جستجوی استاد راهنمای دانشگاهی

Mariam Adedoyin-Oloweمشاهده پروفایل

مدرس

• Data Mining
• Data Science
• Artificial Intelligence
• +۳ مورد دیگر

Mariam Adedoyin-Olowe is a Lecturer and Programme Leader for the MSc Artificial Intelligence at Birmingham City University . Her research focuses on Data Mining, Data Science, and Artificial Intelligence, particularly in analyzing social media data for event detection and decision-making support. Doctorate in Computing Science from Robert Gordon University First degree from University of Portsmouth Research Interests center on applying data mining techniques to Twitter data for tracking real-world events, sentiment analysis, and customer segmentation. Her work bridges computational methods with practical applications in politics, sports, and healthcare domains. Key Publications include studies on: Transformer-based transfer learning for cross-lingual news events AI-driven mental fatigue detection systems Temporal clustering methods for social media event resolution Deep learning approaches for sound classification Rule dynamics frameworks for political event detection Academic Affiliations include membership in BCU's Data Mining Group and Data Analytics & Artificial Intelligence Research Group, as well as former involvement with RGU's Data Science and Information Retrieval groups. She regularly reviews for international conferences and journals.

Liana Ermakovaمشاهده پروفایل

مدرس

• Natural Language Processing
• Information Retrieval
• Artificial Intelligence

Liana Ermakova is a Lecturer in Computer Science at Université de Brest , associated with the research group Heritage and Creation in Text and Image (HCTI, EA 4249) . Her work focuses on Natural Language Processing , Information Retrieval , and Artificial Intelligence . Doctorate in Computer Science (2016) from the Toulouse Computer Science Research Institute (IRIT) with distinction Her research bridges computational methods and humanistic approaches, particularly through projects like JOKER (humour/wordplay translation) and SimpleText (scientific text simplification). Key publication themes include: Query expansion and tweet contextualization Humour recognition in multilingual contexts Scientific text simplification for non-experts Analysis of medical and pandemic-related discourse Evaluation metrics for summarization LLM reliability in scientific information access She actively contributes to the CLEF Association workshops and publishes in top IR/NLP venues. Current projects examine: Overcoming LLM hallucinations in scientific search Automated complexity spotting in abstracts Contextualization of short texts

• Artificial Intelligence
• Machine Learning
• Deep Learning
• +۹ مورد دیگر

Professor Sule Yildirim Yayilgan is a distinguished academic at the Department of Information Security and Communication Technology (IIK) within the Faculty of Information Technology and Electrical Engineering at the Norwegian University of Science and Technology (NTNU) in Gjøvik. She has held the position of Professor since 2020, following her tenure as Associate Professor from 2016-2020. Dr. Yayilgan previously served as Head of Department between 2005-2009 at HIHM (now part of NTNU). Her academic journey spans over 30 years in teaching and research, with significant contributions to interdisciplinary fields bridging AI, cybersecurity, and privacy. Her educational background includes a MSc in Computer Engineering (1995) and a PhD in Artificial Intelligence and Computer Science (2002). Dr. Yayilgan has led and participated in numerous international research projects funded by EU Horizon 2020, Eurostars, Erasmus+, and various Norwegian research councils. She currently leads the MR PET (Multidisciplinary Research group on Privacy and data protEcTion) research group and serves on the scientific board of NTNU's strategic area in Data Science. Dr. Yayilgan's research spans multiple domains with a unifying focus on ethical, legal, and privacy-preserving AI systems. Her work addresses critical challenges in health, energy, education, and security sectors through advanced AI methodologies. She has published over 100 journal and conference papers, with recent work focusing on hate speech detection, border security technology acceptance, smart grid security, and explainable AI applications. Her publications demonstrate a strong emphasis on practical implementations that balance technical innovation with societal considerations. As an active research leader, she currently oversees several significant projects including VIPA-DELF (vineyard disease detection using federated learning), METICOS (border control technology monitoring), CINELDI (intelligent electricity distribution), and AQMA (air quality monitoring). She also serves on multiple ethics boards and research integrity committees, reflecting her commitment to responsible innovation. Dr. Yayilgan has supervised numerous graduate students throughout her career, advising 41+2 (in progress) MSc students and 3+2 (periods) +6 (in progress) PhD candidates. Her administrative contributions include membership in NTNU's Research Integrity Committee, the Trondheim ACM Women Chapter, and various project management boards for EU-funded initiatives. She maintains active professional affiliations with IEEE, the International Association for Pattern Recognition, and COST Actions focused on language technologies and security research.

• Institutional Language Use
• Financial Economics
• Business Discourse
• +۵ مورد دیگر

Claes Ohlsson is an Associate Professor in Swedish Language at Linnaeus University, Sweden. His research examines institutional language use across financial economics, business discourse, and corporate responsibility, employing text/discourse analysis and computational methods. He leads projects on Market Language (2022-2025) and smaller studies on budget concepts and urban linguistic landscapes. Research Themes: Financial literacy rhetoric, corporate responsibility framing, market concept evolution, multilingual urban environments Affiliations: Linnaeus University (since 2017), University of Gothenburg, Chalmers University Recent Articles trace market terminology in Swedish parliamentary records (2022), analyze election campaign language (2023), and explore financial advertising history (2024). His work combines corpus linguistics, critical discourse analysis, and digital humanities approaches.

• Academic Writing
• Language Didactics
• Police Training Writing
• +۲ مورد دیگر

Sofia Ask is a lecturer in Swedish with a didactic focus at Linnaeus University's Department of Swedish within the Faculty of Arts and Humanities . Her research centers on student writing in higher education and language practices in police training , analyzing how learners navigate academic writing transitions and how police professionals develop workplace communication skills. Research Groups : Center for Educational Linguistics Center for Technical Language (CFS) Her work explores text interpretation in police classrooms , authoritative language in police training , and language didactics for pre-university transitions . Recent publications examine digital participation in courtrooms and language competence in teacher training . She leads internationalization initiatives for the Department of Swedish, facilitating teacher and student exchanges. Her methodological approaches combine experimental studies , genre analysis , and discourse studies across educational and professional contexts.

Susana Chávez-Silvermanمشاهده پروفایل

استاد

• Latin American Literature
• U.S. Latinx Literature
• Poetry and Poetics
• +۶ مورد دیگر

Susana Chávez-Silverman is a Professor of Romance Languages and Literatures at Pomona College, where she has taught since 1989. She is currently on leave during Spring 2026. Her email contact is suzanne.chavezsilverman@pomona.edu. Ph.D. in Spanish, University of California, Davis (1991) Master of Arts in Romance Languages and Literatures, Harvard University (1979) Bachelor of Arts, University of California, Irvine (1977, magna cum laude) Chávez-Silverman is a pioneering scholar and writer in U.S. Latinx and Latin American literature, specializing in queer sexualities , bilingual poetics , and experimental memoir . Her creative works blend Spanish and English in groundbreaking crónicas that redefine literary boundaries. She has been widely anthologized and celebrated for her contributions to transcultural studies and gender theory . Her research focuses on transnational Latinx identity , code-switching in literature , and trauma narratives . The 15 most recent works include meditations on diaspora, queerness, and linguistic hybridity, often using innovative narrative forms like email and text message styles. Audio recordings of her works are available through the University of Wisconsin Press. International Latino Book Awards, 2nd Place (2020) Lucas Artist Fellowship, Montalvo Arts Center (2006) El andar magazine Memoir Prize (2002) Multiple NEH Fellowships and Grants (1992-2007)

Marie Purenمشاهده پروفایل

دانشیار

• History
• Digital Humanities
• Political Ideologies
• +۲ مورد دیگر

Marie Puren is an Associate Professor in history and digital humanities at EPITECH Paris , where she leads the Digital Methods for Humanities and Social Sciences (MNSHS) team since 2022. She also holds research affiliations with the LRE laboratory , Jean-Mabillon Center , and LARHRA in Lyon. Her work bridges historical analysis with computational techniques, focusing on political ideologies, cultural heritage preservation, and digital methodologies. Her research interests include: Digital Humanities and Computational History Political Ideologies in the French Third Republic Cultural Heritage Modeling Textual Analysis with NLP and XML-TEI History of Publishing and Literary Collaboration Marie contributes to major projects like AGODA (parliamentary debates analysis) and SILKNOW (silk heritage preservation). She teaches courses on digital methodologies, historical research, and environmental impacts of technology. Her leadership in Humanistica and participation in international conferences highlight her academic influence.

• Onomastics
• Dialectology
• Linguistics
• +۵ مورد دیگر

Mícheál B. Ó Mainnín is a Professor at the School of Arts, English and Languages, Queen’s University Belfast, specializing in Modern Languages. He is a graduate of NUI Galway (BA 1984, MA 1987) and Queen’s University Belfast (PhD 2002). His career spans over three decades, including roles as Director of the Northern Ireland Place-Name Project and co-investigator on the AHRC-funded MEITS project. PhD, Celtic Studies, Queen’s University Belfast (2002) MA, Irish Language and Literature, NUI Galway (1987) BA, Irish Studies, NUI Galway (1984) His research focuses on onomastics (Irish and Scottish Gaelic place-names), dialectology , and language and identity in Ireland and Scotland, bridging medieval and modern periods. Current projects include a monograph on the toponymy of the plain of Macha and digitizing Wagner’s Linguistic Atlas and Survey of Irish Dialects . His publications analyze pan-Gaelic linguistic patterns, multilingual policy frameworks, and literary/cultural connections between Ireland and Scotland. Recent research trends emphasize bilingual place-name standardization, minority language policy in France and Ireland, and the intersection of language, conflict, and reconciliation. He has contributed to digital humanities through the MEITS project and public engagement via radio interviews and press commentary. As an educator, he teaches Irish phonetics, Scottish Gaelic literature, and late medieval Gaelic texts, supervising postgraduate work on sociolinguistics, dialectology, and literary revivalism. Editorial Roles : Léann: Irish Chumann Léann na Litríochta (vols. 1-4), Ainm: A Journal of Name Studies (vols. 9-10) Advisory Board : Aiste. Studies in Gaelic Literature (University of Glasgow) Ó Mainnín’s career integrates research, teaching, and public scholarship, with a focus on Gaelic cultural heritage and policy implications for minority languages.

• Norwegian as a second language
• Children's language development
• Multilingualism
• +۳ مورد دیگر

Elena Tkachenko is a Lecturer at Oslo Metropolitan University, affiliated with the Faculty of Teacher Education and International Studies and the Department of Primary and Vocational Teacher Education, where she serves as Study Leader for Area 3. Based at Pilestredet 42, 0167 Oslo, she maintains active research and teaching responsibilities focused on language education. Dr. Tkachenko holds a degree in Applied Linguistics from St. Petersburg State University, which forms the foundation of her expertise in language acquisition and multilingual education. Her academic journey has centered on practical applications of linguistic theory in educational settings, particularly within Norwegian contexts. Her primary research interests include Norwegian as a second language, children's language development, and multilingualism, with special attention to translanguaging practices in early childhood education. Dr. Tkachenko conducts research on multilingual children, students, and staff, collaborating closely with practitioners to develop effective multilingual practices in education. Her work examines how linguistic diversity can be leveraged as a resource rather than a challenge in learning environments, particularly focusing on newly arrived immigrant populations including Ukrainian children in Norway. Analysis of Dr. Tkachenko's recent publications reveals a strong trajectory toward understanding how educational institutions can better support multilingual development through teacher training, policy implementation, and classroom practices that validate students' full linguistic repertoires. Her work spans Nordic early childhood education settings, examining translanguaging strategies, language policy implementation, and the use of AI in second language learning, demonstrating practical applications of theoretical frameworks in real educational contexts. Dr. Tkachenko actively contributes to research projects including the current pilot project on 'Second language students' use of AI and the use of AI in second language learning' and previously contributed to 'Increased quality in early literacy education in Ethiopia.' She regularly presents her findings at international conferences and participates in professional development seminars for educators. She is a member of the research groups 'Beginner training' and 'Cultural diversity and multilingualism in a global perspective,' where she collaborates with colleagues on advancing understanding of inclusive educational environments. Her work with language helpers and minority language assistants demonstrates her commitment to practical, community-based approaches to language education.

• Music Performance
• Vocal Arts
• Classical Singing
• +۳ مورد دیگر

Raminta Vaicekauskaitė is a Lecturer in the Singing Department at the Music Academy of Vytautas Magnus University in Kaunas, Lithuania. Her primary affiliation with the institution is well-documented through her extensive performance record and departmental listings. Her research interests focus on Music Performance, Vocal Arts, Classical Singing, Choral Music, Opera Performance, and Music Education. These areas are reflected in her diverse performance portfolio spanning classical repertoire, contemporary Lithuanian compositions, and international works requiring multilingual proficiency. Analysis of her recent publications (2020-2024) reveals a strong emphasis on Lithuanian cultural expression through music, particularly in patriotic and sacred compositions. Her work demonstrates expertise in both solo and ensemble performance contexts, with significant contributions to premiere performances of contemporary Lithuanian works while maintaining strong engagement with classical repertoire including Puccini operas and Orff's Carmina Burana. Her performance activities span multiple specialized areas including vocal technique development, cross-cultural musical interpretation, historical performance practice, and collaborative music-making. The diversity of her repertoire indicates both technical versatility and deep cultural engagement with Lithuanian musical heritage.

• Natural Language Processing
• Computational Linguistics
• Distributional Semantics
• +۵ مورد دیگر

Ana-Sabina Uban is an Associate Professor at the Faculty of Mathematics and Computer Science, University of Bucharest . She earned her Ph.D. in Computer Science in 2020 under the supervision of Professor Liviu Dinu with a thesis on distributional and stylistic aspects of natural language. She teaches and coordinates courses in natural language processing, AI, and machine learning for both computer science and digital humanities students. Education: Ph.D. in Computer Science, University of Bucharest (2020) – Thesis: "Distributional aspects of natural language. Semantic and stylistic dimensions of text" Research Interests: Dr. Uban’s research is strongly interdisciplinary, bridging natural language processing , computational linguistics , psychology , and cognitive science . She explores historical computational linguistics , distributional semantics , and multilingualism , while also investigating explainability in AI models and mental health disorder detection using social media data. Research Trends & Publication Focus: Her recent publications span clinical NLP , mental health detection , historical linguistics , and multilingual cognate identification . A recurring theme is the application of advanced NLP techniques—such as transformer models, contrastive learning, and ensemble classification—to real-world problems in health, literature, and historical language study. Teaching & Student Supervision: Dr. Uban currently teaches and coordinates the following courses: Bio-medical NLP – Master’s level (English) Artificial Intelligence – Bachelor’s level for Mathematics students Practical Introduction to Machine Learning – Master’s level for Digital Humanities students Natural Language Processing 1 & 2 – Master’s labs and projects Contact: auban@fmi.unibuc.ro

• Text mining
• Intelligent information retrieval
• Natural language processing
• +۵ مورد دیگر

Efstathios Stamatatos is a Professor in the Department of Information and Communication Systems Engineering at the University of the Aegean, Greece. He has been a faculty member at the university since 2004, following previous research positions at the Wire Communications Lab of the University of Patras, the Polytechnic University of Madrid, the Austrian Research Institute for Artificial Intelligence, and the TEI of Ionian Islands. His primary research interests include Text mining, Intelligent information retrieval, Natural language processing, Machine learning, and Computer music, with a particular focus on authorship attribution, plagiarism detection, and web genre identification. His work bridges computational linguistics, digital forensics, and digital humanities, applying machine learning techniques to analyze textual patterns and stylistic features. Dr. Stamatatos has authored numerous publications on authorship attribution, plagiarism detection, and text classification, with a strong emphasis on developing robust methodologies that work across different domains and languages. His research has evolved from traditional n-gram approaches to more sophisticated techniques involving machine learning ensembles, topic modeling, and recently, addressing challenges posed by generative AI systems. He has served as Associate Editor for the International Journal of Digital Crime and Forensics, and as Editorial Board Member for Language Resources and Evaluation and Information Processing and Management. He has also been Guest Editor for a Special Issue on Plagiarism and Authorship Analysis in Language Resources and Evaluation. Dr. Stamatatos has been instrumental in organizing the PAN (Uncovering Plagiarism, Authorship, and Social Software Misuse) workshop series, serving as co-organizer and contributing numerous overview papers on authorship verification, plagiarism detection, and digital text forensics. He has also served on program committees for major conferences including ACL, SIGIR, ECIR, and AAAI.

• Speech Processing
• Automatic Speech Recognition
• Auditory Modeling
• +۳ مورد دیگر

Philip Neil Garner is a Researcher at the Idiap Research Institute (LIDIAP), affiliated with École Polytechnique Fédérale de Lausanne (EPFL). His current position is listed as "EPFL member Current" with email philip.garner@epfl.ch. He maintains an active research profile with publications spanning from 2013 to 2025. Garner's research focuses on the intersection of physiological auditory modeling and machine learning for speech processing. His work bridges cochlear physiology with automatic speech recognition systems, investigating how biological principles of hearing can inform and improve computational models. Key areas include modeling the cochlea as an active amplifier using Hopf oscillators, exploring neural oscillations in speech perception via spiking neural networks, and developing interpretable affective speech synthesis systems. His research demonstrates consistent interest in creating biologically plausible models that maintain compatibility with modern deep learning frameworks. Analysis of his recent publications reveals a clear trajectory toward integrating physiological auditory models with state-of-the-art speech recognition systems. His work increasingly focuses on creating hybrid models that maintain physiological plausibility while leveraging pre-trained acoustic models. The research shows particular attention to modular approaches that allow different components (cochlear models, neural networks) to interact meaningfully, with emphasis on understanding how end-to-end learning affects physiological interpretations of speech processing. Garner has supervised multiple doctoral students including Louise Coppieters De Gibson, Bastian Schnell, and Sibo Tong, whose theses address cochlear modeling, affective speech synthesis, and multilingual speech recognition respectively. His research has received funding from the Swiss National Science Foundation as indicated in two publications. While specific grants aren't detailed, his work demonstrates consistent collaboration with Hervé Bourlard and Alexandre Bittar across multiple projects. As a core researcher at Idiap Research Institute, Garner works within a multidisciplinary team focused on speech processing and artificial intelligence. His publications indicate collaboration across units including LIDIAP, EDEE, STI, IEL, and LCAV at EPFL, suggesting integration within both the Idiap institute and broader EPFL research ecosystem. His work connects computational neuroscience with practical speech technology applications, positioning him at the intersection of theoretical auditory modeling and applied speech processing.

Mark Stevensonمشاهده پروفایل

مدرس ارشد

• Natural Language Processing
• Information Retrieval
• Machine Learning
• +۸ مورد دیگر

Mark Stevenson is a Senior Lecturer in the School of Computer Science at the University of Sheffield, UK. He leads undergraduate programs and serves as a key member of the Natural Language Processing research group , focusing on knowledge extraction from text and user information access solutions. Research Interests : Natural Language Processing Information Retrieval Machine Learning Biomedical Text Disambiguation Lexical Semantics Exploratory Search Systems Scientific Awards : EPSRC Advanced Research Fellowship (2006-2011) Best Paper Award at CLEF 2004 Grants & Projects : He has secured significant funding including the EU FP7 PATHS project (£709,407), EPSRC grants for biomedical disambiguation (£239,920) and Lexical Adaptation (£30,000), and NIHR funding for public health research access systems.

Meghan Corellaمشاهده پروفایل

دانشیار

• Bilingual/Multilingual Education
• Critical Literacies/Pedagogies
• Discourse Analysis
• +۴ مورد دیگر

Dr. Meghan Corella is an Associate Professor in the Faculty of Education at the University of British Columbia. Her research focuses on power dynamics in language and literacy practices, with expertise in sociocultural linguistics, critical pedagogies, and intersectional feminist theory. Bilingual/multilingual education Discourse analysis Antiracism and language ideologies Gender and queer inclusion Identity formation in education Corella's recent publications examine multimodal literacy practices, racialized experiences in academia, gestural conflict resolution in classrooms, and systemic language hierarchies. Her work consistently centers on marginalized children's communicative competence and semiotic agency. She teaches graduate courses on discourse analysis, child language development, and language pedagogies, emphasizing power and politics in communication practices.