جست‌وجوی استاد و پژوهشگر

Natalia Gagarinaمشاهده پروفایل

استاد

• Bilingual and Multilingual Acquisition
• Language Development
• Child Language Disorders
• +۴ مورد دیگر

Prof. Natalia Gagarina is Head of the 'Language Development & Multilingualism' research area at Leibniz-ZAS and holds professorships at Humboldt-Universität zu Berlin and Uppsala University. Her work focuses on bilingual language acquisition, narrative structures, and assessment methods for multilingual children. She leads four ZAS projects and collaborates with institutions worldwide, including Goethe-Universität, Universität Eichstätt-Ingolstadt, and University of Saskatchewan. Education: Habilitation in Language Acquisition (Humboldt-Universität, 2011), PhD in Linguistics (Herzen State Pedagogical University, 1999). Extensive postdoctoral research at Vienna University and ZAS Berlin. Research Interests: Monolingual/bilingual language development, morphosyntax, discourse analysis, heritage language maintenance, and language assessment tools like MAIN and LITMUS. Current projects investigate pandemic impacts on immigrant communities and narrative competence in DLD. Publications: Over 50 peer-reviewed articles (2025 highlights include PREVIC vocabulary measure, Education's role in narrative comprehension, and heritage language syntax studies). Recent work emphasizes computational methods (BERT-based annotation) and cross-linguistic comparisons. Awards: Corresponding member of Austrian Academy (2020), AcademiaNet recognition (2020), and multiple teaching/materials awards. Active in policy advocacy for multilingual education. Grants & Leadership: Vice Director of ZAS (2020–), coordinator of Multilingual Language Development and Assessment Lab (MultiLADA). Supervises interdisciplinary teams analyzing narrative structures across 17+ languages. Labs/Teams: MultiLADA Lab focuses on narrative assessment tools. Collaborates with global networks including COST Action LITMUS and BIVEM initiative.

• Machine Translation
• Digital Literacy
• Multilingual Communication
• +۳ مورد دیگر

Prof. Alice Delorme Benites is Head of the Institute of Multilingual Communication and holds the Chair of Human-Machine Communication at the ZHAW School of Applied Linguistics (Zurich University of Applied Sciences). Her research focuses on machine translation (MT) literacy, multilingual communication, and the ethical implications of AI in language education and professional practice. Key Projects: Leadership roles in over 10 projects including DigiLinguo (overcoming language barriers in public institutions), MT literacy for academics, and crisis communication using MT. Coordinated initiatives like 'Digital Literacy in University Contexts' and translation tools for nursing staff. Research Interests: Her work bridges applied linguistics and technology, emphasizing: MT integration in education and professional translation AI ethics in multilingual contexts Crisis communication strategies using MT Swiss energy discourse analysis Outreach: Active in media commentary (SRF, TEDx) and international conferences (EST, EUROCALL). Her publications span topics from AI in academic writing to MT policy frameworks. Awards & Grants: While no formal awards are listed, her work has secured funding for multiple research initiatives including EU-funded projects and institutional grants. Lab/Team: Directs the Institute of Multilingual Communication, fostering interdisciplinary collaboration between linguists, technologists, and educators.

• Linguistics
• Pragmatics
• Romance Languages
• +۵ مورد دیگر

Dr. Davide Garassino is affiliated with the ZHAW School of Applied Linguistics and the Institute of Multilingual Communication at Zurich University of Applied Sciences (ZHAW). His research focuses on pragmatics, information structure, and political communication in Romance languages, with a particular emphasis on presuppositions and cross-linguistic comparisons between French and Italian. He has contributed to studies on AI-generated texts, digital literacy in EFL education, and experimental approaches to political discourse analysis. Garassino holds editorial roles, co-editing the volume *When Data Challenges Theory: Unexpected and Paradoxical Evidence in Information Structure* (2022) with Daniel Jacob. His work integrates corpus linguistics, cognitive pragmatics, and sociolinguistics, addressing topics such as vowel length in Ligurian and prosodic variation. He collaborates extensively with researchers like Viviana Masia, Nicola Brocca, and Lorenzo Filipponio. Recent studies explore how presuppositions function in political communication, including analyses of tweets and the integration of AI tools like ChatGPT into linguistic research. He also investigates pedagogical strategies for teaching critical digital literacy in multilingual contexts.

• Literacy Studies
• Education
• Applied Linguistics
• +۸ مورد دیگر

Professor Uta Papen is a faculty member at the Lancaster University within the School of Social Sciences , where she serves as Professor of Literacy Studies and Co-Director of the Literacy Research Centre . Her interdisciplinary research bridges social anthropology , education , and applied linguistics , focusing on literacy as a social and cultural practice. Research Focus: Literacy policy analysis, health literacy, critical literacy, and ethnographic studies in Global South contexts. Current Projects: Co-leads the Morecambe Bay Curriculum Storytelling and Writing Pilot Project (2025–2026) and works on a critical history of adult literacy policy (Routledge, 2026). Teaching: Convenes undergraduate modules like LING 235 and co-edits Routledge series on literacies. Methodology: Specializes in ethnographic and collaborative action research combined with critical discourse analysis and multimodal analysis . Research Trends: Recent publications emphasize literacy policy critique , deaf education innovations , and methodological advancements in literacy studies. Her work explores intersections between linguistic landscapes , healthcare communication , and critical thinking in early education. PhD Supervision: Focus areas include phonics policy implementation , healthcare literacy practices , and urban linguistic landscapes . She currently supervises Xinran Wang .

Chrysoula Vassiliuمشاهده پروفایل

پژوهشگر

• Multilingualism
• Language Acquisition
• Cognition
• +۳ مورد دیگر

Chrysoula (Lina) Vassiliu is a Postdoctoral Research Associate at the University of Cambridge , affiliated with the Faculty of Modern and Medieval Languages and Linguistics and Magdalene College. Supervised by Professor Henriette Hendriks and Professor Zoe Kourtzi, her work focuses on psycholinguistics, particularly multilingualism, language learning, and their interplay with cognitive control. Academic Rank: Researcher Teaching Roles: Supervisor for courses in 'Language, Brains and Machines' and 'First and Second Language Acquisition' Her research spans individual differences in multilingualism, executive functions, and statistical learning. Publications highlight cross-cultural comparisons (UK/Singapore) and studies on ADHD populations, exploring how language acquisition affects cognitive flexibility and structure learning. Key trends in her publications include: Examining multilingualism's impact on executive function in adults Investigating language development in neurodivergent children Innovating remote cognitive testing methodologies Scientific awards and scholarships include: Economic and Social Research Council (ESRC) Studentship Onassis Foundation Scholarship A.G. Leventis Foundation Scholarship Kate Bertram Prize Pan. Triantafyllidis Scholarship Magdalene College Bye-Fellow (2021-22) Vassiliu co-organizes the Cambridge Processing and Acquisition of Language (CamPAL) initiative and has held leadership roles in Magdalene College's MCR Committee.

• Recommender Systems
• Social Bookmarking
• Data Mining & Machine Learning
• +۳ مورد دیگر

Prof. Robert Jäschke is a Professor at the Institute of Library and Information Science, Humboldt-Universität zu Berlin, within the Faculty of Arts. His primary research focuses on Recommender Systems, Social Bookmarking, Data Mining & Machine Learning, Web Archiving, and Open Science. He leads projects like AI-SKILLS and UnknownData, and operates BibSonomy, a social tagging system. Jäschke advises on DINI and the Specialized Information Service for Book, Library, and Information Science. His work bridges computational methods with humanities, evident in his contributions to music entity detection, Vossian antonomasia analysis, and digital literary frameworks. Research interests span interdisciplinary applications of AI in cultural studies, formal concept analysis, and web archiving. Notable projects include analyzing regional research networks (REGIO) and evaluating dataset creation for concept detection. Teaching includes courses on information processing, data analysis, and web science. Publications reflect a strong focus on computational linguistics, music informatics, and digital humanities. His blog weltliteratur.net explores world literature in digital contexts. Collaborations emphasize open science practices and tool development for academic communities.

Henrik Danielssonمشاهده پروفایل

استاد

• Cognitive Science
• Disability Research
• Special Needs Education
• +۳ مورد دیگر

Henrik Danielsson is a Professor at Linköping University's Department of Behavioural Sciences and Learning (IBL), affiliated with the Disability Research Division (FUSA). He serves as Director of the Swedish Institute for Disability Research and leads research on cognitive prerequisites for communication in individuals with disabilities, focusing on intellectual disability and hearing loss. His work spans three core areas: cognitive functioning in intellectual disabilities, age-related hearing loss impacts, and assistive technologies for disabilities. He collaborates internationally with researchers like Lucy Henry and Kathy Pichora-Fuller, and is involved in the Linnaeus Centre HEAD and the n200 longitudinal study. His research emphasizes interdisciplinary approaches, using methods like structural equation modeling to explore relationships between hearing, cognition, and social participation. He supervises multiple PhD students, including Lisa Palmqvist (planning abilities in intellectual disabilities) and Karin Nilsson (reading predictors in adolescents). Danielsson co-develops interventions, such as calendar-based reminders for cognitive support, and advocates for technology accessibility in education and healthcare. Key projects include studying dementia links to hearing loss, early interventions in special education, and the role of executive functions in communication. His contributions bridge cognitive science, disability studies, and applied research, addressing societal challenges through evidence-based strategies.

• Language Processing
• Cognitive Neuroscience
• fMRI
• +۵ مورد دیگر

Idan Blank is an Assistant Professor with dual appointments in the Psychology Department and the Linguistics Department at the University of California, Los Angeles, within the College of Letters and Science. His research bridges cognitive neuroscience, linguistics, and artificial intelligence to investigate how humans understand language—a universal phenomenon across human cultures yet unique to our species that enables thought transfer between minds. Dr. Blank earned his PhD in Cognitive Science from the Massachusetts Institute of Technology in 2016 and his MA in Psychobiology from Tel Aviv University in 2011. His academic journey reflects a strong foundation in both cognitive science and biological approaches to understanding the mind. Dr. Blank's research program focuses on the neural mechanisms underlying language comprehension, examining which aspects of comprehension have dedicated neural circuitry versus those that rely on more general cognitive systems. His work employs functional MRI, behavioral experiments, and computational modeling to investigate how language "happens" in our minds and brains. The BlankLangLab, which he leads, studies the component processes of comprehension, the mental structures that allow us to "know the meaning" of utterances, and the mental operations used to manipulate them. His research increasingly explores connections between artificial intelligence language models and human cognitive processing. Analysis of Dr. Blank's recent publications reveals a strong emphasis on precision mapping of language networks, investigations of language processing across diverse populations (including polyglots and older adults), and examinations of how language processing relates to other cognitive systems like theory of mind. His work demonstrates a clear trajectory toward integrating neuroimaging data with computational approaches to better understand the architecture of human language processing. While specific awards aren't detailed in the provided information, Dr. Blank's research has garnered significant scholarly attention, with numerous publications in high-impact journals including Proceedings of the National Academy of Sciences, Trends in Cognitive Sciences, and Journal of Neuroscience. Several of his papers have accumulated substantial citation counts, reflecting the importance of his contributions to cognitive neuroscience and language processing research. Dr. Blank leads the BlankLangLab at UCLA, which investigates language, understanding, and thought through neuroimaging, behavioral, and machine learning approaches. His lab maintains strong collaborative ties with other research groups, particularly in the area of language network mapping. The lab's research program integrates precision mapping techniques with naturalistic paradigms to characterize functional brain regions engaged during language processing, with recent work increasingly incorporating large language models to bridge AI and human cognition.

Mahbod Ghaffariمشاهده پروفایل

دانشیار

• Applied Linguistics
• Corpus Linguistics
• Persian Linguistics
• +۴ مورد دیگر

Dr Mahbod Ghaffari is an Associate Professor in Persian Language, Linguistics, and Culture at the University of Cambridge’s Faculty of Asian and Middle Eastern Studies. He serves as a Bye-Fellow at Fitzwilliam College and acts as its Director of Studies for Persian-related subjects. His research focuses on applied linguistics, corpus linguistics, and Persian language acquisition, with a particular emphasis on developing innovative teaching tools and collaborative research projects like the Cambridge-Belgrade Persian Learner Corpus (CAMBEL). He has extensive experience teaching Persian language and literature, including roles at the University of Allameh Tabatabaei and Shahid Beheshti University in Iran, and served as a Persian Examiner for the University of Westminster before joining Cambridge. Education: BA in Translation (Iran), MA in Teaching Persian (Iran), PhD in Linguistics (Iran), Oxford Leadership in Higher Education Certificate, and a 6-month intensive course on Iranian Culture and Civilization. His work combines classical Persian literature with modern pedagogical approaches, emphasizing the role of multimedia and online platforms in language education. He recently co-launched the CAMBEL project’s first phase in 2023 and is authoring a Persian grammar textbook. Ghaffari has contributed to publications such as the Routledge Handbook of Second Language Acquisition and Pedagogy in Persian and presented at conferences including the 4th International Conference on Teaching Persian Language and Literature. His research also explores the intersection of language, culture, and identity in Iranian contexts, along with historical studies of Persian’s linguistic evolution. Recipient of the 2024 Pilkington Prize recognizing his teaching excellence, Ghaffari’s projects aim to support Persian language educators globally. His ongoing work includes advancing CAMBEL to its second phase and analyzing learner corpus data for pedagogical insights. He teaches undergraduate courses in Persian language, linguistics, and Iranian cinema while maintaining active collaboration with academic institutions in Europe and the Middle East.

Arthur Spirlingمشاهده پروفایل

استاد

• Political Methodology
• Quantitative Methods
• Text-as-Data
• +۵ مورد دیگر

Arthur Spirling is the Class of 1987 Professor of Politics and Director of Graduate Studies. His career includes previous roles at Harvard University and New York University. He specializes in quantitative methods, political behavior analysis, and text-as-data techniques, with recent work exploring intersections between data science, AI, and social science. Education: Bachelor's and Master's from the London School of Economics Master's and PhD from the University of Rochester Research Interests: Spirling's research focuses on advancing computational and statistical methods in political science. He emphasizes machine learning, ethical AI adoption, and applying text analysis to historical and institutional studies. His work often bridges methodological innovation with substantive areas like comparative politics and British parliamentary systems. Articles Trends: His recent publications highlight ethical challenges in using proprietary language models, the benefits of open-source alternatives, and improving replication standards. He also explores model complexity and its implications for applied research, alongside topics like legal equality in historical political thought and measuring linguistic patterns in parliamentary discourse. Scientific Awards: Teaching and Mentoring Awards at Harvard and NYU Emerging Scholar Prize from the Society for Political Methodology Advising & Grants: As Director of Graduate Studies, Spirling supports PhD and Master’s students through structured research programs. His grants and funding align with his methodological work in text-as-data and AI ethics. He has advised on courses such as Applied Quantitative Analysis and Responsible Conduct of Research in Political Science .

Joseph Letourneauمشاهده پروفایل

مدرس

• Incident Response
• Digital Forensics
• Computer Networking
• +۱ مورد دیگر

Joseph Letourneau is an Instructor in the Division of Information Technology & Sciences at Champlain College. He holds expertise in Incident Response, Digital Forensics, and Cybersecurity, with a focus on enhancing student engagement through structured and interactive teaching methodologies. His professional background includes work in Managed Security Services, covering areas like Vulnerability Assessments, PCI Investigations, and Malware Analysis. Research Interests: His research spans cybersecurity practices, digital forensics techniques, and the application of clustering algorithms in big data analysis. He emphasizes practical, hands-on learning to prepare students for real-world challenges in IT security and networking. Articles Overview: His publications explore density-based clustering methods for big data, sentiment analysis frameworks, and cybersecurity threat detection. Notably, he has contributed to optimizing clustering algorithms using MapReduce and enhancing digital forensic methodologies. Advising & Grants: No specific advising or grant information is highlighted in the provided materials.

• Computational Linguistics
• Language Evolution
• Data Analytics
• +۳ مورد دیگر

Giancarlo Schrementi is an Assistant Professor in the Department of Mathematics, Statistics, and Computer Science at Hollins University. He concurrently works in industry, focusing on data analytics and application development. His academic work emphasizes computational linguistics, particularly models of language evolution and emergence, while his industry contributions center on data mining and machine learning tools. Education: Joint Ph.D. in Computer Science and Cognitive Science, Indiana University (2011) B.A. in Computer Science and Classical Civilization, Beloit College (2001) Research Focus: Schrementi's academic research tracks rapid advancements in data mining and machine learning, with specialization in unsupervised learning techniques. His work bridges computational linguistics and evolutionary language models, applying principles like Minimum Description Length to study generalization mechanisms in language systems. Teaching: Courses taught include Data Structures, Data Science & Visualization, and Data Mining Techniques. Personal Interests: Enjoys cooking, architectural Lego model design, and maintaining interdisciplinary connections between technical and humanistic disciplines.

• Nationalism Studies
• Language Policy
• 19th Century European History
• +۳ مورد دیگر

Szilveszter Csernus-Lukács is a Researcher affiliated with the University of Szeged's Department of History and a Research Associate at the CRC 138 'Dynamics of Security' (subproject A06) since 2018. His doctoral work focuses on the nationality question and language policy in 19th-century Southern Hungary, supported by the Eötvös Lóránd Scholarship (2013–2014) and other grants. He holds degrees from Szeged and Trier universities, including studies in law and history. His research interests center on the intersection of nationality policies, language governance, and state formation in the Habsburg Empire. Key works analyze 19th-century Hungarian language legislation, minority rights frameworks, and the socio-political dynamics of local elites post-Austro-Hungarian Compromise. Publications span academic journals like Századok and Acta Poloniae Historica , focusing on census data interpretation, legal texts, and regional historiography. Awards include the Kármán Foundation Scholarship (2008) and recognition at national academic conferences (e.g., First Place at the 2013 National Scientific Students' Conference). Csernus-Lukács has cooperated with institutions like the Herder Institute and contributed to public history through articles in Múlt-kor magazine, addressing topics such as Olympic history and 20th-century political events.

• Translation Technologies
• Machine Translation
• Post-editing Evaluation
• +۴ مورد دیگر

Mihaela Vela is a Senior Lecturer at the Department of Language Science and Technology at Saarland University. Her research focuses on machine translation evaluation, post-editing strategies, and translation technologies. Prior to her academic role, she worked as a researcher at the Language Technology Lab of DFKI (2007–2011), contributing to projects like ontology schema extraction from financial news. She holds a PhD in Computational Linguistics (2011) from Saarland University, supervised by Hans Uszkoreit and Thierry Declerck, and a Licentiate degree in Linguistics from West University of Timisoara. Her teaching portfolio includes courses such as Translation and Content Management , Applied Language Technologies , and Machine Translation , reflecting her expertise in integrating computational methods with translation practice. She has developed tools like TeLeMaCo (a collaborative teaching repository) and Catalog (a post-editing interface). Her work emphasizes improving translation workflows through better CAT tool design, metadata preservation, and cognitive load analysis in post-editing tasks. Key contributions include the SubCo corpus of learner translations and studies on post-editing effort in low-resource languages. Her research bridges theoretical linguistics with practical applications, addressing challenges in legal text classification, parliamentary discourse analysis, and neural post-editing systems.

David Gefenمشاهده پروفایل

استاد پژوهشی

• Trust in Technology
• IT Outsourcing
• Research Methodology (SEM)
• +۴ مورد دیگر

David Gefen: Academic Profile David Gefen, PhD, is the Provost Distinguished Research Professor and Academic Director of the Doctorate in Business Administration (DBA) Program at Drexel University’s LeBow College of Business. He holds a dual appointment in Decision Sciences and Management Information Systems. His research focuses on trust in IT systems, outsourcing, research methodology (SEM), and text analysis, with over 150 peer-reviewed publications in top journals like MISQ and ISR. Education & Career: Joined Drexel in 1997 after industry roles in software development. Earned an M.Sc. in Computer Information Systems and PhD from Georgia State University under Detmar Straub. Previously served as Senior Editor at MISQ and Editor-in-Chief roles at JMIS and JAIS. Research Interests: Explores trust dynamics in digital technologies, ERP implementation, and text analysis applications in healthcare and consumer behavior. Notable contributions include frameworks for measuring distrust in chatbots and analyzing adverse drug interactions via text mining. Awards & Recognition: Ranked in top 0.08% of global scientists (ScholarGPS), top 0.3% (Scientific Index 2023), and #703 in global Business & Management research (Research.com). Recognized for prolific HCI publications (3rd/4th, 1990–2008). Service: Senior Editor at JAIS, Advisory Board Member at JMIS, and active in editorial roles for top journals. Served on ICIS panels addressing curriculum reform and MIS research methods. Grants & Labs: Secured $50,000 for research on AI and epistemic welfare in ChatGPT discourse. Collaborates with Einstein Medical Center on telemedicine portals and Children’s Hospital of Philadelphia on telemedicine adoption barriers.