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Hanny den Ouden serves as an Assistant Professor in the Language and Communication section of the Department of Languages, Literature and Communication at Utrecht University's Faculty of Humanities. She is actively involved in teaching undergraduate and graduate programs including Communication and Information Sciences (BA), Communication and Organization (MA), Dutch Language and Culture (BA), and Language and Cultural Studies (BA). Her office is located in the Transcomplex building at Utrecht University. Dr. den Ouden's research spans multiple dimensions of language and communication, with particular expertise in prosody analysis, text structure, and the application of linguistic principles to advertising, social media, and health contexts. Her work demonstrates a sophisticated understanding of how language functions in various communicative situations, from traditional advertising to digital customer interactions. She has made significant contributions to understanding conversational human voice in webcare, emotional responses to advertising, and narrative techniques in health communication. Her publication record reveals a clear progression from foundational linguistic research to increasingly applied communication studies. Early work focused on prosodic realization of text structure and discourse analysis, while more recent publications address practical applications in social media management, webcare interactions, and health communication. This trajectory reflects both theoretical depth and practical relevance across multiple communication domains. As a dedicated educator, Dr. den Ouden teaches courses including Communication and organizations: theory and practice, Corpora and tools in Dutch studies, Introduction to language and communication, and Patient communication. Her teaching appears closely aligned with her research interests, creating a cohesive academic profile that bridges theory and practice in language and communication studies.

• Language and Communication
• Prosody and Speech Analysis
• Text Structure Analysis
• +6 more

Mark Steedman is a Professor of Cognitive Science at the School of Informatics , University of Edinburgh, and an Adjunct Professor in the Department of Computer and Information Science at the University of Pennsylvania. His research bridges Artificial Intelligence , Cognitive Science , and Computational Linguistics , with a focus on Combinatory Categorial Grammar (CCG) , Prosody and Intonation , and Temporal Semantics . He has led the Institute for Language, Cognition, and Computation and contributed to interdisciplinary research at the Human Communications Research Center and Centre for Speech Technology Research . Research Interests : Steedman's work explores the intersection of formal grammar, computational models, and cognitive processes. He investigates how CCG parsing can enhance semantic inference, how prosodic features improve speech processing, and the role of temporal semantics in language understanding. His projects often integrate language models with entailment graphs for question answering and dialogue systems. Scientific Awards : Fellow of the American Association of Artificial Intelligence (1993) Fellow of the Royal Society of Edinburgh (2002) Fellow of the British Academy (2002) Member of Academia Europaea (2006) Best Paper Awards at ACL 2023 and AACL/IJCNLP 2023 Influential Paper Award (IFAAMAS 2017) Recent Trends in Publications : His recent work emphasizes language models for semantic inference , entailment graphs in multilingual settings, and incremental parsing for brain-language interfaces. Papers address challenges in hallucination , cross-lingual transfer , and prosody-text alignment .

• Computational musical analysis
• Computational linguistics
• Combinatory logic
• +6 more

Benoit Favre is a Full Professor (PR, Section 27) at Aix-Marseille University and its engineering school Polytech Marseille since 2021. He leads the Data Science axis at the Laboratoire d'Informatique et Systèmes (LIS, CNRS UMR7020), encompassing research teams in NLP, machine learning, and multimodal processing. He completed his HDR (habilitation) in 2019 and serves as co-head of the multimodality group in the CNRS GdR on NLP. His research focuses on Natural Language Processing with machine learning, including semantic content analysis, multimodal system fusion, and technology evaluation in realistic applications. He teaches advanced machine learning for NLP at the Master IAAA program and organizes the ILCB Summer School. The 15 most recent publications highlight trends in Vision-Language Transformers , biomedical classification, historical domain adaptation, and cross-modal analysis. These works span from 2020 to 2024, with particular emphasis on multimodal representations, semantic parsing, and robust NLP systems. Scientific Awards : Best paper at TALN 2011 Ranked 1st in PERCOL consortium (REPERE 2013-2014) Ranked 1st in TAC 2008 and 2009 Benoit is also deeply engaged in community service, having organized major conferences like IEEE SLT 2010, SLAM 2013, and TALN 2014. He serves on scientific committees for selection of PhD grants and faculty positions. Office location: University library building (Luminy campus), second floor, office C207

• Natural Language Processing
• Machine Learning
• Multimodal Systems
• +5 more

Gediminas Navickas is a Lecturer at Vilnius University's Institute of Data Science and Digital Technologies (DMSTI) within the Faculty of Mathematics and Informatics, specializing in the Image and Signal Analysis Group. His work bridges academic research with practical applications in Lithuanian language technologies. His primary research focuses on automatic Lithuanian speech recognition, speech signal processing, speech synthesis methods and algorithms, and speech synthesis quality assessment. Navickas has made significant contributions to developing speech technologies specifically for the Lithuanian language, addressing the challenges of resource scarcity compared to more widely spoken languages. His work demonstrates strong interdisciplinary connections between computer science, linguistics, and cognitive science. Navickas's publication record reveals a consistent trajectory of innovation in speech technology, with recent work emphasizing cognitive approaches to evaluating synthetic speech, particularly examining differences in perception between blind and sighted users. His research has evolved from foundational work on neural network architectures for speech synthesis to comprehensive studies on speech corpus development and accessibility applications. He has been instrumental in major EU-funded projects including the LIEPA series (2013-present), which have developed comprehensive speech recognition and synthesis systems for Lithuanian. These projects have produced practical applications ranging from educational robots to voice-controlled mobile services and assistive technologies for the visually impaired. Member of Lithuanian Computer Society (LIKS) Council Member of IEEE organization Active participant in COST actions including UniDive and Multi3Generation Navickas regularly engages with the public through media appearances on LRT radio and television, where he explains complex speech technology concepts to general audiences. His science communication efforts demonstrate a commitment to making technical research accessible and relevant to Lithuanian society.

• Speech Recognition
• Speech Synthesis
• Signal Processing
• +5 more

Daniel Bermuth is a Researcher at the Chair of Software Engineering within the Institute for Software & Systems Engineering at the University of Augsburg . His work focuses on the intersection of Machine Learning and Collaborative Robotics , with a particular emphasis on Software-driven Robotics and Automation . Education Master in Computer Science (2017-2020), University of Augsburg Bachelor in Computer Science (2014-2017), University of Augsburg Research Interests Development of AI-based safety mechanisms for human-robot collaboration Real-time human pose estimation using RGBD imaging and voxel fusion techniques Efficient spoken language understanding architectures via n-grams, tries, and finite state transducers Privacy-aware voice assistants operating in offline environments Fast speech-to-text models for multilingual applications Publications demonstrate expertise in Robotics , Artificial Intelligence , Computer Vision , and Natural Language Processing . Key subfields include Human-Robot Interaction , 3D Pose Estimation , Speech Recognition , Privacy-preserving AI , Efficient Parsing Algorithms , and Multilingual Language Models . Laboratory Works within the Institute for Software & Systems Engineering under Prof. Dr. Wolfgang Reif Active in developing software solutions for robotics and speech processing

• Machine Learning
• Collaborative Robotics
• Software-driven Robotics
• +5 more

Sussi Olsen is an Academic Research Staff member (Researcher) in the Department of Nordic Studies and Linguistics at the University of Copenhagen, employed at the Center for Sprogteknologi (CST) since 1997. Her work centers on developing and validating linguistic resources for language technology applications. Education: Masters degree in Spanish and Computational Linguistics, University of Copenhagen Her research spans technological language resources, morphological/syntactic/semantic annotation, computational lexicography, corpus linguistics, and resource validation. She specializes in Danish language processing and EU-level language technology infrastructure, with expertise in historical Danish (19th century) and multilingual resource integration. Her work bridges theoretical linguistics and practical NLP applications. Recent publications (2023-2025) reveal a strategic focus on semantic resource development for Danish, including formal lexicons (COR.SEM), language model evaluation frameworks, and sign language-spoken language integration. These works demonstrate convergence between lexical semantics, benchmarking methodologies, and European language equality initiatives, particularly through EU-funded projects like the European Language Equality agenda. She actively contributes to EU language technology projects including the Central Word Register for Danish (COR), European Language Grid, Federated TermBank, and ELEXIS. Her project portfolio shows sustained engagement with terminology management, semantic annotation standards, and resource validation since 2008. She has presented extensively on historical Danish language processing and semantic annotation methodologies. Olsen is affiliated with the Center for Sprogteknologi and participates in the DigHumLab project. She holds governance roles as Member of the Board of Representatives and Board of Directors of the Danish Language Council, and formerly chaired the Society of Lexicographers in Denmark.

• Computational Linguistics
• Corpus Linguistics
• Lexicography
• +3 more

Marta Urszula Chyb-Winnicka is an Assistant Professor at the University of Opole, working at the Institute of Polish Language and Culture Studies. She holds a doctorate obtained in 2021 and specializes in linguistics, with a particular focus on Polish language didactics both as a native and foreign language. Her research interests primarily revolve around effective listening skills development in language education. Key areas include: Diagnosis and prophylaxis of effective listening in Polish as a native language Active listening skills development in multilingual educational environments Textual mediation in teaching Polish as a second language Development of interactive skills through listening activities Listening comprehension in primary and secondary education Dr. Chyb-Winnicka has published extensively on these topics, with a monograph titled "Effective listening in Polish as a native language – diagnosis and prophylaxis" (2024) being one of her major contributions. Her research shows a consistent focus on practical applications of listening skills in educational settings, with particular attention to diagnostic methods and teaching techniques that enhance students' auditory perception abilities. She has analyzed numerous textbooks and curricula to understand how listening skills are developed across different educational stages. Her scientific achievements include 18 publications and a ministerial score of 571, though her h-index remains at 0 according to both Scopus and Web of Science citations. This may reflect the relatively recent completion of her doctorate in 2021 and the specialized nature of her research within the Polish academic context. Dr. Chyb-Winnicka actively contributes to the field through empirical research involving primary school students, with studies examining listening skills in fourth graders and eighth graders. Her work bridges theoretical linguistics with practical language teaching methodologies, making significant contributions to Polish language education pedagogy.

• Linguistics
• Polish Language Didactics
• Effective Listening
• +3 more

Vitoria Piai is a Principal Investigator specializing in language function and dysfunction at the Donders Institute for Brain, Cognition, and Behaviour, Radboud University in Nijmegen, Netherlands. With over 135 publications and 2,595 citations, her research focuses on the neural mechanisms underlying language production using electrophysiological methods including EEG and MEG. Dr. Piai's research interests center on speech production, particularly examining the temporal dynamics of lexical and phonological processing. Her work investigates how brain oscillations relate to different stages of speech planning, how cognitive control mechanisms operate during language production, and how language networks adapt following brain damage. She employs various paradigms including picture-word interference, context-driven word production, and sentence comprehension tasks to explore these questions. Analysis of her recent publications (2024-2025) reveals consistent focus on neural oscillations during speech production, particularly examining alpha and beta band activity. Her work increasingly bridges cognitive neuroscience with clinical applications, investigating language production in aging populations, individuals with aphasia, and those with neurological conditions. She frequently employs multimodal approaches, combining behavioral measures with electrophysiological recordings to provide comprehensive insights into language processing. Dr. Piai has established significant research collaborations across institutions, particularly with colleagues at Radboud University, University of California Berkeley (where she completed postdoctoral work), and various clinical centers. Her work contributes to both theoretical understanding of language production mechanisms and practical applications for language assessment and rehabilitation.

• Cognitive Neuroscience
• Language Processing
• Electrophysiology
• +5 more

Daniele D'Aguanno is Associate Professor of Italian Linguistics (LIFI-01/A) at the Department of Literary, Linguistic, and Comparative Studies of the University of Naples L'Orientale. His academic journey began with a graduation from the University of Rome La Sapienza in 2002 with a thesis in History of the Italian Language, followed by a PhD in "Language, Text, and Writing Forms: Linguistic Analysis, Rhetorical-Literary Traditions, and Anthropological Aspects" from the University of Basilicata in 2006. His professional path at L'Orientale progressed from adjunct professor (2013-2018), to research fellow (2014-2018), and researcher (2018-2025) before achieving his current position. Dr. D'Aguanno's research focuses on the language of modern biblical translations, Italian teaching methodologies in schools, and contemporary Italian language studies. His work bridges historical linguistic analysis with practical educational applications, particularly in secondary school contexts. He has made significant contributions to understanding how religious texts have evolved linguistically in Italian translations and how these insights can inform modern language teaching practices. His publication record shows a consistent focus on Italian linguistic history, biblical translations, and language education. Recent works demonstrate increasing engagement with digital humanities approaches, particularly through his involvement with the MULTI project (The Performance of Intangible Cultural Heritage: For a Museum of the Italian Language). His scholarly output spans academic articles, book chapters, and practical teaching guides, reflecting his dual commitment to theoretical linguistics and practical pedagogy. D'Aguanno has been actively involved in significant research initiatives, serving as both member (2021-2022) and head (2022-23) of the Orientale research unit for the MULTI project funded by FISR. His professional affiliations include membership in the Association for the History of the Italian Language (ASLI), connecting him with leading scholars in Italian linguistic history. Currently, Dr. D'Aguanno teaches "LINGUA E LINGUISTICA ITALIANA" (Italian Language and Linguistics) for undergraduate programs in Ancient Cultures and Archaeology: Asia, Africa and Mediterranean, and Mediation Linguistic and Cultural Studies, as well as "STORIA DELLA LINGUA ITALIANA - MAGISTRALE" (History of the Italian Language - Master's) for the Master's program in European and American Languages and Literatures. His teaching schedule for the 2025-2026 academic year demonstrates his ongoing active role in the department.

• Italian Linguistics
• History of the Italian Language
• Contemporary Italian
• +2 more

Professor Mairead MacSweeney is a leading cognitive neuroscientist at University College London's Institute of Cognitive Neuroscience, where she serves as Deputy Director. She was previously the Director of the UCL Deafness, Cognition and Language Research Centre (DCAL) from 2017-2023 and currently holds a prestigious Wellcome Trust Senior Research Fellowship (2022-2028). Her work bridges the Institute of Cognitive Neuroscience with the DCAL research center, contributing significantly to UCL's reputation in neuroscience and deaf studies. Her educational background includes a Doctor of Philosophy from University College London (1998) and a Bachelor of Science from the University of Northumbria at Newcastle (1993). Her academic career trajectory shows progressive responsibility, starting as a Postdoctoral Research Fellow at UCL in 1998, then advancing through various Wellcome-funded fellowships before reaching her current professorship. MacSweeney's research fundamentally explores how the brain processes language in people born profoundly deaf, examining how altered sensory experiences shape neural organization. Her work demonstrates that 'auditory' brain regions can process visual input when hearing is absent from birth, and that signed and spoken languages engage similar neural networks. This research has significant theoretical implications for understanding brain plasticity and practical applications for deaf education. Her methodology combines functional MRI (fMRI), behavioral analysis, and electroencephalography (EEG) to investigate language, literacy, and cognitive processing in deaf populations. Her recent publications reveal a consistent focus on language processing in deaf individuals, with increasing attention to developmental trajectories from infancy through adulthood. The research shows interdisciplinary connections between cognitive neuroscience, linguistics, developmental psychology, and education, with particular emphasis on bimodal bilingualism (spoken language plus sign language), cross-modal plasticity, and the neural basis of reading in deaf populations. Her work increasingly incorporates longitudinal designs and comparative approaches between deaf and hearing populations. Wellcome Trust Senior Research Fellow (2022-2028) Professor MacSweeney actively supervises undergraduate and MSc research projects and teaches across multiple Masters-level courses in the Faculty of Brain Sciences and Faculty of Population Health Sciences. Her research program is substantially supported by Wellcome Trust funding, indicating major institutional investment in her work on sensory and language experience effects on neural systems. She has secured continuous research funding through multiple competitive Wellcome fellowships since 2001, demonstrating sustained research excellence. MacSweeney leads research within the Visual Communication research group at the UCL Institute of Cognitive Neuroscience and has been central to DCAL's research activities. Her work connects with broader initiatives studying British Sign Language and deaf cognition, contributing to DCAL's mission of conducting world-class research to empower deaf people. She collaborates with researchers across UCL departments including Linguistics, Experimental Psychology, and Language and Cognition, reflecting the interdisciplinary nature of her work.

• Cognitive Neuroscience
• Language Processing
• Deaf Studies
• +6 more

Dr. Kate Rowley is a Lecturer in Deafness, Cognition & Language at University College London (UCL), where she also serves as deputy director of the UCL Deafness, Cognition & Language Research Centre (DCAL) since February 2023. A Deaf researcher raised in a deaf family in Cornwall, Dr. Rowley brings both personal and professional expertise to her work, maintaining active involvement in the deaf community. Her research and teaching focus primarily on language and literacy development of deaf children, with strong advocacy for bilingual education approaches that recognize both sign language and written/spoken language as essential components. Dr. Rowley's educational background includes: Bachelor of Science in Deaf Studies from University of Bristol (2004) Master of Arts in Linguistics from University College London (2006) Master of Science in Psychology Research from University College London (completed with merit) PhD in Experimental Psychology from University College London (2018), with thesis titled 'Visual Word Recognition in Deaf Readers: the interplay between orthographic, semantic & phonological information' Her research spans language acquisition and literacy development among deaf children, examining how deaf children learn and process British Sign Language (BSL) and English. Dr. Rowley has conducted significant research on language attitudes within the British Deaf community, regional variations in BSL, and the impact of external factors like face masks on deaf communication. Her work consistently bridges theoretical psycholinguistics with practical applications for deaf education. Dr. Rowley's publication record demonstrates sustained focus on deaf language development across multiple dimensions, integrating experimental methods with community-based research to ensure practical relevance. Her recent work shows increasing attention to language attitudes, sign language variation, and the social dimensions of deaf communication alongside her foundational work on reading processes in deaf individuals. Dr. Rowley has secured significant research funding, including leading the ESRC project 'Language Comprehension in Deaf Children' (2021-2024), which collected data from 200 deaf people across the UK. She is also collaborating as co-investigator on another ESRC project 'Understanding Variation in Reading Progress in Deaf Children' (commencing April 2024). She provides consultancy services through Language Wise Consultancy and develops language modules for professionals working with deaf children. As an active community member, Dr. Rowley serves as governor for Hamilton Lodge (a deaf school in Brighton), maintains strong relationships with deaf schools in Southeast England, and regularly delivers training on sign language acquisition, cognitive development, and literacy intervention strategies. She is on the editorial board of First Language journal and serves as trustee for several deaf community organizations.

• Language development in deaf children
• Literacy development in deaf children
• British Sign Language acquisition
• +7 more

Elizabeth Manrique-Cordeje is an Honorary Research Fellow in Linguistics at University College London's Deafness Cognition and Language Research Centre (DCAL), part of the Division of Psychology and Language Sciences. Her research focuses on sign language linguistics with particular expertise in Argentine Sign Language and conversation analysis. Her academic credentials include: PhD in Linguistics from Max Planck Institute for Psycholinguistics, Nijmegen, Netherlands (2012-2017) Master in Linguistics from Radboud University Nijmegen, Netherlands (2011-2012) Licenciatura en Letras from Universidad de Buenos Aires, Argentina (2002-2008) Dr. Manrique-Cordeje's research primarily investigates how communication breakdowns are repaired in signed conversations, examining both self-initiated and other-initiated repair mechanisms across languages. Her work demonstrates that despite modality differences between spoken and signed languages, fundamental structures of human conversation show remarkable cross-linguistic consistency. She has conducted comparative studies across multiple sign languages to identify universal principles in communication repair, with particular attention to timing of visual bodily behavior and sequence organization in social interaction. Her publication record reveals a consistent trajectory examining repair sequences and turn-taking mechanisms in sign languages, with publications spanning from Journal of Pragmatics to PLOS ONE . Notable works include her research on suspending the next turn as a repair initiation strategy in Argentine Sign Language and cross-linguistic studies of repair markers like 'Huh?' across twenty-one languages. Her collaborative approach is evident through partnerships with leading researchers including Nick Enfield, Mark Dingemanse, and Kobin Kendrick. As part of DCAL, Dr. Manrique-Cordeje contributes to UCL's world-class research on deaf cognition and language. Her multilingual capabilities in Spanish, English, and Sign Languages support her cross-linguistic investigations into human communication patterns. While her current position is research-focused, her scholarly contributions significantly advance our understanding of universal principles in human conversation through the lens of sign languages.

• Sign Language Linguistics
• Conversation Analysis
• Repair Sequences in Communication
• +3 more