جست‌وجوی استاد و پژوهشگر

Gernot Kubinمشاهده پروفایل

استاد

• Nonlinear Signal Processing
• Speech Communication
• Audio Communication
• +۳ مورد دیگر

Gernot Kubin is a University Professor and Founding Director of the Signal Processing and Speech Communication Laboratory (SPSC) at Graz University of Technology, Austria. He has held this position since 2000 and has served in numerous leadership roles including Dean of Studies in Electrical and Audio Engineering (2004-2007), Coordinator of the Key Research Area Smart Systems for a Mobile Society (2004-2011), and Chair of the Senate (2007-2010 and 2013-now). His research focuses on nonlinear signal processing as well as speech and audio communication. Professor Kubin has co-authored over 180 peer-reviewed publications and advised more than 30 PhD students. His recent work shows a strong emphasis on conversational speech recognition, particularly for Austrian German dialects, prosody modeling, and the application of deep learning techniques to speech processing problems. His research also extends to biomedical applications of signal processing, particularly in voice analysis and vocal fatigue detection. Professor Kubin has received significant recognition for his work, most notably the 2015 Nikola Tesla medal for the highest number of patents awarded to a TU Graz scientist in a 5-year period. He has served on important committees including the IEEE Speech and Language Processing Technical Committee (2011-2016) and as General Chair for the INTERSPEECH 2019 conference held in Graz. He is also a member of the ISCA Advisory Board since 2020. His laboratory, the Signal Processing and Speech Communication Laboratory, is a leading research center in Austria with involvement in multiple national and international research projects including the Dependable Internet of Things in Adverse Environments, COMET K-Project Acoustic Sensing and Design, and the Competence Network for Digital Humanities KONDE.

• Linguistics
• Romance Languages
• French Language and Literature
• +۷ مورد دیگر

Dr. Alena Němcová Polická serves as an Associate Professor at the Department of Romance Languages and Literatures within the Faculty of Arts at Masaryk University in Brno, Czech Republic. Her academic profile demonstrates extensive expertise in French linguistics with particular specialization in contemporary language phenomena. Her research interests span multiple interconnected fields including sociolectology, neology, youth language, slang studies, and corpus linguistics with a distinctive focus on rap linguistics as a contemporary cultural and linguistic phenomenon. She has developed significant expertise in analyzing lexical innovations and their diffusion patterns across languages, particularly between French, Czech, and Polish. Professor Němcová Polická's publication record shows consistent scholarly output with 111 publications to date, demonstrating increasing focus on digital corpus methodologies and hip-hop linguistics in recent years. Her work reveals a methodological evolution from traditional linguistic analysis toward innovative corpus-based approaches that bridge qualitative and quantitative research paradigms. She actively supervises graduate students working on contemporary linguistic topics including Alzheimer's language manifestations, electronic corpus analysis of slang, and French-English language contact in Quebec. Her academic service includes membership on program boards for French Language and Literature bachelor's and master's degrees, as well as serving on the Industry Council for Romance languages. Her current research trajectory focuses on the intersection of digital humanities and contemporary language evolution, particularly through the lens of hip-hop culture and youth language innovation. Recent presentations and publications indicate growing international collaboration across European academic networks focused on hip-hop studies and linguistic innovation.

• Italian Linguistics
• Romance Languages
• Applied Linguistics
• +۳ مورد دیگر

Eleonora Zucchini is an Assistant Professor in the Department of Romance Languages and Literatures at the Faculty of Arts, Masaryk University, Brno. Her research and teaching center on Italian linguistics with applications in language education and multilingual communication. Education Dottore di Ricerca (PhD equivalent) in Linguistics Research Focus Her work investigates neo-standard Italian usage in educational contexts, morphosyntactic development in second language acquisition, and intercomprehension dynamics in multilingual settings. She employs corpus-based methodologies to analyze language variation in youth writing, spoken interaction, and grammar pedagogy, with particular attention to Bolognese linguistic communities. Publication Analysis Recent publications (2018-2025) reveal three interconnected research strands: (1) grammatical analysis of subjunctive/indicative usage in school grammars, (2) corpus-driven studies of neo-standard Italian in foreign language materials, and (3) development of specialized resources for studying past tense morphology (Corpus KIPasti) and Bolognese spoken language (Corpus ParlaBO). Her collaborative work emphasizes practical applications for language teaching and intercultural communication. Academic Service Dr. Zucchini supervises bachelor's theses in Italian Linguistics and serves on the Program Board for the Italian Language and Literature Bachelor's Degree. Her teaching portfolio includes advanced courses in semantics, pragmatics, and academic writing for Romance language scholars. Research Infrastructure Co-developer of Corpus KIPasti for analyzing Italian past tense morphology Co-creator of Corpus ParlaBO documenting Bolognese spoken language variation Member of collaborative teams with Caterina Mauri, Silvia Ballare, and Nicola Grandi

Ksenia Gnevshevaمشاهده پروفایل

مدرس ارشد

• Sociophonetics
• Second Language Acquisition
• Bilingualism
• +۳ مورد دیگر

Dr. Ksenia Gnevsheva is a Senior Lecturer in Linguistics at the School of Literature, Languages & Linguistics, The Australian National University (ANU). She holds a PhD in Linguistics (University of Canterbury, 2016), an M.A. in English as a Second Language (University of Arizona), and a B.A. in Theoretical and Applied Linguistics (Saratov State University, Russia). Prior to ANU, she worked as a Linguistic Scientist at Fluent Scientific Ltd. Her research focuses on sociophonetics and second language acquisition, particularly sociolinguistic variation in bilingual speakers' production and perception. She is fluent in English, Russian, and has proficiency in French, Korean, Polish, and Spanish. Education: PhD in Linguistics, University of Canterbury (2016) M.A. in English as a Second Language, University of Arizona B.A. in Theoretical and Applied Linguistics, Saratov State University Her research interests include sociolinguistic variation, accent perception, and the intersection of sociophonetics with second language acquisition. She explores how non-native speakers negotiate linguistic identity through accent and dialect, with recent work addressing language-based discrimination in employment contexts. Key projects include analyzing sociolinguistic corpora using computational tools (e.g., ASR) and studying regional Australian English dialects. Dr. Gnevsheva’s articles examine topics like accentedness perception, second dialect acquisition, and the role of technology in sociolinguistic research. She collaborates on projects such as the 'Voices of Regional Australia' initiative, focusing on linguistic markers of local attachment. Her work bridges theoretical and applied linguistics, emphasizing real-world implications of language variation. Grants/Projects: Voices of Regional Australia (2023–2026): Investigates linguistic patterns tied to regional identity in Australia. Assessing Language-Based Discrimination (2023): Examines how speaker accents influence employability judgments. Accented Australian English for Acoustic Modelling (2019): Advances speech recognition systems for non-native accents. She is affiliated with The Migration Hub at ANU and actively supervises research students in sociolinguistics and second language studies.

• Natural Language Processing
• Computational Linguistics
• Dependency Parsing
• +۳ مورد دیگر

Şaziye Betül Özateş is an Assistant Professor at Boğaziçi University's Institute for Data Science and Artificial Intelligence, specializing in NLP and machine learning. She develops resources and models for Turkish and low-resource languages, including the BOUN Treebank and dependency parsers. Research focuses on dependency parsing for agglutinative languages, computational linguistics, and deep learning applications, with emphasis on Turkish morphology, code-switching parsing, and historical language processing. Recent projects address Ottoman Turkish NLP and calligraphy analysis. Publications demonstrate strong focus on Turkish language resources (40%), parsing algorithms (30%), historical text processing (20%), and code-switching NLP (10%). Recent works show increasing attention to Ottoman Turkish and Arabic script processing, with methods leveraging multilingual BERT and semi-supervised learning. Developed key resources: BOUN Treebank (Turkish syntactic corpus), PUD Treebank (multilingual parallel corpus), BOUN-Pars (LSTM-based Turkish parser), and semi-supervised parsers for code-switched languages. Supervises projects on neural network applications in NLP.

Danielle Barthمشاهده پروفایل

دانشیار

• Corpus Linguistics
• Language Typology
• Oceanic Languages
• +۵ مورد دیگر

Danielle Barth is an Associate Professor at the School of Culture, History and Language at Australian National University. She holds a BA in Linguistics from Rice University, MA in Linguistics from University of Oregon, and PhD in Linguistics from University of Oregon. Her research focuses on quantitative corpus linguistics, typology, and linguistic variation in minority and endangered languages, particularly languages of Papua New Guinea and the Pacific region. She directs the Barth Lab for Corpus Linguistics and leads projects including Matukar Panau Language Documentation and the Social Cognition Parallax Interview Corpus (SCOPIC). She currently supervises multiple PhD students working on corpus-based documentation and usage-based variation projects. Her textbook 'Understanding Corpus Linguistics' provides foundational knowledge in the field.

Georg Rehmمشاهده پروفایل

استاد مدعو

• Language Technology
• Computational Linguistics
• Artificial Intelligence
• +۴ مورد دیگر

Georg Rehm holds an Adjunct Professorship in Computational Linguistics and Language Technology at Humboldt-Universität zu Berlin's Faculty of Philosophy. He is a Principal Researcher and Research Fellow at DFKI Berlin's Speech and Language Technology Lab, and Head of the W3C Germany/Austria Chapter. His roles include coordinating major EU initiatives like the European Language Grid (ELG) and QURATOR. Rehm's work spans Language Technology, AI, and multilingual systems, with a focus on digital language equality, curation technologies, and open science infrastructure. He leads projects such as HIVEMIND (2025-2027) and Language Data Space (2023-2025), and has contributed over 275 publications in computational linguistics and related fields. His research addresses challenges in multilingual NLP, fake news detection, and ethical AI deployment. Rehm oversees strategic initiatives like the META-NET network and chairs conferences such as ACL Industry Track and Sci-K workshops. He advises on EU policy frameworks for language technology and collaborates with organizations like the DIN Presidential Committee and FOCUS.ICT. His academic network spans global institutions, and he actively participates in program committees for top venues including ACL, NAACL, and COLING. Rehm's lab develops tools like the Knowledge Storage Ecosystem and contributes to open-source LLM projects like Occiglot and OpenGPT-X. He holds a PhD and has over 25 years of industry-research experience. His research interests include semantic storytelling, interoperable metadata, and AI ethics. He is affiliated with multiple institutes, including the DFKI Lab Berlin and the W3C, and serves on editorial boards for journals like Language Resources and Evaluation.

Andrew Cowellمشاهده پروفایل

استاد

• Linguistic Anthropology
• Language Documentation
• Algonquian Languages
• +۵ مورد دیگر

Andrew Cowell is a Professor of Linguistics at the University of Colorado Boulder and Faculty Director of the Center for Native American and Indigenous Studies (CNAIS). He holds a PhD in French from UC Berkeley (1993) and an AB from Harvard University (1986). His work bridges linguistic anthropology, language documentation, and revitalization efforts for Indigenous languages. Specializing in Algonquian languages (Arapaho, Gros Ventre) and Polynesian languages (Hawaiian, Tahitian), he focuses on structural analysis, community-based documentation, and technological innovations like VR for language preservation. Cowell has authored foundational grammars, dictionaries, and pedagogical resources while advocating for Indigenous language rights through projects funded by NSF/NEH. Education: PhD (UC Berkeley), AB (Harvard) Research interests include polysynthetic grammar, semantic annotation frameworks (UMR/AMR), and cross-linguistic collaboration methodologies. His current NSF-funded project develops a lexical database for Arapaho. Earlier work explored medieval French literature and performance studies, reflecting his interdisciplinary approach to language and culture. Publications span theoretical linguistics, computational tools for endangered languages, and policy analysis for Indigenous language revitalization. He collaborates with Indigenous communities to create actionable resources for language maintenance and cultural continuity. Grants include major NSF/NEH support for lexical databases and cross-lingual semantic projects. His lab develops VR tools and digital archives for immersive language learning. Cowell also contributes to international initiatives like the UN’s International Decade of Indigenous Languages (IDIL) through policy evaluations and advocacy.

Alexandra Anna Spalekمشاهده پروفایل

دانشیار

• Natural Language Semantics
• Lexical Semantics
• Syntax
• +۴ مورد دیگر

Alexandra Anna Spalek is an Associate Professor in Spanish Language and Head of Education at the Department of Literature, Area Studies, and European Languages at the University of Oslo. She holds a PhD in Linguistic Communication and Multilingual Mediation from the University Pompeu Fabra (Barcelona, Spain) and has extensive experience in academic leadership, including her role as Head of Education since 2021. Her research focuses on natural language semantics, particularly lexical semantics, exploring how word meaning interacts with larger linguistic structures across languages. She has contributed to both theoretical and applied linguistics, addressing challenges in formal semantic models using data from Spanish, German, English, and Polish. Education & Background: PhD in Linguistic Communication and Multilingual Mediation, University Pompeu Fabra (2014) Postdoctoral Researcher in Syntax and Semantics at the University of Oslo (2015–2018) Senior Lecturer in German Linguistics at Østfold University College (2018–2020) Research Interests: Her work emphasizes lexical semantics, semantic coercion, polysemy, and the interplay between lexicography and computational methodologies. She investigates how context shapes meaning, particularly in cross-linguistic studies. Key areas include verb meaning, thematic roles, and the application of formal semantic frameworks. Teaching & Leadership: Spalek teaches courses in Spanish and German linguistics, covering morphology, syntax, pragmatics, and discourse analysis. As Head of Education, she oversees curriculum development and quality assurance at the departmental level, collaborating closely with the Faculty of Humanities. Labs/Teams: Affiliated with research groups such as Grammar and Meaning and Pragmatics: Theory & Experiments at the University of Oslo.

• Natural Language Processing
• Machine Learning
• Computational Social Science
• +۳ مورد دیگر

Dr. Tharindu Ranasinghe is a Lecturer in Security and Protection Science at the University of Lancaster's Computing and Communications Department. His research focuses on developing machine learning approaches for natural language processing (NLP) tasks, emphasizing NLP for Social Good, with applications in computational social science, digital humanities, and text adaptation. He has published in top-tier journals/conferences like ACL, EMNLP, and COLING. He serves as an Associate Editor for the Natural Language Processing journal and has held roles as Area Chair for major NLP conferences. He co-chairs the NeTTT conference series and the LoResLM workshop, promoting research in translation technology and low-resource language models. His work includes creating datasets like SOLD (Sinhala Offensive Language Dataset) and frameworks like MultiLS for lexical simplification. He has received awards for contributions to offensive language detection and quality estimation research. His research groups include SCC (Data Science) and UCREL (University Centre for Computer Corpus Research on Language). He advises PhD student Damith Dola Mullage. Dr. Ranasinghe’s contributions span ethical AI, multilingual NLP, and computational linguistics, addressing societal challenges through technology.

Neven Pintarićمشاهده پروفایل

پژوهشگر ارشد

• Information Systems Development
• IT Governance
• Open Science
• +۳ مورد دیگر

Dr. Neven Pintarić is a Research Fellow at the Department of Information Sciences and Technologies, University of Zadar. His work focuses on information systems development, IT governance, and open science initiatives. He leads projects like DIAMAS (developing open access publishing models) and contributes to the European University for Smart Urban Coastal Sustainability (EU Conexus). He teaches courses in Basics of Information Technology, Database Design, and Data Management. His research interests include digital competency frameworks, IT project management, and open research data policies across disciplines like archaeology and linguistics. He actively publishes on topics such as machine learning in education analytics, digital repository quality assessment, and metadata schema optimization for cultural heritage. Consultation hours are Thursdays 10:00-12:00 via email. He advises on institutional IT strategy development and has contributed to EU-funded projects addressing e-government systems and e-invoicing implementations.

Peter Storyمشاهده پروفایل

استادیار

• Usable Security
• Privacy Technologies
• Human-Computer Interaction
• +۲ مورد دیگر

Peter Story is an Assistant Professor in the Computer Science department at Clark University. He holds a PhD in Societal Computing from Carnegie Mellon University (2021) and a BS in Computer Science from Gordon College (2015). His research focuses on usable security and privacy, examining how people interact with protective technologies and developing behavioral interventions to improve adoption. Dr. Story's work bridges computer security and human-computer interaction, with specific interests in: Security/privacy tool usability and adoption barriers Behavioral nudges for security decisions Privacy policy comprehension and automation Web accessibility and inclusive design Authentication system usability His recent publications demonstrate consistent focus on privacy-enhancing technologies, with evolving emphasis on real-world deployment and accessibility considerations. Current projects include developing affordable security tools for high-risk groups like journalists. At Clark, he teaches courses including: Introductory Programming & Animation (CSCI 095) Societal Computing (CSCI 103) Data Structures (CSCI 121) Databases (CSCI 220)

Alexander Fraserمشاهده پروفایل

استاد

• Machine Learning
• Natural Language Processing (NLP)
• Multilingual Systems
• +۵ مورد دیگر

Prof. Alexander Fraser is a faculty member at the Technical University of Munich (TUM), holding the Chair of Data Analytics & Statistics within the TUM School of Computation, Information and Technology. He specializes in machine learning for natural language processing, particularly focusing on multilingual systems, data sparsity, and cross-lingual alignment. His research bridges theoretical advancements and practical applications, including projects on hate speech detection, low-resource language support, and ethical AI. Fraser earned his PhD in Computer Science from the University of Southern California (2007). Prior to TUM, he held professorial roles at LMU Munich (2013–2024) and the University of Stuttgart (2007–2013). He has led significant research initiatives, including ERC grants and EU-funded projects like Health in my Language (HimL). His work has been recognized with awards such as the ERC Advanced Grant (2023) and ERC Proof of Concept Grant (2022). Teaching responsibilities include courses on large language models, generative models, and machine learning at TUM. Fraser is also a Principal Investigator at the Munich Center for Machine Learning (MCML) and an active member of the ELLIS Unit Munich. His contributions span academic research, industry collaboration, and language revitalization efforts for minority languages like Sorbian. Key publications highlight innovations in multilingual benchmarks, cross-lingual alignment, and ethical NLP applications. His research addresses challenges in data scarcity, model bias, and responsible AI deployment across diverse linguistic landscapes.

Haidee Kotzeمشاهده پروفایل

استاد

• Translation Studies
• Corpus Linguistics
• Language Variation
• +۳ مورد دیگر

Prof. Dr. Haidee Kotze is a Professor of Translation, Intercultural Communication, and Education at Utrecht University's Department of Languages, Literature, and Communication. She holds an honorary professorship at the North-West University in South Africa. Her research focuses on language variation and change in contact settings, translation studies, and the intersection of linguistics with digital humanities. She serves as editor-in-chief of Target: International Journal of Translation Studies and contributes to the Taalportaal Afrikaans grammar project. Her work explores translated language, World Englishes, and the role of language mediators in parliamentary discourse. Key research themes include sociolinguistic dynamics, corpus linguistics, and eye-tracking studies. She co-edits the Translation, Interpreting and Transfer book series and is a member of the Centre for Translation Studies (CETRA) and the Thematic Network on Empirical and Experimental Research in Translation (TREC). Kotze's 2013 EST Young Scholar Award recognizes her groundbreaking monograph on postcolonial translation in South African children's literature. Her academic contributions span translation ethics, multilingualism, and digital humanities, with a focus on sociocultural impacts of language contact. She actively engages in public discourse about translation's role in society, as seen in her Medium articles and media appearances.

• Natural Language Processing
• Information Retrieval
• Web Personalization
• +۶ مورد دیگر

Wolfgang Nejdl is a distinguished Professor at Leibniz University Hannover, working within the Faculty of Mathematics and Computer Science and affiliated with the Institute of Information Systems. With an extensive publication record spanning over two decades, he has established himself as a leading researcher in Natural Language Processing, Information Retrieval, and Web Personalization. His work bridges theoretical advances with practical applications, particularly in clinical NLP and semantic web technologies. Nejdl's research interests encompass a broad spectrum of topics including Natural Language Processing, Information Retrieval, Web Personalization, Semantic Web technologies, Machine Learning applications, Clinical NLP, and Recommender Systems. His recent work has focused on critical challenges such as clinical outcome prediction using MIMIC datasets, financial literacy evaluation of large language models, and developing resources for low-resource languages like Tigrinya. He has made significant contributions to understanding data drift in clinical applications and developing interpretable AI systems for healthcare. His publication record shows a consistent trajectory of impactful research, with recent articles demonstrating his ability to tackle emerging challenges in NLP and AI. From his foundational work on web personalization using ODP metadata to his current research on clinical NLP and low-resource language processing, Nejdl has consistently addressed important problems at the intersection of information systems and human needs. His work on stance detection incorporating toxicity and morality analysis represents innovative approaches to understanding social media discourse. Among his notable achievements are the development of the EDUTELLA P2P infrastructure based on RDF, significant contributions to boilerplate detection algorithms, and pioneering work on preventing shilling attacks in recommender systems. His research has been widely cited, reflecting its substantial impact on the fields of web science and natural language processing. Nejdl has supervised numerous students and collaborated extensively with researchers worldwide, particularly with Alexander Loeser, Jens-Michalis Papaioannou, and Paul Grundmann. His work demonstrates a consistent focus on practical applications of theoretical advances, particularly in healthcare and web technologies. He has also worked on important infrastructure projects like the L3S Research Center, contributing to the broader academic and technological ecosystem.