جست‌وجوی استاد و پژوهشگر

Maria Gendronمشاهده پروفایل

استادیار

• Emotion Perception
• Cultural Psychology
• Affective Neuroscience
• +۳ مورد دیگر

Maria Gendron is an Assistant Professor in the Department of Psychology at Yale University, where she directs the Affective Science and Culture Lab. Her research examines how emotions emerge through dynamic interactions between social, cognitive, and cultural systems, challenging universalist perspectives on emotion. She employs multidisciplinary methodologies including neuroimaging meta-analyses, cross-cultural fieldwork with indigenous communities, and ambulatory physiological assessments. Research Focus : Dr. Gendron investigates: The role of conceptual/semantic systems in constructing emotional experiences Cultural variation in emotion perception across diverse societies Bio-behavioral synchrony in emotion development Linguistic influences on affective processing Her work integrates frameworks from affective neuroscience and cultural psychology to understand emotion diversity. Publication Trends : Her 15 most recent articles (2010-2025) focus on deconstructing emotion universality through cross-cultural comparisons, with recurring themes of: Cultural relativity in facial/vocal emotion interpretation Language as a contextual framework for emotion Conceptual and semantic mechanisms underlying affect Methodological innovations for studying emotion diversity Lab Leadership : She directs the Affective Science and Culture Lab at Yale, advancing research on emotion perception using multimodal approaches including behavioral experiments, physiological monitoring, and fieldwork.

• Creole linguistics
• Language contact and multilingualism
• Syntax of Gbe and Kwa languages
• +۳ مورد دیگر

Prof. dr. Enoch O. Aboh is Professor of Linguistics at the University of Amsterdam , Faculty of Humanities, Department of Literature and Linguistics. His office is located at Spuistraat 134, room 647, and he can be contacted at e.o.aboh@uva.nl . Research Interests: Prof. Aboh’s work lies at the intersection of formal syntax, language contact, and learnability. He investigates creole formation , multilingual ecologies , Gbe and Kwa syntax , cartographic approaches to clause structure , and sign language morphosyntax . A recurring theme is the emergence and evolution of grammatical systems under contact, approached through both descriptive fieldwork and formal theoretical modelling. His publications reveal a methodological breadth spanning experimental studies with kindergarteners on statistical learning, computational detection of loanwords, and fine-grained syntactic analyses of serial verb constructions, predication patterns, and determiner systems. This spectrum underscores his commitment to integrating cognitive, typological, and formal perspectives on language. Awards & Recognition: While no specific prizes are listed in the current material, Prof. Aboh’s extensive editorial and collaborative work—evidenced by numerous co-edited volumes and Festschrift contributions—attests to his standing in the field. Students & Grants: Details on PhD advisees or funded projects are not provided in the source text. Labs & Teams: No dedicated laboratory or research group names are mentioned, yet his affiliation with the Amsterdam Center for Language and Communication (ACLC) can be inferred from the institutional context.

• Corpus Linguistics
• Learner Corpora
• Translation Studies
• +۱۰ مورد دیگر

Assoc. Prof. Dr. Ali Şükrü Özbay currently serves as an Associate Professor at Karadeniz Technical University's Faculty of Arts, Department of English Language and Literature. He earned his PhD and MA in Applied Linguistics from Karadeniz Technical University and holds a BA in English Language and Literature from Ankara University. Education : PhD (2015) and MA (2004) from Karadeniz Technical University; BA (1996) from Ankara University Dr. Özbay's research focuses on Corpus Linguistics , Learner Corpora , Academic Writing , Translation Studies , and Language Pedagogy . His work investigates lexical bundles, support verb constructions, and pragmatic markers through computational corpus analysis. Recent publications analyze four-word recurrent expressions in educational technology contexts, collocational priming in Turkish EFL learners' mental lexicon, and semantic prosody of intensifiers in academic corpora. He supervises theses on data-driven learning applications and corpus-based teaching materials. Dr. Özbay has held managerial roles including Deputy Head of Department (2019–present) and Assistant Coordinator for Erasmus+ programs (2017–2021). He actively participates in international conferences and has published in journals like Turkish Studies , Australian Journal of Applied Linguistics , and Hacettepe Eğitim Dergisi .

J. Elliott Casalمشاهده پروفایل

استادیار

• Applied Linguistics
• Corpus Linguistics
• Corpus-based Language Teaching
• +۷ مورد دیگر

J. Elliott Casal serves as an Assistant Professor in the Department of English at the University of Memphis, where his research centers on applied linguistics with emphases in corpus linguistics, discipline-specific writing, and genre-based language pedagogy. His work bridges theoretical frameworks with practical applications for language teaching and academic literacy development across diverse disciplinary contexts. His academic credentials include: Ph.D. (2016-2020) from Pennsylvania State University M.A. (2012-2014) from Ohio University B.A. (2004-2008) from Ohio University Casal's research investigates functional linguistic conventions in professional communication, development of discipline-specific literacies, and corpus tool integration in language education. His scholarship critically examines syntactic complexity, phraseological patterns, and academic literacy across disciplines through both quantitative corpus analysis and qualitative assessments of learner agency, creativity, and intentionality in writing development. Analysis of his 15 most recent publications (2019-2024) reveals consistent focus on corpus-driven methodologies applied to academic writing across STEM and humanities disciplines. Key trends include syntactic complexity development in L2 legal writing, AI-writing detection ethics, frame-based formulaic features in academic genres, and cross-disciplinary variation in research article structures, demonstrating evolving applications of corpus linguistics to contemporary language education challenges.

Joyce M. McDonoughمشاهده پروفایل

استاد

• Phonetics
• Phonology
• Morphology
• +۵ مورد دیگر

Joyce M. McDonough is a faculty member at the University of Rochester specializing in Linguistics, with a focus on the mental lexicon and complex morphologies in Dene (Athabaskan) languages. She collaborates extensively with the Auditory Neuroscience Lab led by PI Laurel Carney (BME) to model neural representations of speech. Research Interests: Phonetics, Phonology, Morphology, Laboratory Phonology, Dene Linguistics, Neural Coding of Vowels Courses: LING 107, LING 210/410, BME/LING 216/416, LING 227/427, LING 237/437, LING 527, LING 529, LING 537 Her recent work explores the intersection of auditory neuroscience and linguistic theory, particularly in speech coding and vowel representation. She contributes to language documentation through projects like the Dene Speech Atlas (2013, updated 2017), which provides interactive resources for preserving speech patterns in under-resourced communities.

Haris Ćatovićمشاهده پروفایل

پژوهشگر

• Dialectology
• Lexicography
• Ethnolinguistics
• +۲ مورد دیگر

Dr. Haris Ćatović is a Researcher at the Institute of Language, University of Sarajevo, specializing in dialectology, lexicography, and ethnolinguistics. He has been employed since 2014 and served as a part-time assistant at the Faculty of Political Sciences. PhD in Linguistic Bosnian Studies (2023, University of Sarajevo) Master of Science in Linguistics (2017, Džemal Bijedić University) Bachelor in Bosnian Language and Literature (2013, Džemal Bijedić University) His research focuses on Bosnian dialectology, particularly analyzing jat reflexes, Kunovian script, and Southeast Bosnian speech patterns through historical surveys (1897) and modern dialectal complexes (1975–1986). He contributes to major lexicographic projects like Dževad Jahić's Rječnik bosanskog jezika and the Sandžački rječnik . Key publications include studies on phonological systems, cultural lexicon, and orthoepic norms. He received the 2020 University of Sarajevo award for his chapter in the Bosanski akcenatski priručnik . Active in academic conferences, he presented at events in Budapest, Ljubljana, Skopje, and Sarajevo.

• Syntax
• Discourse Analysis
• Contrastive Linguistics
• +۳ مورد دیگر

Milivoj Alanović is a Professor in the Department of Serbian Language and Linguistics at the Faculty of Philosophy, University of Novi Sad. With a Doctorate in Philological Sciences (2010), his career spans syntax, discourse analysis, and contrastive linguistics with a focus on Serbian language structures. Education: Graduated (2000), Master's (2004), Doctorate (2010) from the Faculty of Philosophy, University of Novi Sad Research centers on the interface of lexis and grammar, semantic resources of syntactic units, and connections between language, thought, and context. His work extends to cognitive and constructional grammar, with a strong emphasis on Serbian language analysis. Publications include 8 monographs (e.g., German-Serbian Contrastive Grammar series) and over 90 works, reflecting collaborations across Serbia, Republika Srpska, Austria, Germany, Croatia, Romania, Russia, and Japan. As a mentor, he has guided diploma, master's, and doctoral theses, including supervision of one doctoral thesis. His scholarly output demonstrates sustained contributions to syntax and contrastive grammar research.

• Foreign Language Education
• Second Language Acquisition
• Corpus Linguistics
• +۳ مورد دیگر

Randy Fred Appel is an Associate Professor at Waseda University's Global Education Center, with a PhD in Education (Applied Linguistics) from Concordia University. His academic career includes prior roles as Assistant Professor at Waseda University (2017-2021), Research Assistant at Concordia University (2014), and teaching positions at Concordia, Carleton University, and Algonquin College. Education: PhD (2017) and MA (2011) in Applied Linguistics from Concordia and Carleton Universities, respectively. Appel's research focuses on L2 English academic writing, corpus linguistics, formulaic sequences, and L1-related differences. His work examines lexical bundles, linking adverbials, and metadiscourse features in cross-linguistic contexts, with applications in language assessment and pedagogy. Recent projects include analyzing French for Academic Purposes assessments and developing automated measures for lexical sophistication in writing tasks. His publications span journals like English for Specific Purposes , System , and Journal of English for Academic Purposes , with a 2025 paper on interactional metadiscourse in business writing and 2023 studies on linking adverbials across Asian learner groups. He has received significant funding, including a Japan Society for the Promotion of Science Grant-in-Aid for Early-Career Scientists (2020-2022). Scientific Awards: SSHRC Doctoral Fellowship (2014), Concordia Graduate Fellowship (2012), Ontario Graduate Scholarship (2009) Appel has contributed to curriculum development through syllabi for Academic Writing and Discussion in English courses at Waseda's Global Education Center (2025). He actively participates in academic conferences, including the Language Testing Research Colloquium (2022) and Asia TEFL Conference (2019). His service includes peer reviewing for journals like System and International Journal of Business Governance and Ethics .

Haiyang Aiمشاهده پروفایل

دانشیار

• Corpus Linguistics
• Natural Language Processing
• Second Language Acquisition
• +۳ مورد دیگر

Haiyang Ai is an Associate Professor in the Literacy and Second Language Studies program at the University of Cincinnati's School of Education. His research applies corpus linguistics and natural language processing to investigate second language acquisition, writing complexity, and bilingual language processing. His educational background includes a Ph.D. in Applied Linguistics from The Pennsylvania State University (2015), an M.A. in Linguistics & Applied Linguistics from the University of Chinese Academy of Sciences (2006), and a B.A. in English from Shaanxi Normal University (2003). Dr. Ai's research spans corpus linguistics, natural language processing, second language acquisition, and computer-assisted language learning. He specializes in compiling and analyzing native and learner corpora to develop intelligent language learning systems and investigate lexical/syntactic complexity in L2 writing. His methodological approach integrates computational tools with theoretical linguistics to address practical language teaching challenges. His recent publications (2019-2023) demonstrate consistent focus on lexical bundles in professional communication, automating complexity measurement in Chinese, speech perception mechanisms in bilinguals, and grammatical puzzles in English learning. These works bridge corpus-based analysis with psycholinguistic experimentation across diverse subfields including morphosyntax, pragmatic competence, and cognitive processing in L2 acquisition. Dr. Ai has secured multiple University of Cincinnati grants including three CECH Faculty Development Grants ($2500 in 2017-2018 for verb-noun collocation research, $2000 in 2016-2017 for corrective feedback tools) and the NCFDD Faculty Success Program ($3250 in 2017), all supporting his development of computational language learning resources.

Torsten Steinhoffمشاهده پروفایل

استاد

• Writing Didactics
• Vocabulary Didactics
• Digital Communication in Education
• +۷ مورد دیگر

Torsten Steinhoff is a Professor of Didactics of the German Language at the Department of Germanic Studies, University of Siegen, Faculty of Arts and Humanities. His research and teaching focus on theoretical, methodological, and empirical aspects of language acquisition and instruction from elementary to university levels. His primary research interests include: Writing didactics (Schreibdidaktik) Vocabulary didactics (Wortschatzdidaktik) Language-specific and disciplinary learning (Sprache im Fach) Digital communication and AI in education Development of complex learning arrangements (Lernarrangements) Steinhoff investigates how digital tools like ChatGPT can be integrated into writing instruction, promoting argumentative writing through structured learning tasks. His recent work (2023–2025) analyzes human-AI collaboration in writing, proposing models such as GPT as Ghost, Partner, or Tutor. He emphasizes a post-digital didactic approach, balancing traditional literacy with digital competencies. His publications reflect a strong trend in digital transformation of writing, multilingual education, and empirical interventions in secondary classrooms. He leads research projects funded by BMBF and MKW NRW, including the "AI Writing Arrangements" project tested in 8th-grade classes. Scientific contributions and collaborations: Co-editor of research handbooks on empirical writing didactics Collaborator with scholars like Nicole Marx, Katrin Lehnen, and Joachim Grabowski Active contributor to journals such as Didaktik Deutsch , BiSS-Journal , and Waxmann publications Hosts a research team at lernarrangements.de He advises on academic language development, text procedures, and vocabulary transfer across modalities and subjects. His lab develops open educational resources (OER) for digital writing and communication, contributing to platforms like Twillo.

Wei Dingمشاهده پروفایل

استاد

• Knowledge Discovery
• Data Mining
• Machine Learning
• +۷ مورد دیگر

Wei Ding is a Professor in the Department of Computer Science at the University of Massachusetts Boston (UMass Boston). She earned her Ph.D. in Computer Science from the University of Houston in 2008. From 2019 to 2023, she served as a Program Director at the National Science Foundation's Division of Information and Intelligent Systems (IIS), overseeing programs in Information Integration, Smart Health, Deep Learning Foundations, and Scalable Systems. Her research integrates knowledge discovery, data mining, and machine learning with applications spanning health sciences, astronomy, geosciences, and environmental sciences. She employs advanced techniques like spatio-temporal modeling, deep neural networks, and semantic analysis to address complex real-world problems such as disease subtyping, physical activity prediction, and environmental forecasting. Her work emphasizes interdisciplinary collaboration and societal impact. Analysis of her recent publications reveals a focus on AI-driven healthcare solutions (e.g., neuroimaging biomarkers, disorder diagnosis), fundamental ML advancements (e.g., generalization, GAN stability), and cross-domain applications (e.g., climate forecasting, animal behavior analysis). Recurring themes include low-data learning, interpretability, and scalable algorithms. Awards & Honors: IEEE Fellow (2023) NSF Director's Award (2022) WISAY Distinguished Woman in Science Award, Yale University (2019) AI for Earth Award (2018) Best Paper Awards (ICTAI 2011, ICCI 2010) Advising & Grants: She mentors PhD and Master’s students in the Knowledge Discovery Lab (KDLab), with alumni at institutions like Facebook, Google, and McKinsey. Her research is funded by NSF, NIH, NASA, and DOE, including: NIH R01: Predicting youth physical activity (2016) NSF EAGER: Machine learning for cancer subtyping (2017) NIH R01: Accelerometer/gyroscope data for activity estimation (2022) Leadership: She directs the KDLab and co-founded the Women in Sciences Club (WINS). She serves as Associate Editor for ACM TKDD, TIST, and KAIS journals.

• Natural Language Processing
• Text Simplification
• Emoji Analysis
• +۹ مورد دیگر

Dr Matthew Shardlow is a Reader in the Department of Computing and Mathematics at Manchester Metropolitan University . His career spans teaching and research, with a focus on Natural Language Processing (NLP) and its applications in Text Mining across disciplines like Neuroscience , Chemistry , Finance , and Journalism . He leads the Natural Language Processing Lab , which explores the use of Large Language Models (LLMs) in text-based applications. Key research areas include: Text Simplification : Developing methods to make complex texts accessible. Emoji Analysis : Understanding emoji usage in language and machine interpretation. Text Mining : Applying NLP to diverse fields like healthcare and education. Matthew’s recent publications highlight advancements in LLMs , lexical simplification , biomedical text processing , and AI ethics . He actively mentors BSc , Master’s , and PhD students aligned with his interests and maintains collaborations through the OpenMinTeD project and National Centre for Text Mining . Contact: m.shardlow@mmu.ac.uk .

• Applied Mathematics
• Mathematical Biology
• Epidemiology
• +۴ مورد دیگر

Paul Tupper is a Professor in the Department of Mathematics at Simon Fraser University (SFU), part of the Faculty of Science. He holds a Ph.D. in Scientific Computing from Stanford University (2002). His research focuses on applied mathematics with emphasis on mathematical modeling in epidemiology, speech perception, neural networks, and computational linguistics. He teaches advanced courses in probability, numerical linear algebra, and calculus for social sciences. His work bridges theoretical mathematics and real-world applications, particularly in understanding complex systems like disease transmission dynamics and cognitive processes. Recent studies include modeling the transition of pandemics to endemic states, genomic analysis of viral spread, and audio-visual perception mechanisms in speech. He actively contributes to public health policy discussions through epidemic modeling research. Professor Tupper's research has been published in high-impact journals and conferences, with notable contributions to diversity metrics in biology and geometry, stochastic differential equations, and connectionist models of linguistic phenomena. His courses reflect interdisciplinary interests, integrating mathematical rigor with practical computational methods.

David R. Kauchakمشاهده پروفایل

استاد

• Natural Language Processing (NLP)
• Text Simplification
• Machine Learning
• +۳ مورد دیگر

David R. Kauchak is a Professor of Computer Science at Pomona College, part of The Claremont Colleges. He has been affiliated with the institution since 2014. His academic background includes a Ph.D. (2006) and M.A. (2006) in Computer Science from the University of California, San Diego, and a B.S. (2005) in Computer Science from the University of Utah. His research focuses on Natural Language Processing (NLP) , particularly text simplification , aiming to reduce text complexity while preserving content. Applications include improving health literacy through simplified medical text and enhancing accessibility of technical documents. He has also contributed to machine learning methodologies and information retrieval systems. Key awards include the Distinguished Poster Award at AMIA 2016 and the Best Undergraduate Paper Award at SocalNLP 2018. His work frequently addresses interdisciplinary challenges in healthcare communication, education technology, and software tool development. Teaching highlights include courses in Artificial Intelligence , Algorithms , Natural Language Processing , and foundational computer science modules. He has advised numerous projects in computational linguistics and health informatics, though specific student names are not explicitly listed in the provided materials. His collaborations span academic and medical domains, including joint research with institutions like the University of Utah and projects funded through initiatives like the German Climate Modeling Initiative (though this appears unrelated to his primary work). He maintains an active presence in academic conferences, publishing in venues such as ACL, AMIA, and IEEE journals.

Bianca Bascianoمشاهده پروفایل

دانشیار

• Chinese Linguistics
• Mandarin Morphology
• Syntax-Semantics Interface
• +۵ مورد دیگر

Bianca Basciano is an Associate Professor at the Department of Asian and North African Studies , Ca' Foscari University of Venice, where she has held the Director's Delegate for Research role since 2023. Her work focuses on Chinese linguistics , particularly Mandarin morphology, syntax, and second language acquisition. Research Areas: Chinese compounding, reduplication, causative constructions, resultative compounds, and language teaching methodologies. Teaching: Offers BA/MA courses in Chinese language and linguistics at Ca' Foscari University. Editorial Roles: Member of the editorial boards for Sinica Venetiana and Lingue e Linguaggio . Research Projects: Principal investigator for the PRIN 2020 project on Italian learners' acquisition of Chinese resultative verbs, with extensive corpus-based analysis. Collaborates with Giorgio Arcodia and other international scholars. Key Themes: Event structure delimitation, Vendlerian verb classes, micro-parametric syntactic variation. Publications: Over 40 works including monographs with Oxford University Press and Bologna University Press. Her methodological approach combines theoretical linguistics with corpus analysis, contributing to the understanding of Chinese as both a linguistic system and a second language acquisition challenge. She has also organized international conferences like the 31st IACL Annual Meeting.