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Erik W. WillisView profile

Associate Professor

• Spanish Phonetics
• Spanish Phonology
• Laboratory Phonology
• +5 more

Erik W. Willis is an Associate Professor in the Department of Spanish and Portuguese at Indiana University Bloomington, where he also serves as Director of Graduate Studies and Director of the Hispanic Linguistics Program. His work focuses on Spanish phonetics, phonology, and dialectal variation, particularly in Caribbean and Mexican Spanish varieties. He employs acoustic analysis and laboratory methods to study rhotic contrasts, intonational patterns, and sociolinguistic phenomena. Ph.D., University of Illinois at Urbana-Champaign (2003) M.A., Brigham Young University (1997) B.A., Brigham Young University (1994) His research spans multiple subfields including: Acoustic characterization of Spanish rhotics Intonational system analysis using Sp_ToBI Second language phonology acquisition Web-based language assessment tools Vowel system variations in Spanish dialects Contextual phonetic realizations in Caribbean Spanish Recent publications demonstrate systematic variation in coda liquids, tap-trill contrasts, and intonational patterns across Dominican, Puerto Rican, and Mexican Spanish. His work combines empirical acoustic analysis with sociolinguistic frameworks to document both phonetic realizations and their pragmatic functions in spoken language.

• Neuromorphic Engineering
• Neural Networks
• Edge Computing
• +3 more

Shih-Chii Liu holds the rank of Privatdozent (Associate Professor) in the Department of Information Technology and Electrical Engineering at ETH Zürich. He is affiliated with the Institute of Neuroinformatics , a joint institute between the University of Zurich and ETH Zurich. His research focuses on neuromorphic engineering, bio-inspired neural hardware, and edge computing systems, emphasizing energy-efficient algorithms and sensor technologies. Key research areas include neuromorphic sensors for real-time data processing, sparsity-aware neural networks, and adaptive computing architectures for edge devices. His work spans applications such as speech enhancement, wearable health monitoring, and bio-inspired keyword spotting systems. He leads the Sensors Research Group, which develops neuromorphic systems integrating novel sensors, spiking neural networks, and low-power hardware accelerators. Recent projects include the DeltaKWS low-power keyword spotting IC, EFLOP computational cost metrics for spiking networks, and NeuroBench benchmarking frameworks for neuromorphic systems. His contributions emphasize bridging biological neural principles with practical engineering solutions for IoT and embedded systems. Liu teaches courses such as Neuromorphic Engineering I and collaborates on cross-disciplinary projects involving neuroprosthetics, smart wearables, and multimodal sensor fusion. His work is characterized by hardware-software co-design approaches to tackle challenges in real-time, low-latency, and energy-constrained computing environments.

Benoît SagotView profile

Researcher

• Natural Language Processing
• Computational Linguistics
• Machine Translation
• +7 more

Benoît Sagot is a Senior Researcher in Natural Language Processing and Computational Linguistics at Inria , currently holding the 2023-2024 Informatics and Digital Sciences Annual Chair at Collège de France. He directs the ALMAnaCH research team and contributes to the PRAIRIE Institute for AI research. Research Focus: His work spans neural language models, machine translation, text simplification, multimodal NLP, and lexical resource development for French and low-resource languages. He explores computational morphology, etymology, and historical linguistics, with applications in opinion mining and computational oenology. Recent Articles emphasize language model interpretability, cross-lingual transfer, and multimodal integration (speech, image). Tools & Resources: He has developed morphological lexicons (Le fff, Alexina), corpora (OSCAR, CAMEMBERT), and parsing pipelines (SxPipe). Projects: Involved in initiatives like ANR BASNUM (Furetière's dictionary digitization) and 3IA PRAIRIE (AI research). His career combines foundational work in syntactic analysis with evolving deep learning approaches.

• Central Asian Studies
• Iranian Studies
• Ethnography
• +3 more

PD Dr. Lutz Rzehak is an academic staff member at the Institute for Asian and African Studies (IAAW) within the Faculty of Humanities at Humboldt University of Berlin, serving as a Teacher for special tasks specializing in Modern Iranian languages and the ethnography and cultural history of Afghanistan and Central Asia. His educational background includes: Oriental Studies/History from the State University of Leningrad (1985) Doctorate in Iranian Studies, Humboldt University of Berlin (1991) Habilitation in Central Asian Studies / Iranian Studies, Humboldt University of Berlin (2001) Dr. Rzehak's research spans Central Asian Studies , Iranian Studies , Ethnography , and Linguistics , with fieldwork focusing on Baloch, Pashtun, and Tajik communities. His work examines language evolution, social structures, and cultural practices through historical and contemporary lenses, particularly regarding Soviet influence and post-Taliban Afghanistan. Key contributions include grammatical analyses of Iranian languages and ethnographic studies of religious rituals and tribal systems. His recent publications (2016-2021) reveal consistent focus on Iranian language dynamics (especially Dari and Pashto), ethnic identity politics in Afghanistan, and cultural history of Central Asia. These works address language change mechanisms, ethnic consolidation strategies, and the interplay between tradition and modernity, often utilizing comparative linguistic and ethnographic methodologies. His scientific awards include: Heisenberg Fellow of the German Research Foundation Dr. Rzehak has held significant research positions including Research Associate in the Crossroads Asia Competence Network (2011-2016) and Heisenberg Fellow (2002-2011). While his CV does not list formal PhD advisees, his language lecturing and research supervision have mentored numerous students in Central Asian and Iranian studies through course instruction and fieldwork guidance. He has been actively involved in the Crossroads Asia Competence Network, a major interdisciplinary research initiative examining transregional connections and historical trajectories across Central, South, and West Asia.

• Artificial Intelligence
• Natural Language Processing
• Human-AI Interaction
• +4 more

Khiet P. Truong is an Associate Professor affiliated with the Digital Society Institute and the Human Media Interaction group. Their research focuses on the intersection of artificial intelligence, robotics, and human-computer interaction, with particular emphasis on speech emotion recognition, conversational agents for children, and multimodal interaction analysis. Recent work includes exploring how robots can restore trust through apologies, benchmarking Dutch automatic speech recognition systems, and developing child-friendly interfaces for cultural heritage archives. Truong has also investigated physiological signals like laughter and stress markers in speech across diverse contexts. Scientific Awards : Best Functional Design Award (2019) Research Trends : Analysis of speech patterns, emotion recognition, robot-human dialogue, and multimodal behavioral cues dominate their recent publications. Key subfields include Dutch language processing, laughter classification, trust indicators in child-robot interactions, and healthcare applications of speech technology. Academic Activities : Chair of the 26th ACM International Conference on Multimodal Interaction (2024) Examiner roles for PhD defenses and research evaluations (2024–2023) Contributions to workshops on emotion representation and social signal processing

Susannah V LeviView profile

Associate Professor

• Speech Perception
• Phonetics
• Acoustic Phonetics
• +7 more

Susannah V Levi serves as an Associate Professor in the Department of Communicative Sciences and Disorders at New York University's Steinhardt School of Culture, Education, and Human Development. She holds multiple leadership roles including Director of Undergraduate Studies for the Department of Communicative Sciences and Disorders and Director of the Acoustic Phonetics and Perception Lab (APPL). She also serves as Affiliate Faculty in both Linguistics and Psychology departments. Dr. Levi received her educational training through: BA in Mathematics and French from Washington University in St. Louis MA in Linguistics from the University of Washington, Seattle PhD in Linguistics from the University of Washington, Seattle Post-doctoral research in Psychological and Brain Sciences at Indiana University Her research program focuses on spoken language processing, examining how listener characteristics (languages spoken, reading ability, language ability) interact with spoken utterance properties (native versus nonnative speech, talker familiarity, semantic predictability) during processing. Her work spans fundamental speech perception mechanisms to clinical applications for individuals with language and reading disorders. Recent research has increasingly focused on gender expression in speech, expanding traditional binary gender frameworks to include transgender and gender nonconforming speakers. She has made significant contributions to understanding how talker familiarity benefits speech processing in children and adults, with implications for clinical interventions. Analysis of Dr. Levi's recent publications reveals several key research trends: an expansion from basic speech perception mechanisms to clinical applications; growing emphasis on gender diversity in speech science; increasing integration of sociolinguistic factors with cognitive processing; and methodological innovations in measuring speech perception. Her work demonstrates a clear trajectory from foundational research on talker processing to applied work addressing real-world communication challenges, particularly for vulnerable populations including children with language disorders and gender diverse individuals. Dr. Levi actively mentors students, as evidenced by the numerous publications where student co-authors are marked with asterisks. Her research program is currently funded by the National Science Foundation, supporting work in the Acoustic Phonetics and Perception Lab. Her laboratory work focuses on speech perception mechanisms, with particular attention to how listeners process speech from familiar versus unfamiliar talkers, how this develops in children, and how it applies to clinical populations. The lab has increasingly incorporated gender-expansive perspectives into speech science research, examining acoustic properties of speech across gender identities.

John W. Du BoisView profile

Professor

• Discourse and Grammar
• Sociocultural Linguistics
• Referential Pragmatics
• +6 more

John W. Du Bois is a Professor in the Department of Linguistics at the University of California, Santa Barbara (UCSB), within the College of Letters and Science. His work focuses on the interplay between discourse, grammar, and sociocultural contexts. Specializing in dialogic syntax, he explores how linguistic structures emerge from interactional dynamics, particularly in conversational coherence and stance-taking mechanisms. His research integrates corpus linguistics, computational methods, and ethnographic approaches to study languages like Mayan and Kazakh. Key research areas include: Discourse and grammar integration Dialogic resonance and affective alignment Corpus design and analysis Ritual language and cognitive models Mayan linguistic systems Recent studies emphasize computational tools like Rezonator for dialogue coherence visualization and remote corpus development methodologies. His work bridges theoretical linguistics with applied research in language documentation and education. Du Bois has contributed to foundational texts on discourse transcription standards and maintains active involvement in the Santa Barbara Corpus of Spoken American English project. His publications span over four decades, reflecting sustained engagement with linguistic complexity across multiple levels—from micro-level syntactic interactions to macro-level sociocultural frameworks. Current projects investigate dialogic syntax in autism and the evolutionary niche of language within social interaction.

Paola (Giuli) DussiasView profile

Professor

• Bilingualism
• Psycholinguistics
• Syntactic Processing
• +4 more

Paola Dussias is a Professor of Spanish, Linguistics, and Psychology at Pennsylvania State University, with affiliate appointments in the Department of Psychology and Linguistics. She holds a Ph.D. from the University of Arizona and has held positions at the University of Illinois and the University of Mississippi. Her research focuses on bilingual language processing, psycholinguistics, and code-switching, utilizing eye-tracking, EEG, and neuroimaging techniques. She leads the Dussias Brain Tracking Lab, equipped with advanced tools for language processing studies. Notable awards include the 2019 Faculty Scholar Medal and the 2012 Outstanding Faculty Adviser Award. She has mentored numerous graduate and undergraduate students, overseeing over 100 international research collaborations through NSF-funded PIRE grants. Her work bridges theoretical and applied language science, emphasizing linguistic diversity and cognitive consequences of bilingualism. Education: Ph.D. in Second Language Acquisition and Teaching, University of Arizona Affiliations: Center for Language Science, Bilingualism Matters Her research examines how bilinguals negotiate two languages in their minds, with a focus on sentence processing, code-switching, and cognitive effects. Collaborative projects include the NSF-funded PIRE grants, promoting international research on bilingualism. She has published over 80 peer-reviewed articles and mentored students in grants totaling millions of dollars. Grants: Includes $5M NSF PIRE grants and multiple Dissertation Improvement Awards Labs/Teams: Dussias Brain Tracking Lab, Center for Language Science

Margaret E. L. RenwickView profile

Academic

• Sociophonetics
• Laboratory Phonology
• Phonetics
• +5 more

Margaret E. L. Renwick serves as Associate Research Professor and Director of Undergraduate Studies in the Department of Cognitive Science at Johns Hopkins University's Krieger School of Arts and Sciences. Previously holding a tenured position in Linguistics at the University of Georgia, she brings extensive expertise in speech variation and phonological systems to her current role. Her academic journey includes affiliation with the Phonetics Laboratory at the University of Oxford. Dr. Renwick's research focuses on sociophonetics and laboratory phonology, examining how speakers manipulate phonetic detail in patterned ways while listeners extract linguistic and social meaning from speech. Her work investigates phonological contrast, regional accents of US English (particularly Southern accents), and linguistic change across generations. A significant portion of her research explores African American vowel systems in Georgia and Italian mid-vowel systems, bridging theoretical linguistics with empirical acoustic analysis. Analysis of her recent publications reveals a strong trend toward computational approaches in phonetics, with increasing use of machine learning techniques like the Phonet library for vowel variation analysis. Her work consistently bridges theoretical phonology with empirical acoustic data, showing particular strength in regional variation studies across multiple language systems including English and Romance languages. Dr. Renwick actively mentors students through the Renwick Lab, welcoming advisees at all levels including PhD and MA candidates in Cognitive Science at JHU. Her teaching portfolio includes courses in Acoustic Phonetics, Sociophonetics, and her First-Year Seminar 'Who Has an Accent?' examines sociolinguistic perceptions of speech variation. The Renwick Lab functions as a comprehensive research environment focused on spoken language analysis, providing resources for phonetic research including tools for IPA transcription, acoustic analysis with Praat, and computational approaches to speech data. The lab supports both theoretical investigations of phonological systems and practical applications of speech technology.

• English Linguistics
• Lexicography
• Spoken Language Analysis
• +3 more

Dr. Brigitta Mittmann is a Senior Lecturer at the Department of English and American Studies, Friedrich-Alexander University Erlangen-Nuremberg (FAU), holding the Alexander von Humboldt Professorship for Language and Cognition. Her work focuses on lexicography, phraseology, and comparative analysis of spoken English varieties.

Paradis CaritaView profile

Academic

• Cognitive Linguistics
• Discourse Analysis
• Semantics
• +7 more

Carita Paradis is a Professor Emerita at Lund University's Centre for Languages and Literature, specializing in English Linguistics. She holds a PhD from Lund University (1997) and has held leadership roles including Chair of the Swedish Research Council's Linguistics panel (2010–2015). She coordinates the Language, Cognition and Discourse@Lund (LCD@L) research group, focusing on discourse meaning, language acquisition, and sociocultural variation. Her research spans cognitive linguistics, discourse analysis, semantics, and sensory language. She has authored/co-authored over 100 refereed publications, 5 books, and edited 10 journal volumes. Awards include membership in Academia Europaea (2016) and leadership roles in Scandinavian linguistic associations. She has supervised 14 PhD students and 8 postdocs, taught at all academic levels, and participated in numerous national/international research projects. Her editorial roles include serving on Cognitive Semantics, Languages, and Human Cognitive Processing series.

Yun-Nung ChenView profile

Professor

• Natural Language Processing (NLP)
• Dialogue Systems
• Machine Learning
• +3 more

Professor Yun-Nung Chen works at the Department of Computer Science and Information Engineering , National Taiwan University , focusing on Natural Language Processing and Dialogue Systems . With a Ph.D. from Carnegie Mellon University , their research bridges Machine Learning and Language Understanding in conversational AI. Education Ph.D. in Language Technologies, Carnegie Mellon University (2015) M.S. in Computer Science, National Taiwan University (2011) B.S. in Computer Science, National Taiwan University (2009) Research Trends Recent work emphasizes Retrieval-Augmented Generation , Knowledge Editing in LLMs , and Temporal Modeling for dialogue systems. Key themes include cross-modal understanding , semantics-driven dialogue , and robust language modeling across domains. Scientific Recognition Best Student Paper, IEEE ASRU 2013 Best Student Paper, IEEE SLT 2010 Distinguished Master Thesis, ACLCLP 2011 Best Paper Finalist, ISCA INTERSPEECH 2012 Current projects involve StreamBench for continuous agent improvement and Taiwan LLM for culturally aligned language models.

Siew, Shu Qin CynthiaView profile

Assistant Professor

• Psycholinguistics
• Cognitive Science
• Network Analysis
• +3 more

Siew, Shu Qin Cynthia is an Assistant Professor at the National University of Singapore, specializing in psycholinguistics and cognitive science. She holds a Ph.D. and M.A. from Kansas University (KU) and a B.Soc.Sci. (Hons.) from NUS. Her research focuses on applying network analysis to study cognitive structures like the mental lexicon and semantic memory. Education: Ph.D. in Psychology, KU M.A. in Psychology, KU B.Soc.Sci. (Hons.) in Linguistics, NUS Her work integrates cognitive psychology experiments, computational modeling, and linguistic corpora to explore two core themes: (1) How lexicon structure influences processing (e.g., phonological/orthographic similarity affecting word recognition), and (2) How lexicon structure evolves over time (e.g., language acquisition across monolinguals and bilinguals). Recent publications highlight her innovative use of network science to model phonological and semantic networks and software tools like spreadr for simulating spreading activation. This work bridges computational methods with empirical studies on lexical retrieval and memory organization.

• Corpus Linguistics
• Applied Linguistics
• Theoretical Linguistics
• +3 more

Professor Tony McEnery is a Distinguished Professor of English Language and Linguistics at Lancaster University, where he has held various senior roles, including Dean of the Faculty of Arts and Social Sciences (2008–2014) and Head of the Department of Linguistics and English Language (2000–2005). His research focuses on corpus linguistics, applied linguistics, and sociolinguistics, with notable contributions to corpus-based analyses of historical medical discourse, media representation of Islam, and swearing in English. He has led major research projects, including the ESRC Centre for Corpus Approaches to Social Science (CASS) and the Trinity Lancaster Corpus. McEnery has secured over £10 million in research funding and holds visiting professorships at institutions worldwide, including Zhejiang University of Media and Communications and Shanghai International Studies University. He is a Fellow of the Academy of Social Sciences, Trinity College London, and the Royal Society for the Arts. Education: No explicit details provided, but his career trajectory implies advanced degrees in linguistics. Research Interests: Corpus linguistics applications in theoretical and applied linguistics, historical language analysis, and language as a socially situated phenomenon. McEnery’s work extends to interdisciplinary collaborations, including projects with the Environment Agency and the Home Office. His teaching includes summer schools in corpus linguistics and a Futurelearn MOOC, reaching tens of thousands globally. He advises on research funding for international bodies like the Irish Research Council and the Qatar National Research Foundation. Grants and Awards: Queen’s Anniversary Prize (2015), Changjiang Chair (2021), and multiple fellowships. Current grants include the Lancaster-Northern Arizona corpus and the Trinity Lancaster Corpus projects. Advising and Labs: Supervises postgraduate students in linguistics and collaborates with teams like the ESRC CASS Centre and UCREL (University Centre for Computer Corpus Research on Language).

• Natural Language Processing
• Speech Recognition
• Multilingual Systems
• +3 more

David Palmer is an Affiliate Associate Professor in the Department of Astronomy and Astrophysics. He is affiliated with Los Alamos National Laboratory (LANL). His research focuses on speech recognition, natural language processing, and multilingual systems, with particular emphasis on information extraction from audio and speech data. His work bridges computational linguistics and machine learning, addressing challenges in automated systems for audio comprehension and cross-language processing. Key research interests include robust information extraction from speech transcriptions, error detection in speech recognition, and multilingual processing for operational users. He has contributed to advancements in speaker identification, text preprocessing techniques, and domain adaptation in speech processing systems. His publications span over two decades, reflecting a consistent focus on improving automated systems for handling audio and text data in dynamic environments. While no specific awards or grants are listed, his extensive publication record highlights sustained contributions to the fields of speech technology and computational linguistics. His work at LANL likely involves collaborative research in applied computational sciences, though specific lab affiliations or teams are not explicitly mentioned.