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Marja-Liisa Helasvuo is a Professor of Finnish at the University of Turku, where she has served as Head of the Department of Finnish and Finno-Ugric Linguistics since 2015 and Vice-Dean of the Faculty of Humanities since 2017. She also holds the title of Associate Professor at the University of Helsinki. Her research focuses on the syntax of spoken language, oral communication, and the development and use of grammar in interaction, particularly in Finnish and other Baltic-Finnic languages. She has made significant contributions to discourse-based syntax and corpus linguistics. Helasvuo has published nearly 100 scientific publications, edited prestigious journals such as Virittäjä and SKY Journal of Linguistics , and led the creation of the Arkisyn corpus of Finnish spoken syntax. She has supervised 24 doctoral dissertations and led numerous international research projects. She has maintained a long-standing and influential collaboration with linguists at the University of Tartu, contributing to joint seminars, research projects, and the advancement of Estonian linguistics, for which she was awarded an honorary doctorate in 2022. Outstanding Doctoral Thesis Award (1998) Honorary Doctorate, University of Tartu (2022) Member, Finnish Academy of Sciences (2013) She has supervised 24 doctoral students and has been highly active in academic service, including peer review, grant evaluation, and editorial board membership. She has also led international research collaborations and contributed to the development of theoretical and methodological frameworks in linguistic research. Her work has significantly deepened mutual understanding between Finnish and Estonian linguists and increased the visibility of Baltic-Finnic language studies in international linguistics.

• Linguistics
• Syntax
• Spoken Language
• +6 more

Professor Jeannette Littlemore is a leading scholar in Applied Linguistics at the University of Birmingham , specializing in metaphor and metonymy across language learning and cross-cultural communication. She co-chairs the International Organisation Researching and Applying Metaphor and leads a research group on figurative language. Her research focuses on: Metaphor/metonymy in emotional expression and understanding Figurative language in second language acquisition Cognitive and cultural factors in metaphor interpretation Applications to healthcare, climate activism, and workplace communication Recent publications explore topics like: Metaphor’s role in pandemic isolation experiences Figurative patterns in climate activism discourse Cognitive modeling of metaphor variation Emotion-color associations across cultures Selected scientific awards: ESRC grant (2016-2018): £537,225 Marie Curie Fellowship (2015-2017): €183,455 Spanish Ministry grants (2012-2014, 2014-2017): €50k-€73k British Council grant (2010): £2,820 She supervises PhD projects on figurative language pedagogy and cognitive linguistics, teaching modules in: Language Teaching Methodology Second Language Acquisition Cognitive Linguistics Psycholinguistics Her lab collaborates internationally on projects involving: Cross-cultural metaphor analysis Figurative communication in healthcare Iconicity in language

• Applied Linguistics
• Cognitive Linguistics
• Second Language Acquisition
• +3 more

Xiao Li is a Lecturer (equivalent to Assistant Professor) in the Department of Computer Science within the School of Natural and Computing Sciences at the University of Aberdeen. Holding a PhD in Computer Science and an MSc in Artificial Intelligence, Dr. Li is actively engaged in research and teaching, with a focus on AI and machine learning applications. Research Interests: Artificial Intelligence and Machine Learning Natural Language Processing and Generation Time series analysis in domains like language, music, and finance Computational metaphor processing and text modeling Ultrasound image classification and health claim analysis Dr. Li's recent publications (2017–2025) demonstrate a consistent focus on enhancing AI models, particularly variational autoencoders and attention mechanisms, for natural language tasks and multimodal data. The research spans theoretical improvements in latent space manipulation and practical applications in health, dialogue systems, and metaphor cognition in AI vs. humans. Scientific Awards: No awards listed in the provided text. Advising and Grants: Dr. Li is currently accepting PhD students in Computing Science and encourages prospective candidates to reach out with research ideas. While no specific grants or funded projects are mentioned, the consistent publication record suggests active research engagement. There is no explicit mention of students supervised, but advising is implied through PhD recruitment. Labs and Teams: No specific lab or research team name is mentioned in the text. Collaborations are evident with researchers such as Mao, R., Cambria, E., Lin, C., and Van Deemter, K.

• Artificial Intelligence
• Machine Learning
• Natural Language Processing
• +7 more

Inger Schoonderbeek Hansen is an Associate Professor at Aarhus University, affiliated with the School of Communication and Culture and specifically the Scandinavian Studies department and the Peter Skautrup Centre for Jutlandic Dialect Research. Her academic work spans dialectology, lexicography, and sociolinguistics, with a strong regional focus on Jutlandic and Danish dialects. Her research interests include: Language variation and change Traditional dialects and dialect orthographies Descriptive and prescriptive aspects of Danish Language standardization and policy Phonetics and phonology of Danish Scandinavian language history The trends in her recent publications reflect a deep engagement with digital lexicography, dialect preservation, and public linguistics. Her work bridges academic rigor with public communication, evident in projects like the podcast 'På godt jysk' and media contributions explaining dialect features to broader audiences. Her publications span encyclopedia entries, digital humanities projects, and linguistic analysis of regional speech patterns. She has been actively involved in significant research projects, including the long-running Dictionary of the Jutland Dialects and the LexText project, as well as collaborative Nordic initiatives. Her academic service includes peer review, conference organization, and editorial work. She teaches across the Nordic linguistics curriculum and supervises students in her areas of expertise. She is also engaged in public outreach through lectures, media appearances, and hosting academic visitors.

• Dialectology
• Sociolinguistics
• Lexicography
• +15 more

Michael White is a Professor in the Department of Linguistics at The Ohio State University, specializing in computational linguistics, natural language generation, and spoken language dialogue systems. He holds a Ph.D. in Computer Science from the University of Pennsylvania and has collaborated with interdisciplinary teams in both academia and industry, including roles at CoGenTex, Inc., and visiting positions at Facebook/Meta and Australian universities. His research emphasizes controllable and ethical AI, with a focus on neural language models and their applications in healthcare and conversational systems. Education: Ph.D. in Computer Science, University of Pennsylvania. Professional Background: Former Research Fellow at the University of Edinburgh School of Informatics, and founder of CoGenTex, Inc. Collaborations include researchers in Computer Science and Linguistics at Ohio State, such as Eric Fosler-Lussier and William Schuler. Research Interests: Neural language generation controllability, ethical AI alignment, discourse processing, and conversational systems. Recent projects include developing virtual patient simulators for medical education and exploring knowledge distillation to mitigate AI-generated harm. Articles Trends: Focused on advancing neural NLG techniques, improving dialogue system safety, and leveraging large language models for domain-specific tasks (e.g., healthcare, KBQA). Recent work addresses transparency, data efficiency, and ethical implications in AI. Scientific Awards: Lumley Interdisciplinary Research Award (2023), PRE Accelerator Award. Grants: Supported by interdisciplinary initiatives such as the virtual patient project collaboration with Eric Fosler-Lussier and Laura Wagner. Advising and Grants: Mentors students in computational linguistics and leads projects funded by Ohio State’s interdisciplinary programs. Current work involves neuro-symbolic approaches for patient preparation assistants and data-efficient conversational AI. Labs/Teams: Collaborates with the Ohio State Computational Linguistics Group and industry partners. Active in organizing workshops on discourse-driven NLG and ethical AI challenges.

• Computational Linguistics
• Natural Language Generation
• Spoken Language Dialogue Systems
• +3 more

Ana María Cestero Mancera is a Professor at the University of Alcalá, affiliated with the Department of Filology, Communication and Documentation. Her research is centered within the LIVARES research group, focusing on Linguistics of Spatial and Social Variation. Her research interests lie in the domain of General Linguistics, with a strong emphasis on sociolinguistic variation, discourse structures, and interactional dynamics in spoken Spanish. Key areas include conversation analysis, turn-taking mechanisms, pragmatics, and the interplay between language and social factors. The LIVARES research group explores how language varies across geographical and social dimensions, contributing to broader understanding in linguistic theory and applied sociolinguistics. She has supervised academic theses, including doctoral work, though specific advisees are not listed. Her academic training includes a PhD from the University of Alcalá, completed in 1994, with a dissertation titled Análisis de la conversación: alternancia de turnos en la lengua española , supervised by Dr. Francisco Moreno Fernández.

• General Linguistics
• Sociolinguistics
• Variationist Linguistics
• +4 more

Dr Nicolas Navarrete Hernandez is a Lecturer in Economics at City St George's, University of London . His research focuses on Labor Economics , Health Economics , and the Economics of Education . Prior to his current role, he held a postdoctoral research fellowship at the Paris School of Economics and earned his PhD from the University of Warwick . Education: Ph.D. in Economics, University of Warwick (2017) MSc in Finance, University of Illinois at Urbana Champaign (2012) Bachelor of Science in Engineering, Federico Santa María Technical University (2009) Employment History: Lecturer, City, University of London (March 2021 – Present) Postdoctoral Research Fellow, Paris School of Economics (September 2018 – February 2021) Languages: English (proficient in reading, writing, speaking, understanding spoken, and peer review) Spanish (Latin American variant, proficient in all categories)

• Labor Economics
• Health Economics
• Economics of Education

Ian Lane is an Associate Professor in the Computer Science and Engineering Department at the University of California, Santa Cruz's Baskin Engineering school, serving as Program Director for the Natural Language Processing Professional Master's Degree Program. He joined UCSC in Fall 2022 after an extensive career spanning academia and industry. His research centers on computational systems that understand spoken human language, spanning speech recognition, transcription, meaning interpretation, and contextually appropriate responses. Key research areas include: Natural Language Processing for real-world applications Conversational AI systems development Speech-to-speech translation technologies Multimodal interaction (audio-visual integration) Language technologies that learn through real-world interaction His recent publications demonstrate strong focus on hallucination detection in LLMs, tabular data understanding, explainable AI, and robust speech recognition systems. Current work emphasizes "in the wild" language technologies that adapt through user interaction. Dr. Lane has received recognition through impactful industry applications including Jibbigo (the first mobile speech translation app) and military translation systems deployed in Iraq and Afghanistan. He actively mentors students and collaborates across UCSC's Silicon Valley Campus programs including Games and Playable Media and Human-Computer Interaction. His vision includes integrating NLP with virtual environments for language learning and skill acquisition.

• Natural Language Processing
• Speech Recognition
• Machine Translation
• +5 more

Daniela Veronesi serves as Assistant Professor of Linguistics at the Faculty of Education, Free University of Bozen-Bolzano (unibz). Prior to her current position, she conducted research at EURAC Research in Bolzano focusing on Italian and German legal language within the frameworks of text linguistics, cognitive metaphor theory, and foreign language teaching. She also gained international experience as an Italian instructor at New York University and Columbia University. Dr. Veronesi's research centers on social interaction from a conversation analysis perspective, with particular focus on educational and musical contexts. Her work spans multiple dimensions of linguistic interaction including multimodality, multilingual communication, language biographies, radio interviews, and non-professional language mediation. Her research macro-areas encompass languages and multilingualism in South Tyrol, classroom interaction (both face-to-face and online), language biographies, linguistic landscapes, and interaction in music settings. Her publication record demonstrates consistent scholarly output across diverse linguistic contexts. Analysis of her recent work reveals a strong emphasis on conversation analysis methodologies applied to educational settings, particularly examining inclusive education practices and virtual classroom dynamics. Her research increasingly incorporates multimodal analysis to understand how verbal and nonverbal communication intersect in various interactional contexts, from primary education to musical improvisation. Dr. Veronesi teaches courses including Comparative Grammar of Italian and German and Italian Linguistics (lab.) within the Single-cycle Master's Degree in Primary Education Sciences - Italian-language section. Her teaching integrates her research interests in multilingual communication and interactional linguistics.

• Conversation Analysis
• Linguistics
• Multilingual Communication
• +7 more

Justin Royer is an Assistant Professor of Linguistics in the Department of Linguistics and Translation at the Université de Montréal, Faculty of Arts and Sciences. He previously held a Banting Postdoctoral Fellowship at UC Berkeley and earned his PhD in Linguistics from McGill University in 2022 under the supervision of Jessica Coon, Luis Alonso-Ovalle, and Aron Hirsch. Research Interests: Theoretical syntax, semantics, and prosody Mayan languages, especially Chuj (spoken in Guatemala and Mexico) Québec French, particularly negation and clause-typing Language documentation and fieldwork methodologies Linguistic typology and cross-linguistic comparison His research bridges formal linguistic theory and empirical fieldwork, focusing on under-represented Indigenous languages. He investigates how syntactic structures interact with prosody and semantics, with a particular interest in phenomena such as anaphora, definiteness, classifiers, modality, and ergativity. Recent Research Trends: His most recent publications (2022–2025) reveal a strong focus on the interplay between syntax and semantics in Mayan languages, particularly Chuj and Mam. Key themes include animacy hierarchies, binding theory, ergative anaphors, modal indefinites, quantifier interpretation, and the syntax-prosody interface. He also continues to explore expletive negation and clause-typing in Québec French, contributing to the understanding of variation within Romance languages. Scientific Awards: Banting Postdoctoral Fellowship Advising and Grants: While specific advisees are not listed, Justin Royer has co-authored work with graduate students and collaborators such as Cristina Buenrostro, Rodrigo Ranero, and Noah Elkins, indicating active mentoring. His Banting Fellowship—a highly competitive award—demonstrates significant research funding and recognition. His ongoing collaborations and publication record suggest continued grant support and academic leadership. Labs and Research Groups: He is affiliated with research circles and workshops at major institutions, including the Syntax-Semantics Circle at UC Berkeley and the Montreal-Ottawa-Toronto-Hamilton Syntax Workshop. His invited talks at Stanford, UCLA, and the University of Washington reflect active engagement in the broader formal linguistics community.

• Syntax
• Semantics
• Prosody
• +7 more

Ekaterina Chirkova is a Research Officer at the Centre for Linguistic Research on East Asia (CRLAO), a joint research unit of EHESS, CNRS, and INALCO, where she has been working since October 2006. She is affiliated with two research teams: Typology and diachrony of Sino-Tibetan languages in East Asia and Sino-Tibetan and its East Asian context . Dr. Chirkova specializes in Sino-Tibetan linguistics with particular focus on Tibeto-Burman languages spoken in South-West China. Her research encompasses linguistic typology, areal linguistics, and language contact phenomena. She conducts detailed synchronic and diachronic analyses of languages including Tibetan varieties (such as Baima) and Qiangic languages (including Shixing, Lizu, and Duoxu). Additionally, she investigates the semantics and syntax of Beijing Mandarin, contributing to our understanding of both minority languages and dominant language varieties in China. Her extensive publication record demonstrates a strong commitment to documenting endangered languages of the Sino-Tibetan family. Through grammatical descriptions, phonological analyses, and investigations of language relationships, she has significantly contributed to the field of Tibeto-Burman linguistics. Her work often involves collaborative research with Chinese scholars and community members, reflecting a commitment to both academic rigor and practical language documentation. Member of Research Team I: Typology and diachrony of Sino-Tibetan languages in East Asia Member of Research Team III: Sino-Tibetan and its East Asian context

• Sino-Tibetan linguistics
• linguistic typology
• areal linguistics
• +5 more

Dr. Katja Maquate is a Researcher at the Institute for German Language and Linguistics within the Faculty of Arts and Humanities at Humboldt-Universität zu Berlin. She is actively involved in the Collaborative Research Centre (CRC 1412) with a specific focus on project C03: "Real-time register comprehension in adolescent heritage speakers' languages." Her research spans multiple aspects of language processing with particular emphasis on how social context influences linguistic comprehension. Maquate's research interests center around language register processing, examining how formality levels in language interact with syntactic and semantic processing during comprehension. Her work investigates the real-time processing of register congruence effects using eye-tracking methodologies in both written and spoken language comprehension. She explores how contextual formality information rapidly impacts sentence processing, interacts with morphosyntactic knowledge, and influences verb-argument relations. Her research spans multiple methodologies including eye-tracking reading studies, Visual World Paradigm experiments, and self-paced reading tasks to investigate the cognitive mechanisms underlying register processing. Analysis of Maquate's recent publications reveals a consistent focus on the intersection of social context and linguistic processing. Her work demonstrates sophisticated experimental designs that manipulate register congruence alongside traditional linguistic variables like morphosyntactic agreement and verb-argument relations. A notable pattern is her investigation of how context effects unfold over time during sentence processing, with particular interest in whether register effects emerge rapidly or require more processing time compared to traditional linguistic constraints. Her research often compares different presentation modalities (blocked vs. mixed) to understand how comprehenders adapt to shifting social contexts. Maquate actively collaborates with researchers across multiple institutions, frequently working with Pia Knoeferle and other members of the CRC 1412. Her grant-funded research through the Collaborative Research Centre demonstrates significant funding support for her investigations into language register phenomena. While specific grant amounts aren't detailed in the available information, her multiple publications from this research program indicate substantial research support. As part of the CRC 1412 team, Maquate contributes to a larger research infrastructure examining register phenomena across different time periods, languages, modalities, and cultures. Her work represents an important component of this comprehensive investigation into how social context shapes language use and comprehension.

• Language Register Processing
• Psycholinguistics
• Sentence Comprehension
• +5 more

Pushpak Bhattacharyya is a distinguished Professor in the Department of Computer Science and Engineering at the Indian Institute of Technology (IIT) Bombay. He holds the prestigious title of Abdul Kalam National Fellow and is a Fellow of the National Academy of Engineering (FNAE). His academic leadership extends to roles such as Professor Incharge of the IIT Bombay-Monash Australia Academy and Chairman of the MEITY Committee for Indian Language Standards. Professor Bhattacharyya's research spans multiple domains within computational linguistics and artificial intelligence. His work focuses on Natural Language Processing, Computational Linguistics, Machine Learning, Sarcasm Detection, Sentiment Analysis, Multilingual Processing, and Cognitive NLP. He has made significant contributions to Indian language technology, leading NITI Aayog's initiative on creating an Indian Language NLP stack and Virtual Agents. His recent publications reveal a strong focus on multilingual NLP for Indian languages, bias detection in language models, sarcasm and humblebragging detection, mental health applications of NLP, and code generation. His work bridges theoretical advances with practical applications in education, healthcare, and government services. The research demonstrates increasing integration of cognitive aspects with traditional NLP approaches and a growing emphasis on ethical AI considerations like bias detection and cultural competence. FNAE (Fellow of National Academy of Engineering) Abdul Kalam National Fellow Listed among top 10 Machine Learning Researchers in India Listed among most prolific NLP-ML researchers 2012-17 Professor Bhattacharyya has mentored numerous PhD and Masters students who have gone on to make significant contributions in academia and industry. His research has been supported by various grants from government agencies and industry partners, enabling large-scale projects in Indian language technology and NLP. He has led the development of comprehensive NLP resources for Indian languages and has been instrumental in establishing research collaborations between IIT Bombay and international institutions. He leads a vibrant research group at IIT Bombay focused on Natural Language Processing, with active projects in sarcasm detection, multilingual processing, cognitive NLP, and applications of NLP in healthcare and education. His team has developed several notable systems including those for Indian language translation, sarcasm detection, and mental health analysis through text.

• Natural Language Processing
• Computational Linguistics
• Machine Learning
• +6 more

Tianmin Shu is an Assistant Professor in the Department of Computer Science at Johns Hopkins University's Whiting School of Engineering, with a secondary appointment in the Department of Cognitive Science. He directs the Social Cognitive AI (SCAI) Lab and is a member of the Data Science and AI Institute. Dr. Shu's educational background includes: PhD in Statistics, University of California, Los Angeles (2019) BS in Electronic Engineering, Fudan University (2014) Dr. Shu's research pioneers machine social intelligence to build human-centered AI systems. His work integrates: Embodied AI for physical-world human-robot collaboration Neurosymbolic methods for multimodal social reasoning Computational models of human social cognition Theory of Mind frameworks for mental state inference Continual learning for adaptive social agents Recent publications (2024-2025) reveal three dominant research thrusts: (1) Multimodal Theory of Mind systems like MMToM-QA for mental state reasoning, (2) Embodied assistance frameworks such as GOMA for goal-oriented human-robot alignment, and (3) Human feedback learning methods including pragmatic feature preferences. His work increasingly bridges language models with world models while exploring neural correlates of social cognition through fMRI studies. Dr. Shu's scientific contributions have been recognized with prestigious awards: Cognitive Science Society’s 2017 Computational Modeling Prize 2020 NeurIPS Best Paper Award (Cooperative AI Workshop) 2022 IROS Workshop Excellent Paper Award 2024 ACL Outstanding Paper Award (MMToM-QA) As director of the SCAI Lab, Dr. Shu leads research on socially intelligent systems through open-source platforms including VirtualHome 2 (multi-agent household simulator) and SimWorld (photorealistic interaction simulator). His lab develops computational frameworks that enable machines to perceive social dynamics, infer intentions, and provide context-aware assistance in complex environments.

• Machine Social Intelligence
• Embodied AI
• Human-Robot Interaction
• +7 more

Dr. Srikanth Madikeri is a Lecturer and Senior Researcher at the University of Zurich's Department of Computational Linguistics. He holds a Ph.D. in Computer Science from IIT Madras (2013) and a Bachelor of Engineering from Anna University (2008). Before joining UZH, he spent 11 years at Idiap Research Institute as a Postdoctoral Researcher and Research Associate. His research focuses on low-resource speech technologies, including Automatic Speech Recognition (ASR), Speaker Diarization, Language Recognition, and Spoken Dialog Systems. He specializes in adapting models for challenging domains like air traffic control and criminal investigations. Recent publications demonstrate strong trends in multimodal systems, domain adaptation for ASR, and efficient data selection techniques. His work frequently integrates speech processing with NLP tasks and criminal network analysis. Awards: Best Paper Award in Signal Processing Track (NCC 2011) International Create Challenge 2017 Winner He teaches Speech Technology and Machine Learning for Computational Linguistics at UZH. Professional activities include serving as Area Chair for Interspeech (2021-2022) and developing open-source toolkits like pkwrap for LF-MMI training.

• Automatic Speech Recognition
• Speaker Recognition
• Language Recognition
• +3 more