جست‌وجوی استاد و پژوهشگر

• Biomechanics
• Structural Mechanics
• Computational Modeling
• +۳ مورد دیگر

Dr. Brigitta Krisztina Tóth is an Associate Professor at the Department of Structural Mechanics, Faculty of Civil Engineering, Budapest University of Technology and Economics (BME). She serves on the Faculty Council and its Education Committee, and holds the communication and marketing officer role within her department. Her research bridges structural mechanics and biomedical applications, with a focus on computational modeling and mechanical testing. Academic Affiliation: Budapest University of Technology and Economics (BME), Faculty of Civil Engineering, Department of Structural Mechanics Leadership Roles: Member of Faculty Council and Education Committee; Communication and Marketing Officer Research Trends: Her publications span biomechanics (brain aneurysms, collagen fibrils), hyperelastic material modeling, fire safety engineering, and interdisciplinary topics like hand hygiene protocols. Recent work emphasizes energetically stable computational methods and statistical evaluation of biological tissues. Key Research Areas: Biomechanics, Structural Mechanics, Computational Modeling, Hyperelastic Materials, Cerebral Aneurysm Analysis Scientific Awards: #építő250 scholarship Teaching: Courses include Material Models in Mechanics , Nonlinear Mechanics , and foundational topics in structural analysis.

• Computer modeling of curves and surfaces
• Constructive and representational geometry
• 3D technologies
• +۳ مورد دیگر

Ildikó Papp is an Associate Professor at the Faculty of Informatics, University of Debrecen , specializing in the Department of Data Science and Visualization . Her academic focus spans geometric modeling , 3D technologies , and experience-oriented teaching methods , bridging theoretical geometry with practical digital applications. Research Interests: Computer modeling of curves and surfaces Constructive and representational geometry 3D printing and visualization Cognitive infocommunication in education Publication Trends: Focus on QR code integration with 3D surfaces (2021-2022) Biomedical applications of FDM printing (2020) Educational impact of 3D technologies (2016-2018) Advancements in Bézier curve isoptics (2012-2013) Optimization techniques in geometric modeling (2012) Contact: Email: papp.ildiko@inf.unideb.hu

Tibor Dessewffyمشاهده پروفایل

دانشیار

• Digital Sociology
• Political Sociology
• Cultural Studies
• +۵ مورد دیگر

Tibor Dessewffy is a habilitated Associate Professor at the Department of Social Psychology within Eötvös Loránd University . His academic roles include positions as a lecturer at the Institute of Social Relations and the Department of Social Psychology . Research Interests: Spanning digital sociology , political sociology , and cultural studies , his work explores intersections between digital culture , political discourse , and societal transformation . Key themes include social media activism , democratic crises , and information society . Email: dessewffy.tibor@tatk.elte.hu

• Biomechanics
• Material Modeling
• Hemodynamics
• +۳ مورد دیگر

Dr. Tóth Brigitta Krisztina is an Associate Professor at the Budapest University of Technology and Economics (BME), Faculty of Civil Engineering, Department of Structural Mechanics. She has been affiliated with BME since 2006, progressing from Teaching Assistant to Adjunct and currently Associate Professor. She serves on the Faculty Council, Committee on Education, and leads Communication/Marketing for the faculty. Education: 2006: BSc Civil Engineering (Bridge/High-Rise Engineering), BME 2008: MSc Health Engineering, BME 2011: PhD, BME Research: Her work spans biomechanics (human eye modeling, biological soft tissues), material science (thermal effects on structures), hemodynamics, and coupled solid-fluid systems. She specializes in fiber-reinforced composites and computational mechanics applied to biological systems. Awards: Republic Scholarship (2003-2006) Halász Ottó Award (2005) Outstanding Teacher of the University (2015, 2020) Teaching: Leads courses in Statics, Strength of Materials, Biomechanics, and Nonlinear Mechanics in Hungarian and English. Currently coordinates Statics and Mechanics 2 . Professional Service: Founding member of the Hungarian Biomechanics Society; editorial board member of Biomechanica Hungarica ; member of the Hungarian Academy of Sciences (MTA).

• Cognitive Psychology
• Experimental Psychology
• Cognitive Neuroscience
• +۷ مورد دیگر

Dr. János György Horváth is a Professor at the Department of General Psychology and Methodology within the Faculty of Humanities and Social Sciences at Károli Gáspár Reformed University. He also serves as a Scientific Advisor and Group Leader at the Experimental Psychology Research Group within the Institute of Cognitive Neuroscience and Psychology at HUN-REN Natural Sciences Research Center. His academic journey includes positions at the Hungarian Academy of Sciences' Institute of Cognitive Neuroscience and Psychology (2008-present), University of Leipzig (2006-2008), and the Hungarian Academy of Sciences' Psychological Research Institute (1998-2006). Horváth completed his PhD in Cognitive Psychology at Eötvös Loránd University in 2002, with his dissertation focusing on acoustic environmental regularities in auditory memory using event-related potential studies. He holds dual MA degrees in Physics and Psychology from the same institution (1997, 2002). His research primarily investigates attention and distraction mechanisms, particularly in the auditory modality, along with action regulation, intentional action, and perception-action interactions. He employs experimental psychology and cognitive neuroscience methods, with a strong emphasis on event-related potential analysis. Horváth has been principal investigator on numerous significant research grants including NKFIH projects on proprioceptive and motor functional brain connectivity during stroke rehabilitation (K 134787), sensory-motor reflections of intentional action (K 128083), and action-induced changes in perceptual processing (K 108783). His publication record shows consistent high-impact output, with research focusing on motor adaptation, action-effect integration, auditory distraction, and the neural correlates of perception-action interactions. Bolyai plakett, Hungarian Academy of Sciences, 2015 János Bolyai Research Scholarship of the HAS (2015-2016) János Bolyai Research Scholarship of the HAS with Bolyai plakett award (2011-2014) Horváth serves as co-editor of Psychophysiology (since 2016) and was associate editor of the Hungarian Journal of Psychology (2012-2017). He has supervised doctoral students including Márta Volosin (ELTE, 2019), Bence Neszmélyi (BME, 2020), Sámuel Varga, and Fanni Dóra Kovács. His research group focuses on experimental approaches to understanding the neural mechanisms underlying attention, distraction, and action-perception integration.

Márton Karsaiمشاهده پروفایل

دانشیار

• Network Science
• Computational Social Science
• Data Science
• +۵ مورد دیگر

Márton Karsai is an Associate Professor and Head of the Department of Network and Data Science at Central European University (CEU). He also serves as a Research Professor at the Rényi Institute of Mathematics (Hungary) and Editor-in-Chief of Advances in Complex Systems . His work focuses on computational social science, human dynamics, and data-driven modeling of socioeconomic systems. Karsai holds advanced degrees including a DSc from the Hungarian Academy of Sciences and an HDR (Habilitation) in Computer Science from École Normale Supérieure de Lyon. His research integrates temporal networks, human mobility, and social contagion phenomena, often using large-scale datasets from digital platforms and wearable sensors. Notable projects include studies on evacuation behavior during disasters, vaccination hesitancy, and urban socioeconomic stratification. Karsai leads interdisciplinary initiatives like the DyLNet project, which examines social interactions and language development in preschool environments through sensor technology. Recent publications highlight innovations in network clustering algorithms (PASCO), epidemic modeling with generalized contact matrices, and the application of machine learning to infer socioeconomic status from satellite imagery. His work bridges computational methods with real-world challenges in public health, urban planning, and humanitarian development.

Laszlo Matyasمشاهده پروفایل

استاد

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

Kristóf Nyíriمشاهده پروفایل

استاد

• Philosophy of Images
• Wittgenstein Studies
• Conservatism Theory
• +۵ مورد دیگر

Kristóf Nyíri is a university professor at the Budapest University of Technology and Economics (BME), Department of Technical Pedagogy, where he maintains an active research and teaching position. With a career spanning over five decades, he has established himself as a leading interdisciplinary scholar whose work bridges philosophy, visual studies, political theory, and digital communication. His institutional affiliation includes coordination of the Budapest Visual Learning Conference series and significant contributions to the field of mobile communication research. Professor Nyíri's research interests form a coherent intellectual trajectory beginning with Wittgenstein studies in the 1970s-80s, evolving through explorations of orality/literacy/post-typography in the 1990s, and culminating in his groundbreaking work on the 'pictorial turn' and visual cognition. His philosophical approach uniquely integrates common-sense realism with conservative political theory, examining how images function as knowledge vehicles in digital society. Recent work has taken a more radical political turn, arguing for what he terms a 'conservative revolution' and 'new intellectual aristocracy' in response to contemporary crises. His extensive publication record reveals several significant trends: a persistent focus on the philosophical foundations of visual representation; an evolving relationship with conservatism theory from academic analysis to political advocacy; and pioneering work on how mobile communication reshapes temporal experience and social interaction. His scholarship demonstrates remarkable breadth across disciplines while maintaining philosophical rigor, with recent publications showing increased engagement with political philosophy following the COVID-19 pandemic. Leibniz Professorship (2006/07) Founding editor of the Perspectives on Visual Learning series Coordinator of the Budapest Visual Learning Conference series since 2011 While specific grant information isn't detailed in the provided texts, Nyíri's work has clearly involved significant research projects, particularly in mobile communication (early 2000s) and visual learning (ongoing). His academic leadership extends to organizing international conferences and editing multi-volume scholarly works that have shaped discourse in visual studies. His philosophical autobiography reveals a career characterized by intellectual independence and willingness to challenge disciplinary boundaries, moving from textual to visual paradigms of knowledge while maintaining Wittgensteinian philosophical foundations.

Zsuzsanna Havasiمشاهده پروفایل

مدرس

• Hungarian Linguistics
• Historical Linguistics
• Sociolinguistics
• +۴ مورد دیگر

Zsuzsanna Havasi is a Lecturer at the Institute of Hungarian Linguistics and Finno-Ugric Studies and the Department of Hungarian Historical Linguistics, Sociolinguistics and Dialectology within Eötvös Loránd University's Faculty of Humanities. Her institutional affiliation highlights a focus on Hungarian language studies across historical, sociolinguistic, and dialectological dimensions. Her research explores: Hungarian linguistics and Finno-Ugric studies with emphasis on historical evolution Metaphor identification methodologies and computational applications Legal language discourse in historical contexts, particularly witch trials and authority structures Sociolinguistic aspects of medieval Hungarian society and gender dynamics Recent publications (2018-2025) demonstrate consistent focus on metaphor analysis, historical text interpretation, and legal linguistics. Works frequently incorporate diachronic perspectives, methodological adaptations for Hungarian language processing, and interdisciplinary approaches combining linguistics with historical jurisprudence.

Jozsef Fiserمشاهده پروفایل

استاد

• Cognitive Science
• Visual Statistical Learning
• Perceptual Decision-Making
• +۵ مورد دیگر

Jozsef Fiser is a Professor in the Department of Cognitive Science at Central European University (CEU), where he serves as Director of the Center for Cognitive Computation. His research bridges human psychophysical experiments, computational modeling, and neurophysiological studies to explore how visual statistical learning shapes internal representations for cognition and behavior. He holds advanced degrees in Psychology (D.Sc., Hungarian Academy of Sciences; Dr. habil., Janus Pannonius University), Computer Science (Ph.D., University of Southern California), and Electrical Engineering (Diploma, Technical University of Budapest). D.Sc. in Psychology, Hungarian Academy of Sciences (2007) Dr. habil. in Psychology, Janus Pannonius University (2004) Ph.D. in Computer Science, University of Southern California (1997) M.A. in Psychology, University of Southern California (1992) Diploma in Electrical Engineering, Technical University of Budapest (1986) His research focuses on hierarchical object representations, active learning, probabilistic computation in the brain, and the link between beliefs and knowledge. Key themes include temporal processing, cross-modal integration, attention, and neural variability during perceptual learning. His work often examines how low-level visual processes (e.g., orientation coding) relate to higher-level cognitive functions. Analysis of his recent publications reveals trends in visual statistical learning , probabilistic inference , and neural sampling as frameworks for understanding cognition. Many studies investigate how uncertainty, memory consolidation, and attention modulate learning across species (humans, honeybees, chicks) and contexts (naturalistic vision, sleep effects). As Director of CEU's Center for Cognitive Computation, Fiser leads interdisciplinary research linking computational models with empirical studies of perception, decision-making, and neural dynamics.

Carolin Hannuschمشاهده پروفایل

مدرس ارشد

• Algebraic coding theory
• Cryptography
• Error-correcting codes
• +۲ مورد دیگر

Dr. Carolin Hannusch is a Senior Lecturer at the Department of Computer Science, Faculty of Informatics, University of Debrecen, Hungary. She holds a B.Sc. (2009) and M.Sc. (2011) in Mathematics from the University of Debrecen, and completed her Ph.D. there in 2015. Her office is located in Room I129 of the Faculty of Informatics building. Her primary research focuses on algebraic coding theory and cryptography , with expertise in error-correcting codes, combinatorial designs, discrete mathematics, and applications in cybersecurity. She also publishes in mathematics education and digital text analysis. Her recent publications demonstrate strong interdisciplinary work across coding theory (e.g., binary self-dual codes, Goppa codes), cryptographic systems (e.g., hash functions, symmetric cryptosystems), and educational technology (e.g., digital text management, online trigonometry instruction). Awards include: Special Price at XXX. Students' Conference Hungary (2011) Universitas Prize for Young Researchers (2015) University of Debrecen's "Thesis of the Year" Prize (2018) She maintains collaborations with researchers across Europe and has presented work at international conferences including FedCSIS, CITDS, and Central European Conference on Cryptology.

• Artificial Intelligence in Education
• Academic Writing
• Corpus Linguistics
• +۷ 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
• Machine Learning
• Brain-Computer Interfaces
• +۵ مورد دیگر

Naomi Du Bois is a Research Associate in Artificial Intelligence and Machine Learning at the Bath Institute for the Augmented Human, University of Bath, affiliated with the Department of Computer Science under the Faculty of Science. Her work bridges AI, neuroscience, and clinical applications to support human augmentation and neurorehabilitation. Research Interests: Her primary research focuses on developing objective neurophysiological markers using AI and machine learning to assess prolonged disorders of consciousness (PDoC). This includes analyzing brain signals such as auditory evoked potentials to differentiate wakefulness and awareness in patients with locked-in syndrome and related conditions. Her work lies at the intersection of biomedical signal processing, cognitive neuroscience, and intelligent systems. The available publication highlights a trend toward applying machine learning techniques to clinical neurophysiology, particularly for improving diagnostic accuracy in non-communicative patients. Her research contributes to the growing field of assistive and augmentative technologies for individuals with severe neurological impairments. Scientific Awards: No awards mentioned in the provided text. Advising and Grants: There is no information available regarding student supervision, grants, or funding roles in the provided content. Labs and Teams: Naomi Du Bois is a member of the Bath Institute for the Augmented Human, a multidisciplinary research center focused on enhancing human capabilities through technology, particularly in health and well-being contexts. The institute emphasizes wearable systems, sensory augmentation, and brain-computer interfaces.

Kálmán Tarrمشاهده پروفایل

مدرس پاره‌وقت

• microcontrollers
• human-computer interfaces
• development environments for artists and designers

Kálmán Tarr serves as an external lecturer at the Design Institute of Moholy-Nagy University of Art and Design (MOME), the same institution where he completed both his Bachelor's and Master's degrees in Media Design. Currently, he is advancing his academic pursuits as a doctoral candidate in Multimedia Arts at the MOME Doctoral School. His educational background includes: Bachelor of Arts in Media Design, Moholy-Nagy University of Art and Design Master of Arts in Media Design, Moholy-Nagy University of Art and Design Doctor of Philosophy (in progress) in Multimedia Arts, MOME Doctoral School Tarr's academic and research endeavors center on the integration of technology and creative practices. His fields of education encompass microcontrollers and human-computer interfaces, while his research specifically targets the development of accessible environments for artists and designers. This focus manifests in his creation of interactive installations and tools that bridge artistic expression with technological innovation, fostering new modes of engagement and creativity. Although no formal advisees are documented, Tarr has successfully secured competitive funding, notably the EU’s Social Challenges Innovation grant for a collaborative project with Makerspace. His scholarly contributions extend to international platforms, with presentations at the Cumulus Conference, Making Futures Conference, and the Disability Studies Conference, alongside global exhibitions of his artistic works such as "Stage of Impossibilities" at the Both Ways exhibition in Trieste and the Hungary Live Festival in New York City. Collaboration is central to Tarr's practice, as evidenced by his partnerships with Makerspace and co-creations like the interactive installation "Alchemy of Knowledge" with Renáta Dezső. His work frequently appears in transdisciplinary contexts, merging art, biology, robotics, and special needs education, reflecting a commitment to socially engaged and inclusive design.

Szilvia Szeghalmyمشاهده پروفایل

مدرس

• Digital Image Processing
• Imbalanced Learning
• Machine Learning
• +۳ مورد دیگر

Dr. Szilvia Szeghalmy is a Lecturer at the University of Debrecen, Faculty of Informatics, Department of Computer Science. She can be contacted at +36 52 512 900 75116 or via email at szeghalmy.szilvia@inf.unideb.hu, located in room I116, floor 1 of the Faculty of Informatics building. Her research focuses on: Digital Image Processing Imbalanced Learning Recent publications highlight trends in: Imbalanced data handling and noise filtering techniques (2024) Medical imaging applications (2024) Driver-assistance systems and traffic sign recognition (2018-2019) Human-computer interaction using sensors (2013-2014)