جست‌وجوی استاد و پژوهشگر

Ricardo Gutierrez-Osunaمشاهده پروفایل

استاد

• Machine Learning
• Speech Processing
• Digital Health
• +۴ مورد دیگر

Ricardo Gutierrez-Osuna is a Professor in the Department of Computer Science and Engineering at Texas A&M University, part of the College of Engineering. He leads the PSI Lab and focuses on machine learning, speech processing, and digital health applications. His research spans topics like wearable sensors, foreign accent conversion, and physiological monitoring. Education: Ph.D. (Computer Engineering, NC State, 1998), M.S. (Computer Engineering, NC State, 1995), B.S. (Electrical Engineering, Universidad Politécnica de Madrid, 1992). Research interests include intelligent sensors, speech processing, machine learning, neuromorphic computation, and mobile robotics. His work bridges computer science and biomedical engineering, with applications in health monitoring and human-computer interaction. Awards: NSF CAREER Award (2002) Ramón y Cajal Award (2005-2010) Texas A&M Barbara and Ralph Cox Fellow (2009) Multiple teaching awards (2009-2010) His lab develops innovative technologies like stress-detecting wearables, biofeedback games, and systems for non-native speech improvement. He collaborates on projects involving voice conversion, glucose prediction algorithms, and multi-modal sensing devices.

Mohammad T. Alhawaryمشاهده پروفایل

استاد

• Arabic Second Language Acquisition
• Arabic Language Pedagogy
• Bilingualism
• +۹ مورد دیگر

Mohammad T. Alhawary is Professor of Arabic Linguistics and Second Language Acquisition at the University of Michigan's Middle East Studies department within the College of Literature, Science, and the Arts. He serves as Director of both the MA Program in Arabic for Professional Purposes (APP) and the MA Program in Teaching Arabic as a Foreign Language (TAFL). His educational background includes a Ph.D. from Georgetown University (1999). Prior to joining the University of Michigan, he contributed to developing Arabic and Middle Eastern Studies programs at various US institutions. Professor Alhawary's research spans both theoretical and applied Arabic linguistics, with particular focus on second language acquisition processes. His work examines how factors like age, input quality, output practice, and first language transfer affect Arabic language learning. He has made significant contributions to understanding Arabic language pedagogy, curriculum design, proficiency testing, and the application of technology in language learning. His research also extends to bilingualism, multilingualism, language impairment, and Arabic medieval grammatical traditions. His publications reflect a strong trajectory in Arabic linguistics research, with recent works focusing on practical language teaching applications, reading comprehension mechanisms, code-switching patterns in digital communication, and multilingual acquisition processes. The 2023 publication 'Teaching Arabic as a Foreign Language' represents his latest contribution to language pedagogy methodology. 2019 AATA Book Award for 'Arabic Second Language Learning and Effects of Input, Transfer, and Typology' As an academic leader, Professor Alhawary serves as Executive Director of the American Association of Teachers of Arabic and edits both the Journal of Arabic Linguistics Tradition and Al-'Arabiyya journal. He continues to develop empirical research on Arabic second language acquisition to inform teaching practices both in America and globally.

Andrew Lanمشاهده پروفایل

دانشیار

• Artificial Intelligence in Education
• Educational Data Mining
• Personalized Learning
• +۵ مورد دیگر

Andrew Lan is an Associate Professor in the College of Information and Computer Sciences at the University of Massachusetts Amherst, where he also serves as the CS Undergraduate Program Director. He was granted tenure by the UMass Board of Trustees in June 2025 and is currently on leave through Spring 2026. His research focuses on developing human-in-the-loop machine learning methods to enable scalable, effective, and personalized learning experiences in education. Dr. Lan received his BS in Physics and Mathematics from the Hong Kong University of Science and Technology, followed by his MS (2014) and PhD (2016) in Electrical and Computer Engineering from Rice University. He completed postdoctoral research at Rice University (2016) and Princeton University's EDGE Lab (2017-2018). His research spans artificial intelligence for education, with particular expertise in educational data mining, knowledge tracing, personalized learning systems, and human-AI collaboration in educational contexts. Dr. Lan's work leverages massive and multimodal learner and content data collected from both traditional classrooms and online learning platforms to develop systems that deliver high-quality, affordable, and personalized learning experiences. He has made significant contributions to areas including computerized adaptive testing, math word problem generation, student affect detection, and automated grading systems. His recent work increasingly focuses on leveraging large language models for educational applications while maintaining rigorous scientific validation of these approaches. Best Student Paper Award at the 2024 AIED Conference (with Alexander Scarlatos) Best Paper Nominee at LAK 2021 Best Student Paper Award at IEEE Big Data 2020 NAEP Math Automated Scoring Challenge Grand Prize Winner Dr. Lan actively mentors graduate students and postdoctoral researchers, with several of his advisees receiving recognition for their work. He has secured substantial funding from the National Science Foundation, including a $90M grant for the SafeInsights project, a secure cyberinfrastructure for educational research. His research group collaborates with institutions including Worcester Polytechnic Institute, University of Pennsylvania, and Rice University. He teaches undergraduate and graduate courses including COMPSCI 240 (Reasoning under Uncertainty) and COMPSCI 590OP (Applied Numerical Optimization), with a focus on the practical application of theoretical concepts in machine learning and artificial intelligence. His educational philosophy emphasizes bridging the gap between theoretical foundations and real-world implementation in educational technology.

Hong Huaqingمشاهده پروفایل

استاد

• Corpus Linguistics
• Computer-Assisted Instruction
• Machine Translation
• +۳ مورد دیگر

Hong Huaqing is a Professor and doctoral supervisor at the Corpus Research Institute of Shanghai International Studies University. He holds roles as honorary director of the Chinese Corpus Linguistics Research Association and international expert at Peking University's Education Development Center. Formerly, he worked at Nanyang Technological University (Singapore) in roles such as researcher at the Learning Research and Development Center and director of the e-Learning Center of the Lee Kong Chian School of Medicine. His research spans machine translation, natural language processing, corpus linguistics, and educational technology. He supervises master's and doctoral students, co-supervises postdoctoral researchers, and focuses on smart education driven by big data analysis and innovative learning ecosystems. Research emphasizes corpus-based methods applied to language education, including computational frameworks for student engagement, wearable sensors in learning analytics, and cross-linguistic rhetoric studies. His work bridges technological innovation (e.g., AI-driven tutorial systems) with pedagogical practice, addressing challenges in non-English language education and teacher training.

• Japanese Applied Linguistics
• Second Language Acquisition
• Language Education Policy
• +۷ مورد دیگر

Satoshi Miyazaki is a Professor at Waseda University's Graduate School of Japanese Applied Linguistics and affiliated with the Faculty of International Research and Education . With a Ph.D. from Monash University, his work bridges Japanese language education, second language acquisition, and cross-cultural communication. Education Background: Doctor of Philosophy (Japanese Applied Linguistics) - Monash University (1997) Graduate School of Japanese Applied Linguistics - Waseda University (1982) Research Interests focus on Japanese language pedagogy, natural acquisition mechanisms, and interactional strategies for non-native learners. His innovative use of Eye Mark Recorders (EMR) and Event-Related Potentials (ERP) has advanced understanding of cognitive processes in language learning. Recent Articles (2011-2001) reveal trends in Japanese language education reform, cross-cultural learning challenges, and technology-enhanced teaching methods. Key themes include correctional language programs for foreign inmates, immersion environments, and brain processing studies using advanced neuro-linguistic techniques. Research Projects have received continuous funding from Japan Society for the Promotion of Science, including prison language education programs, foreign care worker competence frameworks, and EMR-based lecture comprehension analysis. His work extends to international collaborations with institutions in Australia, the U.S., and Europe.

Wesley Willettمشاهده پروفایل

دانشیار

• Information visualization
• Human-computer interaction
• New media
• +۳ مورد دیگر

Wesley Willett is an Associate Professor in the Department of Computer Science at the University of Calgary, holding the NSERC CRC II Chair in Visual Analytics. His primary research focuses on information visualization, human-computer interaction, and new media applications. He leads the Data Experience Lab and Interactions Lab, exploring innovative methods for data representation and interaction in augmented/virtual reality environments. Education includes a B.S. in Computer Science from the University of Colorado (2006) and a Ph.D. in Computer Science from UC Berkeley (2012). His work bridges technical innovation with user-centered design principles, emphasizing ethical considerations in data visualization and inclusive representation. Key research contributions include: spatial visualization techniques for large environments, gesture-based interfaces for AR/VR, and physical data representations through projects like Cetonia (swarm robotics visualization) and Data Embroidery. His work has been recognized with Best Paper awards at CHI 2015 and Pervasive 2010. Current research emphasizes immersive analytics, wearable visualization systems, and demographically diverse anthropographics. He collaborates with urban designers, neurologists, and environmental scientists to apply visualization in diverse domains like epilepsy surgery planning and air quality monitoring.

Véronique Hosteمشاهده پروفایل

استاد

• Computational Linguistics
• Natural Language Processing
• Machine Learning
• +۷ مورد دیگر

Véronique Hoste is Senior Full Professor of Computational Linguistics at Ghent University's Faculty of Arts and Philosophy, where she serves as Department Head of Translation, Interpreting and Communication and Director of the LT3 language technology research team. She also holds the position of Research Director for the Faculty of Arts and Philosophy. Her educational background includes a PhD in Computational Linguistics from the University of Antwerp (2005) focused on optimization in machine learning for coreference resolution. Key research areas encompass machine learning for natural language processing, semantic and discourse modeling, including specialized work in event detection, entity/event coreference resolution, irony detection, and emotion analysis. Hoste's publication trends reveal strong interdisciplinary focus, with recent work bridging NLP with crisis communication, digital humanities, and ethical AI. Her team develops high-quality datasets (e.g., EmoTwiCS for emotion trajectories) and collaborates extensively with commercial partners on projects like SentEMO for aspect-based sentiment analysis. Current research emphasizes multimodal emotion analysis, fuzzy rough set methods for sentiment detection, and cross-document event coreference. Elected member of the Royal Flemish Academy of Belgium for Science and the Arts (KVAB) Francqui Chair appointment by Université Libre de Bruxelles (2023-2024) Co-founded LT3 spin-off AlfaSent (2024) for customer feedback analysis Authored first Dutch-language book on NLP: "Taaltechnologie ontrafeld" She actively supervises multiple PhD students on projects including Common-sense knowledge in irony detection (Common-sense), cross-document event coreference (Encore), and empathy modeling in conversational agents (FlandersAI). Her team secures funding through interdisciplinary collaborations like NewsDNA for news recommendation and METRICS for emotion trajectory analysis. Hoste also engages in public outreach through the "AI at school" initiative and advises on language technology integration in high school curricula. The LT3 laboratory under her leadership maintains strong industry partnerships and develops practical NLP tools including EmotioNL and Automatic Term Extraction systems, while advancing core research through projects like CLARIAH-VL for data curation.

• Applied Linguistics
• Media Discourse
• Critical Discourse Analysis
• +۱۳ مورد دیگر

Professor El Mustapha Lahlali is a distinguished academic at the School of Languages, Cultures and Societies, University of Leeds, where he holds the position of Professor of Applied Linguistics and Media. His research and teaching focus on Arabic media discourse, critical discourse analysis, translation, ideology, and pedagogy. Education: BA in Applied Linguistics MA in Applied Linguistics PhD in Critical Discourse Analysis and Classroom Discourse His research interests span Arab media and society, discourse analysis in educational and political contexts, appraisal theory, translation and ideology, and teaching Arabic as a foreign language. He has published extensively on media discourse, political rhetoric, and translation practices in Arabic contexts, contributing significantly to the understanding of linguistic strategies in media and political communication. His recent publications reflect a strong focus on discourse in conflict, media framing, translation challenges, and pedagogical development. These works collectively emphasize critical analysis of Arabic media, political transitions, and intercultural communication, revealing trends in ideological representation and linguistic power dynamics. Scientific Awards: No specific awards listed in the text. Professor Lahlali has supervised 27 PhD students to completion and currently mentors several more on topics including media translation, ideology, discourse analysis, and pedagogy. He has served as internal and external examiner for over 100 PhD theses across the UK and internationally. He has secured and contributed to numerous research grants in Arabic, linguistics, and Middle Eastern studies. His leadership extends to organizing over 45 academic events, including conferences and workshops. He is actively involved in research groups and welcomes PhD applicants in areas related to Arabic media, discourse analysis, and translation. He is a key figure in professional associations such as BATA (Founder and President), BRISMES, UCML, and APETAU.

Ares Llop Nayaمشاهده پروفایل

مدرس

• Romance Linguistics
• Historical Linguistics
• Microsyntactic Variation
• +۶ مورد دیگر

Dr Ares Llop Naya serves as an Affiliated Catalan Lecturer in the Department of Spanish and Portuguese within the Faculty of Modern and Medieval Languages and Linguistics at the University of Cambridge, while holding the Batista i Roca Fellowship at Fitzwilliam College. Her academic profile bridges theoretical linguistics with practical language pedagogy, focusing on Romance language structures and their educational applications. Her research centers on microsyntactic variation in Romance languages, particularly examining negation systems and syntactic phenomena in Catalan and Pyrenean varieties through both diachronic and synchronic lenses. She actively integrates theoretical insights into language teaching methodology, specializing in Catalan and Spanish pedagogy for both native and foreign language contexts. This dual focus manifests in her publications spanning syntactic theory, dialectology, and innovative language teaching approaches that address contemporary classroom challenges. Analysis of her publication trajectory reveals consistent thematic concentration on Romance microvariation, with recent work expanding into pedagogical applications. Her scholarship demonstrates methodological diversity—combining linguistic atlas data, corpus analysis, and classroom research—while maintaining core focus on Catalan syntax and its implications for language acquisition theory. The Pyrenean linguistic corridor remains a persistent geographical anchor across her diachronic and synchronic investigations. Dr Llop Naya's scholarly contributions have been recognized through prestigious awards: Joan Solà International Prize in Catalan Philology for her monograph on Romance negation systems Her teaching portfolio encompasses advanced courses in Romance linguistics, historical syntax, and sociolinguistics, with particular emphasis on translating theoretical frameworks into practical classroom resources. While specific grant funding details aren't publicly documented, her work consistently addresses real-world language education challenges through collaborative projects like the Microvariació.cat initiative. She contributes to the Microvariació.cat project—a digital repository documenting syntactic variation across Catalan dialects—which serves as both research infrastructure and pedagogical resource. This initiative exemplifies her commitment to creating practical applications from theoretical linguistic research while preserving endangered dialectal features of the Romance continuum.

• Corpus Linguistics
• Applied Linguistics
• Theoretical Linguistics
• +۳ مورد دیگر

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).

Laura Collinsمشاهده پروفایل

دانشیار

• Applied Linguistics
• Bilingualism
• Language Acquisition
• +۳ مورد دیگر

Laura Collins is an Associate Professor in the Department of Education at Concordia University, specializing in applied linguistics. Her research focuses on input processing in second language acquisition, pedagogical grammar, and cross-linguistic influence among bilingual speakers. She has extensive international teaching experience across diverse age groups and serves as the 2nd VP of the American Association for Applied Linguistics and Chair of the IRIS digital repository advisory board. PhD in Humanities, Concordia University MEd in Second Language Teaching, University of Ottawa BEd in Second Language Teaching, University of Toronto BA in History, York University Collins' current projects examine the use of speech technologies to extend second language classrooms and document longitudinal grammatical development in school programs. Funded by SSHRC Insight Grants, her work bridges cognitive approaches with practical pedagogical applications. Recent publications highlight trends in classroom input optimization, frequency-based phonological learning, and intensive language program efficacy, with subfields spanning morpheme perception, vocabulary distribution, and task-based interaction dynamics. Her academic leadership includes editorial roles in The Modern Language Journal and contributions to major handbooks. She teaches courses ranging from classroom-based SLA research to pedagogical grammar, emphasizing practical applications of theoretical insights.

Gyula Tankóمشاهده پروفایل

دانشیار

• Language Assessment
• English as a Foreign Language (EFL)
• Educational Testing
• +۶ مورد دیگر

Gyula Tankó is a habilitated Associate Professor at the Department of English Applied Linguistics , School of English and American Studies, Eötvös Loránd University . His research focuses on language assessment validity , particularly for advanced-level English exams. Research interests include: Constructive justification of EFL school-leaving examinations Psychometric challenges in reading and listening comprehension assessments Alignment of national language policies with assessment practices Development of analytic rating scales for EAP (English for Academic Purposes) Cognitive processes in L2 listening behaviors Selected publications address topics like: Test fairness and generalizability Impact of punctuation errors on EFL assessment CEFR taxonomy in listening evaluation His work contributes to improving language proficiency certification and university admissions in Hungary. Contact : Email: tanko.gyula@btk.elte.hu Address: Room 430, Eötvös Loránd University, Faculty of Humanities, Rákóczi út 5, Budapest, H-1088

Ji-young Shinمشاهده پروفایل

استادیار

• Language assessment
• Corpus linguistics
• Educational technology
• +۴ مورد دیگر

Ji-young Shin serves as an Assistant Professor in the Teaching Stream within Education Studies at the University of Toronto Mississauga's Department of Language Studies. Her position integrates teaching, research, and practical application in language education with emphasis on assessment innovation and technology integration. Her academic credentials include: PhD in English / Second Language Studies & ESL from Purdue University, USA MS in Educational Psychology & Research Methodology from Purdue University, USA MA in Teaching English to Speakers of Other Languages (TESOL) from Hankuk University of Foreign Studies, South Korea BA in English Education (Japanese minor) from Hankuk University of Foreign Studies, South Korea Shin's research program focuses on language assessment, corpus linguistics, and technology-mediated pedagogy. She employs mixed methods with quantitative emphasis, utilizing corpus-informed computational analysis and latent-trait modeling complemented by qualitative discourse analysis. Her work addresses critical gaps in second language acquisition, educational measurement, and digital learning environments, particularly regarding AI applications and test validation across diverse language contexts. Her publication trajectory from 2017-2025 demonstrates consistent innovation in language assessment methodologies and technology integration. Key themes include AI-powered chatbots for L2 Korean instruction, online vocabulary testing for Spanish, and corpus-based writing pedagogy. Her work shows increasing focus on artificial intelligence applications and cross-linguistic validation studies, reflecting evolving priorities in language education research. Shin has secured competitive research funding including: Global Classrooms Grant (2025–2026) for VR-enhanced intercultural competence Black, Indigenous, and/or Racialized Scholar Grant (2025–2026) for cross-border AI language learning IRCC Engage3 Project (2022–2024) as Co-PI on VR/AI educational advancement Advancement Fund Plus (2022) for generative AI in teacher education British Council Award (2019) for technology-mediated assessment development She teaches advanced courses including 'The Future of Ed Tech: Active Learning Classrooms and Artificial Intelligence' (EDS285) and supervises community-based experiential learning (EDS388). Her grant portfolio indicates active supervision of research assistants and collaboration with international teams focused on AI implementation and assessment validation. Current projects explore generative AI for language learning across diverse contexts and virtual reality applications in teacher education. While specific laboratory infrastructure isn't documented, her collaborative publications with researchers across Korea, Spain, and the United States suggest participation in international research networks focused on language assessment technology and corpus applications.

• Foreign Language Teaching
• Didactics of French
• Didactics of Spanish
• +۷ مورد دیگر

Prof. Dr. Claudia Schlaak is Professor of Language Teaching and Learning Research: Didactics of French and Spanish at the University of Kassel, where she serves as Head of the Department of Foreign Language Teaching and Learning Research. She has held this position since September 2020, following an acting professorship at the same institution from October 2018 to December 2019. Her academic work bridges theoretical research and practical application in foreign language education, with particular focus on inclusive teaching methodologies and multilingual contexts. Dr. Schlaak's research centers on foreign language teaching and learning, with special emphasis on didactics of French and Spanish, inclusive education approaches, multilingualism in educational contexts, and the integration of digital technologies in language acquisition. Her work examines how diverse language backgrounds influence learning processes, with particular attention to bilingual learners (especially German-Turkish bilinguals) acquiring Romance languages. She investigates pronunciation acquisition, text complexity, intercultural competence development, and the implementation of inclusive teaching strategies that recognize learner diversity as a resource rather than a challenge. Analysis of her recent publications reveals a strong trend toward digital learning environments, with increasing focus on virtual reality applications, 360-degree learning environments, and digital tools for pronunciation training. Her research consistently addresses multilingual contexts and inclusive approaches, with growing attention to potential-oriented teaching methodologies that shift focus from deficits to learner strengths. The interdisciplinary nature of her work connects linguistics, educational psychology, and technology-enhanced learning. Dr. Schlaak serves as co-editor of the journal Romance Language and its Didactics (since January 2019) and the series French Didactics in Dialogue (since April 2020). She has contributed significantly to academic discourse through numerous edited volumes, special journal issues, and collaborative research projects that bridge theoretical insights with practical classroom applications. Her work demonstrates strong commitment to teacher education, with multiple publications addressing pre-service and in-service teacher training, particularly regarding inclusive practices, intercultural competence development, and the integration of digital tools in language teaching. She has developed practical teaching materials, including method cards for foreign language instruction and inclusive teaching resources for Spanish language classrooms.

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.