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Simone FornaraView profile

Professor

• Linguistics
• Italian Language Teaching
• Language Education
• +6 more

Simone Fornara is a Full Professor of Italian Teaching at the University of Applied Sciences and Arts of Southern Switzerland (SUPSI), affiliated with the Department of Education and Learning and the Competence Center for the Teaching and Learning of Italian as a Language of Schooling (DILS). His work focuses on linguistics, Italian language pedagogy, grammar teaching, and educational materials design. Education: Bachelor's Degree in Modern Literature, Faculty of Arts, University of Eastern Piedmont (2000) Doctorate in Linguistic and Literary Traditions, University of Eastern Piedmont (2004) Master's Degree in Research Methodology in Education, University of Trento (2009) His research emphasizes language education, grammar pedagogy, and the use of illustrated books in teaching Italian as a second language. He leads projects like Sgrammit, which revitalizes grammar teaching in Ticino's primary schools, and ITALFABULA SE, which develops workbooks for L2 instruction. His publications span linguistics, education, and didactic strategies. Scientific Awards: National Scientific Qualification for Associate Professorships (2014, 2023) SUPSI Professorship in Italian Teaching (2014) Simone collaborates with institutions like the University of Turin and Polytechnic University of Turin as an Adjunct Professor. He contributes to peer-reviewed journals and has authored numerous books on Italian language education.

• Cognitive Science of Language
• General Linguistics
• Multilingualism
• +5 more

Jon Andoni Duñabeitia Landaburu is a Professor at the Universidad Nebrija's School of Languages and Education, and Director of the Nebrija Research Center on Cognition (CINC) and the International Chair in Cognitive Health. He also holds a Professor II position in the Department of Languages and Culture at the Arctic University of Norway. PhD in Linguistics from Universidad de La Laguna (2009) Director of two major research initiatives Principal Investigator in 10+ externally funded projects Editorial leadership in high-impact journals His research bridges cognitive science and linguistics, focusing on: Multilingual cognition and brain function Virtual reality applications in language research Cognitive training interventions Digital health biomarkers Development of psycholinguistic datasets Environmental effects on language processing Article trends show expertise in experimental linguistics (40%), cognitive neuroscience (30%), and digital health applications (30%), with subfields covering orthographic processing, bilingual decision-making, and immersive technology research. Recent work emphasizes multilingual datasets and VR-based cognitive assessment tools. Scientific Recognition Ranked among top 3% of Spanish scientists (all disciplines) Recognized Spanish experimental psychologist with international impact Over 5700 international citations H-index of 43 (Scopus) Grants & Projects Principal Investigator for BBVA Foundation (2016, 2022) Government of Spain projects (2012, 2015, 2018, 2021) Community of Madrid funding (2019) International collaborative projects across Europe and Asia Basque Government research grants (2012, 2015)

Katherine RehnerView profile

Professor

• Educational Sociolinguistics
• Canadian French
• Discourse Analysis
• +5 more

Katherine Rehner is a Professor in the Department of Linguistics at the University of Toronto’s Language Studies division. Her research focuses on educational sociolinguistics, discourse analysis, and second language proficiency in French, particularly within Canadian contexts. PhD, Second Language Education, OISE, University of Toronto MEd, Language, Culture, & Teaching, York University BA Hons, French, Glendon College, York University BEd, French and Geography, York University Rehner investigates sociolinguistic competence in first and second language speakers of French, emphasizing CEFR-informed teaching methods, cross-cultural communication, and the impact of classroom practices on oral proficiency. Her work bridges theoretical frameworks with practical applications in immersion education. Recent publications examine variation in French grammar acquisition, discourse markers, and the role of teacher-student interaction in language development. She has secured significant grants, including SSHRC Insight and Standard Grants, to study adult migrant language learning and pedagogical reforms. Ministry of Colleges and Universities’ Award of Excellence (Nominated), 2022 SSHRC Insight Grant, Co-investigator, 2020–2025 University of Toronto Mississauga Teaching Excellence Award, 2015 SSHRC Standard Grant, Principal Investigator, 2011–2015 Rehner has led projects on CEFR implementation, French immersion program effectiveness, and sociolinguistic variation in minority-language communities. She teaches courses on second language theory, sociolinguistics, and discourse analysis.

• Blockchain
• Web Mining
• Information Retrieval
• +7 more

Dr. Arnaud Gaudinat is an Associate Professor at the Geneva School of Business Administration (HEG Genève), part of the University of Applied Sciences and Arts of Western Switzerland (HES-SO). He is affiliated with the Economy and Services faculty and primarily works within the Department of Information Science. His educational background includes expertise in information science, with teaching responsibilities spanning multiple programs: MSc HES-SO in Information Science - teaching Data Curation and Information Architecture BSc HES-SO in Management Information Systems - teaching On-chain Analysis BSc HES-SO in Information Science - teaching Web Analytics, Survey Techniques, and Advanced Drupal Content Management BSc HES-SO in Business Economics - teaching Data Analytics and Data 4.0 Dr. Gaudinat's research focuses on the intersection of information science, web technologies, and data analytics. His work spans Web Mining, Information Retrieval, Blockchain applications, and Web Analytics. He has made significant contributions to biomedical text mining, developing systems for dataset retrieval and exploring applications of blockchain in information science. His recent work includes stablecoin taxonomy and using AI for information monitoring. Dr. Gaudinat approaches information science with a practical perspective, often developing tools and methods that address real-world information challenges in both academic and industry contexts. His research output shows a consistent focus on practical applications of information retrieval and text mining techniques, with a growing interest in blockchain technologies and their implications for information management. His most recent publications demonstrate expertise in cross-lingual analysis, stablecoin classification, and AI-assisted information monitoring. Dr. Gaudinat has received research funding from multiple sources including Innosuisse, swissuniversities-P5, and HES-SO. His projects often involve collaboration with both academic and industry partners, reflecting his commitment to bridging theoretical research with practical applications. His current research projects include: Precise Intelligence : Big Data Analytics for comprehensive Global Trade Flow Intelligence INCIPIT : Infrastructure Nationale d'un Complément d'Identifiants Pérennes, Interopérables et Traçables GOES : Global Online Expertise Search, a Web mining project for finding relevant people for specific surveys Dr. Gaudinat's work demonstrates a strong commitment to advancing information science through both theoretical contributions and practical applications that address contemporary challenges in data management and analysis.

• Natural Language Processing
• Argument Mining
• Distributional Semantics
• +6 more

Eva Maria Vecchi is a Natural Language Processing researcher affiliated with the Institute for Natural Language Processing (IMS) at the University of Stuttgart . Her work bridges Computational Linguistics , Distributional Semantics , and Cognitive Modeling , with a focus on Argument Mining , Bias Analysis , and Compositional Semantic Modeling . She actively contributes to NLP methodology development through projects like the DISSECT Toolkit for compositional distributional semantics. Current Affiliation: University of Stuttgart Role: NLP Researcher Collaborations: The Answering Machine Project, COMPOSES Project Research Interests encompass modeling language meaning computationally, with emphasis on: Compositional Distributional Semantics Semantic Embeddings Lexical and Phrasal Semantic Anomalies Machine Learning for Semantic Modeling Argument Quality Assessment Interdisciplinary approaches with Social Sciences Publishing Trends show focus on computational methods for semantic analysis, with recent works on Demographics in Persuasive Forums (2024) Large Language Models for Argument Quality (2024) User-Driven Moderation in Discussions (2024) Argument Map Modeling (2023) Interdisciplinary Argument Assessment (2023) Generative Claim Extraction (2023) Scientific Awards : Honorable Mention for Best Paper Award (EMNLP 2015) Teaching Activities include: "Teaching Methods in Computational Linguistics" (2024/25) "Argument Mining" course (2023) "Modeling Meaning" course at LMU Munich (2020) Tutorial co-organization at EACL 2023 & ESSLLI 2022

Carmen Ibañez VerdugoView profile

Associate Professor

• Spanish Language
• Spanish as a Foreign Language
• Lexical Collocations
• +2 more

Carmen Ibañez Verdugo serves as an Associate Professor in the Department of Philology at the Faculty of Humanities and Communication, Universidad de Burgos, specializing in Spanish Language instruction and research. Her academic credentials include a Doctorate from Universidad de Burgos (2024) with the thesis Las combinaciones frecuentes y colocaciones léxicas en niveles iniciales de Español como Lengua Extranjera (Frequent Combinations and Lexical Collocations in Initial Levels of Spanish as a Foreign Language), supervised by Dr. María Simarro Vázquez. Her research focuses on Spanish as a Foreign Language pedagogy, particularly lexical collocations and teaching methodologies for beginner learners. As an active member of the INFORELE research group ( Grupo de investigación y formación en español como lengua extranjera ), she develops resources for teaching Spanish to non-native speakers with emphasis on practical language structures and curriculum design for foundational proficiency levels. Dr. Ibañez Verdugo supervises graduate theses in Spanish language education, though specific student names aren't documented in available materials. Her work bridges theoretical linguistics with classroom application through the INFORELE group's teacher training initiatives. She contributes to the INFORELE research collective which designs pedagogical frameworks, assessment tools, and instructional materials for Spanish as a Foreign Language programs, operating at the intersection of applied linguistics and educational practice.

Arkaitz ZubiagaView profile

Senior Lecturer

• Natural Language Processing
• Computational Social Science
• Misinformation Detection
• +7 more

Arkaitz Zubiaga is a Senior Lecturer (Associate Professor) at Queen Mary University of London, where he co-leads the Social Data Science lab and serves as Director of Graduate Studies. He is also part of the leadership team of the Centre for Human-Centred Computing. His research sits at the intersection of Computational Social Science and Natural Language Processing, focusing on developing NLP and LLM methods for processing social media and Web data to tackle societal harms. Zubiaga's research interests concentrate on addressing problematic issues with damaging societal effects, including hate speech, misinformation, inequality, biases, and other forms of online harm. He investigates how LLMs can be misused for malicious purposes such as spreading misinformation, generating abusive content, or exacerbating societal biases. His work emphasizes detecting and addressing irresponsible AI use where content is falsely claimed to be human-generated. His publication record shows a clear trend toward addressing bias in detection systems, particularly in cyberbullying detection where swearing bias has been identified as a critical issue. His recent work explores zero-shot and few-shot learning approaches for cross-lingual applications, stance detection, and claim verification. The research spans multiple disciplines including computational linguistics, social computing, and AI ethics, with a growing focus on multimodal approaches and longitudinal model evaluation. 2024 OSNEM best survey award for work on session-based cyberbullying detection Zubiaga actively mentors PhD students, with Peiling Yi recently passing her viva (April 2025) and welcoming new PhD students Alaa Bazaid and Ali Khairallah. He serves as senior area chair for ACL 2025 and leads the HYBRIDS MSCA Doctoral Network. His work demonstrates a strong commitment to developing responsible AI systems that can detect and mitigate online harms while addressing critical issues of bias and fairness in computational approaches.

• Swedish as a Second Language
• Multilingualism
• Literacy Education
• +5 more

Robert Walldén is a Professor in Swedish as a Second Language at Linnaeus University's Department of Swedish and an Associate Professor in Swedish with a didactic focus at Malmö University. His research spans linguistically heterogeneous classrooms, vocational Swedish instruction, and literacy development across primary, adult, and higher education. PhD in Swedish and Didactics (2019), Malmö University Master's in Educational Work (2014), University of Borås Teaching Degree (2009), University of Borås He focuses on second language didactics, genre-pedagogical approaches, and multimodal literacy. His work examines tensions between text structures and subject content in multilingual settings, using systemic-functional linguistics and Legitimation Code Theory. Recent projects include collaborations with Anna Lindholm on school-library partnerships in vulnerable areas and vocational Swedish for adult migrants. His 15 most recent publications (2025-2023) address themes like workplace language practice, intermodal teaching strategies, critical discourse analysis in social studies, graphical models for narrative texts, and curriculum innovations in Swedish as a Second Language. Articles appear in journals such as Journal of Second Language Writing , Linguistics and Education , and Scandinavian Journal of Educational Research . Scientific recognition includes his 2025 appointment as Distinguished University Teacher at Malmö University. He serves on editorial boards for Acta Didactica Norden and Journal of Adolescent and Adult Literacy , and has conducted extensive practice-close collaborations with Swedish municipalities. His teaching emphasizes research methodology and independent projects at Linnaeus University, building on prior experience in course development and supervision at Malmö University. He has led four subject-specific PhD courses, expanding doctoral education in Swedish as a Second Language and multilingualism.

Aneet NarendranathView profile

Teaching Professor

• Computational Linguistics
• STEM Education
• Fluid Dynamics
• +5 more

Aneet Narendranath serves as a Teaching Professor in the Department of Mechanical and Aerospace Engineering within the College of Engineering at Michigan Technological University. With a PhD in Mechanical Engineering-Engineering Mechanics from the same institution, he has established himself as an innovative educator and researcher bridging traditional engineering with computational linguistics and educational technology. His educational background includes a PhD (2013) and MS (2009) in Mechanical Engineering-Engineering Mechanics from Michigan Technological University, and a BE in Mechanical Engineering from Visvesvaraya Technological University. Dr. Narendranath's research spans two primary domains: computational engineering physics and quantitative educational analysis. His engineering work focuses on computational methods in quantum mechanics, molecular dynamics, combustion chemical kinetics, and microgravity fluid physics, particularly studying evaporating liquid films. More recently, he has expanded into computational linguistics, developing open-source models for metadiscourse analysis, large language model frameworks for professional communication assessment, and lexical network methods for topic modeling. His scholarly output reveals a significant shift toward interdisciplinary work combining engineering with educational technology and computational linguistics. The publication trend shows increasing focus on STEM education research, machine learning applications in educational assessment, and discourse analysis, while maintaining connections to his foundational work in fluid dynamics and microgravity physics. Wolfram innovator nomination (2017) R. L. Smith teacher of the year Runner-up (2017-18, 2018-19, 2019-2020) Dean's teaching showcase (2020) Quadruple nomination as finalist for R. L. Smith Teacher of the year Dr. Narendranath has secured significant external funding including NSF #2203025 (2022-2026) for research on interfacial stability in film evaporation in microgravity, and an ASEE Mini-grant #2021-01920-017 for genre analysis of student reflective essays. His teaching philosophy emphasizes metacognitive strategies, active learning, and blended learning environments across courses including Statics, Thermodynamics, Heat Transfer, and Finite Element Methods, receiving consistently positive reviews reflected in his multiple teaching awards. He maintains active GitHub repositories including ComputationalMechanicsPlayGround and CompLing, demonstrating his commitment to developing open educational resources and computational tools for both engineering mechanics and computational linguistics applications.

Pablo RequenaView profile

Assistant Professor

• Child Language Acquisition
• Heritage Language Processing
• Morphosyntactic Variation
• +6 more

Pablo Requena is an Assistant Professor at the Department of Modern Languages and Literatures, University of Texas at San Antonio (UTSA), within the College of Liberal and Fine Arts. His work focuses on Spanish child heritage language acquisition, bilingualism, and morphosyntactic variation. Research Trends: His recent publications (2023-2025) explore syntactic variation in Spanish heritage speakers, differential object marking, copula selection, and the role of input frequency in acquisition. Methodological triangulation across corpus studies and experiments is a recurring theme. Conferences: He has presented at institutions like Penn State University, University of Montana, and UTRGV, addressing topics such as volitional mood selection, DOM variation, and bilingual narrative development. Education & Collaborations: While formal education details are implicit, his collaborations with institutions like the Center for Language Science (Penn State) and Institute for Language Education in Transcultural Context (ILETC) highlight interdisciplinary engagement. Publications: Key articles span journals including Language Variation and Change , Language Learning and Development , and Language Acquisition , with keywords reflecting syntax, acquisition, variation, and bilingualism.

• Serbian Language
• Stylistics
• Morphology
• +7 more

Goran Milashin is an Associate Professor at the Department of Serbian Studies within the Faculty of Philology at the University of Banja Luka. He specializes in Serbian linguistics with a particular focus on stylistics, morphology, syntax, and word formation. His academic work spans both theoretical linguistic analysis and practical applications in contemporary language usage. His research interests encompass the full spectrum of Serbian language studies, with special attention to stylistic phenomena in literary works (particularly those of Ivo Andrić), contemporary media discourse, social media language evolution, and advertising communication. Milashin has developed a distinctive research trajectory examining how traditional linguistic structures adapt in digital environments and new media contexts. Analysis of his publication record reveals a strong emphasis on the intersection of traditional linguistic theory with contemporary communication channels. His work demonstrates consistent scholarly engagement with both the structural aspects of Serbian language (morphology, syntax, word formation) and their practical manifestations in various discourse domains, from literary texts to social media platforms. Recent publications show increasing focus on multimodal communication and the linguistic creativity evident in digital spaces. Active participant in the 'Resources of the Serbian language in contemporary media discourse of the Republika Srpska' research project (2024-2026) Previously contributed to the project focused on Banja Luka's written heritage documentation (2021-2022) Milashin teaches a comprehensive range of courses covering Serbian language structure including Morphology, Syntax, Stylistics, Word Formation, Phonology, and Accentology. His teaching spans both the Faculty of Philology and Faculty of Political Sciences, reflecting the interdisciplinary nature of his expertise. He has supervised numerous academic works and continues to mentor students in Serbian language studies.

• Phonetics
• Speech Synthesis
• Linguistic Disfluencies
• +4 more

Dr. Simon Betz is a Research Fellow at Bielefeld University, affiliated with both the Faculty of Linguistics and Literary Studies and the Center for Cognitive Interaction Technology (CITEC). His primary academic home is within the Department of Linguistics, where he serves as an additional board member and is listed among Research Assistants and Lecturers. His research focuses on phonetic and linguistic aspects of speech disfluencies, particularly hesitations in dialogue systems. Dr. Betz completed his Magister Artium in General Linguistics, English Philology and Medieval History at WWU Münster in 2013, followed by his doctorate at Bielefeld University in 2020 with a dissertation on 'Hesitations in Dialogue Systems.' Since completing his doctorate, he has worked as a PostDoc in the Phonetics Group at Bielefeld University. His research interests center on hesitation phenomena across multiple dimensions: Analysis of disfluencies in natural speech across various languages Evaluation methods for speech synthesis systems Mouse tracking as a methodology for studying cognitive processing during speech Gamification approaches to hesitation research His work demonstrates a strong interdisciplinary approach, bridging linguistics, cognitive science, and human-computer interaction. Analysis of his recent publications (2021-2025) reveals a consistent research trajectory focused on hesitation phenomena across multiple languages and contexts. His work spans theoretical linguistic analysis, experimental methodologies, and practical applications in speech technology. The research shows increasing sophistication in methodology, moving from basic description of phenomena to more complex experimental designs and cross-linguistic comparisons. As a member of Bielefeld University's Faculty of Linguistics and Literary Studies and the Center for Cognitive Interaction Technology, Dr. Betz contributes to the university's strategic research focus on the Socio-Technical World, particularly research on how humans and AI systems communicate in complex environments.

Robert FrederkingView profile

Researcher

• Machine Translation
• Computational Linguistics
• Multilingual Information Processing
• +5 more

Robert Frederking is an Associate Dean for PhD Programs and Chair of the Master of Language Technologies program at Carnegie Mellon University's Language Technologies Institute (LTI), part of the School of Computer Science (SCS). With over three decades at CMU, he holds a PhD in Computer Science , specializing in machine translation and computational linguistics . Education : PhD in Computer Science, Carnegie Mellon University Research Interests : Advancing machine translation for low-resource languages Developing speech-to-speech translation systems (Tongues, NineOneOne projects) Building named entity recognition tools for defense applications Creating translingual information retrieval frameworks Designing multilingual processing architectures Scientific Awards : Allen Newell Award for Research Excellence Leadership & Grants : Principal Investigator for NSF KDI Universal Access project Co-PI for NSF/EU Muchmore project Organizer of JGC60 Celebration Representative to NSF-funded LEAP Alliance Labs & Teams : Founding member of CMU's Language Technologies Institute Contributor to evolution of Center for Machine Translation into LTI Key member of Dolphin Communication Project Participant in AMTA leadership (2004-2008)

• Second Language Acquisition
• Intercultural Communication
• Syntax (Generative Framework)
• +4 more

Dr. Manuela Pinto is an Assistant Professor at Utrecht University's Department of Languages, Literature and Communication, with affiliations to the Institute for Language Sciences and the Dynamics of Youth (DoY) research theme. Her work bridges formal linguistics (Generative Grammar) with applied language education, focusing on second language acquisition, psycholinguistics, and intercultural communication. PhD in Linguistics (Utrecht, 1997) - Thesis: Licensing and Interpretation of Inverted Subjects in Italian MA in General Linguistics (Utrecht, 1991) MA in German Language/Literature (Italy, 1986) Research spans child language development, bilingualism, and societal applications through projects like: Coloring Book - Digital method for assessing language comprehension in children KleurenSchat - Dutch vocabulary assessment tool Nederlands voor Alle Kinderen (NvAK) - Language tracking for newcomer children Community Engaged Learning projects with migrants' organizations Recent publications focus on: Syntactic theory and microcontact phenomena Ecological validity in language testing Aspectual properties in L2 acquisition Intercultural pragmatics in advertising She has received research grants for: Heritage Storytelling projects Bidirectional Storytelling initiatives Additional contributions include: Coordinating typological databases Organizing international conferences (Going Romance, ISB symposia) Founding Growingupbilingual.org information service

• Psycholinguistics
• Pragmatics
• Second Language Acquisition
• +3 more

Natalia Rivera Vera is a postdoctoral researcher at the Institute for Language Sciences (ILS) within Utrecht University's Faculty of Humanities. Her work focuses on language acquisition processes, particularly in multilingual academic contexts. Education: Bachelor's in Hispanic Literature and Linguistics (Pontificia Universidad Católica de Chile, 2009) Master's in Brain and Cognitive Sciences (Universiteit van Amsterdam, 2012) PhD in Language and Communication (Universiteit van Amsterdam, 2024) Her research explores how adults integrate perceptual data with social-pragmatic information during word learning, examining cognitive mechanisms in receptive multilingualism. Key projects include Getting to the CoRe , which investigates communication success in multilingual academic settings. Recent publications highlight her contributions to psycholinguistic models of word learning, including studies on speaker reliability, input consistency, and pragmatic inference. She has presented work at international conferences like CogLing Days and TABU Dag. Scientific Awards: National Scholarship for MA studies (2012) National Scholarship for PhD studies (2018) Natalia has held teaching roles at Universiteit van Amsterdam (2024-2025) and Universiteit Leiden (2021-2023), and contributed to academic community initiatives as a PhD representative.