy of development, and quantitative research methods. He holds a Joint PhD in Political Science and Management from the National University of Singapore (NUS) and King's College London. His research interests include: International Finance Migration and Development Foreign Policy Analysis Comparative Regionalism Quantitative Methodology Political Economy of Development Notable scientific awards include: Founding Member, Methods Excellence Network Recent publications span topics like: Regional Integration and Prospect Theory (2025) Leadership Turnover and Foreign Policy (2024) Authoritarian Legacy in Digital Democracy (2021) BRICS Exchange Rate Policies (2020) Academic Mobility Networks (2019) He previously served as a research fellow at Nanyang Technological University's School of Social Sciences and was a visiting faculty member at New York City's Bard Globalization and International Affairs Program.

• International Political Economy
• International Finance
• Migration Studies
• +۵ مورد دیگر

János Kata is a Senior Lecturer at the Department of Technical Pedagogy , Budapest University of Technology and Economics (BME), Faculty of Economics and Social Sciences. His work focuses on technical pedagogy, higher education assessment, and vocational training processes. With a background in mechanical engineering and engineering teacher education, he has contributed extensively to understanding student failure phenomena, group assessment methods, and lifelong learning frameworks. Research Trends: Analysis of student performance, technology integration in education, and optimization of vocational training using system engineering models. Key Publications: Books and conference papers on learning technology, brainstorming-based assessment, and cultural dimensions of education (2013-2000). Academic Affiliations: Active member of BME's Department of Technical Pedagogy since 1999. Holds degrees in mechanical engineering and engineering pedagogy from BME. Notable Contributions: Development of operation research teaching methods for technical educators and system engineering models for vocational training optimization. His 1999-2013 works bridge theoretical pedagogy with practical industrial education needs.

• Educational Sciences
• Technical Pedagogy
• Vocational Education
• +۵ مورد دیگر

Eszter Rita Katona is an Assistant Professor at Eötvös Loránd University's Faculty of Social Sciences, Department of Social Research Methodology. She serves as a lecturer at multiple research centers including the Research Center for Computational Social Science (RC2S2), Survey Methods Room Budapest, and Széchenyi István College for Advanced Studies. Education: PhD in Interdisciplinary Social Research (Doctoral School of Sociology, 2018-2023) Computer Science specialization (Faculty of Informatics, 2016-2017) Survey Statistics MSc (Faculty of Social Sciences, 2015-2018) Social Sciences BA (Faculty of Social Sciences, 2011-2015) German Studies BA (Faculty of Humanities, 2012-2015) Angelusz Róbert College for Advanced Studies (2014-2018) Research Focus: As a computational social scientist, her work spans three major domains: NLP and data visualization applications in social research Discursive framing of depression in online communities Corruption risk assessment in public procurement Teaching Expertise: In her academic role, she teaches: BA courses: Data Collection Methods, Data Visualization, Introduction to Sociological Research, Quantitative Data Analysis MSc courses: Advanced Data Visualization, Python Programming, Communication and Data Visualization, Text Analytics Scientific Contributions: Her recent publications and conference presentations focus on: Machine learning for depression discourse analysis Digital lens approach to Holocaust testimonies Corruption risk modeling in public procurement Interdisciplinary NLP applications Computational social science methodology Contact: katona.eszter@tatk.elte.hu

• Computational Social Science
• Social Research Methodology
• Natural Language Processing
• +۷ مورد دیگر

Dr. Csaba Hegedűs is an active Associate Professor in the Department of Supply Chain Management at the University of Pannonia, Hungary, with office in Building "A", Room 121. He teaches core modules including Business Process Modeling and Re-engineering, Reliability and Risk Management, Quantitative Methods, and Production Quality Control, reflecting his operational research focus. Contact details are email: hegedus.csaba@gtk.uni-pannon.hu; phone: +36 88 624 – 106. Educational background: MSc in Engineering Management (2008) PhD (year unspecified) His research centers on Operations Management with interdisciplinary applications in industrial risk and uncertainty. Key areas include: Risk-based quality control systems Measurement uncertainty in conformity assessment Matrix-driven project planning frameworks Statistical process control under risk conditions Survival analysis of IT project management Decision support for industrial risk mitigation Publication trends (2013-2023) reveal sustained innovation in risk-modified control charts and matrix-based project libraries, bridging Operations Research, Statistics, and Industrial Engineering to address real-world uncertainty in quality decisions. Scientific awards: No documented awards in provided materials As Associate Professor, he likely supervises graduate research but no students are listed. His project experiences and GMT consultation role suggest applied industry collaborations, though specific grants or advising details remain unreported. Consultation hours require email pre-negotiation (Mondays 15:00-16:00). No dedicated laboratories or formal research teams are referenced in the available information.

• Operations Management
• Risk Management
• Quality Control
• +۳ مورد دیگر

Balázs András Varga is a Lecturer at the Department of Personality and Health Psychology, Eötvös Loránd University. He is affiliated with the Institute of Psychology and can be reached at varga.balazs@ppk.elte.hu. His office is Room 512 at 1064 Budapest, Izabella u. 46. His research interests span Health Psychology, Positive Psychology, Sexual Behavior, Adolescent Mental Health, Quantitative Methods, and Cultural Psychology. He focuses on topics such as school climate, well-being assessment, sexual response dynamics, and cultural adaptation across generations. His recent publications (2019–2025) reflect a focus on psychological well-being, sexual health, and cultural studies, with methodological contributions in quantitative research. Notable works include studies on flourishing measurement in Hungarian populations and the psychometric validation of the PERMA Well-Being Profile. No scientific awards are explicitly mentioned in the provided texts. Details on advising students or grants are not available. No specific laboratory or team affiliations are noted.

• Health Psychology
• Positive Psychology
• Sexual Behavior
• +۴ مورد دیگر

Judit Nóra Pintér is an Associate Professor at the Department of Counselling and School Psychology within the Institute of Psychology at Eötvös Loránd University. Her research focuses on qualitative methodologies, particularly interpretative phenomenological analysis (IPA), to explore patient experiences in healthcare contexts, trauma, addiction, and identity formation. She holds affiliations with the Psychology as Human Science Research Group and actively contributes to academic discourse through her publications and teaching roles. Her work addresses critical issues such as stigmatization in mental health, chronic illness management during pandemics, and the psychological impact of surgical interventions. She has also investigated topics like elite athletes' experiences during motherhood and the representation of trauma in cinematic narratives. Pintér’s interdisciplinary approach bridges clinical practice, qualitative research, and policy implications. Her publications span over two decades, with recent emphasis on patient-centered care, healthcare conflict resolution, and the intersection of substance use and identity. She maintains an active academic presence through Google Scholar and institutional platforms like doktori.hu.

• Health Psychology
• Clinical Psychology
• Qualitative Research Methods
• +۴ مورد دیگر

Dr. Márta Seebauer is an Associate Professor at Alba Regia Faculty of Óbuda University. Her research spans interdisciplinary areas including artificial intelligence applications in energy systems, structural engineering reliability analysis, financial risk modeling, and sensor technology for food quality assessment. She maintains an active publication record with work showcased in IEEE symposiums and specialized journals. Email: seebauer.marta@uni-obuda.hu Consultation Hours: Thursdays 14:00-15:00 Her research interests emphasize practical applications of computational methods in civil, environmental, and smart city technologies. Recent work includes neural network-based energy monitoring systems and asbestos risk mitigation strategies during building demolition.

• Artificial Intelligence
• Computer Science
• Civil Engineering
• +۵ مورد دیگر

Laszlo Matyas is a University Professor at the Department of Economics and Business at Central European University (CEU). He has held leadership roles, including Head of the Hungarian Accredited PhD Program in Economics and former Provost of CEU. His work focuses on econometrics , panel data analysis , and policy analysis in Central and Eastern Europe . He has co-authored/co-edited influential works, such as the Springer book series on econometrics. Education: Ph.D. (C.Sc, D.Sc) in Economics/Econometrics from the Hungarian Academy of Sciences. Research Interests: His research emphasizes panel data methodologies, fixed effects models, gravity models in trade analysis, and the impact of institutional changes on economic behavior. Recent work explores inflation dynamics, post-pandemic economic recovery, and machine learning applications in econometrics. Articles Trends: His recent publications address panel data techniques, policy implications of trade flows, and the economic effects of geopolitical events like the Ukraine war. He also investigates methodological challenges in econometrics, such as discretized variables and pairwise observations. Grants & Labs: While specific grants are not listed, his editorial roles and co-edited volumes (e.g., Seven Decades of Econometrics ) highlight his contributions to advancing econometric theory and practice.

• Econometrics
• Panel Data Analysis
• Policy Analysis (Central and Eastern Europe)
• +۳ مورد دیگر

Anke Schaffartzik is an Assistant Professor and Masters Programs Director in the Department of Environmental Sciences and Policy at the Central European University (CEU). Her research focuses on social metabolism, ecological economics, and material flows, particularly exploring how societal organization and trade patterns influence resource distribution and inequality. She holds a PhD in Social Ecology from Alpen-Adria University and academic degrees in Environmental Management and English Studies. Her work bridges interdisciplinary research in sustainability science, addressing topics like global material inequality, socio-ecological resilience, and the intersections of economic systems with environmental justice. She teaches courses on social metabolism, environmental sociology, and quantitative methods. Recent publications emphasize globalization’s material dimensions and the need for equitable resource management strategies. Key events include her involvement in discussions on planetary boundaries, energy transitions, and inequality, reflecting her commitment to linking theoretical insights with actionable policy frameworks.

• Social Ecology
• Ecological Economics
• Social Metabolism
• +۳ مورد دیگر

Carsten Q. Schneider is a Professor in the Department of Political Science and the Doctoral School of Political Science, Public Policy, and International Relations at Central European University (CEU). He has been a key academic and administrative leader at CEU since 2004, serving as department head (2014–2017), program director for the MA in Political Science (2021–2022), and currently as Pro-Rector for External Relations since 2022, overseeing academic partnerships, communications, outreach, and alumni relations. PhD in Political and Social Science, European University Institute Diploma in Political Science, Free University, Berlin His research and teaching focus on political regime change, democratization in Europe and Latin America, and comparative methodology—especially qualitative comparative analysis (QCA) and set-theoretic methods. He is the author of multiple leading books on QCA published by Cambridge University Press and has published extensively in top journals such as Comparative Political Studies , Political Analysis , and Democratization . His recent publications demonstrate a strong trend toward integrating computational methods—particularly machine learning and automated text analysis—with traditional comparative frameworks. His 2025 article on illiberal leaders uses 38,000+ speeches across 120 countries to show how right-wing strongmen exacerbate inequality. This reflects a broader interdisciplinary shift in his work, combining political theory, methodological innovation, and large-scale data analysis. David Collier Mid-Career Achievement Award, American Political Science Association (2019) CEU Distinguished Teaching Award (2019) Elected Member, German Academy of Young Scientists (2009–2014) As Pro-Rector for External Relations, Schneider leads CEU’s engagement with academic networks, including CIVICA: The European University of Social Sciences, where he chairs the Permanent Design Team. He represents CEU in the Austrian Private Universities Conference (ÖPUK) and serves on internal governance bodies such as the Senate Committee on Strategic Development. He has advised on research transparency standards and promotes open science in qualitative and multimethod research. He has conducted research stays at Harvard University, UC Berkeley, WZB Berlin, and Pompeu Fabra, reflecting his strong international academic network.

• Political Regime Change
• Democratization
• Comparative Politics
• +۷ مورد دیگر

Dr. Dóra Longauer serves as an Assistant Professor at the Department of Management Science within the Faculty of Business and Economics at the University of Pécs, teaching mathematics and operations management in both Hungarian and English language programs. Her academic credentials include: Applied Economics (BSc), University of Pécs, 2011 Economic Analysis (MSc), University of Pécs, 2013 Computer Science, Fernuniversität Hagen, 2020 PhD in Regional Politics and Economics, University of Pécs, 2022 Her research centers on economic network theory applications and corporate value chain modeling, with significant contributions to understanding make-or-buy decisions, learning-by-doing effects in manufacturing, political economy of resource allocation, and film industry spillovers. She integrates quantitative methods from operations research with economic modeling to address complex industrial and policy questions. Recent publications demonstrate interdisciplinary reach across operations research, industrial economics, and political economy, examining semiconductor industry dynamics, manufacturing relocation strategies, Hungarian municipal grant allocation, and film production spillovers. Her work consistently applies rigorous mathematical frameworks to real-world business and policy challenges. No scientific awards are documented in the available materials. Information regarding student advising or research grant acquisitions is not specified in the source text. Details about research laboratories or collaborative teams are absent from the provided documentation.

• Network Economics
• Value Chain Management
• Operations Research
• +۳ مورد دیگر

Emese Schiller is an Assistant Professor at the Institute of Research on Adult Education and Knowledge Management, Eötvös Loránd University. Her work focuses on adult education, language learning in later life, and intergenerational learning dynamics. She leads the Organizational and Work-integrated Learning Research Group and advises via email预约办公 hours. Her research explores learner autonomy development, motivational factors in senior language learning, and the integration of theory and practice in workplace education. Key research areas include: Autonomous learning strategies for older adults Educational technology ethics (e.g., AI tools like ChatGPT) Cross-generational collaboration in higher education Policy analysis for immigrant language integration Her recent work (2023-2025) highlights trends in: Exploring ChatGPT's impact on academic integrity Designing intergenerational learning programs Evaluating one-to-one counseling efficacy for autonomy Analyzing plagiarism perceptions across student cohorts Grants and professional development efforts focus on preparing educators to support aging learners. She contributes to Third Age University initiatives and has published extensively on Hungarian contexts of adult education.

• Adult Education
• Language Learning in Adulthood
• Learner Autonomy
• +۴ مورد دیگر

Levente Seláf, habilitated Associate Professor at Eötvös Loránd University (ELTE), Faculty of Humanities, teaches and researches in the Department of Early Hungarian Literature within the Institute of Hungarian Literature and Cultural Studies. His profile bridges traditional philology and digital humanities, with a strong focus on medieval and early-modern Hungarian, French, German and Italian poetry, versification theory, and large-scale corpus building. Education & Academic Status: Habilitated Doctor (Habil.) – higher doctoral qualification Academic rank: Associate Professor Contact: selaf.levente@btk.elte.hu | +36-1-411-6500/ext.5119 | Room 316, 4th floor, 1088 Budapest, Múzeum körút 4/A Research Interests: Seláf’s work revolves around historical poetics, formulaic style, intertextuality, multilingual text-setting, and computational metrics. He leads corpus-creation projects that digitise and annotate historical Hungarian verse for stylometric and metrical analysis, while simultaneously publishing close readings of medieval French and German texts that shaped images of Hungary in European literature. Publication Trends: Between 2017 and 2024 he averaged three peer-reviewed studies yearly, moving from strictly philological articles to method-oriented papers that combine traditional literary history with digital tools. Recurring themes are epic formulae, rhyme algorithms, East-Central-European imagology, and the interplay of lyric and epic modes in wartime songs. Awards & Grants: No competitive awards or named grants are mentioned in the supplied sources. Doctoral Supervision & Projects: No individual PhD advisees are listed; he currently contributes to the “Plotting Poetry” international working group and heads the “Régi magyar verskorpusz” digital repository initiative. Labs & Teams: He coordinates the Hungarian segment of the Basel-based “Plotting Poetry” consortium and collaborates with the MTMT (Hungarian Scientific Bibliography) metadata service, integrating ELTE’s medieval poetic records into national and European infrastructures.

• Medieval and Early-Modern Hungarian Literature
• Historical Poetics and Versification
• Intertextuality and Formulaic Style
• +۴ مورد دیگر

Orsolya Ring serves as an Assistant Professor at the Institute of Historical Studies, Eötvös Loránd University (ELTE), and as a Senior Researcher at the Institute of Political Science, Centre for Social Sciences, Hungarian Academy of Sciences. She maintains dual institutional affiliations that reflect her interdisciplinary research bridging historical studies, political science, and computational methods. At ELTE, she is associated with the Faculty of Humanities and the Department of Auxiliary Studies of History, while at the Hungarian Academy of Sciences, she works within the Department of Governance and Public Policy. Dr. Ring's research spans quantitative methods, artificial intelligence, text mining, sentiment and emotion analysis, content analysis, and social history with particular focus on the Hungarian socialist era. Her work addresses the challenge of applying computational methods to the morphologically rich Hungarian language, developing specialized tools and datasets for political text analysis. She has created manually annotated sentiment datasets for Hungarian political news (5700 sentences) and fine-tuned language models like HunEmBERT specifically for Hungarian political communication analysis. Her publication trajectory reveals an evolution from foundational work on text mining in R toward increasingly sophisticated AI applications in historical and political analysis. Her recent work focuses on transformer-based models for sentiment classification, multilingual policy topic classification, and geopolitical analysis of media representation. Simultaneously, she maintains significant contributions to cultural and theatre history, examining institutions like the National Theatre and József Attila Theatre within their political contexts during the socialist period. Dr. Ring leads several major research projects including 'Identifying News Slant in Crisis Communication Using Artificial Intelligence' (Visegrad Fund), 'V-SHIFT MOMENTUM' studying shifting global allegiances of Visegrád countries, 'PROMPT' researching misinformation propagation, 'MORES' (Horizon EU) examining moral emotions in politics, and 'PLEDGE' (Horizon EU) investigating politics of grievance and democratic governance. These projects demonstrate her commitment to applying computational methods to pressing questions in political science and historical analysis.

• Quantitative Methods
• Artificial Intelligence
• Text Mining
• +۹ مورد دیگر