جست‌وجوی استاد و پژوهشگر

• Information Retrieval
• Digital Libraries
• Informetrics
• +۵ مورد دیگر

Philipp Mayr-Schlegel is a Professor at the University of Göttingen’s Institute of Computer Science, leading the team 'Information & Data Retrieval' at GESIS - Leibniz-Institute for the Social Sciences. His research focuses on interactive information retrieval systems, scholarly recommendation mechanisms, and the integration of bibliometric methods with digital library technologies. University of Göttingen - Institute of Computer Science GESIS - Leibniz-Institute for the Social Sciences His work spans information retrieval , digital libraries , and applied informetrics , with particular emphasis on: Interactive search systems Non-textual ranking algorithms Scholarly document processing Knowledge representation Semantic search technologies User behavior analysis Recent research outputs (2025) include studies on LLMs for scholarly search, bibliometric reproducibility tools, scientific uncertainty annotation, and preprint adoption disparities. He has published extensively in Scientometrics , International Journal on Digital Libraries , and top conference proceedings like ACL and ECIR . As organizer of the International Workshop on Bibliometric-enhanced Information Retrieval (BIR) and Scholarly Document Processing (SDP) series, he has shaped academic discourse through editorial roles at ISSI , JCDL , and SocInfo conferences. His projects have attracted significant national and European funding.

• Theoretical Computer Science
• Mathematical Logic
• Structured Programming
• +۷ مورد دیگر

Siddharth Bhaskar is an Assistant Professor in the Department of Mathematics and Computer Science at the University of Southern Denmark. His research lies at the intersection of theoretical computer science and mathematical logic, with a focus on programming language foundations and formal structures. His research interests include structured programming, imperative languages, graph traversal algorithms, and the application of category theory (particularly functors) to computation. These areas reflect a deep engagement with the mathematical underpinnings of programming and algorithmic processes. The two recent publications show a consistent trend in formalizing programming concepts through mathematical structures—particularly using universal constructions from category theory and extending structured programming into transfinite domains. This indicates a research trajectory grounded in computability, logic, and the semantics of programming languages. No scientific awards mentioned in the provided text. Siddharth Bhaskar has no listed advisees or grant information in the available data. However, his peer-reviewed publications in high-quality conference proceedings (CiE and MFCS) suggest active research supervision and potential involvement in collaborative projects, though specific details are not disclosed. There is no mention of specific laboratories, research groups, or teams in the provided text. However, his affiliation with the Department of Mathematics and Computer Science and his research profile suggest potential collaboration within formal methods or logic research circles at the University of Southern Denmark.

• Ontology Engineering
• Knowledge Representation
• Natural Language Processing
• +۴ مورد دیگر

Dr. C. Maria Keet is a Professor in the Department of Computer Science at the University of Cape Town, South Africa. With a PhD from the Free University of Bozen-Bolzano (2008), she has established herself as a leading researcher in ontology engineering and multilingual natural language processing, particularly for African languages. Her research interests span Ontology Engineering , Knowledge Representation , Natural Language Processing for African languages (especially isiZulu), Conceptual Data Modeling , and Temporal Data Modeling . She has developed significant frameworks for ontology modularization, competency questions, and multilingual knowledge representation. Her work bridges theoretical computer science with practical applications for linguistic diversity in Africa, addressing the critical need for technology that serves low-resourced languages. Her recent publications (2023-2025) reveal a strong focus on advancing ontology engineering methodologies, improving multilingual language processing capabilities, and developing tools for temporal data modeling. She has pioneered approaches for representing African languages in computational systems, with particular attention to noun classification, verb conjugation, and part-whole relations in Bantu languages. Dr. Keet has made substantial contributions to educational resources in her field, including her 2023 book The What and How of Modelling Information and Knowledge - From Mind Maps to Ontologies , which serves as a comprehensive guide to knowledge representation techniques. She actively supervises graduate students and has developed in-house tools specifically for ontology engineering education, demonstrating her commitment to advancing both research and teaching in her field.

Gonzalo Navarroمشاهده پروفایل

استاد

• Algorithms
• Data Structures
• Compressed Data Structures
• +۳ مورد دیگر

Gonzalo Navarro is a Full Professor at the Department of Computer Science (DCC) , within the Faculty of Physical and Mathematical Sciences at the University of Chile . His academic roles include coordinating the PhD Program , serving as Research Coordinator , and being a member of the Department Council . Co-created the Pizza&Chili site for compressed text indexes Co-authored two books: Compact Data Structures and Flexible Pattern Matching in Strings Research Interests: He focuses on algorithm design , compressed data structures , text/graph databases , and information retrieval . His work bridges theoretical and practical efficiency in problems like approximate pattern matching, regular expression searching, and dynamic data structure optimization. Recent Publications Trends: His 2025-2024 works emphasize space-time optimal data structures , graph database joins , trajectory compression , and regular expression indexing , often combining algorithmic theory with real-world implementation benchmarks. Scientific Awards: 7 Best Paper Awards in conferences 4 Google Research Awards Highest Cited Paper Award (Elsevier) Scopus Chile Award ACM Fellow (2022) Advising: He has advised 8 postdocs, 22 PhD students, 17 MSc students, and 29 undergraduate theses. His Algorithmic Wednesdays Group fosters collaborative research in algorithms. Labs & Projects: He participates in the Milennium Institute for Foundational Research on Data (IMFD) and the Basal Center for Biotechnology and Bioengineering (CeBiB) , advancing compressed data structures for biological and web-scale applications.

• Historical Sociolinguistics
• Regional Variation in English Dialects
• Dialect Attrition
• +۶ مورد دیگر

Esther Asprey is a Senior Lecturer in English Language and Linguistics at the School of Social Science and Humanities, University of Wolverhampton. Her expertise lies in historical sociolinguistics, regional variation across the British Isles, and linguistics applications beyond academia. She has published extensively on Black Country dialect and is currently documenting Shropshire dialects and tracking lexical attrition via community-driven open-source projects. MA in English Language and German (University of Edinburgh) MA in English Language and World Englishes (University of Leeds) PhD on Black Country English (University of Leeds) Postgraduate Certificate in Professional Practice (Aston University) Her research explores dialect change during industrialization, language ideologies, and women’s roles in mining communities. Recent articles focus on negation strategies, sensory vocabulary, and dialect documentation. Awards include Fellowship of the Higher Education Academy. She has collaborated with Walsall Archives and Ironbridge’s Museum of the Gorge to digitize oral histories and supervise two Wolverhampton doctoral students.

• Natural Language Processing
• Automatic Text Summarization
• Sentence Generation
• +۵ مورد دیگر

Juan-Manuel Torres Moreno is an Associate Professor (Maître de Conférences HDR HC) at the University of Avignon (UAPV), where he conducts research in Natural Language Processing at the Laboratoire Informatique d'Avignon (LIA). His academic position includes the HDR (Habilitation à Diriger des Recherches), a post-doctoral qualification in France that enables supervision of PhD students. His primary research interests focus on Natural Language Processing, with particular emphasis on automatic text summarization, sentence generation, and phrase compression algorithms. His work spans both theoretical and applied aspects of NLP, incorporating machine learning techniques and artificial intelligence approaches. His research has significant applications in multilingual processing, text mining, and information extraction systems. Torres Moreno's publication record demonstrates a consistent trajectory in advancing text summarization techniques, with recent work exploring cross-lingual approaches, multimedia content processing, and deep learning applications. His research often bridges the gap between theoretical linguistic concepts and practical implementation, with publications spanning from fundamental NLP algorithms to applied systems for video summarization, speech processing, and multilingual document analysis. He actively collaborates with researchers across multiple institutions including École Polytechnique de Montréal (with 50 joint publications), Laboratoire Informatique d'Avignon (83 publications), and Universidad Nacional Autónoma de México. His work appears in reputable journals such as Computer Speech and Language, Data and Knowledge Engineering, and Pattern Recognition Letters. Within the Laboratoire Informatique d'Avignon, Torres Moreno contributes to the Language Processing research theme, working with colleagues on projects related to multilingual information access, opinion mining, and text analysis. His research group has participated in several evaluation campaigns including DEFT (Défi Fouille de Textes) challenges, focusing on information retrieval and sentiment analysis tasks.

• Artificial Intelligence
• Legal Informatics
• Information Retrieval
• +۵ مورد دیگر

Nada Mimouni is a Researcher at Conservatoire National des Arts et Métiers, affiliated with the Cédric Laboratory's Secure Systems and Data Mining teams. She has authored 15+ peer-reviewed publications across 2012–2025, focusing on knowledge graphs, legal informatics, and cybersecurity. Her Contextual cybersecurity Semantic knowledge representation Legal information systems Ontology engineering Medical system protection Policy analysis research spans interdisciplinary applications including EU regulatory frameworks and healthcare infrastructure security. Recent publications demonstrate expertise in contextual knowledge graphs, analogical reasoning, and cyber-physical incident management. Notable recognition includes the Most Inspiring Managerial Implications Award (2019).

Dariusz Królمشاهده پروفایل

استاد

• Knowledge Engineering
• Multi-agent Systems
• Data Quality
• +۵ مورد دیگر

Dariusz Król is a Professor at the Department of Applied Computer Science, Faculty of Computer Science and Telecommunications at Wrocław University of Science and Technology. He serves as Vice-dean for general matters and Head of the Knowledge Engineering Lab. With a strong background in technical and engineering sciences, his academic career spans over two decades of teaching and research in computer science and telecommunications. Professor Król's educational background, though not explicitly detailed in the provided texts, is evidenced by his habilitation (dr hab. inż.) and professorship at one of Poland's leading technical universities. His extensive experience is reflected in his long-standing teaching career and research leadership. Professor Król's research interests focus on knowledge engineering, multi-agent systems, data quality, and intelligent production. His scholarly output shows a progression from foundational work in multi-agent systems to contemporary applications of deep learning in industrial contexts. Recent publications demonstrate increasing emphasis on practical applications of data quality assessment in production environments, with strong connections to Industry 4.0 and intelligent manufacturing concepts. His work consistently bridges theoretical foundations with real-world industrial applications where data quality and intelligent systems play crucial roles. His scholarly impact is evidenced by his edited books ranking among Springer's top downloaded publications, with two titles placing in the top 25% most downloaded books in 2018. His editorial leadership extends to serving as editor for Computational Intelligence (Wiley-Blackwell) since 2008 and International Journal of Distributed Systems and Technologies since 2010. Book 'Advanced Topics in Intelligent Information and Database Systems' among top 25% most downloaded Springer books in 2018 (31,481 downloads) Book 'Recent Developments in Intelligent Information and Database Systems' among top 25% most downloaded Springer books in 2018 (24,896 downloads) Book 'Propagation Phenomena in Real World Networks' among top 50% most downloaded Springer books in 2015-2016 Professor Król has supervised over 50 Master's and Engineering theses across diverse topics in computer science. He teaches courses ranging from foundational programming to advanced topics in knowledge engineering, maintaining an active teaching schedule for over 18 academic years. He leads the KNJavaTech scientific circle, which has provided research opportunities for students since 2005. His international collaborations include invited seminars at prestigious institutions worldwide, demonstrating global recognition of his expertise in knowledge engineering and intelligent systems.

• Natural Language Processing
• Machine Learning
• Word Sense Disambiguation
• +۵ مورد دیگر

Hiroyuki Niiro is a Professor in the Department of Information Engineering at Ibaraki University's College of Engineering, where he has served since joining as an Assistant in 1993, becoming Lecturer in 1997, Assistant Professor in 2001, and Professor in 2015. Born in Nagasaki in August 1961, he graduated from Tokyo Institute of Technology's Department of Information Science in 1985 and earned his Doctorate in Engineering from the same institution in 1997. His research focuses on Natural Language Processing using machine learning and statistics , with additional interests in image and voice pattern recognition and data mining. His work has evolved from traditional NLP techniques to contemporary transformer-based approaches, particularly specializing in Japanese language processing, word sense disambiguation, and domain adaptation methods. Niiro's recent publications (2021-2025) demonstrate his shift toward large language models, with research spanning BERT adaptations, data augmentation techniques, multimodal learning, and Japanese-specific NLP challenges. His work shows a consistent trajectory from foundational NLP research to current state-of-the-art language modeling approaches. He currently supervises graduate students including Yang Lei (D2) and Yu Onodera (M2) in his laboratory. Niiro has authored numerous books including Fine-tuning of LLM and RAG (2024), Introduction to Natural Language Processing Starting with Document Classification (2022), and multiple deep learning programming guides. His laboratory maintains active research in natural language processing, with members participating in major conferences including the Annual Conference of the Association for Natural Language Processing. Niiro has also contributed to educational resources including statistical examination preparation materials and RSS technology introductions.

Mehmet Çiçekمشاهده پروفایل

استاد

• Turkish Language Education
• Linguistics
• Semiotics
• +۴ مورد دیگر

Mehmet Çiçek is a Professor at Gaziantep University's Faculty of Education in the Department of Turkish Language Education. He holds a doctorate in Linguistics from Université de Reims Champagne-Ardenne (France) and has served in various academic and administrative roles since 1992. Doctorate: Linguistics, Université de Reims Champagne-Ardenne (1995-1999) Master's: Linguistics, Université de Reims Champagne-Ardenne (1993-1995) Licence: Atatürk University, Turkey (1987-1991) His research focuses on Turkish language education, semiotics, discourse analysis, and cross-linguistic studies. Recent work examines textual analysis, cultural representation in language learning, and pedagogical methodologies. His publications span Turkish language structure, semiotic systems, and educational applications. Articles include analyses of adjective placement, plural/possessive morphology, and discourse in literary and visual contexts. Prof. Çiçek has supervised multiple graduate theses on Turkish pedagogy, cultural transfer in language teaching, and discourse analysis. He has held leadership roles including Faculty Dean and Department Chair at Gaziantep University. He contributes to academic governance as a board member and serves on examination juries for professorship and doctoral applications.

Sabine Schulte im Waldeمشاهده پروفایل

استاد

• Computational Linguistics
• Natural Language Processing
• Germanic Linguistics
• +۳ مورد دیگر

Sabine Schulte im Walde is an Apl. Prof. (Adjunct Professor) at the Institute for Natural Language Processing (IMS) , University of Stuttgart. Her research bridges computational linguistics and cognitive semantics, focusing on noun compounds, semantic change, and multimodal representations. Key research areas: semantic drift, compositionality, German particle verbs Instrumental in creating datasets for semantic change detection (DWUGs, DURel) Recent work explores BERT's limitations in compound semantics and cross-lingual metaphor detection She contributes to major European NLP initiatives, with publications in top venues like ACL. The IMS group specializes in language-technology intersections, managing 6 professorships, 50+ researchers, and 200+ students in NLP programs.

Francesca Fallucchiمشاهده پروفایل

دانشیار

• Computer Science
• Information Science
• Semantic Web
• +۷ مورد دیگر

Francesca Fallucchi is an Associate Professor at Guglielmo Marconi University in Rome since 2008 and an information scientist at Georg-Eckert-Institut (GEI) since July 2017, working in the Human-Centered Technologies for Educational Media department. Her research focuses on the intersection of computer science and humanities, with particular emphasis on knowledge organization , information retrieval , semantic technologies , and big data management applied to educational media and cultural heritage. Her work bridges theoretical computer science with practical applications in digital humanities. Analysis of her recent publications (2021-2024) reveals a research trajectory spanning multiple domains: from foundational work in semantic web and NLP to emerging applications in metaverse technologies, blockchain for energy monitoring, and explainable AI for healthcare. Her work consistently demonstrates interdisciplinary approaches combining computer science with domain-specific challenges. Dr. Fallucchi has been actively involved in academic service, including organizing the 17th International Conference on Metadata and Semantics Research (MTSR 2023) and serving as editor for Computers trade magazine since 2021. Her professional activities include significant project leadership as Deputy Project Manager for Edumeres Toolbox and contributions to numerous research projects including GLOTREC, GEI-Digital, PalTex, DemoS, PVE-E, and WorldViews.

Mohammad Aliمشاهده پروفایل

استادیار

• Computational Journalism
• Strategic Communication
• Trustworthy Artificial Intelligence
• +۵ مورد دیگر

Mohammad Ali is an Assistant Professor in the Department of Communication at the University of North Dakota. He holds dual PhDs in Information Studies from the University of Maryland, College Park, and Mass Communications from Syracuse University's S.I. Newhouse School of Public Communications. His research focuses on computational journalism, strategic communication, and trustworthy artificial intelligence with applications in natural language processing and media studies. Key research areas include: Computational Framing Analysis Fake News Detection Crisis Communication Visual Media Analysis Social Media Dynamics Recent publications demonstrate expertise in algorithmic approaches to media bias detection, strategic communication frameworks, and cross-cultural social media analysis. His work bridges technical NLP methods with practical communication theory applications. Collaborations span institutions including University of Maryland, Syracuse University, and Go Culture. Current projects involve large language models for misinformation identification and extended situational crisis communication theory incorporating visual elements.

Måns Magnussonمشاهده پروفایل

دانشیار

• Bayesian Statistics
• Probabilistic Machine Learning
• Statistical Inference from Textual Data
• +۴ مورد دیگر

Måns Magnusson is an Associate Professor at the Department of Statistics, Uppsala University, with affiliations at the Institute for Analytical Sociology (Linköping University) and the Institute for Future Studies. His work bridges Bayesian statistics, probabilistic machine learning, and textual analysis, focusing on model evaluation, diagnostics, and inference algorithms. He contributes to computational social science and digital humanities through text-as-data methods. Research Themes: Bayesian inference, probabilistic machine learning, statistical inference from textual data Key Applications: Sociology, political science, law, education statistics, public health Current Projects: Improving probabilistic programming generalizability (Swedish Research Council grant), SWERIK research infrastructure (Riksbankens jubileumsfond) His recent publications emphasize text mining, model comparison, and legal data challenges. He has developed tools for national ID number validation, hate crime estimation, and parliamentary corpus construction. Notable awards include the Cramér Prize (2018), Statistician of the Year (2023), and membership in the Swedish Young Academy (2023) and ELLIS (2024). Scientific Contributions: Botten Ada Bayesian election model, 'loo' package for cross-validation Collaborative Work: AI4Research sabbatical (2024), Riksbankens jubileumsfond funding Industry Background: Statistician roles at Swedish Agency for Education, Crime Prevention, and Public Health

Daniel Braunمشاهده پروفایل

پژوهشگر

• Artificial Intelligence
• Natural Language Processing
• Machine Learning
• +۷ مورد دیگر

Daniel Braun is a Researcher at the Digital Society Institute , affiliated with Technical University of Munich . His work bridges Artificial Intelligence , Natural Language Processing , and LegalTech , focusing on automated legal assessment of contracts, ethical dimensions of AI, and consumer protection in the digital era. Education: Bachelor in Artificial Intelligence at Saarland University PhD in Automated Semantic Analysis, Legal Assessment, and Summarization of Standard Form Contracts at Technical University of Munich Master in Creating Textual Driver Feedback from Telemetric Data at University of Aberdeen Research Interests revolve around applying NLP to legal and engineering domains. Key areas include machine learning for contract analysis , ethical AI frameworks , and consumer protection through automated systems . His recent work explores adversarial attacks on text detectors, lexical alignment in chatbots, and robustness in generative AI detection. Publications (2024-2025) highlight advancements in German consumer contract analysis , disagreement handling in legal datasets , and regulatory debates around AI . Notable outputs include the AGB-DE corpus and studies on black-box neural text detectors . Technical Expertise spans data mining , process mining , and domain-specific NLP . He has contributed to smart contract analysis , conversational AI , and language models for engineering and legal contexts .