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Masha KyusevaView profile

Research Fellow

• linguistics
• morphology
• lexical typology
• +7 more

Dr Masha Kyuseva is a Research Fellow at the University of Surrey within the Surrey Morphology Group , working on the Leverhulme Trust-funded project Declining Case: Inflectional Loss in Progress (2021-2024). Her research bridges spoken and sign languages, with a focus on typological analysis. Education PhD in Linguistics (2020) - University of Melbourne & University of Birmingham MA in Computational Linguistics (2014) - Higher School of Economics, Moscow BA in Linguistics (2012) - Moscow State University Research Interests center on: Morphological typology (case systems, classifiers, locative affixes) Lexical typology across physical qualities, body parts, and motion events Sign language structure (russian sign language morphology, size/shape specifiers) Computational applications in distributional semantics and corpus studies Linguistic fieldwork on circassian languages Publication Trends span multiple modalities: 2025 work on slavic case loss, 2022 studies of rsl physical qualities, 2020 morphological analysis of sign language classifiers, and earlier computational linguistics contributions.

• Sign Language
• Interactional Linguistics
• Conversation Analysis
• +7 more

Brittany Mason Arnold is a Lecturer in the Department of International Studies and Interpreting Education at Oslo Metropolitan University, Faculty of Teacher Education and International Studies. Her work centers on sign language and interactional linguistics, with a focus on Norwegian Sign Language (NSL). Research Interests: Her research explores the linguistic and interactional mechanisms of question-asking in NSL, including the role of nonmanual features (e.g., eyebrow movements), manual holds, finger pointing, and palm-up actions. She applies multimodal conversation analysis to understand how questions are structured, responded to, and repaired in natural interactions. Her work bridges linguistics, gesture studies, and Deaf communication practices. The recent publications show a strong trend in interactional linguistics and multimodal analysis , particularly in how syntax, prosody, and embodiment intersect in sign language discourse. She frequently employs multi-method approaches and collaborates with researchers like Lindsay Ferrara and Rein Ove Sikveland. Scientific Engagement: Regular presenter at national and international conferences (e.g., ICCA, De norske interaksjonsdagene, LINNORD). Active in dissemination to both academic and community audiences (e.g., NAV, Signo). Co-authored research reports and peer-reviewed journal articles in Sign Language Studies . Advising and Grants: While no students or grants are explicitly mentioned in the text, her collaborative research output suggests active participation in funded or institutional research projects. She is likely involved in mentoring students through her teaching and research supervision, though specific names are not listed. Labs and Teams: She is associated with research groups focused on Interpreting, Language, and Communication. Her methodological approach aligns with conversation analytic and multimodal interaction research teams, potentially linked to Nordic and international collaborations in linguistics.

Ferran SuñerView profile

Professor

• Technology-based language learning
• Applied cognitive linguistics
• Figurative language across languages and cultures
• +3 more

Prof. Dr. Ferran Suñer is a full Professor at the Université catholique de Louvain (UCLouvain) in Belgium. He holds the Chair in Multilingualism, Interculturality and Language Lab (CU.mil) and is affiliated with the Institute for Language and Communication / Linguistics Research Unit within the Faculty of Philosophy, Arts and Letters (FIAL). His academic work bridges German language pedagogy, cognitive linguistics, and technological innovation in language education. Education: Doctor in German as a Foreign Language and Psycholinguistics (2011), Ludwig-Maximilians Universität München Licencié en philologie allemande (2005), Universitat de Barcelona Research interests focus on technology-enhanced language learning, embodied cognition in language instruction, and cross-cultural metaphor analysis. He develops digital learning scenarios for inclusive education and co-founded the research group Teaching and Acquiring Multilingualism and Multiliteracies (TeAMM) . His work explores how virtual reality, AI, and embodied practices like gesture-based grammar instruction impact second language acquisition. Recent publications (2023-2025) demonstrate trends in AI integration (ChatGPT as learning partner), embodied teaching of German modal verbs, systematic reviews of usage-based language approaches, and cross-cultural studies on metaphor comprehension. He emphasizes mixed-methods research and digital task design to address heterogeneous learning environments. Teaching units at UCLouvain include courses on German language as social practice, didactic research methods, and mixed-methods in applied linguistics.

Shohini BhattasaliView profile

Assistant Professor

• Computational Linguistics
• Neurolinguistics
• Psycholinguistics
• +5 more

Shohini Bhattasali is an Assistant Professor in the Department of Language Studies at the University of Toronto Scarborough, with a cross-appointment in the Department of Linguistics at the St. George campus. She holds a PhD in Linguistics from Cornell University (2019) with a graduate minor in Cognitive Science. Her research focuses on computational neurolinguistics and computational social science, exploring neural mechanisms of language processing and mitigating bias/misinformation through NLP tools. She has held postdoctoral roles at the University of Maryland's Institute for Advanced Computer Studies and Linguistics Department. Education: PhD in Linguistics, Cornell University MA in Linguistics, Cornell University AB in Linguistics, Bryn Mawr College (magna cum laude) Research Themes: Computational Neurolinguistics: Investigates top-down prediction during sentence processing, interaction between linguistic levels and cognitive mechanisms using fMRI/EEG data. Computational Social Science: Leverages topic models and language models to uncover bias/misinformation in social media and public health texts. Grants & Projects: Principal investigator for Data Sciences Institute grant on AI-driven mitigation of harmful social media content (2023). Co-developer of the Le Petit Prince multilingual fMRI corpus (Scientific Data, 2022). Teaching: Courses include Syntax I (LINB06), Computational Methods for Linguistics (JFL1107), and Morphology (LINB10).

Sina ZarrießView profile

Professor

• Computational Linguistics
• Natural Language Processing
• Dialogue Systems
• +5 more

Sina Zarrieß is a Professor of Computational Linguistics at the University of Bielefeld, affiliated with the Faculty for Linguistics and Literature Studies. His research focuses on computational models of language use, with applications in natural language generation, dialogue systems, and language-vision integration. He leads the Computational Linguistics Bielefeld group and collaborates on interdisciplinary projects in ecology, hate speech analysis, and multimodal interaction. Research interests include language model architecture optimization, pragmatic reasoning in generation, and ethical NLP. He actively contributes to workshops such as ACL, EMNLP, and NLP4Ecology, publishing on topics like character-based LMs, gaze-driven hate speech detection, and visualization-oriented dialog systems. His work bridges theoretical linguistics with applied machine learning, emphasizing interpretability and real-world impact. Notable projects include developing BabyLM character-based models, studying gender-inclusive language benchmarks (SlayQA), and creating tools like VIST5 for adaptive visualization dialog. He explores how LMs encode linguistic principles like Maximize Presupposition! and investigates zero-shot learning for novel object categories. Current research trends show a focus on model efficiency (e.g., sentence selection for classification), multimodal grounding (e.g., scene context in visual tasks), and human-AI interaction dynamics (e.g., explanation effects on user perception). Despite prolific publishing, no specific scientific awards are mentioned in the provided materials. Advising and grants are not explicitly detailed, though his extensive co-authorship network indicates active mentoring. The Computational Linguistics Bielefeld group maintains open research directions in visual question answering, poetry generation diversity, and historical hate speech evolution studies.

Dan DuncanView profile

Senior Lecturer

• Language Variation
• Sociolinguistics
• Sociophonetics
• +5 more

Dan Duncan is a Senior Lecturer in Sociolinguistics at the School of English Literature, Language, and Linguistics at Newcastle University. His research focuses on language variation and change, particularly examining relationships between language and place in metropolitan contexts. He holds a graduate degree from New York University and has conducted sociophonetic analysis of St. Louis metropolitan area speakers. Education: Graduate studies completed at New York University. Research Interests: Language variation and change, sociolinguistics, sociophonetics, sound change, morphology, and the interplay of language with urban geography and toponymy. Current studies explore how language reflects and constructs perceptions of place, with emphasis on metropolitan areas and their sociolinguistic dynamics. Publications: Recent work includes analyses of fictional dialogue variation, AI sociolinguistic competence, and computational methods in language analysis. Key themes include verb morphology variation (e.g., preterite-to-participle leveling), toponymy, syntax variation, and urban sociolinguistics. Contact: daniel.duncan@ncl.ac.uk | Website: https://sites.google.com/view/dan-duncan-sociolinguist

Katja ThiemeView profile

Professor

• Gender Studies
• Trans and Non-Binary Identities
• Indigenous Education
• +3 more

Katja Thieme is a Professor at the University of British Columbia’s School of Journalism, Writing, and Media. Her research focuses on intersections of gender studies, trans identities in technology, Indigenous education, and writing pedagogy. She critically examines how facial recognition algorithms perpetuate binary gender assumptions, advocates for integrating Indigenous perspectives into first-year writing courses, and explores ethical challenges in academic freedom and speech policies. Her work bridges rhetorical theory with contemporary issues, such as the socio-technical impacts of AI and the role of metalanguage in teaching. Recent publications emphasize interdisciplinary collaboration to address gaps in representing non-binary identities in computer vision research and fostering inclusive academic practices. Her pedagogical innovations include 'spacious grammar' approaches that empower student agency while addressing colonial histories in academic English. Thieme’s contributions span academic ethics, methodological critiques of Indigeneity in research, and historical analyses of Canadian suffrage movements. She actively engages with public debates on university autonomy, balancing free speech with ethical responsibilities, particularly regarding transgender inclusion.

Anastasiia KryzhanivskaView profile

Academic

• Teaching English to Speakers of Other Languages (TESOL)
• Linguistics
• Writing Center Pedagogy
• +3 more

Anastasiia Kryzhanivska is an Associate Teaching Professor in the English Department at Bowling Green State University (BGSU), part of the College of Arts and Sciences. She specializes in Teaching English to Speakers of Other Languages (TESOL), Linguistics, and Writing Center Pedagogy. Her roles include serving as an ESOL Writing Specialist in The Learning Commons and teaching courses across undergraduate and graduate programs. Dr. Kryzhanivska holds an M.A. in Applied Linguistics (TESOL) from Ohio University, complemented with certificates in TEFL, Computer Assisted Language Learning (CALL), and a B.A. in English Translation from Petro Mohyla Black Sea State University in Ukraine. Her educational journey reflects a strong foundation in language pedagogy and technology integration. Her research focuses on corpus linguistics applications in language teaching, innovative pedagogical strategies for ESOL learners, and professional development for nonnative English-speaking teachers (NNESTs). She emphasizes arts-based approaches, peer review systems, and technology-enhanced learning. Recent work explores identity negotiation among NNESTs and discipline-specific vocabulary acquisition. Key contributions include peer-reviewed articles on tutor-mediated ESOL writing support, preposition instruction via corpora, and cross-cultural media analysis of geopolitical conflicts. She actively presents at TESOL conferences and collaborates on projects addressing critical literacies and multicultural classroom dynamics. Professional memberships include TESOL, reflecting her commitment to advancing language education standards. Her teaching spans foundational writing courses, linguistics for educators, and specialized ESOL curricula, integrating cutting-edge methodologies and student-centered practices.

John GoldsmithView profile

Professor

• Computational Linguistics
• Artificial Intelligence
• Phonology
• +3 more

Dr. John Goldsmith is a Professor in the Department of Computer Science at the University of Chicago, specializing in computational linguistics and artificial intelligence. His research focuses on understanding symbolic representation in natural language and genomic sequences through software development, notably the open-source Linguistica project, which automates morphological analysis in diverse languages like Somali and Swahili. He co-authored *Battle in the Mind Fields* (2019), exploring the epistemology and sociology of linguistic theory development. Goldsmith's work bridges computational models with phonological theory, including autosegmental phonology and dynamic computational networks. His contributions span morphological algorithms, unsupervised learning techniques, and the historical analysis of linguistic thought. His research interests include phonology, computational morphology, and formal language theory, with a focus on integrating big data and visualization tools. Goldsmith’s academic career spans decades, reflected in his mentorship through *The Chicago Guide to Your Academic Career* (2010), which advises scholars from graduate studies through tenure. His teaching emphasizes modern pedagogical methods, such as applying graphs and networks in linguistics education. Goldsmith’s awards and grants are not explicitly listed, but his extensive publication record and leadership in computational linguistics highlight his disciplinary impact. He collaborates across departments, linking computer science with linguistics and cognitive science. His current projects explore interdisciplinary approaches to language structure and the evolution of linguistic theories, maintaining a lab focused on computational linguistics innovations.

• Interactive Data Visualization
• Intelligence Augmentation
• Machine Learning Interpretability
• +3 more

Arvind Satyanarayan is an Associate Professor of Computer Science at MIT, leading the Visualization Group within MIT CSAIL. His research focuses on intelligence augmentation through interactive data visualization, exploring how computational tools can amplify human cognition and creativity while respecting user agency. He holds a PhD from Stanford University, advised by Jeffrey Heer. Key research themes include visualization design tools, machine learning interpretability, accessible visualization for visually impaired users, and behavioral principles for information systems. His work has been recognized with an NSF CAREER Award and a 2024 Alfred P. Sloan Fellowship, alongside best paper awards at CHI and IEEE VIS. Education: PhD in Computer Science from Stanford University (Interactive Data Lab) Notable Achievements: Developed widely-used systems like Altair and Vega-Lite, impactful in data science communities Advising: Mentors over 20 graduate and undergraduate researchers, with notable alumni advancing to faculty roles at Brown CS and Utah CS Recent projects include tactile visualization systems (Tactile Vega-Lite), semi-formal programming frameworks (Pluto), and cultural interpretability of AI models. His lab emphasizes collaboration with diverse stakeholders to ensure inclusive design practices.

John TrueswellView profile

Professor

• Psycholinguistics
• Language Acquisition
• Language Processing
• +6 more

John Trueswell is a Professor of Psychology at the University of Pennsylvania and Co-Director of the Institute for Research in Cognitive Science (ILST). He leads the Language Learning Lab at the Department of Psychology, focusing on real-time language interpretation, acquisition, and processing dynamics. Collaborations with ILST faculty Behavioral experimentation Eye tracking Computational modeling fMRI His interdisciplinary work connects Psychology, Linguistics, and Computer Science through Penn’s MindCORE initiative. Research spans cross-linguistic comparisons, developmental psycholinguistics, and individual differences in normal/clinical populations. Recent publications analyze ambiguity detection, polysemy, event role encoding, and cross-situational learning. His work reveals processing-acquisition interdependencies and cognitive mechanisms shaping language structure. Fellow, Association for Psychological Science (APS) Fellow, American Association for the Advancement of Science (AAAS) Grants: NSF and NIH Dr. Trueswell has mentored language scientists across Psychology and Linguistics, with former advisees now at institutions like NYU, Harvard, and University of Florida. His lab integrates visual and linguistic data to decode moment-by-moment comprehension in children and adults.

• Gaze movement dynamics
• Visual attention modeling
• Virtual reality (VR)
• +2 more

Erwan David is an Associate Professor of Computer Science at Le Mans University's Computer Science Lab, affiliated with the Technology Enhanced Learning team in Laval, France. His work intersects computer science and cognitive sciences, focusing on gaze dynamics and modeling in extended reality environments. Master's in Psychology (2014) Master's in Cognitive Sciences (2016) PhD in Computer Science (2019) Research interests center on gaze behavior analysis in 3D environments, particularly through VR experiments. He developed the Salient360! project for 3D gaze processing and tracking body-gaze interactions in naturalistic scenarios. Recent publications include the Salient360! toolbox (Computers and Graphics, 2024), which focuses on accessible 3D gaze data handling. This work aligns with his research on attention modeling and spatial cognition. Active in open science, with code repositories on GitHub for VR gaze data collection. Collaborates with Melissa Võ's Scene Grammar Lab (2019-2023) and maintains affiliations in both computer science and cognitive science domains.

Hansun Zhang WaringView profile

Professor

• Conversation Analysis
• Classroom Discourse
• Language and Social Interaction
• +5 more

Hansun Zhang Waring is a Professor of Applied Linguistics and TESOL at the Graduate School of Education, Health & Psychology at Teachers College, Columbia University. Her research focuses on language and social interaction, classroom discourse, and communication practices across educational and family contexts. Educational Background: B.A. in English Literature, Beijing University M.A. in TESOL, University of Central Missouri Ed.M. and Ed.D. in Applied Linguistics, Teachers College, Columbia University Waring specializes in conversation analysis applied to educational settings, examining interactional competence, advising practices, parent-child communication, and multimodal discourse. Her work reveals how micro-level interaction shapes learning outcomes and social relationships. She founded and directs the Language and Social Interaction Working Group (LANSI), which organizes monthly data sessions for analytical development and interdisciplinary dialogue about naturally-occurring social interaction in the New York metropolitan area. Scientific Awards: Strage Prize (2014) Waring's research has produced significant publications including edited volumes and methodological guides for language educators. She supervises numerous doctoral students and collaborates with researchers across linguistic and educational domains. Her advising network spans current doctoral candidates like Lauren Carpenter and Sean Hughes, as well as graduates such as Nadja Tadic and Elizabeth Reddington who continue applying conversation analysis principles in academic and institutional contexts.

Janet WilesView profile

Professor

• Human-Centered Computing
• Artificial Intelligence
• Social Robotics
• +5 more

Professor Janet Wiles is a leading academic in Human-Centered Computing at the University of Queensland. She holds a PhD in Computer Science from the University of Sydney and completed a postdoctoral fellowship in Psychology. Her work bridges engineering, neuroscience, and social sciences, focusing on AI-driven technologies for dementia care, social robotics, and bio-inspired computation. She leads multidisciplinary teams developing tools like the Florence communication system and the Discursis analytics platform. Wiles teaches advanced research methods and has pioneered courses in human-centered AI, emphasizing cross-disciplinary collaboration. Her research explores complex systems, visualization, and the ethical integration of technology in healthcare and education. Notable projects include citizen science initiatives studying mycelial networks and AI-driven language technology co-design with Indigenous communities. Education: PhD in Computer Science (University of Sydney), Postdoctoral Fellowship in Psychology Research Interests: Human-Centered AI, Social Robotics, Neurosymbolic Systems, Assistive Technologies, Bio-inspired Computation Key Projects: Florence Project, Lingodroids, RatSLAM, Discursis Her publications span AI ethics, robotics, and computational neuroscience, with a focus on real-world applications. Wiles has contributed to over 200 peer-reviewed articles and actively engages in public outreach through initiatives like Visualising AI exhibitions.

• Cognitive Psychology
• Neuroscience
• Memory Formation
• +5 more

Dejan Draschkow is an Associate Professor at the University of Oxford’s Department of Experimental Psychology and Tutorial Fellow at Brasenose College. His research focuses on understanding how cognition operates during naturalistic behavior, particularly the interplay between memory and attention. He leads the Adaptive Behaviour & Cognition Lab, investigating memory formation across timescales and its guidance of behavior. Key methods include Virtual Reality, EEG, and open reproducible practices. Dr. Draschkow teaches statistical methods and experimental design at both undergraduate and graduate levels, recognized for his 2021 Early Career Excellent Teacher Award. Affiliations include the Oxford Centre for Human Brain Activity (OHBA) and the Wellcome Centre for Integrative Neuroimaging (WIN). Research interests center on spatial cognition, memory representation, and contextual influences on attention. Notable work includes defining scene grammar effects on search efficiency and advocating for methodological rigor in neuroimaging and behavioral research. He collaborates widely, including with the Icelandic Vision Lab on statistical distribution learning and co-authoring consensus papers on visual distraction and BIDS standards. His lab’s infrastructure advocacy extends to promoting XR technologies for enhancing experimental validity. Key Awards: Early Career Excellent Teacher Award (2021), YAVIS Teaching Prize (student-voted) Grants: Supported by Medical Sciences Division Teaching Excellence Award and St John’s College Teaching Innovation Fund Labs/Teams: Adaptive Behaviour & Cognition Lab, Brain & Cognition Lab Future research priorities include sensorimnemonic decision mechanisms and long-term memory’s role in spontaneous behavior. Ongoing projects explore memory usage trade-offs between sensory input and stored representations, with implications for cognitive neuroscience and educational technology.