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Douglas Whalen is an Adjunct Assistant Professor in the Child Study Center at Yale School of Medicine. His research focuses on speech production, bilingualism, and the intersection of linguistics with neuroscience and clinical applications. He has contributed to studies on Mandarin Chinese phonetics, ultrasound biofeedback therapies, and the health impacts of Indigenous language revitalization. His work often employs advanced acoustic and articulatory analysis methods. Research Interests Articulatory Phonetics: Investigating tongue and lip movements during speech production using ultrasound imaging. Bilingual Speech: Examining how bilingual speakers navigate phonetic differences between languages. Speech Therapy: Developing biofeedback interventions for children with speech disorders. Language and Health: Exploring how Indigenous language use correlates with mental and physical health outcomes. Recent Work Trends Recent articles highlight Whalen's focus on vocal tract dynamics (e.g., Mandarin rhotics analysis), clinical applications of ultrasound technology, and cross-linguistic studies of perceptual integration. His 2022 review on Indigenous language revitalization underscores his interdisciplinary approach to language and societal health. Grants & Collaborations Collaborations with Haskins Laboratories and international research teams. Funding likely supports projects on speech production mechanisms and clinical interventions.

• Speech Production
• Linguistics
• Speech Therapy
• +3 more

Dr. Brian Ó Raghallaigh is an Assistant Professor in Fiontar & Scoil na Gaeilge at Dublin City University (DCU). He holds a BA (Mod.) in computational linguistics and a PhD in speech technology from Trinity College Dublin. His research focuses on digital terminology, onomastics, folkloristics, phonetics, and language technology. He is Co-Principal Investigator of the AHRC-IRC 'Decoding Hidden Heritages' project (2021–2024) and Principal Investigator of the Department of the Gaeltacht-funded 'Logainm Placenames Database of Ireland' project. Education: BA (Mod.) in Computational Linguistics (Trinity College Dublin), PhD in Speech Technology (Trinity College Dublin) Roles: Technology Manager of the Gaois research group, Module Coordinator for Irish Linguistics (LIG1004), Co-coordinator for Corpus Research (LIG1010) Publications: Authored Fuaimeanna na Gaeilge , creator of fuaimeanna.ie , and co-editor of Decoding the Oral Traditions of Scotland and Ireland . His research interests span terminology, placename studies, digital humanities, and language preservation. He leads projects like Terminologue (a cloud-based terminology platform) and collaborates on initiatives such as the EU-GA terminology project. He is active in professional organizations like SNSBI, SIEF, and CIGILT. Grants & Projects: Funded by AHRC/IRC, Department of the Gaeltacht, RIA. Key projects include Logainm.ie , Gaois surname database , and Historical Dictionary of Modern Irish . Labs/Teams: Gaois research group (focused on language technology), Terminologue (terminology management), and collaborations with the Digital Repository of Ireland (DRI).

• Digital Terminology
• Onomastics
• Folkloristics
• +6 more

Ryan Ka Yau Lai is a PhD candidate at the University of California, Santa Barbara (expected Spring 2025), and will join the University of Georgia as an Assistant Professor in their Department of Linguistics starting Fall 2025. He holds a Bachelor’s degree in General Linguistics and Statistics from the University of Hong Kong, where he contributed to psycholinguistics and phonology research at the Language Development Lab. His research focuses on the intersections of grammar, discourse, and prosody, employing computational and corpus-based methods alongside theoretical frameworks such as dialogic syntax, construction grammar, and Columbia School linguistics. Key research areas include Tibetan light verb constructions, Cantonese causative-resultative structures, and historical analyses of Literary Chinese. He emphasizes integrating quantitative methods, including latent class analysis, information theory, and algorithmic techniques like clustering, while advocating for interdisciplinary approaches to linguistics. His work bridges functionalist traditions with experimental and corpus-driven methodologies. Ryan has received a Humanities and Social Science Dissertation Grant (2024) and actively presents at conferences, including the Society for the Study of Indigenous Languages of the Americas and the Linguistic Society of America. He co-developed the rezonateR R package for discourse analysis. His future projects aim to advance model-based approaches in syntax and refine quantitative methods for linguistic data operationalization.

• Linguistics
• Syntax
• Prosody
• +3 more

Caroline Crouch is a Lecturer in the Department of Linguistics at Rice University. She earned her PhD in 2022 from the University of California, Santa Barbara. Her research focuses on phonetics and phonology, integrating both fieldwork and laboratory methodologies. Her work includes field studies in Vanuatu and laboratory research on syllable coordination. Her doctoral dissertation utilized Electromagnetic Articulography to examine the relationship between sonority and timing in syllable onsets in Georgian. She explores how speech sounds are produced and perceived, combining theoretical and empirical approaches. Crouch’s research interests span phonetics, phonology, and language documentation. She employs both experimental and field-based methods to understand linguistic phenomena, contributing to the broader understanding of speech structures and their temporal organization. While no specific grants or advising roles are detailed, Crouch’s academic contributions are centered on her research activities. She has not listed any current or past grants or students in the provided information.

• Phonetics
• Phonology
• Field Linguistics
• +3 more

Anita Szakay is a Senior Lecturer in the Department of Linguistics at Macquarie University, affiliated with the Centre for Language Sciences (CLaS) and the Hearing Research Centre. Her research focuses on experimental sociophonetics, psycholinguistics, and sociophonetic effects on bilingual speech perception. She holds a PhD from the University of British Columbia (2013) and prior degrees from the University of Canterbury, including a BA (2004), Honours (2005), and MA (2007). Her work examines second dialect acquisition in L2 speakers, code-switching phonetics, and prosodic variation across ethnic varieties of English. Key projects include the Visualising Voice and Speech (VisVoiS) initiative and studies on Australian English dialect features like creaky voice prevalence and glottalisation patterns. She has supervised multiple research projects on bilingualism, perceptual cues, and neuro-dynamics of language switching. Her research outputs span 2006–2024, with notable contributions to phonetic perception, sociolinguistic variation, and neurolinguistic studies. Collaborations include work on Māori English, Pasifika English in Western Sydney drill rap culture, and acoustic analysis of ethnolects in London and New Zealand.

• Experimental Sociophonetics
• Psycholinguistics
• Second Dialect Acquisition
• +4 more

Professor Felicity Cox is a prominent linguist at Macquarie University's Department of Linguistics, affiliated with the Centre for Language Sciences (CLaS) and the Hearing Research Centre. She holds an ARC Future Fellowship (2018–2022) for research on multicultural Australian English and leads the AusKidTalk project, a major speech corpus initiative. Her work focuses on phonetics, sound change, and sociolinguistics, particularly in Australian English variation and language acquisition. Research Interests: Phonetic analysis of sound change Acquisition of phonological systems in children Speech production and perception in diverse populations Language variation and urban dialects Recent Research Trends: Recent studies emphasize vowel shifts, creaky voice variation, and articulatory patterns in Australian English, with a focus on sociolinguistic and acoustic correlates. Projects like Multicultural Australian English: The New Voice of Sydney explore ethnolectal influences and community diversity. Awards and Grants: ARC Future Fellowship (2018–2022) Fellow of the Australian Academy of Humanities ARC Linkage Grant for AusKidTalk (2019) Advising and Teams: Supervised 4 recent PhD students focusing on topics like glottalisation, creaky voice, and vowel articulation. Collaborates with interdisciplinary teams on speech corpus development and classroom acoustics. Labs and Facilities: Leads the Visualising Voice and Speech (VisVoiS) project, integrating experimental and clinical speech research. Active in the AusTalk and AusKidTalk corpus initiatives.

• Australian English Phonetics
• Sociophonetics
• Sound Change Analysis
• +3 more

Tomer Sagi is an Associate Professor in the Department of Computer Science at Aalborg University (AAU), Denmark. He is affiliated with The Technical Faculty of IT and Design and leads projects in the AI for the People and BLUE – Marine & Maritime Research groups. His research focuses on data integration, ontology engineering, artificial intelligence applications in healthcare and environmental science, and knowledge graph development. PhD in Information Systems from Technion-Israel Institute of Technology (2015) Former Lecturer at University of Haifa (2017–2022) Principal Investigator/Co-PI in projects like ODINI (AI-based Data Integration), MEHDIE (Middle Eastern Heritage Knowledge Graph), and DarkScience (Microbial Data Science) Research Interests: Data Integration, AI for Ocean Science, Medical Informatics, Ontology Evaluation, Multilingual Knowledge Systems, and Explainable AI. His work contributes to UN Sustainable Development Goals related to innovation and infrastructure. Key Projects (2022–2025): DarkScience: Metagenomic data analysis funded by Villum Foundation ODINI: AI-driven ocean data fusion and 3D reconstruction MEHDIE: Multilingual historical knowledge graphs for Middle Eastern heritage Awards: Received NLP4KGC Best Paper Award (2023) and AIME 2020 Best Paper Nomination. His contributions span 46+ publications, 8 datasets, and media coverage on AI applications in healthcare and environmental science. Labs/Teams: Active in AI for the People (applied AI solutions) and BLUE (marine data science). Collaborations include work on virtual twin technology for stroke management and medical data analytics.

• Data Integration
• Artificial Intelligence
• Computer Science
• +3 more

Tomoko Takami is a Senior Lecturer in Foreign Languages and Director of the Modern Japanese Language Program at the University of Pennsylvania’s School of Arts & Sciences. She specializes in Japanese language education with a focus on business Japanese and content-based instruction. Her roles include teaching courses from beginning to advanced levels of Japanese, including professional applications. She holds an EdM from Columbia University and an MS from the University of Pennsylvania. Her research emphasizes critical pedagogy, intercultural communication, and global talent development through language education. She has published extensively on business Japanese curriculum design, proficiency-based instruction, and post-pandemic language education strategies. Notable works include Chukyu kara nobasu Bijinesu keesu de manabu nihongo (2014) and co-editing Mirai wo tsukuru kotobano kyooiku wo mezashite (2015). Dr. Takami has presented at major conferences including the International Symposium on Japanese Language Education and the National Council of Less Commonly Taught Languages. She has held leadership roles such as Immediate Past President of the American Association of Teachers of Japanese and chairs multiple curriculum committees for AP Japanese Language and Culture. Awards include the AATJ Teacher Award (2019) and grants from the Eurasia Foundation and Penn Language Center. Awards: AATJ Teacher Award (2019), Best Project Award (2008) Grants: Eurasia Foundation Grant (2020–2025), Penn Lauder CIBER Grants (2008–2010) Leadership: Co-chair of AP Japanese Language Committee, Founding Chair of Japanese for Specific Purposes SIG Her teaching spans foundational to advanced levels, integrating real-world business scenarios and global case studies. She advocates for hybrid learning models and cross-cultural competency development, reflecting her commitment to preparing students for international professional environments.

• Japanese Language Education
• Business Japanese
• Content-Based Instruction
• +3 more

James Magnuson is a Professor in the Department of Psychological Sciences at the University of Connecticut, where he leads the Computational Cognitive Neuroscience of Language Lab (CCNLL). He serves as Principal Investigator for multiple NSF-funded initiatives, including the Neurobiology of Language graduate training program and the Science of Learning and Art of Communication research training program, and co-directs the Cognitive Science Shared Electrophysiology Resource Lab (CSSERL). His research investigates the neurobiological and psychological foundations of language processing, development, and disorders using computational modeling, eye-tracking, and neuroimaging techniques. Key interests include neural-network models of spoken word recognition (e.g., EARSHOT and TISK frameworks), real-time language processing across the lifespan, prosody in Specific Language Impairment, phonological competition dynamics, and cross-modal integration of linguistic information. Educational background includes a Ph.D. in Brain & Cognitive Sciences from the University of Rochester (2001). Current teaching responsibilities include undergraduate Cognitive Psychology (PSYC 2501) and graduate seminars on language plasticity and time-course methodologies (EEG, eye-tracking). Magnuson actively advises doctoral students in projects spanning computational modeling of speech recognition, neural bases of language processing, and individual differences in language acquisition. He has secured significant NSF funding for interdisciplinary training programs bridging cognitive science, neuroscience, and genetics.

• Neurobiology of Language
• Spoken Word Recognition
• Computational Modeling
• +5 more

Univ.-Prof. Dr. Susanne Wagner is a Professor of English Linguistics at the Department of English and Linguistics, Johannes Gutenberg University Mainz. Previously, she held positions including Departmental Lecturer at the University of Oxford (teaching and supervising MSt/MA/DPhil students) and Leverhulme Visiting Research Fellow at the University of Kent. Her academic trajectory includes a postdoctoral habilitation at Chemnitz University of Technology (2012), a PhD from the University of Freiburg (2003), and studies in English Philology, Latin Philology, and General Linguistics (Magister Artium, 1998). Her research focuses on sociolinguistics, language variation and change in L1 English, morphosyntactic features, and dialectology. Key interests include traditional dialects of Southwest England and Newfoundland, corpus linguistics, and statistical modeling. She has supervised theses on topics such as Multicultural London English, Twitter hashtag usage, and 19th-century Irish emigrant letters. Wagner is affiliated with the Teaching and Learning Research Lab (LLF) and actively engages in quantitative sociolinguistics and comparative studies. Her work bridges historical and contemporary dialect analysis, emphasizing corpus-driven approaches. She maintains a website at http://tinyurl.com/wagnersu .

• Sociolinguistics
• Language Variation and Change
• Morphosyntactic Features
• +5 more

Simona Daniutė is an Assistant Professor at Vilnius University Siauliai Academy. She holds a Doctoral Degree in Social Sciences (Education) from Vilnius University (2022), focusing on the relationship between phonological disorder treatment approaches and evidence-based speech therapy practice. Her academic journey includes a Master’s and Bachelor’s in Special Needs Teacher Training from Siauliai University, with specializations in Speech Therapy and Special Education. Her research interests center on assessment and intervention of speech and language disorders, evidence-based practices in speech therapy, and phonetic/phonological disorders. She has extensive practical experience as a speech and language therapist and special needs teacher from 2015 to 2021 in Šiauliai District schools. Professionally, she serves as a Board member of the Lithuanian Logopedists’ Association (LLA), an Ambassador for Raising Awareness of Developmental Language Disorder (RADLD), and a member of the Baltic States Speech-Language Therapists’ Scientific Committee. Her involvement includes research networks like RENET (Researchers' Excellence Network) and contributions to the Institute of Education and Regional Development at Vilnius University.

• Speech and Language Disorders
• Evidence-based Practice in Speech Therapy
• Special Education
• +3 more

Manuel Francisco Rábano Llamas is an Associate Professor at Universidad de Alcalá , specializing in Modern Philology . His work focuses on foreign language education , intercultural competence , and the integration of ICT (Information and Communication Technologies) in language teaching. He has led and participated in numerous research projects related to teacher training , virtual learning platforms , and CLIL methodologies .

• Foreign Language Education
• Intercultural Competence
• ICT in Language Teaching
• +4 more

Dr. Zakaria Kurdi is an Associate Professor of Computer Science at the University of Lynchburg. He joined the institution in 2016 and specializes in interdisciplinary research at the intersection of artificial intelligence, computational linguistics, and data science. His work spans text and data mining, intelligent tutoring systems, social network analysis, and cognitive modeling of spoken language. Education: PhD in Computer Science, Joseph Fourier University, France MS in Software Engineering, École Nationale Supérieure des Mines de Saint Étienne, France MS in Cognitive Science, Institut National Polytechnique de Grenoble, France BA in Linguistics, Université Lumière, France Research Interests: Dr. Kurdi’s research focuses on applying computational methods to linguistic and healthcare challenges. Key areas include analyzing spoken language disfluencies, developing adaptive educational tools for ESL learners, and leveraging machine learning for dementia detection through language analysis. He also explores bioinformatics applications, such as studying bacterial protein distributions, and social network analysis using datasets like Enron’s emails. Recent Research Trends: His publications (2024–2017) highlight a strong focus on interdisciplinary AI applications, with recent emphasis on medical diagnostics via natural language processing and computational biology. Earlier work includes foundational contributions to spoken language understanding systems and text complexity classification. Labs/Teams: While no specific lab is named, his affiliations imply involvement in interdisciplinary teams within the University of Lynchburg’s Computer Science department, collaborating on projects blending linguistics, AI, and biomedical data analysis.

• Text & Data Mining
• Intelligent Tutoring Systems
• Social Network Analysis
• +5 more

Dr. Miriam Riedinger is an Acting Professor at the Department of English and Linguistics, Johannes Gutenberg University Mainz (JGU). She holds a PhD in Linguistics (2024) and prior degrees from the University of Trier and Philipps University of Marburg. Her research focuses on phoneme perception at the interface of phonetics and phonology, employing EEG and behavioral methods to investigate vowel processing in German and other languages. She explores phonological theories like underspecification and feature hierarchy, alongside perceptual salience of vowel characteristics. Academic Roles: Acting Professor (2024–2025), Research Associate (2017–2024), Doctoral Student (2017–2024). Teaching: Leads seminars on neurolinguistics, psycho- and neurolinguistics, and experimental methods in language science. Affiliations: Member of the Gutenberg-Nachwuchskolleg Leadership Board (2020–2023) and former Junior Representative of the Gutenberg Academy (2020–2021). Her research highlights neural and behavioral asymmetries in vowel perception, emphasizing the interplay between phonological structure and acoustic cues. Recent work includes studies on vowel discrimination in native speakers and learners, published in Frontiers in Human Neuroscience and edited volumes on language assessment.

• Phonetics
• Phonology
• Neurolinguistics
• +3 more

Julie Hochgesang is a Professor of Linguistics at Gallaudet University's School of Language, Education, and Culture. She holds a PhD from Gallaudet and has conducted extensive research in linguistics, particularly focusing on signed languages. Her work emphasizes language documentation, corpus development, and accessibility. She co-edits the Gallaudet University Press Sociolinguistics in Deaf Communities series and manages the ASL Signbank and Collections of ASL for Research and Documentation (CARD). She teaches courses in phonology, field methods, and corpus linguistics. Education: PhD in Linguistics, Gallaudet University (2013) MA in Linguistics, Gallaudet University (2007) BA in English and Native American Studies, California State University, Northridge (1999) Research Interests: Hochgesang's research spans sociolinguistics of ASL, phonetics/phonology of signed languages, and ethical community-driven documentation. She leads projects like the Motivated Look at Indicating Verbs in ASL (MoLo) and O5S5: Documenting ASL Communities in the time of COVID-19. Her work prioritizes collaboration with Deaf communities and challenges systemic biases in sign language AI research. Grants & Projects: MoLo Project (2019–2022): Analyzing ASL indicating verbs O5S5 ASL: Pandemic impact on Deaf communities SLAAASh (2015–2020): Sign Language Acquisition, Annotation, Archiving, and Sharing Philadelphia Signs Project: Documenting regional variation Labs/Teams: Hochgesang collaborates with the Gallaudet Linguistics Department, Haskins Laboratories, and international networks like the Sign Language Corpora Network (SLCN). She advocates for Deaf-led research and FAIR/CARE data principles.

• Linguistics
• Language Documentation
• Sociolinguistics of American Sign Language
• +3 more