جستجوی استاد راهنمای دانشگاهی

Dr. FARKAS Dávid is an Assistant Professor in the Department of Hydraulic and Water Resources Engineering, Faculty of Civil Engineering, Budapest University of Technology and Economics (BME). His office is located in Building K, basement level, room 12/7, and he holds weekly consultation hours on Mondays from 1–3 pm. Educational contributions include teaching core courses in hydrogeology and groundwater engineering: Groundwater (BMEEOVVMV63) Hydrogeology (BMEEOGMMG62) Infrastructural Design Project (BMEEODHAI41) Research activities concentrate on quantitative hydrogeology, with a special emphasis on karstic groundwater systems, seepage hydraulics, and the safety of flood-protection levees. He couples field investigations in iconic Hungarian cave systems (Buda Castle Cave, Molnár János Cave) with laboratory sandbox experiments and numerical modelling to advance understanding of flow and transport processes in fractured carbonates. Over the past decade his work has evolved from fundamental hydrogeological mapping toward the design and deployment of automated monitoring networks that integrate classical hydrological instruments with modern sensor technologies. This progression is evident in his most recent publications (2024-2025) that document the establishment of high-resolution cave monitoring systems capable of capturing rapid responses to precipitation events. Scientific awards currently listed: none. Advising and grants: no specific student names, grant numbers, or funded project titles are provided in the supplied text. Laboratories and teams: while no dedicated laboratory name is stated, his affiliation with the Department of Hydraulic and Water Resources Engineering implies access to the faculty’s hydraulics and hydro-environmental laboratories, including sandbox and seepage modelling facilities.

• Hydrogeology
• Groundwater hydraulics
• Seepage flow
• +۳ مورد دیگر

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
• +۵ مورد دیگر

Gyula Tankó is a habilitated Associate Professor at the Department of English Applied Linguistics , School of English and American Studies, Eötvös Loránd University . His research focuses on language assessment validity , particularly for advanced-level English exams. Research interests include: Constructive justification of EFL school-leaving examinations Psychometric challenges in reading and listening comprehension assessments Alignment of national language policies with assessment practices Development of analytic rating scales for EAP (English for Academic Purposes) Cognitive processes in L2 listening behaviors Selected publications address topics like: Test fairness and generalizability Impact of punctuation errors on EFL assessment CEFR taxonomy in listening evaluation His work contributes to improving language proficiency certification and university admissions in Hungary. Contact : Email: tanko.gyula@btk.elte.hu Address: Room 430, Eötvös Loránd University, Faculty of Humanities, Rákóczi út 5, Budapest, H-1088

• Language Assessment
• English as a Foreign Language (EFL)
• Educational Testing
• +۶ مورد دیگر

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
• +۷ مورد دیگر

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
• +۳ مورد دیگر

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
• +۱۱ مورد دیگر

Tamás Lovas serves as Associate Professor at the Department of Photogrammetry and Geoinformatics, Faculty of Civil Engineering, Budapest University of Technology and Economics. He teaches advanced courses in Building Information Modeling, Laser Scanning, Remote Sensing, and Intelligent Transportation Systems while supervising diploma theses in Surveying and Geoinformatics Engineering. Education: 1994: High school graduation, Városmajor High School, Budapest 1999: Certified Surveyor and Geoinformatics Engineer, Budapest University of Technology, Faculty of Civil Engineering 2005: PhD (Earth Sciences), Budapest University of Technology and Economics, Faculty of Civil Engineering Research Interests: Dr. Lovas specializes in laser scanning technologies and geospatial data processing with emphasis on airborne and terrestrial point cloud analysis. His work bridges civil engineering applications and computational methods, particularly in infrastructure monitoring and digital representation. Processing, classification, and modeling of airborne laser scanned data Accuracy testing of terrestrial laser scanning Processing and modeling of terrestrial laser scanned data Comparative study of spatial data acquisition technologies His 2022-2025 publications demonstrate accelerating integration of artificial intelligence in point cloud processing, with significant contributions to road surface extraction, urban land cover classification, and BIM automation. Current research trends show strong focus on digital twin development for autonomous vehicles and infrastructure management. Scientific Awards: Republic Scholarship (1998-1999) Karlsruhe Chancellor's Scholarship (1999) ERASMUS scholarship (2000) Korányi Fellowship (2001-2002) János Bolyai Research Scholarship (2008-2011) OHV 1st place (2008) Dean's commendation for ERASMUS committee work (2014) For Students Award - Teaching Department (2017) Advising and Grants: Dr. Lovas mentors students through diploma theses and TDK research projects on topics including object survey with amateur sensors and hull modeling. His research funding includes the prestigious János Bolyai Research Scholarship and international fellowships supporting collaborations with institutions like The Ohio State University. Labs and Teams: As founding member and supervisory board member of the Hungarian BIM Association, he drives industry-academia collaboration. His leadership roles include Deputy Dean of Education at the Faculty of Civil Engineering and responsibility for English language training programs, facilitating international academic exchange.

• Laser Scanning
• Point Cloud Processing
• Geospatial Information Systems
• +۳ مورد دیگر

Brigitta Szabó is a Lecturer at the Department of Developmental and Clinical Child Psychology within Eötvös Loránd University. Her research focuses on parental reflective functioning, adolescent mental health, and psychopathology, with a particular emphasis on questionnaire adaptation and cultural context analysis. She holds affiliations through institutional platforms like MTMT.hu and Doktori.hu. Her work bridges clinical and developmental psychology, addressing topics such as eating behaviors in adolescents, stress management, and quality of life assessment. Institution: Eötvös Loránd University Department: Department of Developmental and Clinical Child Psychology Her research interests include mentalizing processes in youth, attachment theory, and the psychometric evaluation of psychological tools. Recent studies explore parental competence, chronic disease impact on adolescents, and cultural factors influencing eating attitudes. She contributes to both theoretical and applied aspects of child psychology through her publications and methodological adaptations.

• Developmental Psychology
• Clinical Child Psychology
• Parenting
• +۳ مورد دیگر

Dr. Horváth Katalin is an Assistant Professor at the Department of German Linguistics , Institute of Germanic Studies , Eötvös Loránd University . Her academic work spans linguistics, cognitive science, and interdisciplinary studies involving physiotherapy and environmental science. Email: horvath.katalin@btk.elte.hu Address: 1088 Budapest, Rákóczi út 5. Room: 202 Research Interests: Primarily focused on German Linguistics , particularly modal verbs, epistemic modality, and translation studies. Additional contributions include physiotherapy research on systemic sclerosis and cardiorespiratory interventions. Publications Trends: Her work bridges linguistics (modal expressions, translation theory) and health sciences (posture, motor control, systemic sclerosis). Recent articles emphasize interdisciplinary methodologies and longitudinal clinical studies. Affiliations: No explicit awards or grants are mentioned in the scraped text. She has not been listed as advising students in the provided data.

• German Linguistics
• Applied Linguistics
• Cognitive Linguistics
• +۲ مورد دیگر

László Kovács serves as an Assistant Professor at the Faculty of Informatics, University of Debrecen, where he focuses on data science research and development. He is also recognized as an Nvidia Deep Learning Institute Certified Instructor and Ambassador, contributing to the advancement of AI education. His work is prominently featured through the Autonomous Vehicle Research Lab at the University of Debrecen. His primary research interests include Digital Image Processing , Fusion Systems , and High Performance Computing , with particular emphasis on medical applications. Kovács has developed data-driven solutions that address market, industrial, and social demands of artificial intelligence across various sectors including healthcare. His work demonstrates how the Faculty of Informatics at the University of Debrecen prioritizes data science in both educational and research contexts. Analysis of his publication record reveals a strong focus on medical image analysis, particularly in ophthalmology applications. His research consistently applies advanced computational techniques to solve diagnostic challenges in retinal imaging and melanoma detection. The publications show a progression from foundational algorithm development to practical medical applications, demonstrating his commitment to translating theoretical computer science into real-world healthcare solutions. Scientific Awards and Recognition: Ányos Jedlik PhD candidate scholarship of the National Excellence Program (2014-2015) János Csere Apáczai PhD scholarship of the National Excellence Program (2013-2014) Uiversitas scholarship from University of Debrecen (2012) Special prize at XXX-th National Scientific Students' Associations (2012) Prize of the Dean for Masters Students (2010) Kovács has supervised PhD research projects including OTKA NK101680 on melanoma detection and HURO/1001/283/2.3.1 on image-based recommendation systems. His teaching portfolio is extensive, covering High Level Programming Languages, High Performance Parallel Computing Tools, Parallel Image Processing, and Data Science. He has also established thesis topics in distributed programming, fusion systems, high-performance computing architectures, and medical diagnostic applications. His research group maintains an active GitHub presence through the Autonomous Vehicle Research Lab.

• Digital Image Processing
• Medical Image Analysis
• Retinal Image Analysis
• +۷ مورد دیگر

Dr. János Pánovics serves as a Lecturer at the Department of Information Technology, Faculty of Informatics, University of Debrecen. His academic work centers on computer science education and research in programming methodologies, artificial intelligence, and database systems. He actively contributes to the university's educational infrastructure through development of evaluation tools and curriculum design. Research interests span Assembly programming, Functional and multiparadigm programming, Artificial intelligence, and Database security. His innovative work focuses on automatic evaluation systems for programming tasks, particularly the ProgCont platform which utilizes test case annotations to enhance feedback for novice programmers. In AI research, he explores cooperative game theory in incomplete information environments and implements search algorithms using functional programming approaches. Analysis of his 15 most recent publications (2016-2022) reveals three dominant research thrusts: programming education tools (60% of output), artificial intelligence methodologies (27%), and cloud/database technologies (13%). The ProgCont system forms the core of his educational research, with multiple publications addressing error detection, differential education, and gamification techniques. His AI contributions include novel state space representations and game-theoretic approaches, while his technical work extends to Azure cloud applications and database security evaluation. Scientific Awards: No awards or fellowships are documented in available sources. Advising and Grants: Student advising activities and research grant information are not specified in current documentation. Labs and Teams: No laboratory affiliations or research team memberships are indicated in the provided materials.

• Assembly programming
• Functional and multiparadigm programming
• Artificial intelligence
• +۱ مورد دیگر

Dr. Ildiko Schmidt is an Associate Professor at the Károli Gáspár Reformed University , affiliated with the Faculty of Humanities and Social Sciences and the Department of Hungarian Linguistics . Her career spans over two decades, combining academic research with practical applications in language teaching. Education : PhD in Linguistics (2018), University of Pécs MA in Linguistics (2008), University of Pécs Qualifications in Hungarian as a Foreign Language Teaching (2008), Hungarian Language and Literature (2006), and Primary School Teaching (1996) Schmidt’s research focuses on Sociolinguistics (bilingualism, multilingualism) and Teaching Hungarian as a Foreign Language . Her work explores linguistic integration of migrant children, literacy development, and educational methodologies for diverse classrooms. Her publications (15 most recent) emphasize language policy, cross-cultural communication, and practical pedagogical models like the Dual Model. She supervises doctoral students in areas such as Technical Language Communication and Methodological Issues in Hungarian Language Instruction , and has opposed dissertations on bilingualism in Chinese and Roma communities. Schmidt is a Charter Member of KorSzak and Member of MANYE, with C1 proficiency in English and German, and B2 in French.

• Sociolinguistics
• Bilingualism and Multilingualism
• Hungarian as a Foreign Language
• +۴ مورد دیگر

Edina Kiss is a Lecturer at the Institute of Chemistry, Department of Analytical Chemistry, at Eötvös Loránd University (ELTE) in Budapest, Hungary. She serves as a Master Instructor and is affiliated with the MTA-ELTE Research-based Chemistry Teaching Research Group, focusing on pedagogical innovation and plant molecular biology research. Research Areas: Chemistry education, NAC transcription factors in plant stress responses, and biotechnology applications in floriculture. Publications: Her work spans experimental design teaching (2020), plant-pathogen interactions (2014), biotechnology in carnation breeding (2007), and foundational chemistry education (2003-2008). A 1994 paper on Hungarian syntax suggests interdisciplinary expertise. Key Article Trends: Recent publications emphasize pedagogical strategies (e.g., particulate drawings for teaching, stoichiometry problem-solving). Earlier works focus on plant genetics and biochemistry, particularly in carnation cultivars. The 1994 paper on Hungarian syntax highlights a unique intersection of linguistics and cognitive science.

• Chemistry Education
• Plant Molecular Biology
• Analytical Chemistry
• +۱ مورد دیگر

Maria Adorjan is an Associate Professor at the Károli Gáspár Reformed University (Faculty of Humanities and Social Sciences) and a Thesis Supervisor at Pázmány Péter Catholic University. She holds a PhD in Language Pedagogy from Eötvös Loránd University (2016) and an MA in English Language Teaching from Károli Gáspár Reformed University (2010). Her career spans institutions across Hungary, the UK, and international collaborations. Education: PhD (2016) in Language Pedagogy, Eötvös Loránd University MA (2010) in English Language Teaching, Károli Gáspár Reformed University Certified Primary School Teacher (1989), Eötvös Loránd University CELTA Certification (1989), International House London Research & Teaching: Adorjan specializes in Artificial Intelligence in Education , Academic Writing , Corpus Linguistics , and Language Assessment . Her work bridges technology and pedagogy, with a focus on AI applications in writing courses, student self-assessment, and corpus-driven teaching methods. She has designed innovative courses in Business English , English for Tourism , and Technical Writing , often integrating digital tools. Publications & Projects: With 54 independent citations, she authored Lexical Repetition in Academic Discourse (GRIN Verlag, 2019) and co-edited volumes on Artificial Intelligence and Digital Pedagogy (2024) and Corpus Linguistics in Translation (2020). Her recent articles examine AI integration in writing courses and vocabulary strategies. She leads the KRE BTK Methodological Research Group (2022–present) and contributes to interdisciplinary AI-driven projects. Scientific Awards: Teacher of the Year (2021, Károli Gáspár Reformed University) Academic Service: Adorjan mentors PhD students in ESP, curriculum design, and language anxiety. She serves on doctoral defense committees at ELTE and PPKE, and evaluates syllabi policies for US universities. As a member of organizations like EALTA , EATAW , and the Hungarian Academy of Sciences , she shapes language testing and digital education standards.

• Artificial Intelligence in Education
• Academic Writing
• Corpus Linguistics
• +۷ مورد دیگر

Zsuzsanna Konczné Nagy is an Associate Professor at the Department of Foreign Language Teaching and Examination, Institute of Linguistics and Literature, University of Nyíregyháza. With over 30 years of experience in higher education since 1993, she teaches English language courses across undergraduate and master's programs including International Studies, Tourism and Hospitality, and Engineering disciplines. Her educational qualifications include a certification as a secondary school history and English teacher from KLTE in 1993 and a PhD in History awarded in 2006. Her academic career progressed from instructor (1993-2000) to college lecturer (2000-2016) and associate professor (since 2017). Dr. Nagy's research spans English Language Teaching, Applied Linguistics, and Hungarian History. She has developed specialized English curricula for tourism, business, and European Union contexts, and has published historical studies on Szabolcs-Szatmár County agriculture and the Kádár era. Her interdisciplinary work connects language pedagogy with historical scholarship. Analysis of her publications reveals a dual focus: developing e-learning materials for business and tourism English, and researching 20th century Hungarian agricultural and political history. This combination reflects her unique expertise in both language education and regional history. Dr. Nagy has not received any major scientific awards or fellowships. She has actively participated in several significant grant projects: HURO ProLearning (2009-2011): Developed e-learning curricula for general English, tourism English, and business English. Norvég project (2010-2011): Created specialized English language teaching materials. TÁMOP-4.1.2D (2012 onwards): Contributed to comprehensive language teaching development initiatives. EFOP-3.2.24 (2017-2021): Modernized English language teaching at the University of Nyíregyháza through the "NYEW WAY" project. Additionally, Dr. Nagy serves as an oral language examiner in multiple examination systems (ITK Origó, Origó Mono, Gazdálkodó) since 2002 and participated in ERASMUS study trips to Brussels in 2007 and 2008, strengthening her international professional connections.

• English Language Teaching
• Applied Linguistics
• History