Find Academic Supervisors

• Second Language Acquisition
• Cognitive Psychology
• Metaphor Processing
• +2 more

Miki Ikuta is currently serving as an Assistant Professor at the Global Education Center , Waseda University, since April 2024. Previously, she held postdoctoral positions at the University of Windsor (Department of Psychology, 2023) and received JSPS fellowships (PD and DC2) for her work on second language processing. PhD in Humanities from Nagoya University (2020) Master's in Humanities from Nagoya University (2018) Exchange studies at University of the Sunshine Coast (2013-2014) Her research focuses on second language acquisition, metaphor processing mechanisms, and cognitive aspects of bilingualism. Key methodologies include experimental psychology, corpus analysis, and computational modeling. She has published in journals like PLOS ONE and Metaphor and Symbol , while her presentations span international conferences on aphasia, cognitive psychology, and language education. 2025: Selected for Words in the World and JCLA conferences 2024: Presented at Academy of Aphasia annual meeting 2023: Keynote at LET Conference Scientific achievements include: JSPS Grant-in-Aid for metaphor processing research Co-developed mixed-effects models for analyzing language development She teaches foundational English courses at Waseda University, including Tutorial English series across multiple quarters.

Orsolya RingView profile

Assistant Professor

• Quantitative Methods
• Artificial Intelligence
• Text Mining
• +9 more

Orsolya Ring serves as an Assistant Professor at the Institute of Historical Studies, Eötvös Loránd University (ELTE), and as a Senior Researcher at the Institute of Political Science, Centre for Social Sciences, Hungarian Academy of Sciences. She maintains dual institutional affiliations that reflect her interdisciplinary research bridging historical studies, political science, and computational methods. At ELTE, she is associated with the Faculty of Humanities and the Department of Auxiliary Studies of History, while at the Hungarian Academy of Sciences, she works within the Department of Governance and Public Policy. Dr. Ring's research spans quantitative methods, artificial intelligence, text mining, sentiment and emotion analysis, content analysis, and social history with particular focus on the Hungarian socialist era. Her work addresses the challenge of applying computational methods to the morphologically rich Hungarian language, developing specialized tools and datasets for political text analysis. She has created manually annotated sentiment datasets for Hungarian political news (5700 sentences) and fine-tuned language models like HunEmBERT specifically for Hungarian political communication analysis. Her publication trajectory reveals an evolution from foundational work on text mining in R toward increasingly sophisticated AI applications in historical and political analysis. Her recent work focuses on transformer-based models for sentiment classification, multilingual policy topic classification, and geopolitical analysis of media representation. Simultaneously, she maintains significant contributions to cultural and theatre history, examining institutions like the National Theatre and József Attila Theatre within their political contexts during the socialist period. Dr. Ring leads several major research projects including 'Identifying News Slant in Crisis Communication Using Artificial Intelligence' (Visegrad Fund), 'V-SHIFT MOMENTUM' studying shifting global allegiances of Visegrád countries, 'PROMPT' researching misinformation propagation, 'MORES' (Horizon EU) examining moral emotions in politics, and 'PLEDGE' (Horizon EU) investigating politics of grievance and democratic governance. These projects demonstrate her commitment to applying computational methods to pressing questions in political science and historical analysis.

Georgette DalView profile

Professor

• Constructional Morphology
• Productivity in Linguistics
• Corpus Linguistics
• +5 more

Georgette Dal is a Full Professor at the University of Lille, affiliated with the Faculty of Humanities and the Language Sciences Department (UMR 8163 - STL: Savoirs, Textes, Langages). Her research focuses on constructional morphology , morphological productivity , and usage-based linguistics , with a strong emphasis on corpus analysis and digital resources like the Démonette-2 database. She led the ANR DEMONEXT project (2017-2022) to develop morphological databases for speech therapy applications. Research Themes : Constructional morphology, productivity, corpus linguistics, lexematic morphology Projects : FRANLEX (1997-2003), MorTAL (2000-2003), DEMONEXT (2017-2022) Her work bridges theoretical morphology with applied linguistics , particularly in speech therapy and language education . She has collaborated extensively with computational linguists and psycholinguists, contributing to debates on the autonomy of morphology , category boundaries , and the role of analogy in lexical construction. Recent studies include the morphological analysis of French adjectives in -eux and the development of participatory research frameworks for clinical partnerships. Her advocacy for internet-based data has transformed French morphological research methodologies.

Anders Martin FjellView profile

Professor

• Cognitive Psychology
• Neuropsychology
• Brain Development
• +4 more

Anders Martin Fjell is a Professor and Center Manager for the Center for Lifespan Changes in Brain and Cognition (LCBC) at the Department of Psychology, University of Oslo. His research focuses on how the brain and cognitive abilities develop in childhood and change throughout the adult lifespan. Dr. Fjell's research spans multiple areas of cognitive neuroscience and neuropsychology, with particular emphasis on: Brain development and aging across the lifespan Relationships between brain structure and cognitive function Memory processes and their neural correlates Neurodegenerative processes, particularly related to Alzheimer's Disease Effects of sleep on brain health and cognitive function His publication record demonstrates strong focus on lifespan neuroscience, with recent work examining brain aging trajectories, memory systems, Alzheimer's disease biomarkers, and the relationship between sleep patterns and brain health. His research frequently employs advanced neuroimaging techniques and large-scale longitudinal datasets to investigate cognitive and neural changes across the lifespan. Among his notable achievements: Elected to the Norwegian Academy of Sciences and Letters (2016) Recipient of the University of Oslo Research Prize (2015) LCBC awarded status as one of 5 world-leading research groups at UiO (2015) Morgenbladet's top 10 list of young Norwegian researchers (2012) Recipient of Fridtjof Nansen Award for Young Scientists and His Majesty the King's Gold Medal for best doctoral thesis (2006) Dr. Fjell has secured significant research funding including an ERC Starting Grant (€1.5 million), multiple grants from the Norwegian Research Council, and funding from the National Association for Public Health. His current projects focus on biomarkers for early Alzheimer's detection, brain inflammation and atrophy in aging, and memory development and decline across the lifespan. As Center Manager for LCBC, Dr. Fjell leads one of the world's leading research groups studying lifespan changes in brain and cognition, contributing significantly to our understanding of how the brain changes from childhood through old age.

• Psycholinguistics
• Neurolinguistics
• Multilingualism
• +4 more

Hanna Kędzierska serves as an Assistant Professor in the Department of English and Comparative Linguistics at the University of Wrocław, where she is affiliated with the Center for Experimental Research in Natural Language. Her academic trajectory includes doctoral research on foreign-accented speech processing using ERP techniques and postdoctoral work at Adam Mickiewicz University in Poznań. Her research program centers on psycholinguistic and neurolinguistic mechanisms in multilingual contexts, with specific expertise in foreign-accented speech perception, idiom processing, and phonemic contrast discrimination. She employs ERP and eye-tracking methodologies to investigate neural correlates of language processing across L1, L2, and L3 speakers. Current work examines how foreign pronunciation influences error detection in idiomatic expressions through her National Science Centre-funded Miniatura grant. Analysis of her 15 most recent publications reveals a consistent focus on multilingual speech processing using electrophysiological methods. Key trends include the neural basis of L2/L3 accent perception (2025), cross-linguistic vowel processing (2023), and idiom comprehension mechanisms (2018-2020). Her work bridges theoretical linguistics with experimental cognitive science, particularly in Slavic language contexts. Miniatura grant from National Science Centre (2024): 'The influence of foreign pronunciation on the processing of errors in idioms: a psycholinguistic study' Dr. Kędzierska has secured competitive research funding while contributing to corpus development (DiaBiz.Kom dialogue act project) and historical linguistics (Polish indefinite article grammaticalization). Her experimental work consistently employs rigorous psycholinguistic paradigms including timed cloze tasks and ERP measurements. She collaborates extensively with researchers like Magdalena Wrembel and Krzysztof Hwaszcz across multiple publications.

• Digital Marketing
• Social Media Marketing
• Consumer Behavior
• +3 more

Wilson Ozuem is Professor at the Business School for the Creative Arts, University for the Creative Arts, holding this position since November 2023. His academic role bridges business theory with creative industry applications, contributing to the university's mission in arts-focused business education within the UK higher education landscape. His research centers on digital consumer interactions, with primary interests in social media marketing dynamics, user-generated content ecosystems, and service failure/recovery mechanisms in digital environments. He employs qualitative methodologies including thematic analysis and symbolic interactionism to examine millennial consumer behavior, particularly in fashion and online communities. His work integrates theoretical frameworks like commitment-trust theory and actor-network theory to decode complex brand-customer relationships. Analysis of his 2020-2025 publications reveals consistent focus on digital brand engagement during crises, especially pandemic-induced behaviors like panic buying and misinformation spread. Key trends include influencer-mediated service recovery, negative word-of-mouth dynamics, and brand community loyalty mechanisms. His research demonstrates strong interdisciplinary connections between marketing, psychology, and social media studies, with increasing methodological innovation in AI-driven qualitative analysis.

Minyu ChangView profile

Assistant Professor

• Cognitive Psychology
• Memory Research
• Metacognition
• +5 more

Dr. Minyu Chang is a cognitive psychologist and faculty member in the Department of Psychology at Trinity University, where she directs the Memory & Metacognition Lab. Her research investigates how memory errors occur, how people monitor and regulate their learning, how memory is shaped by semantic and contextual knowledge, and how these cognitive processes change across the human lifespan. Dr. Chang received her BSocSc in Psychology from the University of Hong Kong (2017), followed by a Ph.D. in Psychology from Cornell University (2022) under Dr. Charles Brainerd. She completed a postdoctoral fellowship at McGill University (2022-2024) with Dr. Brendan Johns before joining Trinity University. Her research employs behavioral experiments, mathematical models, and computational approaches to examine memory and metacognitive processes. She has made significant contributions to understanding false memory phenomena, particularly the distinctions between semantic and phonological false memories, demonstrating they follow different developmental trajectories and respond differently to experimental manipulations. Her work strongly supports fuzzy-trace theory's distinction between verbatim and gist memory processes. Dr. Chang's publications span top journals including Journal of Experimental Psychology, Psychonomic Bulletin & Review, and Memory & Cognition. Her research shows consistent patterns where semantic illusions increase with age in childhood while phonological illusions decrease, and hybrid list effects differ between short-term and long-term memory. Recipient of the 2021 Psychonomic Society Graduate Conference Award Recipient of the 2020 Psychonomic Society Graduate Conference Award Active research program with publications through 2025 Research has implications for cognitive aging and memory disorders As an educator, Dr. Chang teaches Fundamentals of Cognition and Memory and Cognition courses while mentoring undergraduate researchers in her lab. She encourages student applications at least two weeks before pre-registration and maintains an active research program integrating computational models with theoretical frameworks in memory research.

Aaron MitchelView profile

Associate Professor

• Speech Perception
• Language Development
• Multisensory Integration
• +6 more

Aaron Mitchel is an Associate Professor of Psychology at Bucknell University, where he conducts research on speech perception, language development, and multisensory integration. He teaches courses including Introduction to Psychology, Psychological Statistics, Sensation and Perception, Applied Research Methods in Sensation & Perception, and Face Perception. Educational Background: B.A. with honors in Psychology from Macalester College (2005) M.S. in Psychology from Pennsylvania State University (2008) Ph.D. in Psychology from Pennsylvania State University (2011) Mitchel's research investigates mechanisms underlying early stages of speech perception and language development within a multisensory environment. His work focuses on four main areas: 1) how learners utilize facial cues to comprehend speech, 2) perceptual learning mechanisms that track input from multiple senses, 3) individual differences in multisensory integration abilities related to social/cognitive functioning, and 4) using eye tracking technology to reduce medication errors. His research employs behavioral, eye-tracking, genetic, and neuroimaging techniques, often involving undergraduate students in the research process. His publication record demonstrates a strong focus on multisensory integration in speech perception and language development, with particular attention to visual contributions to speech processing. The research spans cognitive psychology, linguistics, and neuroscience, often examining how visual information complements auditory information in speech perception tasks. Mitchel frequently collaborates with colleagues like D.J. Weiss and has engaged in interdisciplinary work with clinicians at the Geisinger Autism and Developmental Medicine Institute. Mitchel has received support from the Bucknell-Geisinger Research Initiative for his work investigating clinical determinants of multisensory integration functioning. He collaborates with faculty in engineering and pharmacists at Geisinger Health System on projects aimed at reducing medication errors through eye tracking technology. Mitchel directs the Multisensory Speech Perception (MSP) Lab, where he works closely with undergraduates on research projects. His lab has produced numerous publications highlighting the role of visual information in speech perception and language development, with particular emphasis on how facial cues help in segmenting continuous speech.

• Artificial Intelligence
• Computer Vision
• Data Science
• +4 more

Dr. Hongda Tian is a Senior Lecturer at the University of Technology Sydney's Data Science Institute within the Faculty of Engineering and Information Technology. With a strong background in AI and data science, he focuses on translating research into practical solutions for real-world problems across multiple sectors including water, transport, energy, and retail. BSc and MEn from Beijing University of Posts and Telecommunications (2006, 2009) PhD from University of Wollongong, Australia (2015) Postdoctoral Fellow with DATA61 | CSIRO Computer Vision Scientist with Kandao Australia Pty Ltd Associate Research Fellow with University of Wollongong Dr. Tian's research spans artificial intelligence, computer vision, data science, and machine learning with a focus on practical applications. His work combines theoretical advancements with industry implementation, particularly in environmental sustainability, water management, and infrastructure monitoring. He excels at transforming real-world issues into data science problems and developing appropriate solutions that demonstrate industrial applicability to stakeholders. His publication record shows a clear trend toward applying AI to critical infrastructure and environmental challenges, with recent work focusing on water quality prediction, electricity price forecasting, carbon intensity modeling, and bushfire smoke detection. These publications appear in top journals including International Journal of Computer Vision, IEEE Transactions on Image Processing, and IEEE Transactions on Multimedia. 2025 The Australian Financial Review AI Awards (Sustainability category) 2024 NSW iAwards Winner for Sustainability & Environmental Solution 2024 NSW Merit iAwards for Government & Public Sector Solution 2024 Distilling Research Impact 2023 NSW Merit iAwards for Sustainability & Environmental Solution Chinese Government Award for Outstanding Self-financed Students Abroad Dr. Tian has secured approximately $1.07 million in external research funding as Chief Investigator since 2020 and has led or delivered over 15 research innovation projects with government and industry partners. His projects span multiple sectors including water (Dynamic Prediction of Raw Water Quality, Water Quality Prediction for Drinking Water Delivery Systems), transport (Structural Health Monitoring for Sydney Harbor Bridge, Computer Vision-Based Track Defect Detection), energy (Electrical Network-Related Incidents Prediction), and retail (Woolworths Endcap Compliance). He serves on thesis examination committees and as an editorial board member and reviewer for over 20 peer-reviewed journals and conferences.

• Natural Language Processing
• Text Mining
• Information Extraction
• +3 more

Claire Grover is a Senior Research Fellow at the Institute of Language, Cognition and Computation within the School of Informatics at the University of Edinburgh. Her research bridges computational linguistics with real-world applications in public health, urban studies, and digital humanities through advanced Natural Language Processing techniques. Her primary research interests include Natural Language Processing, Text Mining, Information Extraction, Named Entity Recognition, and Corpus Linguistics. She specializes in developing robust NLP methodologies for domain-specific challenges, particularly in clinical text analysis, historical document processing, and geospatial text mining. Her work emphasizes practical implementation and evaluation of NLP systems for reliable real-world deployment. Recent publications (2021-2025) demonstrate a clear trend toward interdisciplinary NLP applications: using topic modeling of local news to study neighborhood health effects, evaluating clinical NLP tools for stroke phenotype extraction, and scaling historical text analysis frameworks. These works consistently address methodological reliability and cross-domain adaptability of text analytics systems. No scientific awards were mentioned in the available information. Dr. Grover has secured significant research funding as Principal Investigator for projects including ‘Leveraging routinely collected and linked research data to study mental disorders’ (MRC), ‘Empowering elderly people in healthcare conversations’ (EU), and ‘Words on the Street: Digital Literary Cityscape’ (AHRC). Her collaborative network spans computer science, healthcare, and social sciences, with evidence of student supervision through ‘Supervised Work (1)’. She actively contributes to the Language, Interaction, and Robotics group and Edinburgh Neuroscience initiative, participating in interdisciplinary teams that combine computational expertise with domain knowledge. Her media-covered Trading Consequences project exemplifies her approach to transforming historical trade analysis through text mining.

• Phonetics
• Acoustic Phonetics
• Prosody
• +5 more

John Tøndering serves as Associate Professor in the Department of Nordic Studies and Linguistics at the University of Copenhagen's Faculty of Humanities, where his research centers on acoustically grounded phonetics with specialized focus on prosody (stress, intonation, and rhythm) in Danish speech. His primary research domains include the interplay between prosodic and grammatical structure in spoken language, regional prosodic variation across Danish dialects, rhythm patterns in Danish variants, and acoustic speech analysis. Current projects investigate regional accent recognition mechanisms, aspiration time-vowel height relationships in stop consonants, and standardization of the Prosody in Use Battery (PUB) for clinical speech assessment. Analysis of his 2015-2020 publications reveals consistent methodological rigor combining electrophysiological and behavioral approaches to examine speech perception under varying attention conditions, lexical competition dynamics, and prosodic function recognition. His work bridges theoretical linguistics, cognitive neuroscience, and clinical applications, with significant contributions to regional dialect identification and speech pathology assessment tools. His scientific recognition includes: Årets Harald - Undervisningsprisen (Teaching Prize) awarded in 2011

• Cognitive Psychology
• Neuroscience
• Language Production
• +5 more

Karin Humphreys is an Associate Professor in the Department of Psychology, Neuroscience & Behaviour at McMaster University. Her research focuses on cognitive mechanisms underlying language production, tip-of-the-tongue states, speech errors, and the impact of medical terminology on public health understanding. Primary research areas: Cognitive Psychology, Neuroscience, and Psycholinguistics Key contributions: Implicit learning in language errors, aging-related memory studies, and autism communication research Research Trends : Recent work (2022-2015) examines attentional mechanisms (desirable difficulty effects), speech rhythm in impaired speakers, self-triage decision-making, and cognitive control in video game players. Publications span journals like Cognition , Frontiers in Psychology , and PLoS ONE . Teaching Contributions : Has instructed courses in psychometrics, human cognition, quantitative methods, and advanced psychology topics (2001-2025). Notable courses include PSYCH 3MT3 (Psychometrics) and PNB 2XA3 (Human Perception & Cognition).

Kenneth PughView profile

Professor

• Reading Development
• Dyslexia
• Neuroimaging
• +5 more

Kenneth Pugh is a Professor in the Department of Psychological Sciences at the University of Connecticut. He holds significant leadership positions including President and Director of Research at Haskins Laboratories, and adjunct appointments as Associate Professor in the Child Study Center and Department of Diagnostic Radiology at Yale University School of Medicine. He directs the Yale Reading Center and co-leads the Yale-Haskins Teagle Foundation Collegium on Student Learning. Education: Ph.D. in Experimental Psychology, The Ohio State University, 1990 M.A. in Experimental Psychology, The Ohio State University, 1987 B.S. in Psychology, Summa Cum Laude, New York Institute of Technology, 1982 His research investigates neurobiological foundations of reading and language using advanced neuroimaging techniques. Focus areas include dyslexia, reading development across languages, neurochemical predictors of literacy, genetic influences on cognition, and brain plasticity during learning interventions. His work integrates cognitive neuroscience with educational applications. Recent publications demonstrate a focus on longitudinal neuroimaging studies of reading acquisition, neural predictors of literacy outcomes, cross-linguistic comparisons (including Chinese), and genetic-neurocognitive interactions. Key methodologies include fMRI, MRS, and behavioral assessments across diverse developmental populations. Principal Investigator roles include: A-214: Neurochemistry as a moderator of brain networks for reading A-202: Neurocognitive bases of treatment resistance in developmental dyslexia (subcontract) A-222: Tracking neurocognitive changes during evidence-based reading instruction He directs interdisciplinary teams at the Yale Reading Center and Haskins Global Literacy Hub, focusing on translational research connecting neuroscience with educational practice.

Janet FultonView profile

Adjunct Associate Professor

• Journalism
• Creative Industries
• Media Entrepreneurship
• +7 more

Dr. Janet Fulton is an Adjunct Associate Professor at the RMIT University School of Media & Communication, Australia. Her research focuses on journalism , creative industries , media entrepreneurship , and work-integrated learning . She is actively involved in PhD and Masters research supervision. Institution: RMIT University, Australia Email: janet.fulton@rmit.edu.au Research Themes: Audience responses to news, diversity in media representation, creative ecosystems in journalism, and slow journalism practices in remote communities. Her recent articles (2024–2025) analyze news consumption behaviors , diversity gaps in journalism , and creative frameworks in media production . She explores how audiences verify news , regional journalism integrates with creative industries , and policy responses to climate crises neglect cultural dimensions . Collaborations with researchers like Park S, Fisher C, and Scott P highlight interdisciplinary approaches to media studies.

Bogi PerelmutterView profile

Teaching Professor

• Hungarian Culture
• Jewish Culture
• Translation Studies
• +4 more

Dr. Bogi Perelmutter (they/them or e/em) is an Assistant Teaching Professor in the Department of Slavic, German, and Eurasian Studies at the University of Kansas. A Hungarian Jewish immigrant, they earned their PhD in Speech, Language, & Hearing from KU in 2022. Their interdisciplinary work bridges linguistic research, cultural studies, and science fiction scholarship. Research Focus Dr. Perelmutter's research explores: Linguistic and societal aspects of Hungarian and Jewish cultures in historical-political contexts Translation studies and cross-cultural adaptation Atypical language acquisition through laboratory research Gender nonconformity in literature through a Jewish studies lens Academic Contributions They have taught diverse courses including: Introduction to Slavic Folklore Jewish Mysticism and actively contributes to the KU Gunn Center for the Study of Science Fiction . Their research has been recognized with the Hadassah-Brandeis Institute Jewish Gender Studies Research Award for analyzing gender nonconformity in Zsuzsa Kántor's works.