جست‌وجوی استاد و پژوهشگر

• Literacy Education
• Early Childhood Education
• Indigenous Education
• +۵ مورد دیگر

Annette Woods is a Professor at Queensland University of Technology (QUT), specializing in literacy education, early childhood development, and Indigenous education. Her work emphasizes culturally responsive pedagogy, social justice, and equity in curriculum design. She has led projects such as the Home Languages in Schools initiative (HLinS) and contributed to evaluations like the Stronger Smarter Learning Communities Project . Dr. Woods collaborates extensively with educators and communities to develop inclusive teaching practices. Research Interests: Literacy and numeracy pedagogy for diverse learners Indigenous methodologies and curriculum integration Digital childhood studies and media literacy Teacher professional development and culturally nourishing pedagogies Ethical frameworks for educational research Publications & Projects: Dr. Woods has authored/co-authored over 100 peer-reviewed articles, book chapters, and reports. Notable outputs include the 2020 edited volume Literacies in Early Childhood and the 2024 Digital Child Ethics Toolkit . Her work spans topics from early literacy interventions to systemic educational equity reforms. Grants & Collaborations: Key projects include evaluations of national education initiatives (e.g., National Community Hubs Program) and partnerships with Indigenous communities to enhance educational outcomes. She serves as a lead evaluator for the Stronger Smarter Learning Communities Project, focusing on Indigenous student success. Labs/Teams: Active in QUT's Education research clusters, particularly those addressing digital childhoods and culturally responsive education.

Hanan Sametمشاهده پروفایل

استاد

• Spatial Databases
• Data Structures
• Geographic Information Systems (GIS)
• +۵ مورد دیگر

Hanan Samet is a Distinguished University Professor at the University of Maryland's Computer Science Department, affiliated with the Institute for Advanced Computer Studies (UMIACS) and the Center for Automation Research. He holds a Ph.D. from Stanford University (1975) and specializes in spatial databases, data structures, and geographic information systems. His research bridges computer science and geospatial analytics, with applications in image databases, computer vision, and spatio-temporal data management. Education: Ph.D., Computer Science, Stanford University, 1975 Research Interests: Focuses on spatial data structures, GIS, spatio-textual systems like NewsStand and CoronaViz, trajectory analysis, and metric indexing. His work emphasizes scalable algorithms for spatial networks and multimedia databases. Notable Projects: CoronaViz : Tracks disease spread via spatio-temporal data visualization NewsStand : Maps news articles geospatially SAND: Spatial browser for digital government Awards: ACM Paris Kanellakis Award (2014), IEEE McDowell Award (2015), UCGIS Research Award, and Fellowships in ACM/IEEE/AAAS. Recognized for advancing spatial database theory and practice. Grants/Advising: Leads NSF-funded projects on spatio-textual extraction and similarity search. Advises graduate students (e.g., Nicole Schneider, Montana Hoover) and undergraduate researchers. Labs/Teams: Active in UMIACS and the Center for Automation Research, collaborating on projects like VASCO (spatial visualization tools) and MARCO (image database systems).

Nicholas Cumminsمشاهده پروفایل

مدرس

• Artificial Intelligence
• Machine Learning
• Affective Computing
• +۶ مورد دیگر

Dr. Nicholas Cummins is a Lecturer in AI for Speech Analysis at King’s College London, specializing in applying machine learning to health conditions, particularly mental health disorders. He holds roles in the Department of Biostatistics & Health Informatics and is affiliated with the NIHR Maudsley Biomedical Research Centre. His research focuses on speech processing, affective computing, and digital phenotyping, with projects like RADAR-CNS and DE-ENIGMA. He earned his PhD from UNSW Australia (2016) and conducted postdoctoral work in Germany before becoming habilitation candidate at the University of Augsburg. Education: PhD in Electrical Engineering, UNSW Australia (2016) Habilitation Candidate, Chair of Embedded Intelligence for Healthcare, University of Augsburg Research Interests: Machine learning for mental health monitoring Speech-based biomarkers for depression and psychosis Wearable device integration for health tracking Multilingual speech analysis Key Projects: RADAR-CNS: Data analysis for neurological conditions DE-ENIGMA, TAPAS, sustAGE (Horizon 2020) National Science Foundation of China project on speech-based depression diagnosis Grants & Awards: Over 100 peer-reviewed publications (h-index: 23) NSFC-funded project on speech analysis for depression Reviewer for IEEE, ACM, ISCA journals Labs & Teams: Involved in the NIHR HealthTech Research Centre in Brain Health and the EMBRACE initiative for maternal/child health with AI.

Frances Yungمشاهده پروفایل

پژوهشگر ارشد

• Discourse Relations
• Computational Linguistics
• Natural Language Processing
• +۴ مورد دیگر

Dr. Frances Yung is a Postdoctoral Researcher at Saarland University's Department of Language Science and Technology within the Department of Computer Science. She has been affiliated with Prof. Vera Demberg's research group since April 2017 and is currently working on the DFG-funded SFB-1102 project "Information Density and Linguistic Encoding," specifically on project B2 "Cognitive modelling of information density for discourse relations." She is pursuing her habilitation, indicating career progression toward a higher academic position in the German university system. Dr. Yung's research focuses on discourse relations at the intersection of NLP, corpus linguistics, and experimental psycholinguistics. Her work explores how information density affects discourse relation marking through cognitive modeling approaches. She has developed expertise in discourse parsing, resource construction, annotation aggregation, and experimental pragmatics, with particular attention to multilingual aspects of discourse phenomena. Her research combines computational modeling with experimental methods to understand how speakers produce and comprehend discourse relations. Analysis of Dr. Yung's recent publications reveals a strong focus on discourse relation resources, particularly multilingual corpora like DiscoGeM 2.0 covering English, German, French, and Czech. Her work increasingly incorporates crowdsourcing methodologies and examines how large language models can be leveraged for discourse annotation tasks. She has made significant contributions to understanding the challenges of implicit discourse relation annotation and the biases introduced by different task designs in crowdsourcing environments. Active reviewer for major computational linguistics conferences (ACL, EMNLP, NAACL, EACL, COLING, IJCNLP) and workshops since 2016 Served as area chair for Sigdial 2024 Regular service on program committees for discourse-related workshops Dr. Yung has supervised multiple Master's theses on topics related to discourse relations, implicit relation identification, and domain adaptation. Her teaching portfolio includes courses on crowdsourcing linguistic annotations, discourse relations from cognitive and NLP perspectives, and recent advances in discourse processing. She has also served as a teaching assistant for data science and AI courses, demonstrating her commitment to interdisciplinary education at the intersection of computer science and linguistics.

• Language use in social interaction
• Interactional competence in second language
• L2 teaching
• +۵ مورد دیگر

Carmen Taleghani-Nikazm is a Professor and Chair of Germanic Languages and Literatures at The Ohio State University (OSU), within the College of Arts and Sciences. She holds a PhD from the University of Texas at Austin, specializing in German Applied Linguistics and Linguistics. Her research focuses on language use in social interaction, particularly in second language (L2) contexts, leveraging methods from Conversation Analysis and Interactional Linguistics. She examines how speakers formulate utterances to achieve social actions, with comparative studies in German, Persian, and multilingual settings. Her academic roles include Department Chair, member of the Graduate Interdisciplinary Specialization in Second Language Studies, and extensive service on university committees. She has directed language programs and contributed to pedagogical advancements, such as integrating multimodal resources and digital tools in language education. Key interests include L2 interactional competence, TA development, and the application of research to teaching. Her work bridges theoretical insights from discourse analysis with practical language instruction, emphasizing culturally informed teaching methodologies. Her publications span monographs, edited volumes, and peer-reviewed articles on topics like request sequences, invitations in Farsi, and multimodality in L2 interaction. She actively participates in academic conferences and serves as a reviewer for journals like Journal of Pragmatics and Research on Language and Social Interaction . Taleghani-Nikazm has advised numerous PhD and MA students, focusing on areas such as intercultural communication, refugee language practices, and L2 pedagogy. She has secured grants from the Arts & Humanities Large Grant Award, Mellon Foundation, and others, supporting projects like collaborative language education initiatives and conference funding.

• Computational Intelligence
• Cloud Computing
• Big Data Applications
• +۶ مورد دیگر

Jun Shen is a Professor at the School of Computing and Information Technology, University of Wollongong. He specializes in computational intelligence, cloud computing, and big data applications, with a focus on AI-driven solutions for real-world challenges in transport systems, healthcare, education, and environmental management. He has secured over 40 research grants totaling AU$4.5 million and supervised 26 completed PhD projects. His work spans interdisciplinary areas including bioinformatics, smart manufacturing, and digital health. Research interests include bio-inspired algorithmic optimization, AI in arts/media, and edge computing for IoT systems. He has pioneered research centers in applied computing since 2014 and holds editorial roles in top journals like IEEE Transactions. As an IEEE Distinguished Lecturer, he actively promotes AI ethics and interdisciplinary collaboration. Recent publications emphasize adversarial machine learning defenses, UAV systems, and multimodal data fusion. His supervision includes projects in intelligent transport systems, cloud computing, and e-learning. Grants include projects on resilient energy systems and UAV geolocation verification. Leadership roles include leading over 20 researchers and chairing conferences. He advocates for digital transformation in public services and has conducted fieldwork at MIT, UCI, and Georgia Tech.

S. Garnett Russellمشاهده پروفایل

دانشیار

• International Education
• Conflict and Peacebuilding
• Refugee Education
• +۴ مورد دیگر

S. Garnett Russell is an Associate Professor of International and Comparative Education at Teachers College, Columbia University, directing the International and Comparative Education Program and the George Clement Bond Center for African Education. Their research focuses on education's role in post-conflict societies, refugee education, human rights, and citizenship formation, often using mixed-methods approaches. Russell holds a PhD from Stanford University and has significant expertise in global education policy and transitional justice. Key research areas include post-genocide Rwanda, South Africa, Colombia, and urban refugee populations. Current projects examine transitional justice education in Colombia, civic identity among immigrant/refugee youth in the U.S., and refugee education policy. Russell has authored/co-authored over 30 peer-reviewed articles, policy briefs, and book chapters, with recent work analyzing language policies, textbook discourses, and human rights education implementation. Awards and recognitions are not explicitly listed, but their work has been supported by grants from Dubai Cares/INEE and the Spencer Foundation. Russell advises students in comparative and international education, focusing on fieldwork methodologies and policy analysis. Their teaching emphasizes global educational inequities and the sociopolitical dimensions of schooling.

Kasper Welbersمشاهده پروفایل

دانشیار

• Computational Communication Science
• Political Communication
• Journalism Studies
• +۷ مورد دیگر

Kasper Welbers is an Associate Professor at the Department of Communication Science, Faculty of Social Sciences, Vrije Universiteit Amsterdam. He holds additional appointments at the Network Institute and the Communication Choices, Content and Consequences (CCCC) research group. He is co-Director of The Societal Analytics Lab, Vice Chair of the Computational Methods Division at the International Communication Association (ICA), and a scientific representative of the OPINION COST Action network. His research focuses on computational communication science, journalism, and political communication, particularly exploring how news spreads and the role of gatekeepers in media systems. He develops open-source tools for research and advocates for reproducible computational methods. Education and Academic Background: While formal education details are not explicitly provided, his academic trajectory is evident through his faculty role and publications. Research Interests: Welbers combines methodological innovations with substantive research on news diffusion, media gatekeeping, and computational text analysis. His work addresses topics like dark platforms' agenda-setting roles, automated content analysis techniques, and the impact of platform policies on data donation studies. He emphasizes ethical research practices and open-source infrastructure development. Grants and Awards: He received the Faculty of Social Sciences Dissertation Award (2017) and Teacher Talent Award (2019), highlighting both research and pedagogical excellence. Labs and Collaborations: His work is anchored in The Societal Analytics Lab, fostering interdisciplinary research on societal challenges through computational methods. Collaborations span global networks like the OPINION COST Action, addressing cross-cultural media dynamics. Teaching: He teaches courses such as Computational Analysis of Digital Communication and contributes to curriculum development in AI ethics and data science for societal issues.

Cindy Schneiderمشاهده پروفایل

مدرس ارشد

• Language Documentation
• Sociolinguistics
• Applied Linguistics
• +۳ مورد دیگر

Cindy Schneider is a Senior Lecturer in Linguistics at the University of New England (UNE), based in the School of Humanities, Arts, and Social Sciences. She specializes in language documentation, sociolinguistics, and applied linguistics, with a focus on Pacific languages. Her research explores language policy, literacy practices, and the intersection of language and law. Education: Cindy holds a BS in Business/Marketing (Delaware), GrDip Linguistics (UNE), MA in Linguistics (Oregon), PhD in Linguistics (UNE), and LLB (UNE). Research Interests span language documentation (Pacific languages), sociolinguistic policy, vernacular literacy, language and legal systems, and mutual intelligibility between related language varieties. She has extensive fieldwork experience in Vanuatu, Papua New Guinea, and Kenya. Publications include a monograph on the grammar of Abma (Vanuatu) and numerous articles on linguistic intelligibility, courtroom language dynamics, and language planning. Recent research focuses on language policy in multilingual courtrooms and language vitality in Pacific Island communities. Supervised over 20 graduate students in topics like language ecology, legal linguistics, and literacy practices. Recipient of multiple teaching commendations for courses such as LING244 (Language and the Law). Consultant for linguistic analyses in consumer law and authorship disputes. Community Engagement includes developing literacy resources in Suru Kavian and other Pacific languages, and organizing orthography workshops for Indigenous communities.

• Educational Science
• Multilingualism
• Vocational Training and Education
• +۵ مورد دیگر

Ingrid DE SAINT-GEORGES is an Associate Professor in Educational Science at the University of Luxembourg's Faculty of Humanities, Education and Social Sciences, Department of Humanities. Her research focuses on multilingualism in education, professional communication, vocational training, and the intersection of language policies with cultural diversity. She holds a prominent role in shaping language strategies for academic and professional contexts, particularly in multilingual environments. Her work emphasizes ethnographic and multimodal methodologies, exploring how language and cultural practices influence learning in diverse settings such as culinary arts workshops in French Guiana and international higher education institutions. Key themes include the role of analogical discourse in vocational training, the dynamics of professional skill acquisition, and the challenges of implementing multilingual policies in educational frameworks. Notable contributions include designing language policies for academic conferences, analyzing workplace learning trajectories, and investigating the interplay between transversal competencies and employability. Her research often bridges theory and practice, aiming to enhance educational strategies through interdisciplinary collaboration and situated learning approaches. Dr. DE SAINT-GEORGES has published extensively on mediated discourse analysis, professional training interactions, and the sociocultural dimensions of education. Her work frequently addresses issues of linguistic diversity as both a challenge and a resource in educational and professional contexts, advocating for inclusive pedagogical frameworks.

• Educational Technology
• Applied Linguistics
• TESOL (Teaching English to Speakers of Other Languages)
• +۳ مورد دیگر

Dr. Andy Bown is a Lecturer in Languages and TESOL at the University of Tasmania's Faculty of Education. He holds a PhD from Macquarie University (2015) and has over 30 years of experience in language education across Thailand, France, the UAE, and Australia. His research focuses on educational technology, second language acquisition, and culturally diverse learning contexts. He currently coordinates courses like EPR215 and EMT609, and supervises PhD candidates exploring technology's role in language learning. Education: PhD, 'Using a virtual learning environment for the development of L2 academic reading' (Macquarie University, 2015) MEd, 'The usefulness of guided feedback in a web-based IELTS reading programme for Arab learners' (University of Manchester, 2004) BA (Hons) in French and Linguistics (University of York, 1992) Research Interests: Dr. Bown specializes in Computer-Assisted Language Learning (CALL), mobile-assisted language learning, and second language reading strategies. His work emphasizes technology's role in linguistically diverse classrooms, particularly in developing countries. Recent projects include studies on social media for vocabulary development and culturally responsive pedagogy. Grants & Engagements: UTAS representative on the Modern Language Teachers’ Association of Tasmania Led the 'Early Language Learning' case study ($5,000 grant, 2017) Co-lead of the LinguaLab research group Labs/Teams: Co-leads the LinguaLab, a collaborative space exploring language education innovations.

Jenni Alisaariمشاهده پروفایل

استاد

• Linguistically Responsible Pedagogy
• Culturally Responsive Education
• Intercultural Communication
• +۵ مورد دیگر

Jenni Alisaari is a Professor of Education specializing in Linguistically and Culturally Diverse Education at the School of Applied Educational Science and Teacher Education, University of Eastern Finland. Her work focuses on linguistically responsible pedagogy, multilingualism in education, and culturally responsive teaching practices. Teaches Master’s Degree Programme in Early Language Education for Intercultural Communication Former roles include University Lecturer of Finnish at University of Stockholm, Special Researcher in Sociology at INVEST Research Centre, and Teacher Trainer at University of Turku and Åbo Akademi Research interests intersect language, culture, and identity in educational contexts. She studies: Linguistically Responsible Pedagogy Multilingual Learners Support for Newly Arrived Students Using Music in Language Instruction Language as a Cultural Identity Resource Curriculum Reform Implementation Her publications since 2015 reveal a focus on: Intercultural Communication in Classrooms Migrant Student Belonging Language Policy in Nordic Countries Cognitive Benefits of Musical Language Instruction Teacher Training for Linguistic Diversity Educational Equity Frameworks

Beau S. Pihlajaمشاهده پروفایل

دانشیار

• Intercultural Technical Communication
• Technologically Mediated Professional Communication
• Cultural Rhetorics
• +۱ مورد دیگر

Beau S. Pihlaja is an Associate Professor in the Technical Communication & Rhetoric (TCR) program within the Department of English at Texas Tech University (TTU). He also serves as the Director of Graduate Studies for TCR since December 2022. His work examines the intersection of communication technologies and intercultural interactions in global contexts, particularly through platforms like WhatsApp in multinational environments and digitally connected classrooms. Education: PhD in Rhetoric and Composition Studies (2017), University of Texas at El Paso (UTEP) Dr. Pihlaja employs activity theory, actor-network theory, and qualitative methods (e.g., on-site observations, interviews) to analyze digital mediation in intercultural collaborations. His recent publications focus on translation/localization, ethical communication at borders, and user-centered pedagogy. His research spans hybrid teaching environments and international contexts, especially South Asia. His methodological approaches emphasize cultural rhetorics and materialist analysis, with a recurring focus on the U.S.-Mexico border as a case study. Dr. Pihlaja's work also explores how digital tools reshape professional ethics and cross-cultural understanding in multinational workplaces. Website: www.beaupihlaja.com Contact: beau.pihlaja@ttu.edu

Joanna Rzepaمشاهده پروفایل

مدرس ارشد

• Holocaust studies
• Literary modernism
• Translation studies
• +۵ مورد دیگر

Dr. Joanna Rzepa is a Senior Lecturer in Literature at the University of Essex's Department of Literature, Film, and Theatre Studies. A transnational comparatist and literary historian, she specializes in Holocaust writing, translation history, and literary modernism. Her current Leverhulme Trust-funded project examines Holocaust testimony dissemination through Polish-English translation networks. PhD in English and Comparative Literary Studies from University of Warwick Former Thomas Brown Assistant Professor at Trinity College Dublin Alumni of Trinity Long Room Hub and University of Warwick's Institute of Advanced Study Her research bridges Holocaust studies, publishing history, and translation studies, focusing on: Transnational dissemination of survivor narratives Modernist theological intersections Book history under authoritarian regimes Conflict-era translation practices Cultural memory preservation Polish literary modernism Recent publications examine: Polish literature reception in post-global academia (2024) Translation politics in Polish-English wartime networks Modernist responses to theological crises St. Francis reimaginings in Wittlin's work Scientific Recognition: Recipient of Martha Cheung Award for Translation Studies (2020) Leverhulme Trust Research Fellowship recipient (2025-26) Grant Funding: Leverhulme Trust grant for "Holocaust in Translation" project Teaching Expertise: Criticism: Practice and Theory Law and Literature Independent Literature Project Dissertation supervision Transnational literature-translation relations Holocaust representation Creative writing supervision

Hong Huمشاهده پروفایل

استادیار

• Statistical Signal Processing
• Machine Learning
• High-Dimensional Data Analysis

Hong Hu is an Assistant Professor in the Department of Statistics & Data Science and the Department of Electrical & Systems Engineering at Washington University in St. Louis, within the McKelvey School of Engineering. He holds a PhD from Harvard University. Hong Hu earned his PhD from Harvard University. His research focuses on statistical signal processing and machine learning, with an emphasis on the theoretical foundations of algorithms for extracting information from high-dimensional data. He investigates fundamental properties of high-dimensional random systems, such as phase transitions and universality, to understand and improve high-dimensional information processing algorithms. His work also aims to apply these principles to real-world applications. His recent publications explore topics including heterogeneous computation resource allocation using data-driven methods and the application of deep learning in multilingual sentiment analysis, reflecting his interdisciplinary approach to machine learning and data science challenges. Hong Hu’s advising and grant activities are not detailed in the provided information.