جستجوی استاد راهنمای دانشگاهی

Prof. dr. Nico Van de Weghe is a full Professor of GIScience at the University of Ghent (UGent), affiliated with the CartoGIS research unit. His work bridges computer science, social science, and natural science through geospatial information studies, focusing on enabling machines to reason spatially (GeoAI). Since 2004, he has specialized in knowledge-based AI, particularly spatiotemporal reasoning and moving object analysis, with applications in animal behavior, criminology, healthcare, mobility, and sports. Van de Weghe's research emphasizes hybrid GeoAI systems combining knowledge-driven and data-driven approaches. Keywords include GeoAI, GIScience, Spatiotemporal Analysis, Moving Objects, and Data Mining. Recent publications highlight urban road network analysis, hybrid trajectory modeling, BIM semantic enrichment, and cycling safety studies using virtual reality.

• GeoAI
• GIScience
• Spatiotemporal Analysis
• +۸ مورد دیگر

David Martens is a Professor of Data Science at the University of Antwerp , where he directs the Applied Data Mining Research Group within the Faculty of Business and Economics . He also serves as Chair of the Department of Engineering Management and Director of the Antwerp Center on Responsible AI . His academic work spans data mining , interpretable machine learning , and the societal impact of AI . PhD in Applied Economic Sciences (KU Leuven, 2008) Director, Antwerp Center on Responsible AI Chair, Department of Engineering Management Martens' research focuses on responsible AI and data ethics , with applications in finance, public policy, and behavioral analysis. His recent publications emphasize counterfactual explanations , LLM interpretability , and privacy implications in AI systems. His articles reveal trends in Explainable AI (XAI) , including narrative-driven explanations , graph neural networks , and ethical challenges like monetization risks and algorithmic bias. Keywords span Computer Science , Artificial Intelligence , and Behavioral Data . Martens is a leading voice in data science ethics , authoring the book Data Science Ethics: Concepts, Techniques, and Cautionary Tales (Oxford University Press, 2022). He combines academic rigor with industry experience, having consulted for banks, telecom firms, and startups in fraud detection and digital advertising .

• AI for Business
• Data Science
• Responsible AI
• +۵ مورد دیگر

Tim Van de Cruys is a Senior Lecturer at the Faculty of Arts, KU Leuven, serving as Head of the Centre for Computational Linguistics (CCL). He maintains significant affiliations with LECTIO (KU Leuven Institute for the Study of the Transmission of Texts, Ideas and Images), Leuven.AI (KU Leuven Institute for Artificial Intelligence), and LILI (KU Leuven Interdisciplinary Language Institute). His work bridges computational linguistics, artificial intelligence, and humanities research with practical applications across multiple disciplines. Dr. Van de Cruys specializes in computational semantics and creative language generation, with particular expertise in applying NLP techniques to historical and classical texts. His research spans multiple domains including: Natural Language Processing for ancient languages (Latin, Ancient Greek) Computational approaches to lexical and compositional semantics Large language models and their applications in humanities research Creative language generation and human-AI collaboration Named entity recognition and disambiguation in historical contexts Non-autoregressive modeling for sequential generation tasks His recent publications demonstrate a strong focus on applying cutting-edge NLP techniques to humanities challenges, particularly in processing ancient languages. He frequently employs transformer models to address named entity recognition, word sense discrimination, and semantic analysis in low-resource language contexts. His work consistently bridges formal linguistic theory with practical computational applications, creating valuable tools for digital humanities scholars. As promotor and co-promotor on numerous research projects extending through 2029, Dr. Van de Cruys supervises PhD students working at the AI-humanities intersection. His current major projects include "Living Corpora" (exploring human-AI collaboration in digital humanities), "Stochastic processes and non-autoregressive models for sequential generation," and "NIKAW" (exploring knowledge networks from classical antiquity). These projects demonstrate his commitment to advancing both theoretical understanding and practical applications of computational linguistics. He teaches various courses including Computational Linguistics, Scripting Languages, Programming for Humanities, Computational Creativity, and AI for Humanities, training students to work at this critical interdisciplinary crossroads. His leadership of the Centre for Computational Linguistics positions him at the forefront of computational linguistics research in Belgium, where he continues to expand the boundaries of what's possible at the intersection of language, computation, and humanistic inquiry.

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

Luc Sels has served as Rector of KU Leuven since August 1, 2017, and was re-elected for a second four-year term in May 2021. He is a full professor in the Faculty of Economics and Business (FEB), where he joined in 1996, became full professor in 2004, and served as Dean from 2008 to 2017. He concurrently holds an honorary professorship at Cardiff University and advisory roles at Friedrich-Alexander Universität Erlangen-Nürnberg, National University of Singapore, and Korea University. His research centers on labour market projections (employment, skill levels, regional forecasts), active labour market policies, and cooperative entrepreneurship. As Chairholder of the Randstand Chair on Employer Branding, VBO-FEB Chair on Belgian Business Champions, and CERA-Boerenbond Chair on Cooperative Entrepreneurship, he publishes in top journals including Journal of Management and Harvard Business Review. His work bridges academic research and policy impact through the Centre of Expertise in Labour Market Monitoring. Analysis of Sels' 2021-2025 publications reveals two dominant research streams: human resource management (particularly employer branding mechanics and line manager roles in training effectiveness) and cooperative enterprise dynamics (focusing on social capital in agri-food cooperatives). Methodological innovations in survival analysis for organizational research complement these themes, demonstrating interdisciplinary rigor across management, economics, and policy domains. Scientific Awards: No specific prizes, fellowships, or medals are mentioned in the source text. Sels actively supervises doctoral research, including S. Friedel's work on agri-food cooperative legitimacy, A. Billiet's study of member 'voice' mechanisms, K.G. Tamayo's analysis of line manager HRM involvement in Philippine call centers, and S. Ghielen's employer branding equity research. His current funded projects include Intercooperation (2024-2028) examining cross-cooperative legitimacy, Centre of Expertise for Labour Market Monitoring (2021-2025), and Relationships Matter (2019-2024) investigating social capital in agricultural cooperatives. He conducts research through KU Leuven's Department of Work and Organisation Studies and Leuven Economics of Education Research Centre (LEER), while directing the Centre of Expertise in Labour Market Monitoring for Flemish government policy advising. His cooperative entrepreneurship work operates through the CERA-Boerenbond Chair, integrating academic research with industry partnerships.

• Labour Market Projections
• Cooperative Entrepreneurship
• Active Labour Market Policies
• +۲ مورد دیگر

Véronique Hoste is Senior Full Professor of Computational Linguistics at Ghent University's Faculty of Arts and Philosophy, where she serves as Department Head of Translation, Interpreting and Communication and Director of the LT3 language technology research team. She also holds the position of Research Director for the Faculty of Arts and Philosophy. Her educational background includes a PhD in Computational Linguistics from the University of Antwerp (2005) focused on optimization in machine learning for coreference resolution. Key research areas encompass machine learning for natural language processing, semantic and discourse modeling, including specialized work in event detection, entity/event coreference resolution, irony detection, and emotion analysis. Hoste's publication trends reveal strong interdisciplinary focus, with recent work bridging NLP with crisis communication, digital humanities, and ethical AI. Her team develops high-quality datasets (e.g., EmoTwiCS for emotion trajectories) and collaborates extensively with commercial partners on projects like SentEMO for aspect-based sentiment analysis. Current research emphasizes multimodal emotion analysis, fuzzy rough set methods for sentiment detection, and cross-document event coreference. Elected member of the Royal Flemish Academy of Belgium for Science and the Arts (KVAB) Francqui Chair appointment by Université Libre de Bruxelles (2023-2024) Co-founded LT3 spin-off AlfaSent (2024) for customer feedback analysis Authored first Dutch-language book on NLP: "Taaltechnologie ontrafeld" She actively supervises multiple PhD students on projects including Common-sense knowledge in irony detection (Common-sense), cross-document event coreference (Encore), and empathy modeling in conversational agents (FlandersAI). Her team secures funding through interdisciplinary collaborations like NewsDNA for news recommendation and METRICS for emotion trajectory analysis. Hoste also engages in public outreach through the "AI at school" initiative and advises on language technology integration in high school curricula. The LT3 laboratory under her leadership maintains strong industry partnerships and develops practical NLP tools including EmotioNL and Automatic Term Extraction systems, while advancing core research through projects like CLARIAH-VL for data curation.

• Computational Linguistics
• Natural Language Processing
• Machine Learning
• +۷ مورد دیگر

Karel Van Acker is a full professor in the Faculty of Engineering Science at KU Leuven , leading the Sustainable Materials Processing and Recycling (SeMPeR) research group. His work focuses on integrating environmental and economic sustainability assessments, particularly for metallurgical residues and circular economy systems. Head of SeMPeR group Contact person for SeMPeR at Arenberg campus Head of Subdivision 39, Brussels Campus Research areas include: Circular Economy: Monitoring systems, stock-flow models, and business models Sustainability Assessments: Life Cycle Assessment (LCA), techno-economic analysis, carbon footprinting Resource Valorization: Steel slag mineral carbonation, rare earth reduction, biorefinery processes Key article trends: 2025 works emphasize steel slag carbonation for carbon capture, hydrogen storage technologies, and clothing sufficiency as circular economy strategies 2024 research explores car mobility circularity , AI environmental impacts , and policy integration for circular economy monitors Earlier works (2023-2020) address textile recycling , biomass to biofuels , and landfill mining using system dynamics Teaching responsibilities: Sustainable Materials Management (H00R6A) Environmental Impact Analysis (I0V86A) Material Selection & Sustainability (D0X32A) Global Challenges for Sustainable Society (H0O00A)

• Circular Economy
• Sustainability Assessments
• Material Flow Analysis
• +۵ مورد دیگر

Piet Desmet is a full professor at KU Leuven's Faculty of Arts, serving as vice rector of KU Leuven, Kulak Kortrijk Campus, and academic director of the Office of the Academic Director, Bruges Campus. He leads multiple research divisions including itec and its Language and Technology subdivision, and is a member of Leuven.AI - KU Leuven Institute for Artificial Intelligence. As general coordinator of itec and academic director of the imec smart education research program, he oversees significant research initiatives spanning multiple campuses. Desmet's research focuses on the intersection of language learning and technology, with particular expertise in Second Language Acquisition and Technology, Computer-assisted Language Learning (including AI-based chatbots), Learning Analytics, and Language Technology and Corpus Linguistics. His work explores intelligent feedback systems, linguistic complexity prediction, adaptive testing, and natural language processing applications for educational contexts. His research spans theoretical linguistic frameworks to practical educational implementations, with a strong emphasis on empirical validation of technological interventions in language learning. Analysis of Desmet's recent publications reveals a strong trajectory toward integrating artificial intelligence with language education, particularly through conversational AI and learning analytics. His work increasingly focuses on chatbot-assisted language learning, adaptive assessment systems powered by large language models, and the application of computational linguistics to educational problems. The publications demonstrate a consistent methodological approach combining theoretical linguistics with empirical educational research, often employing eye-tracking, ERP studies, and learning analytics to evaluate effectiveness. Desmet actively supervises numerous PhD students and leads multiple major research projects including Smart Education at Schools (2025-2026), Enhancing EFL Learners' Speaking Ability through Chatbot-Assisted Dynamic Assessment Powered by LLMs (2024-2028), and the Flanders Ed Tech Hub (2022-2025). His research portfolio demonstrates significant funding success across multiple national and international initiatives focused on educational technology and language learning. As head of itec (an imec research team at KU Leuven), Desmet leads a substantial research ecosystem focused on smart education technologies. The itec team collaborates extensively with Leuven.AI and the KU Leuven Educational Research Institute (LIVO), creating a multidisciplinary environment that bridges computational linguistics, educational psychology, and artificial intelligence. Recent initiatives include the 'AI in Education' online training course and the network for Edtech and Learntech in Flanders.

• Second Language Acquisition
• Computer-assisted Language Learning
• Instructional Design
• +۷ مورد دیگر

Kevin Van Geem is a full professor at Ghent University's Faculty of Engineering and Architecture, leading the Laboratory for Chemical Technology (LCT) and directing the Center of Sustainable Chemistry. His research focuses on thermochemical reaction engineering, transitioning fossil-based processes to renewable feedstocks, and integrating machine learning with chemical analysis. Director of Ghent University's pilot plants for steam cracking and chemical recycling Author of over 400 publications and founder of a spin-off company Specializes in kinetic modeling, process intensification, and sustainable chemistry His work spans chemical recycling, olefin production, and advanced analytical techniques for complex hydrocarbon mixtures. Recent articles highlight AI-driven catalysis, pyrolysis of polymers, and plasma-assisted CO2 utilization. Scientific awards include: Fulbright Research Scholar He bridges academia and industry through patented technologies and collaborative pilot-scale projects.

• Thermochemical Reaction Engineering
• Sustainable Chemistry
• Kinetic Modeling
• +۴ مورد دیگر

Miryam de Lhoneux is an Assistant Professor at the Department of Computer Science , Faculty of Engineering Science , KU Leuven . She is affiliated with interdisciplinary institutes including Leuven.AI and LILI (KU Leuven Interdisciplinary Language Institute). Active in Multilingual Natural Language Processing and Fair AI research Member of the Faculty of Engineering Science Council and Computer Science Department Council Her research focuses on neuro-symbolic methods , language adaptation , and typological diversity in NLP. Recent projects include: Neuro-Symbolic Methods for Fair Multilingual NLP (2023-2027), Graph-Based Instance Selection for Multi-Modal Data (2024-2028), and Unit of Representation in Multilingual Modeling (2025-2028). Her publications span topics including code-mixed data analysis , English bias in LLMs , and sociolinguistically informed interpretability . She teaches courses in Advanced Natural Language Processing and Language Engineering Applications .

• Natural Language Processing
• Multilingual Language Modeling
• Neuro-Symbolic AI
• +۴ مورد دیگر

Orphée De Clercq is an Assistant Professor at Ghent University, specializing in language technology for educational applications. Her research focuses on leveraging Natural Language Processing (NLP) and Machine Learning (ML) to enhance computer-assisted language learning , readability prediction , and automated writing evaluation . She also explores sentiment analysis , emotion detection , and event coreference resolution in Dutch and multilingual contexts. Education : PhD in 2015 with groundbreaking work in readability prediction and fine-grained sentiment analysis for Dutch. Research Trends in her recent publications emphasize: Readability across domains and languages Emotion Detection using transformers and affect lexica Event Coreference in cross-document news Automated Writing Evaluation through NLP Implicit Sentiment Analysis in user-generated content Cross-Lingual Transfer with multilingual datasets She co-supervises four PhD students and contributes to interdisciplinary projects like Steunpunt Toetsen , SentEMO , and NewsDNA . Her teaching includes courses on digital communication and Computer-Assisted Language Learning .

• Natural Language Processing
• Machine Learning
• Readability Prediction
• +۷ مورد دیگر

Christoph De Spiegeleer serves as an unpaid guest professor at the Vrije Universiteit Brussel (Free University of Brussels), affiliated with the History, Archaeology, Arts, Philosophy and Ethics faculty. His academic work centers on the Secular Studies Association Brussels, where he has been active from 2011 to 2024. His research interests primarily focus on secularization processes, particularly examining the historical development of secular thought and practices in Belgium. His work spans several interconnected fields including funeral practices, 19th century Belgian history, freethinkers movements, and the evolution of atheism in European contexts. A significant portion of his research analyzes how secular alternatives to religious funeral practices developed in 19th century Belgium, exploring the cultural, political and social dimensions of this transformation. De Spiegeleer's publications reveal a strong emphasis on the intersection of religion, death culture, and political identity in Belgian history. His recent work has examined topics such as the moral dimensions of disbelief among Brussels freethinkers (1854-1870), secular burial practices, and the historical context of the Peasants' War. His research often employs transnational perspectives, as seen in his work on Charles Potvin and the Risorgimento. Among his notable recognitions are the De Bock-Doehard Prize for best historical dissertation at the Vrije Universiteit Brussel (2009-2010) and the Emile Zola dissertation award (third place, 2012). De Spiegeleer has been actively involved in academic collaborations, including the Workshop on Secularism and Biography (March 2024) and the conference 'THE NON-RELIGIOUS AND THE STATE' (October 2022), where he served as an organizer. His ORCID profile (0000-0002-4927-8607) documents his extensive scholarly output across multiple formats including journal articles, book chapters, books, and conference papers.

• Secularization
• Belgian History
• 19th Century European History
• +۵ مورد دیگر

Els Lefever is an Associate Professor at Ghent University, where she works with the LT3 (Language and Translation Technology) research team. Her position focuses on computational linguistics and natural language processing research, with strong ties to both theoretical and applied aspects of language technology. Dr. Lefever earned her PhD in Computer Science from Ghent University in 2012 with her dissertation titled "ParaSense: Parallel Corpora for Word Sense Disambiguation." Her academic journey began as a computational linguist at the R&D department of Lernout & Hauspie Speech Products before transitioning to academia. Els Lefever's research spans multiple areas within computational linguistics with particular expertise in multilingual natural language processing. Her work focuses on computational semantics, cross-lingual word sense disambiguation, and multilingual terminology extraction. Recent research directions include automatic detection of irony in online text, argumentation mining in social media, sentiment analysis of financial news, language modeling for low-resourced languages, and computational approaches to Byzantine Greek epigrams. Her research demonstrates a consistent pattern of bridging theoretical computational linguistics with practical applications across diverse language domains and historical periods. Professor Lefever actively supervises PhD research on several cutting-edge topics including terminology extraction from comparable corpora, event extraction and sentiment mining of financial news, language modeling for low-resourced languages, argumentation mining in social media, and the automatic detection of links between Byzantine Greek epigrams. Her supervision portfolio demonstrates her commitment to advancing multiple frontiers of computational linguistics simultaneously. As an educator, Professor Lefever teaches courses in Terminology and Translation Technology, Language Technology, Localisation, Digital Text Analysis, and Digital Humanities. Her teaching reflects her research interests, providing students with both theoretical foundations and practical skills in language technology applications. The LT3 research group, where Professor Lefever is a key member, maintains strong connections with both academic and industry partners. The group has participated in numerous international conferences and shared tasks including SemEval competitions across multiple years, demonstrating consistent contributions to benchmark datasets and evaluation methodologies in natural language processing.

• Natural Language Processing
• Computational Linguistics
• Machine Learning
• +۵ مورد دیگر

Chris Cornelis is a full-time Professor in fuzziness and uncertainty modelling at Ghent University's Department of Applied Mathematics, Computer Science and Statistics. His research integrates fuzzy logic and rough set theory to advance machine learning methodologies for complex data analysis. Education: M.Sc. in Computer Science, Ghent University (2000) Ph.D. in Computer Science, Ghent University (2004) Research Focus: Cornelis pioneers fuzzy-rough hybrid systems for uncertainty handling in machine learning. His work spans theoretical foundations (e.g., implication operators, granular approximations) and practical applications including emotion detection, medical diagnosis, and imbalanced data classification. Key innovations include FRNN-OWA classifiers and polar encoding for missing values, demonstrating exceptional versatility in bridging abstract mathematics with real-world AI challenges. Publication Trends: Recent work (2023-2025) reveals intensified exploration of topological data analysis (Mapper-based rough sets), advanced granular computing (disjoint/adjacent fuzzy granules), and ethical AI ("No Imputation Without Representation"). His research shows consistent progression from foundational fuzzy-rough theory toward multi-disciplinary applications while maintaining mathematical rigor, particularly in Choquet integration and quantifier-based frameworks. Scientific Awards: No specific awards were documented in the provided sources. Research Support: Cornelis has secured competitive funding including FWO postdoctoral mandates, a Ramón y Cajal contract at the University of Granada, and an FWO Odysseus Type II project at Ghent University. These grants enabled foundational work in fuzzy-rough set theory and its applications to complex data problems. Research Unit: He leads research within Ghent University's Computational Web Intelligence (CWI) unit, focusing on intelligent data analysis systems that leverage fuzzy-rough methodologies for web-scale information processing.

• Machine Learning
• Fuzzy Sets
• Rough Sets
• +۳ مورد دیگر

Mark Depauw is a Professor at the Faculty of Arts , KU Leuven. He leads the Research Group Antiquity, Leuven and is deeply involved in digital humanities initiatives, particularly through the Trismegistos project and its extensions like Trismegistos+ and STUDIUM.AI . His work bridges classical studies with computational methods. Research Focus: Quantitative analysis of classical text reception in early modern Europe Network analysis of ancient literary and social connections Development of digital infrastructures (GLAUx Treebank, Trismegistos) for ancient textual studies Application of transformer models and named entity recognition to Greek and Latin texts Membership & Collaborations: Member of the Faculty Council of Arts Part of KU Leuven Institute for Digital Society (DigiSoc) Core contributor to LECTIO for textual transmission studies Collaborator on international projects like CLARIAH-VL+ and NIKAW Teaching: He contributes to courses in historical data management, Greek papyrology, and digital research methods. His pedagogical approach integrates computational tools with classical scholarship.

• Classics
• Ancient History
• Papyrology
• +۵ مورد دیگر

Prof. Estefanía Serral Asensio is an Associate Professor at the Faculty of Economics and Business (FEB) at KU Leuven , with a primary affiliation to the Information Systems Engineering Research Group (LIRIS) in Brussels. She holds a highly international and interdisciplinary academic profile, having previously served as an Assistant Professor at Eindhoven University of Technology (2018), led the Semantic Knowledge Representation and Integration research group at the Technical University of Vienna (2012–2014), and contributed to the ProS Research Center at the Technical University of Valencia (until 2012). PhD in Computer Science (2011) Master in Software Engineering, Formal Methods, and Information Systems (2008) 5-year Bachelor in Computer Science (2006) Her research focuses on Internet of Things (IoT) , Business Process Management , and context-adaptive systems , with methodological expertise in Model-Driven Development , Conceptual Modeling , and ubiquitous systems . Key projects include Novel Process Mining Techniques for Discovering IoT-enhanced Business Processes (2022–2025), Novel Sustainability-Driven IoT Prescriptive Analytics for Improving Irrigation Practices in Fruit Trees (2021–2024), and foundational work on Runtime Evolution of IoT Processes (2018–2020). Her publications span top-tier venues like CAiSE , ER , SOSYM , and Internet of Things Journal . She teaches courses in ICT Strategy and Architecture , ICT Management , and Research Methodologies in Business Information Systems Engineering , contributing to academic programs at KU Leuven.

• Internet of Things
• Business Process Management
• Model-Driven Development
• +۷ مورد دیگر