جست‌وجوی استاد و پژوهشگر

María José Domínguez Vázquezمشاهده پروفایل

استاد

• Lexicography
• Valence Grammar
• Contrastive Linguistics
• +۷ مورد دیگر

María José Domínguez Vázquez is a Professor of German Studies at the University of Santiago de Compostela, Spain. She is a fellow of the Alexander von Humboldt Foundation and leads innovative research in digital lexicography, valence grammar, and multilingual language processing. She is the Spanish coordinator and chair of the governing board of the Erasmus Mundus Master’s program in Lexicography (EMLex), reflecting her prominent role in international academic collaboration. Her research centers on the integration of lexicography with natural language processing and generation, focusing on the development of dynamic, computer-assisted tools for multilingual syntactic-semantic pattern generation. Key projects include the design of three plurilingual language generators— Xera , Combinatoria , and CombiContext —which model noun phrase structures and embed them in full sentences across German, French, and Spanish. These tools exemplify her work in data integration, resource interoperability, and automated lexicographic content creation. The recent publications listed demonstrate a strong trend toward digital, corpus-driven, and computationally enhanced lexicography, with emphasis on multilingualism, semantic representation, and practical applications in language technology. Her work bridges theoretical linguistics with applied computational methods. Fellow of the Alexander von Humboldt Foundation She leads major research projects in multilingual lexicography and automatic language generation and plays a leadership role in the EMLex program, overseeing academic training and international coordination. While specific grant details are not mentioned, her Humboldt fellowship and publication record suggest sustained research funding and institutional support. She has contributed to major edited volumes and peer-reviewed journals in applied and computational linguistics. She is associated with the research group behind the PORTLEX lexicographic portal (http://portlex.usc.gal/) and leads work on integrated digital lexicographic systems. Her team develops tools that combine corpus linguistics, word embeddings, and automatic dictionary generation, fostering innovation in how linguistic knowledge is structured and accessed.

Richard Binneyمشاهده پروفایل

دانشیار

• Semantic Memory
• Cognitive Neuroscience
• Social Cognition
• +۷ مورد دیگر

Dr. Richard Binney is a Reader (equivalent to Associate Professor) in the School of Psychology and Sport Science at Bangor University, specializing in cognitive neuroscience and semantic memory research. His work focuses on understanding how the human brain stores and uses knowledge about people, objects, and words, with particular emphasis on the neural basis of semantic memory and its relationship to social cognition. Binney completed his BSc at the University of Exeter, MSc at the University of Bristol, and PhD at the University of Manchester. He is a Fellow of the Higher Education Academy (FHEA) and serves as an Associate Editor for Cortex journal (starting January 2025) and as Meetings Secretary for the British Neuropsychological Society (since November 2022). His research spans multiple themes including semantic memory organization, social cognition, cognitive communication disorders, and brain connectivity. He employs a multi-method approach combining behavioral measures, brain imaging (fMRI), and non-invasive brain stimulation techniques like TMS and tES to investigate how semantic knowledge is represented in the brain and how it contributes to social interactions. Analysis of his recent publications (2023-2025) reveals a strong focus on social semantics, concrete vs. abstract word processing, semantic hubs in the anterior temporal lobe, and applications to neurological conditions like frontotemporal dementia and Alzheimer's disease. His work demonstrates how semantic memory systems are deeply interconnected with social cognitive processes. The Elizabeth Warrington Prize of the British Neuropsychological Society (2020) Binney teaches undergraduate and postgraduate modules including Brain & Mind (PPP-1005) and Methods in Language & Bilingualism Research (PPP-4008). He supervises PhD students including Irina Giurgea and Beca Mills, and welcomes new students interested in semantic cognition, social cognition, cognitive communication impairment, and brain anatomy/connectivity. He previously led the 'Social Semantics' research project (2020-2022) exploring the meaning underpinning social words. He directs the Conceptual Knowledge and Communication Lab at Bangor University, which investigates the cognitive systems underpinning semantic memory and how they support communicative behavior, with applications to neurological conditions like stroke and dementia.

• Historical Linguistics
• Grammaticalization
• Diachronic Analysis
• +۳ مورد دیگر

Zeltia Blanco Suarez is a Professor of English Philology at the University of Santiago de Compostela, affiliated with the Faculty of Philology and the Department of English and German Philology. She is a member of the VLCG research group (Variation, linguistic change and grammaticalization). Her doctoral thesis (2017), supervised by Dra. María José López Couso, focused on Death-related intensifiers in the history of the English language: grammaticalisation and other processes of language change . Her research interests center on historical linguistics, grammaticalization processes, diachronic analysis of intensifiers (especially 'dead', 'deadly', and 'mortal'), and corpus-based studies of Early Modern English. She has conducted groundbreaking work on the evolution of grammatical structures in Irish English through analysis of the 1641 Depositions corpus and pioneered studies on CLIL (Content and Language Integrated Learning) in primary education. Her publications span over 15 years, consistently exploring lexical semantic change, syntactic evolution, and the interplay between context and language structure. Notable contributions include analyses of the Irish English habitual 'do V' construction and the cognitive mechanisms behind intensifier development. She has also reviewed major works in intensification studies, contributing to theoretical debates in historical linguistics. Blanco Suarez holds no explicitly listed awards but maintains an active research agenda through participation in international conferences and collaborative projects. Her work bridges historical linguistics with contemporary corpus methodologies, offering new perspectives on language change dynamics.

Rocco Tripodiمشاهده پروفایل

پژوهشگر

• Natural Language Processing
• Machine Learning
• Lexical Semantics
• +۳ مورد دیگر

Rocco Tripodi is a Researcher at Ca' Foscari University of Venice's Department of Environmental Sciences, Computer Science and Statistics. He holds a Ph.D. in Computer Science (2015) from the same institution, focusing on game-theoretic models for Natural Language Processing (NLP). His roles include teaching courses such as Deep Learning for NLP, Introduction to Coding, and Database Systems. He has also served as an Assistant Professor at the University of Bologna (2021–2024) and collaborated with labs like Sapienza NLP and the European Centre for Living Technology (ECLT). His research spans NLP, machine learning, and computational linguistics, with a focus on lexical semantics, game theory applications, and ethical AI. Research Interests : His work addresses challenges in lexical semantics, including word sense disambiguation, semantic role labeling, and cross-lingual NLP. He explores game-theoretic frameworks for text analysis and develops tools for cultural heritage (e.g., historical text analysis). Recent projects include evaluating large language models (e.g., ChatGPT), detecting sensitive data in text, and tracing historical biases through diachronic embeddings. Publications : Tripodi's research trends focus on NLP fairness, multilingual models, and historical discourse analysis. Notable contributions include frameworks for abuse detection evaluation (AAA), multilingual semantic role labeling (UniteD-SRL), and diachronic analysis of antisemitic language in 19th-century French texts. His work bridges technical NLP advancements with societal impact, such as ethical AI and cultural heritage preservation. Labs & Collaborations : Active in interdisciplinary projects like ODYCCEUS and Polifonia, he collaborates with institutions to apply NLP to social sciences and humanities. His labs emphasize practical applications, such as transforming text into knowledge graphs (Text2AMR2FRED) and analyzing historical textiles using spectroscopic methods.

• French Philology
• Linguistics
• Syntax
• +۳ مورد دیگر

Mª Dolores Laura Pino Serrano is a full Professor at the Faculty of Philology , University of Santiago de Compostela , affiliated with the Department of Classical, French and Italian Philology . Her career spans over three decades, with a PhD thesis on the evolution of the French article in the 12th and 13th centuries (1990) establishing her expertise in historical French grammar. Educational Background: PhD in French Philology (University of Santiago de Compostela, 1990) Research Group: FRANCION (Francophonie and Hispanic Cultures: Relationships and Pedagogical Implications) Her research focuses on French syntax, verb complementation, syntactic-lexical combinatorics, and pedagogical applications , with recent work (2023) addressing computational processing challenges in nominal groups and methodological approaches to nominal predicates. Earlier studies (2016-2014) explore comparative grammar frameworks, terminological difficulties in minority languages, and cross-linguistic analysis of complement structures. Key trends in her publications include: Historical and modern French grammar Discourse markers and pragmatic functions Computational linguistics applications Terminology in minority languages (Galician-French) Subject-object identification in declarative verbs Cross-linguistic comparisons between French/Spanish/Galician

• Vocabulary
• Corpus Linguistics
• English for Academic Purposes
• +۳ مورد دیگر

Dr. Thi Ngoc Yen Dang is an Associate Professor in Language Education at the University of Leeds’ School of Education, part of the Faculty of Social Sciences. Her research expertise focuses on second language vocabulary learning and teaching, with a particular emphasis on academic and specialized vocabulary, corpus linguistics, and English for Academic/Specialized Purposes (EAP/ESP). She holds a PhD in Applied Linguistics from Victoria University of Wellington (New Zealand) and has extensive international experience in teaching and research. Her career spans roles at Vietnam National University, Hanoi, and Victoria University of Wellington, where she contributed to teacher education and TESOL programs. Notable awards include the Applied Linguistics Association of New Zealand’s Best PhD Thesis (2017) and the Language Learning Early Career Grant (2023). She currently serves on the editorial board of TESOL Quarterly and has reviewed for top journals like Applied Linguistics and Language Learning. Research interests include vocabulary description, assessment, and pedagogy using corpus linguistics. Key contributions include the Academic Spoken Word List (ASWL, 2017) and Hard/Soft Science Spoken Word Lists (HSWL/SSWL, 2018), which provide foundational resources for L2 learners. Current projects explore GenAI’s impact on assessment and the practical applications of vocabulary lists in education. Teaching responsibilities include MA TESOL and Education Research programs. She actively mentors postgraduate researchers and collaborates globally, with invited talks and keynote speeches across Australia, Indonesia, Vietnam, and the UK.

• Terminology
• Lexical Semantics
• Computational Terminology
• +۴ مورد دیگر

Marie-Claude L'HOMME is a Full Professor at the Département de linguistique et de traduction, Université de Montréal. She holds a prestigious membership in the Société royale du Canada (since 2013). Her research focuses on terminology theory, lexical semantics, and computational lexicography, with applications in environmental science, multilingual resources, and Indigenous language preservation. Her academic roles include teaching courses like TRA-6021 (Terminology, Texts and Knowledge) and TRA-6117 (Applied Terminology). She leads major research projects such as 'Le lexique entre humains et machines' and 'Uauitamutau assi', collaborating with institutions like the Observatoire de linguistique Sens-Texte (OLST). Her grants include funding from the CRSH and FRQSC for projects on environmental terminology and lexical frameworks. Her research interests emphasize methodological innovation in terminology encoding, frame semantics, and corpus-based approaches. She has advised over 20 graduate students on topics ranging from Chinese specialized lexicography to climate change terminology. Key publications explore polysemy management, environmental term structures, and Indigenous knowledge systems. Awards: Société royale du Canada membership (2013–) Grants: Led projects funded by CRSH (2023–2026, 2019–2025) and FRQSC Teaching: Courses on specialized terminology and lexicography Her lab contributions include developing resources like DiCoEnviro (environmental terminology) and multilingual dictionaries. Current projects address lexical structures in Innu-Aimun and cross-lingual term alignment.

• Lexicography
• Spanish Language
• Catalan Language Contact
• +۳ مورد دیگر

Marta Prat Sabater is a researcher in the Department of Spanish Studies at the Autonomous University of Barcelona, specializing in lexicography, Spanish language studies, and Spanish-Catalan linguistic contact. She is an active member of the Grup de Lexicografia, Diacronia i ELE (Lexicography, Diachrony and ELE Group) with a substantial research output spanning nearly three decades, including 74 research publications and involvement in 10 major research projects. Her educational background includes: PhD in Philosophy and Letters (Hispanic Philology), Autonomous University of Barcelona (2003) Master's in Language Computational Processing, Autonomous University of Barcelona (1999) Degree in Philosophy and Letters (Hispanic Philology), Autonomous University of Barcelona (1994) Prat Sabater's research focuses on the intersection of traditional and computational lexicography, with particular emphasis on Spanish language variation in Catalonia and historical development of Spanish dictionaries. Her recent work explores morphosyntactic and lexical-semantic contrasts in Spanish-Catalan phraseology, regional varieties of Spanish in Catalonia, and historical aspects of the Royal Spanish Academy's dictionary across different editions from the 18th and 19th centuries. She has made significant contributions to understanding how Catalan influences Spanish lexicon and how these linguistic phenomena can be documented and taught. Her publication trends show a consistent focus on dictionary studies, with increasing attention to computational approaches and digital lexicography in recent years. The research demonstrates strong connections between historical linguistics, regional language variation, and practical applications for language teaching. Prat Sabater has supervised at least 6 research works according to her profile and has been an investigator on numerous research projects funded by Spanish Ministry of Economy and Competitiveness (MINECO), Ministry of Science and Innovation (MICINN), and European Regional Development Fund (FEDER). Her major projects include comprehensive studies of the internal history of the Royal Spanish Academy Dictionary throughout the 19th century, research on Spanish in Catalonia across media, and development of the Hispanic Lexicon Portal. She is an active member of the Grup de Lexicografia, Diacronia i ELE, which focuses on lexicographic research, historical linguistics, and teaching Spanish as a foreign language. Her work contributes significantly to understanding the evolution of Spanish lexicon, particularly in contact situations with Catalan, and to developing digital resources for linguistic research and language education.

Harm Brouwerمشاهده پروفایل

دانشیار

• Neurocomputation of Language
• Neurocomputational Modeling
• Cognitive Science
• +۳ مورد دیگر

Harm Brouwer is an Associate Professor at Tilburg University's School of Humanities and Digital Sciences, within the Department of Cognitive Science and AI. His research focuses on neurocomputational modeling of language comprehension, particularly examining electrophysiological responses such as the N400 and P600 potentials. He explores how these neural markers reflect lexical retrieval and syntactic integration processes during reading and listening. Key research themes include the interplay between surprisal-based expectation and neural correlates of language processing, with applications in computational psycholinguistics and diagnostic tools for neuropsychiatric disorders. His work integrates computational models with neurophysiological data to bridge gaps between theoretical linguistics and cognitive neuroscience. Brouwer has contributed to projects like the 'Normative Range of P600 Morphology' (2025–2027), aimed at developing diagnostic tools for mental health through electrophysiological biomarkers. He has been recognized with the Robert J. Glushko Prize (2015) for his dissertation on cognitive science. His publications span over 15 years, emphasizing the biphasic nature of N400-P600 interactions, computational semantics, and the role of neural networks in linguistic processing. His work often bridges formal semantics with empirical neuroscience, advancing understanding of how language is processed in the brain.

Nataliia Lazebnaمشاهده پروفایل

استاد

• Digital Linguistics
• Data-Driven Learning
• Human-Machine Communication
• +۴ مورد دیگر

Current Role: Education Manager for CHARM-EIGHT Project at ZBL, University of Würzburg (since July 2024). Previously Researcher at TEFL Chair (2022-2024) and Associate Professor at Zaporizhzhia Polytechnic (2007-2022). Holds Habilitation Doctorate (2021) and PhD in Philological Sciences (2021). Education: Habilitation (Zaporizhzhia National University, 2021): "Linguistic and Semiotics of English Digital Discourse" PhD (Donetsk National University, 2021): "Structural/Semantic Features of English Imagery Computer Terminology" Master's (Zaporizhzhia National Technical University, 2007): Philology & Translation Bachelor's (Zaporizhzhia National Technical University, 2006): Philology & Translation Research Interests: Focus on digital linguistics, AI-human communication ethics, data-driven global education, spatial data mapping in pedagogy, and UN SDGs integration in transnational learning. Specializes in TEFL methodology and immersive technologies for refugee education. Key Projects: CHARM-EU Project: Culturally responsive education through visual arts SCIENTIA International: Gender equity initiatives German-Ukrainian Symposiums on bridging linguistic/pedagogical gaps Professional Development: Completed courses in inclusive leadership, innovative hybrid classrooms, and digital humanities mapping (University of Gothenburg, NYU Abu Dhabi, etc.). Labs/Teams: Member of CHARM-EU Project team, Vision Ukraine interdisciplinary network, and WERA IRN committee.

Christof Schöchمشاهده پروفایل

استاد

• Digital Humanities
• Computational Literary Studies
• Quantitative Text Analysis
• +۷ مورد دیگر

Professor Christof Schöch is a leading academic at the University of Trier and co-director of the Trier Center for Digital Humanities (TCDH) since 2017. He co-edits the Journal of Computational Literary Studies (JCLS) and has held significant leadership roles including chair of the German-speaking Digital Humanities Association (DHd 2018–2022) and president of the Alliance of Digital Humanities Organizations (ADHO 2023–2024). Completed doctorate in French Literature (binational Kassel/Paris, 2008) Thesis: La Description double dans le roman français des Lumières 1760-1800 Degree: Romance Languages, English, Psychology Schöch's research focuses on Computational Literary Studies , particularly statistical text analysis , data modeling , and quantitative methods applied to French Enlightenment literature and modern/contemporary French novels . He champions Open Science practices including open access, open data, and open source software. His work also intersects with digital publishing , copyright issues , and reproducibility in Digital Humanities . Recent publications highlight trends in multilingual stylometry , LLM applications , and historical data modeling . Notable contributions include the European Literary Text Collection (ELTeC) and MiMoTextBase RDF dataset. His academic awards include the 2010 Prix Germaine de Stael for his dissertation. Schöch actively develops digital infrastructure through projects like Wikibase instance for academic activity tracking and coleto text collation software. He participates in international collaborations such as the Text+ AG Legal and Ethical Issues and CLS INFRA infrastructure project. His teaching includes Advanced Digital Humanities courses on law and digital humanities and data analysis methods.

Maxim Koncaمشاهده پروفایل

پژوهشگر

• Computational Linguistics
• Simulation-Based Learning
• Virtual Reality
• +۳ مورد دیگر

Maxim Konca is a researcher at Goethe-Universität Frankfurt am Main, actively contributing to computational linguistics and educational technology. He is affiliated with the Va.Si.Li-Lab, a simulation-based learning environment focused on multimodal interaction analysis. Research Interests Publications Team Members His research spans several key areas: Simulation-Based Learning : Development and application of virtual reality systems like Va.Si.Li-Lab for studying social interaction patterns in educational contexts. Critical Online Reasoning : Analysis of information evaluation strategies among young professionals across medicine, law, and teaching domains. Multimodal Communication : Quantification of speech, body movements, and gestures in conflict resolution scenarios. Language Technology : Construction of German semantic role labeling datasets and cross-linguistic comparisons. Group Creativity : Evaluation of human and AI dialogic interactions through entailment analysis and semantic embeddings. Recent publications demonstrate his focus on VR-based educational technologies, with 2025 work showing advancements in task context prediction and multimodal pattern analysis. His 2024 contributions include hybrid approaches for visualizing critical online reasoning structures and measuring group creativity in dialogic systems. Earlier work established foundational datasets and models for German language processing (2021) and cross-domain information bias analysis (2020). Collaborates with Alexander Mehler, Giuseppe Abrami, Christian Spiekermann, and other multidisciplinary researchers across Germany. His work consistently bridges computational linguistics with educational science, emphasizing practical applications in immersive learning environments.

• Database Systems
• Machine Learning
• Graph Theory
• +۳ مورد دیگر

Shuai Ma is a researcher at Beihang University , School of Computer Science and Engineering, China. His work spans database systems , machine learning , and natural language processing , focusing on temporal knowledge graphs, graph neural networks, and privacy-preserving federated learning. He received his PhD from the University of Edinburgh , UK, in 2011. Research interests include graph theory , spatiotemporal data analysis , data mining , and anomaly detection . His recent publications address: 2025 : Technology mapping for ASICs, temporal network motifs, and 3D geometry compression. 2024 : Knowledge graph completion, scene mining for e-commerce, and secure aggregation for federated learning. Article trends reveal expertise in graph neural networks , temporal data processing , and privacy-aware systems . Collaborations with institutions like Concordia University and industry leaders underscore his interdisciplinary impact.

Arash Aryaniمشاهده پروفایل

پژوهشگر ارشد

• Cognitive Neuroscience
• Psycholinguistics
• Affective Science
• +۳ مورد دیگر

Dr. Arash Aryani is a Research Fellow at University College London's Department of Biological Psychology and Cognitive Neuroscience, supported by the DAAD PRIME Fellowship. His work bridges cognitive neuroscience, psycholinguistics, and affective science through neurocognitive analyses of language processing. Education: PhD in Cognitive Neuroscience (2018, Freie Universität Berlin) Research focuses on how sound and meaning interact in language processing, particularly in affective contexts. Key areas include phonological iconicity, semantic integration, and neural responses to emotional coherence. His work employs ERP studies, brain imaging, and computational modeling to explore these phenomena. Recent publications examine sound-meaning integration in taboo language, affective iconicity in poetry, and neurocognitive models of bilingual processing. The DAAD PRIME Fellowship supports his interdisciplinary investigations into affective language processing and its neural correlates. His collaborative studies span emotion description analysis, poetic text assessment, and phonological saliency studies. The department's affiliation with UCL positions him at the intersection of cognitive neuroscience and advanced linguistic analysis.

Evangelos H. Papakitsosمشاهده پروفایل

مدرس

• Natural Language Processing
• Digital Humanities
• Systems Science
• +۶ مورد دیگر

Dr. Evangelos H. Papakitsos serves as a Lecturer in the Department of Industrial Design and Production Engineering at the University of West Attica. A physicist by training (National & Kapodistrian University of Athens, 1987), he holds advanced degrees in Information Systems (University of Liverpool, 1992) and Informatics (National & Kapodistrian University of Athens, 2000), with postdoctoral specialization in Semantic Lexical Databases. His academic journey spans four higher education institutions since 1993, including National Technical University of Athens and National & Kapodistrian University of Athens. His research spans interdisciplinary domains at the intersection of technology and humanities, with primary focus on Natural Language Processing , Digital Humanities , and Systems Science . Key research thrusts include computational linguistics for ancient scripts (particularly Linear A and Indus Valley), energy harvesting systems, environmental physics applications, and robotics for defense and environmental monitoring. His recent publications (2021-2025) demonstrate strong activity in nanotechnology applications for water purification, unmanned vehicle systems, and computational approaches to linguistic decipherment. Dr. Papakitsos has developed significant expertise in bridging engineering disciplines with humanities through his work on: Machine-readable dictionaries for ancient scripts Energy harvesting applications in civil infrastructure Computational analysis of historical linguistics Environmental monitoring robotics His laboratory work centers on Electronic Automation, Telematics and Cyberphysical Systems, reflecting his systems-oriented approach to complex interdisciplinary problems. Teaching responsibilities include undergraduate courses in General Physics, Optimization Methods, and Fluid Mechanics, plus postgraduate instruction in Automation Information Systems, Energy Management, and Unmanned Systems within the "Unmanned Autonomous and Remotely Piloted Systems" program. His educational background in career counseling informs interdisciplinary approaches to curriculum development, particularly evident in his work on the systemic evaluation of tourism marketing strategies during the pandemic.