جست‌وجوی استاد و پژوهشگر

• Cybersecurity
• Privacy
• Data management
• +۴ مورد دیگر

Dr. Wanlun Ma is a Postdoctoral Research Fellow at the School of Science, Computing and Emerging Technologies , Swinburne University of Technology . He earned a Bachelor's and Master's in Information and Communication Engineering from the University of Electronic Science and Technology of China (UESTC) in 2017 and 2020, respectively, followed by a Ph.D. in Computer Science from Swinburne University of Technology in 2024. His research focuses on Trustworthy and Responsible AI , particularly in adversarial machine learning, network security, and privacy preservation. Education B.E., M.E. in Information and Communication Engineering, UESTC (2017, 2020) Ph.D. in Computer Science, Swinburne University of Technology (2024) Research Interests Trustworthy AI systems Adversarial machine learning Network security and privacy AI ethics and accountability Grants Australian Research Council (ARC) grant (2025-2029) for AI Models for Digital Manufacturing Supervision Available to supervise Ph.D. candidates

• Computational Linguistics
• Digital Libraries
• Automatic Indexing
• +۴ مورد دیگر

Lyne DA SYLVA is Full Professor and Head of the School of Library and Information Sciences (École de bibliothéconomie et des sciences de l’information) within the Faculty of Arts and Sciences at Université de Montréal. She also leads several large-scale interdisciplinary research projects funded by SSHRC and FRQSC, sits on the governing bodies of the Observatory of Sense-Text Linguistics (OLST) and the Interuniversity Research Centre on Digital Humanities (CRIHN), and supervises graduate students in information science. Education B.Sc. in Applied Mathematics, Université d’Ottawa (1987) Certificate in Linguistics, Université de Genève (1991) M.A. in Linguistics, Université de Montréal (1990) Ph.D. in Linguistics, Université de Montréal (1999) Research Focus Da Sylva’s work lies at the intersection of computational linguistics and information science . She employs symbolic, rule-based models to develop tools for automatic indexing, summarisation, and semantic enrichment of digital documents. A second stream examines digital libraries as complex sociotechnical systems, investigating how language technologies can improve discovery and use of multilingual scholarly content. Thirdly, she explores documentary semiotics , analysing the sign systems that underlie information architectures in libraries, archives and museums. Recent projects centre on: automatic back-of-the-book indexing for digital monographs; research-data management ecosystems in Canadian universities; semiotic aspects of entities and identity in semantic-web datasets; algorithmic law and the migration of legal norms into technical devices. Funding & Partnerships Since 2005 she has been principal investigator or co-investigator on more than CAD 5 million in grants from SSHRC, FRQSC and NSERC. She currently co-leads the strategic partnership “Autonomisation des acteurs judiciaires par la cyberjustice” (2018-2026) and heads the FRQSC team grant “Le lexique entre humains et machines” (2025-2030). Scientific Awards & Distinctions While no named awards are explicitly listed, her continuous success in highly competitive tri-council funding programmes and her invitations to keynote or guest-edit leading journals (Document numérique, Documentation et bibliothèques) attest to national and international recognition. Supervision & Teaching At the master’s and doctoral levels she teaches courses on research-data management, indexing methodology, thesaurus construction, digital libraries and NLP tools for information professionals. She has supervised or co-supervised four recent theses covering legal recognition of smart contracts, archival vocabulary for thematic access, linked-data initiatives at Bibliothèque et Archives nationales du Québec, and terminological variation in thesauri. Laboratories & Teams Her research is anchored in the OLST (Observatoire de linguistique Sens-Texte) and the CRIHN (Centre de recherche interuniversitaire sur les humanités numériques), both of which provide computational infrastructure and interdisciplinary collaboration networks for projects in language technology, digital humanities and data curation.

Rob Gaizauskasمشاهده پروفایل

استاد

• Natural Language Processing
• Information Extraction
• Temporal and Spatial Information Processing
• +۷ مورد دیگر

Professor Rob Gaizauskas is a faculty member at the University of Sheffield , serving as Co-Director of the UKRI Centre for Doctoral Training in Speech and Language Technologies and leading the Natural Language Processing (NLP) research group . His academic journey began with a DPhil in Cognitive and Computing Sciences from the University of Sussex (1992), preceded by degrees in Philosophy from Carleton University and a Diploma in Information Processing. Education : DPhil (University of Sussex, 1992), MA (Carleton University, 1978), BA (Carleton University, 1975) His research focuses on NLP , particularly information extraction from texts, temporal/spatial information processing , automatic image description , argument mining , and evaluation of NLP systems . He has pioneered work in multi-document summarization , dialogue analysis , and comparable corpora for machine translation. Notable grants include: UKRI Centre for Doctoral Training in Speech and Language Technologies (2019–2027, £5.5M) VisualSense (2013–2016, £310k) SENSEI Project (2013–2016, £459k) ACCURAT (2010–2012, £268k) Scientific contributions : Co-developer of the GATE framework for text engineering Led biomedical NLP projects like BioWSD and PASTA Pioneering work in temporal relation identification (TempEval)

• Computational Linguistics
• Natural Language Processing
• Terminology Management
• +۳ مورد دیگر

Jody Foo is a Lecturer at the Department of Computer and Information Science, Linköping University. They are affiliated with the Natural Language Processing Lab (NLPLAB) and the Human-Centered Systems (HCS) research group. Their work bridges computational methods with terminology management. Education: Licenciate degree in Computational Linguistics; Magistersexamen (~MSc) in Cognitive Science. Research Focus Jody’s research centers on computational terminology management , involving: Monolingual and bilingual automatic term extraction Term clustering and semantic mirroring Terminology harmonization for standardization Integration of machine learning and language models Applications in patent analysis and SMT (Statistical Machine Translation) Publication Trends Their publications (2003–2014) span computational linguistics, NLP, and terminology engineering. Notable areas include SVM-based term detection, semantic mirroring for patent terminology, and corpus augmentation for machine translation. Collaborative works with Merkel, Andersson, and others highlight interdisciplinary approaches. Contact Email: jody.foo@liu.se | Office: Room E 3F:482, Linköping

• Natural Language Processing
• Computational Linguistics
• Syntax Analysis
• +۴ مورد دیگر

Vojtěch Kovář is a researcher at Masaryk University with dual appointments at the Institute of the Czech Language (Faculty of Arts) and the Center for Natural Language Processing (Faculty of Informatics). He has been affiliated with the university since 2006, holding positions as researcher and lecturer while also working as a software analyst at Lexical Computing CZ since 2012. His research focuses on automatic syntactic analysis of natural languages , particularly Czech and related languages, evaluation of syntactic analysis quality , integration of syntactic tools into downstream applications , and corpus linguistics . His work bridges theoretical linguistics with practical language technology applications. Recent publications reveal a strong trend toward dictionary creation methodologies , lexicographic infrastructure development , and corpus-based language resource compilation . His research increasingly addresses rapid dictionary development for both European and Asian languages, as well as bilingual resource creation in response to emerging language needs. PACLIC 2010 best student paper award Member of eLex conference program committee (2017-present) Kovář supervises bachelor's and master's theses at both the Faculty of Arts and Faculty of Informatics, with recent topics including semi-automatic dictionary creation, web-based proofreading systems, and automatic punctuation correction. He teaches multiple courses including Fundamentals of Mathematics and Statistics for Humanities, Algorithmic Description of Syntax, and Programming Basics for Humanities. His research is supported by projects including LINDAT/CLARIAH-CZ (Digital Research Infrastructure for Language Technologies) and the Web-based spelling, grammar and typographical corrector for Czech language initiative.

Tal Augustمشاهده پروفایل

استادیار

• Human-Computer Interaction (HCI)
• Natural Language Processing (NLP)
• Science Communication
• +۵ مورد دیگر

Tal August is an Assistant Professor at the University of Illinois at Urbana-Champaign's Siebel School of Computing and Data Science. His research focuses on adapting language to improve communication between humans and technology, emphasizing personalized language systems for science, health, and legal domains. He holds a PhD from the University of Washington (Allen School of Computer Science and Engineering), advised by Katharina Reinecke and Noah Smith. Research Interests: Human-Computer Interaction (HCI) : Designing tools that bridge communication gaps through language adaptation. Natural Language Processing (NLP) : Developing AI systems for automatic language personalization. Science Communication : Studying how language affects knowledge sharing in technical domains. Interdisciplinary Collaboration : Breaking down barriers through tailored communication strategies. Awards : Honored on the List of Teachers Ranked as Excellent by Their Students (2025). Recognized for contributions to personalized language tools via grants from the Allen Institute for AI. Advising & Grants : Recruiting 1-2 PhD students for Fall 2025. Recent grant supported work on personalizing research literature searches for scholars. Courses Taught : CS 598 TAL - Language, Interfaces, and Communication (focuses on HCI/NLP intersections). Key Projects : Innovations include TermSight (simplifying legal contracts), Qlarify (expandable scientific summaries), and Semantic Reader (AI-augmented reading interfaces).

• Translation Studies
• Corpus Linguistics
• Machine Translation
• +۵ مورد دیگر

Professor Ekaterina Lapshinova-Koltunski serves as Full Professor (W3) in Multilingual Technical Specialized Communication at the University of Hildesheim since October 2022. She is affiliated with the Institute for Translation Studies & Specialized Communication within Department 3: Linguistics and Information Sciences. Previously, she held positions as Akademische Oberrätin (equivalent to Associate Professor) at Saarland University (2017-2022) and served as Interim Professor at the University of Hildesheim (2020-2021). Her educational background includes: Habilitation in Linguistics, Translation Studies and Corpus Linguistics (2016) from Saarland University PhD in Computational Linguistics (2011) from University of Stuttgart Postgraduate studies in Language Data Processing (2003-2006) from Georg August University of Göttingen Diploma in Translation, Interpreting and Intercultural Communication (1997-2002) from Volgograd State University Professor Lapshinova-Koltunski's research focuses on the intersection of translation studies, corpus linguistics, and artificial intelligence, with particular emphasis on machine translation, plain language communication, and multilingual technical communication. Her work bridges theoretical linguistics with practical applications in healthcare communication, accessibility, and translation technology. She has made significant contributions to understanding cohesion and coherence in translation, cross-linguistic variation, and the cognitive aspects of translation processes. Her recent publications (2024-2025) demonstrate a strong shift toward AI applications in translation, particularly in health communication and plain language translation. These works examine how large language models can support the creation of accessible medical information, analyze gender representation in machine translation, and develop practical frameworks for integrating AI tools into editorial workflows. Her research shows increasing focus on practical applications of translation technology to address real-world communication challenges, especially in healthcare contexts. She actively serves as a reviewer for major funding organizations including DFG and Research Foundation – Flanders, and for numerous prestigious journals and conferences in computational linguistics and translation studies. Her current grant portfolio includes: Project B7 'Translation as Rational Communication' in SFB1102 (2022-2026) 'AI-supported health communication in Plain language' funded by the Ministry of Science and Culture of Lower Saxony (May 2024-August 2025) 'Use of AI tools in intralingual translation of health communication' with Wort & Bild Verlag (October 2023-April 2024) 'Data triangulation in translation process research' startup grant from University of Hildesheim (August 2023-January 2024) Professor Lapshinova-Koltunski holds multiple administrative roles including membership in various examination committees for master's programs in International Communication and Translation, Barrier-free Communication, and Technical Communication, as well as serving on the Faculty Council and Research Committee for Department 3.

• Blockchain
• Web Mining
• Information Retrieval
• +۷ مورد دیگر

Dr. Arnaud Gaudinat is an Associate Professor at the Geneva School of Business Administration (HEG Genève), part of the University of Applied Sciences and Arts of Western Switzerland (HES-SO). He is affiliated with the Economy and Services faculty and primarily works within the Department of Information Science. His educational background includes expertise in information science, with teaching responsibilities spanning multiple programs: MSc HES-SO in Information Science - teaching Data Curation and Information Architecture BSc HES-SO in Management Information Systems - teaching On-chain Analysis BSc HES-SO in Information Science - teaching Web Analytics, Survey Techniques, and Advanced Drupal Content Management BSc HES-SO in Business Economics - teaching Data Analytics and Data 4.0 Dr. Gaudinat's research focuses on the intersection of information science, web technologies, and data analytics. His work spans Web Mining, Information Retrieval, Blockchain applications, and Web Analytics. He has made significant contributions to biomedical text mining, developing systems for dataset retrieval and exploring applications of blockchain in information science. His recent work includes stablecoin taxonomy and using AI for information monitoring. Dr. Gaudinat approaches information science with a practical perspective, often developing tools and methods that address real-world information challenges in both academic and industry contexts. His research output shows a consistent focus on practical applications of information retrieval and text mining techniques, with a growing interest in blockchain technologies and their implications for information management. His most recent publications demonstrate expertise in cross-lingual analysis, stablecoin classification, and AI-assisted information monitoring. Dr. Gaudinat has received research funding from multiple sources including Innosuisse, swissuniversities-P5, and HES-SO. His projects often involve collaboration with both academic and industry partners, reflecting his commitment to bridging theoretical research with practical applications. His current research projects include: Precise Intelligence : Big Data Analytics for comprehensive Global Trade Flow Intelligence INCIPIT : Infrastructure Nationale d'un Complément d'Identifiants Pérennes, Interopérables et Traçables GOES : Global Online Expertise Search, a Web mining project for finding relevant people for specific surveys Dr. Gaudinat's work demonstrates a strong commitment to advancing information science through both theoretical contributions and practical applications that address contemporary challenges in data management and analysis.

Sophia Ananiadouمشاهده پروفایل

استاد

• Natural Language Processing
• Text Mining
• Artificial Intelligence
• +۹ مورد دیگر

Sophia Ananiadou is a Professor in the School of Computer Science at the University of Manchester , where she serves as Director of The National Centre for Text Mining (NaCTeM) , the world’s first publicly funded text mining center. She leads interdisciplinary research at the intersection of Natural Language Processing (NLP) , Artificial Intelligence (AI) , and Machine Learning , with applications spanning biomedicine , public health , environmental science , law , and social sciences . Her work emphasizes computational terminology , information extraction , and neurosymbolic methods , resulting in tools like TerMine and Acromine that are widely adopted in academia and industry. Education PhD in Computational Linguistics, UMIST DEA in Linguistics, Paris VII, Jussieu DEA in Literature, Paris IV, Sorbonne BA in Language and Linguistics, University of Athens Research Interests focus on scalable text mining solutions, including automatic term recognition , event extraction , emotion detection , and resource building . Her recent publications highlight applications in large language models (EmoLLMs) , misinformation analysis , occupational exposure annotation , and argument mining , reflecting a trajectory toward integrating Affective Computing and Generative AI into biomedical and social science domains. Scientific Awards IBM UIMA Innovation Award (3x) Daiwa Award Next Big Thing Prize (2018) Collaborations include leadership roles in the Alan Turing Institute , AIST Artificial Intelligence Research Center , and the OpenMinTed H2020 project . Her tools support organizations like NICE , Cochrane , and Pfizer , and she co-founded the ACL SIGBioMed community to advance biomedical NLP.

• Translation Studies
• Translation Technology
• Natural Language Processing
• +۴ مورد دیگر

Ayla Rigouts Terryn serves as Assistant Professor of Translation Studies and Translation Technology at KU Leuven Kulak within the Centre for Translation Studies. She currently heads the Translation and Technology research group, driving interdisciplinary work at the intersection of linguistics and computational methods. Her academic foundation includes a PhD from Ghent University (2021) focused on machine learning approaches to automatic terminology extraction. This doctoral work established her expertise in computational linguistics and natural language processing. Dr. Rigouts Terryn's research spans critical areas in language technology: Natural Language Processing (NLP) and Computational Linguistics Monolingual and Multilingual Automatic Term Extraction Explainable AI (XAI) for transparent language models Bilingual Lexicon Induction as a probing task for cross-lingual understanding Her work bridges theoretical linguistics with practical applications in translation technology, emphasizing machine learning techniques for terminology management. While no specific publications are detailed in the source text, her research trajectory indicates strong focus on enhancing AI interpretability in multilingual contexts. No scientific awards or honors are documented in the provided materials. Similarly, information regarding graduate student supervision or research grant acquisition remains unspecified in the available documentation. As leader of the Translation and Technology research group, she directs strategic initiatives advancing computational approaches to translation, fostering collaboration between linguists, computer scientists, and translation professionals to develop next-generation language tools.

• Computational Terminology
• Natural Language Processing
• Corpus Linguistics
• +۴ مورد دیگر

Patrick Drouin is a Professor and Department Director at the Université de Montréal , based in the Faculté des arts et des sciences and the Departement de linguistique et de traduction . His research focuses on computational terminology, corpus linguistics, and the automatic acquisition of specialized lexicons. He leads major projects like the NÉONUM initiative for monitoring Quebec French neology and the Lexique entre humains et machines team exploring human-machine lexical interactions. Teaching: He teaches advanced terminology (TRA-3455), localization workshops (TRA-6301), and directs programs in Linguistics and Translation at both undergraduate and graduate levels. Over 10 PhD and Master's students have been supervised by Drouin since 2007, focusing on topics like semantic shifts, terminological evolution, and corpus-based lexicography. Research Projects: Co-leads interdisciplinary teams funded by FRQSC and SSHRC, including studies on morphophonological variation via Twitter data, transdisciplinary vocabulary for primary education, and the historical analysis of terminology in translation studies. Key contributions include the SyllabO+ corpus and the QC-FR-Diac-V1 semantic shifts dataset. Grants: Secured over CAD 2M in funding for projects like Twitter-MPhon (2021–2025) and Lexiques nucléaires (2019–2025), emphasizing computational methods in linguistic research. Labs/Teams: Active in the Equipe SE (Lexical Studies) and collaborates with institutions like IRIC for biology-informatics interfaces. His work bridges theoretical linguistics with applied technologies for terminology management and language education.

Aleksander Smywiński-Pohlمشاهده پروفایل

استادیار

• Natural Language Processing
• Computational Linguistics
• Artificial Intelligence
• +۴ مورد دیگر

Dr. Aleksander Smywiński-Pohl is an Assistant Professor at the Institute of Computer Science , Faculty of Computer Science, AGH University of Science and Technology in Kraków, Poland. He holds a PhD in Computer Science from AGH (2015) for his thesis "Automatic Information Extraction from Polish Texts" and a parallel degree in Philosophy from Jagiellonian University. His academic career includes teaching at Jagiellonian University (2007-2016) and AGH (since 2008), where he currently instructs courses in Artificial Intelligence and Natural Language Processing. His research focuses on Natural Language Processing with specialization in Polish language technologies, formal ontologies , legal text analysis, and cognitive science. Key areas include: Machine learning for low-resource languages Legal document processing (amendments, argument retrieval) Neural models for translation and classification Semantic web technologies He has supervised over 30 student theses in NLP/ML applications and contributes to national NLP evaluations (PolEval).