جست‌وجوی استاد و پژوهشگر

Cleo Sgouropoulouمشاهده پروفایل

استاد

• E-Learning Technologies
• Learning Outcomes and Competence Modeling
• Open Educational Resources (OER)
• +۶ مورد دیگر

Cleo Sgouropoulou is a Professor at the Department of Informatics and Computer Engineering at the University of West Attica (UNIWA) and currently serves as Vice-Rector for Finance, Planning, and Development. She holds a Diploma and PhD in Electrical and Computer Engineering from NTUA. Her academic roles include Scientific Director of UNIWA's Institute of Lifelong Education and former Head of the Department of Informatics and Computer Engineering. Her research focuses on software engineering for Learning Technology and Research Information Systems, with an emphasis on standardization (e.g., CEN TC353) and European projects related to e-Learning, Open Educational Resources (OER), and digital skills frameworks. She has coordinated major initiatives like the EuroLMAI European Norm and contributed to standardization of learning outcomes and learner mobility models. Prof. Sgouropoulou has authored over 140 publications in journals like Information and Software Technology and IEEE Transactions on Learning Technologies , with over 1,400 citations. Her work bridges AI, AR/VR, and pedagogy, exploring adaptive learning systems, fuzzy logic applications, and gamified educational tools. Recent research includes AI-enhanced augmented reality systems (e.g., PARSAT AR), digital escape rooms for environmental education, and personalized learning frameworks using Bayesian and reinforcement learning approaches. She actively participates in European standardization bodies, shaping policies for digital competencies and ICT professionalism. Her contributions have been formalized into CEN standards and adopted across education sectors. She also advocates for the integration of AI ethics and human-centered design in educational technology. Her grants and projects emphasize open educational resources, digital skill frameworks, and immersive technologies in special education. She collaborates with institutions like CEN, ELOT, and the Greek Mirror Committees to advance standardization efforts and promote equitable access to lifelong learning.

Patrick Georg Groszمشاهده پروفایل

استاد

• Semantics
• Syntax-Semantics Interface
• Semantic microvariation
• +۵ مورد دیگر

Patrick Georg Grosz is a Professor of General Linguistics at the University of Oslo's Department of Linguistics and Scandinavian Studies since 2017. Previously, he held roles as an Associate Professor (2016-2017) and Assistant Professor (Wissenschaftlicher Assistent) at the University of Tübingen (2011–2016). He earned a Ph.D. in Linguistics from MIT (2011) and a Habilitation (Double Venia Legendi) in German Linguistics and General Linguistics from the University of Tübingen (2015). His research focuses on semantics, syntax-semantics interfaces, emoji semantics, and the pragmatics of discourse particles. Notable areas include the study of emoji meaning in digital communication, the evolution of gesture-based communication in primates, and the syntax-semantics of narrative structures in dance and music. Recent work emphasizes the interplay between visual and linguistic meaning, such as analyzing face emoji ambiguity, exploring shared semantics between human and chimpanzee gestures, and developing formal semantic frameworks for electronic dance music's narrative grammar. He collaborates extensively with researchers in cognitive science, musicology, and zoology. His research groups include the Language Change, Pragmatics: Theory & Experiments, and Super Linguistics initiatives at the University of Oslo.

Mathis Teucherمشاهده پروفایل

پژوهشگر

• Pragmatics
• Cognitive Linguistics
• Translation Studies
• +۳ مورد دیگر

Mathis Teucher is a doctoral student and researcher at the Heidelberg Center for Ibero-American Studies (HCIAS), specializing in pragmatic and cognitive aspects of communication. His research focuses on anaphoric reference mechanisms and discourse coherence, using experimental methods like eye-tracking. He coordinates international double degree programs in translation studies and teaches experimental research at the Institute for Translation and Interpreting. Teucher holds a DAAD-funded double master's degree from Heidelberg University and Universidad de Salamanca. His work includes guest lectureships across Latin America and Spain, emphasizing experimental pragmatics and translation studies. Education: International double master's in Specialized Translation and Cultural Mediation (Heidelberg University/Universidad de Salamanca), BA in Translation Studies (Heidelberg University). Key research areas include cognitive processing of anaphora, bilingualism, and experimental methodologies. Teaching and Projects: Leads HCIAS initiatives on translation technologies and cultural mediation programs. Supervised the DAAD-funded CS@Ibero-America_PLUS project. Guest lectures include experimental pragmatics courses at universities in Colombia, Panama, Spain, and Chile. Active in developing experimental tools for linguistic research.

Piek Vossenمشاهده پروفایل

استاد

• Computational Linguistics
• WordNets
• Natural Language Processing
• +۲ مورد دیگر

Prof. Piek Vossen is Full Professor of Computational Lexicology at Vrije Universiteit Amsterdam, heading the Computational Lexicology & Terminology Lab (CLTL). A Spinoza Laureate (2013) and Knight in the Order of the Dutch Lion (2015), his research integrates computational linguistics, WordNets, and conversational AI. He co-founded the Global WordNet Association and leads projects including 'Make Robots Talk', 'Dutch FrameNet', and the Hybrid Intelligence Centre. Key research areas: Multilingual semantic networks and ontologies Cross-lingual language modeling Conversational agents and social robots Event extraction and perspective analysis Computational analysis of discourse and argumentation His recent work focuses on toxicity analysis in online discourse, medical language models, and hybrid intelligence systems that combine human and machine capabilities.

Martin Stokhofمشاهده پروفایل

استاد

• Philosophy of Language
• Formal Semantics
• Pragmatics
• +۲ مورد دیگر

Martin Stokhof is a Full Professor in Philosophy at the Faculty of Humanities, University of Amsterdam (since 1998). Previously held positions include Full Professor at Katholieke Universiteit Nijmegen (1996-1998), Associate Professor (1988-1998), and Assistant Professor roles in philosophy of language and computational linguistics at the University of Amsterdam (1976-1998). He has published over 100 papers focusing on semantics, logic, and Wittgenstein’s philosophy, and supervised 23 PhD students and over 100 Master’s students. Founder (1991) and Scientific Director (1998-2004) of the Institute for Logic, Language and Computation (ILLC), Amsterdam. Current roles include Vice-President (since January 2017) and Domain Co-ordinator for Social Sciences and Humanities at the European Research Council (ERC); member of the ERC Scientific Council (since 2014). Administrative roles: Chair of the Humanities division of NWO (Dutch Organization for Scientific Research) and involvement in European research organizations (ESF, HERA). Research Interests include formal semantics and pragmatics of natural language, Wittgenstein’s philosophy, philosophical logic, and the intersection of logic and linguistics. His work explores dynamic approaches to semantics, theoretical foundations of linguistic structures, and methodological aspects of formal sciences. Key Article Trends : Focus on dynamic semantics (1991-2014), Wittgenstein’s influence on formal approaches (2008, 2011), interdisciplinary applications in computational linguistics (1990), and theoretical debates in semantic frameworks (1984-2011). Scientific Awards : Elected member of the Royal Dutch Academy of Sciences (KNAW), May 2006. Elected member of the Institut International de Philosophie, September 2007. Academic Leadership : Instrumental in establishing the ILLC, a leading interdisciplinary research institute. As of 2017, holds influential European-level roles at the ERC, shaping funding and strategic directions for humanities and social sciences research.

Anca-Diana Bibiriمشاهده پروفایل

پژوهشگر

• Sociolinguistics
• Prosody
• Phonetics
• +۵ مورد دیگر

Anca-Diana Bibiri is a Scientific Researcher III at the Department of Social Sciences and Humanities, Institute of Interdisciplinary Research, Alexandru Ioan Cuza University of Iași. She holds a PhD in Philology and a postdoctoral fellowship in linguistics. Her research focuses on sociolinguistic approaches to prosody, computational linguistics, and Romanian dialectology, with a strong emphasis on building digital language corpora like CoRoLa and AMPROM. She has contributed to interdisciplinary projects analyzing migration impacts, multilingual publishing dynamics, and socio-cultural variables in language use. Education: PhD in Philology, Alexandru Ioan Cuza University of Iași Postdoctoral Fellowship in Linguistics, same university Her work bridges traditional linguistics with digital tools, such as developing speech-to-text systems and entity-annotation frameworks like ERASK. Key areas include Romanian intonation patterns, migration-induced linguistic changes, and lexicographical digitalization challenges. She has led projects like CoBiLiRo (bimodal corpora platform) and collaborated on EU-funded initiatives studying migration effects in Belgium and Romania. Her articles explore intersections of language, culture, and technology, including citizen science engagement and research funding strategies. She maintains active roles in academic networks, often presenting at conferences on interdisciplinary humanities and digital linguistics.

Elizabeth Pankratzمشاهده پروفایل

مدرس

• Cognitive Science
• Linguistics
• Psychology
• +۶ مورد دیگر

Dr. Elizabeth Pankratz is a Lecturer in the Department of Psychology at the University of Edinburgh, where she teaches statistics. She is affiliated with the School of Philosophy, Psychology and Language Sciences (PPLS) and maintains strong connections with the Centre for Language Evolution. Dr. Pankratz completed her PhD at the University of Edinburgh's Centre for Language Evolution under the supervision of Prof. Jennifer Culbertson and Prof. Simon Kirby. Her doctoral research focused on language acquisition phenomena from a cognitive science perspective, culminating in her thesis "Segmentation, rule formation, and the emergence of generalisation." Her research spans cognitive science, linguistics, and psychology, with particular emphasis on how humans learn and generalize from concrete surface representations to abstract rules and patterns. Dr. Pankratz investigates language acquisition mechanisms, examining word segmentation, rule learning, and generalization processes through diverse methodological approaches including behavioral experiments, computational modeling, and corpus analysis. Dr. Pankratz's publication record reveals a cohesive research trajectory focused on cognitive mechanisms underlying language processing and acquisition. Her work explores how frequency distributions influence linguistic rule generalization, the relationship between language production and morphosyntactic learning, and the cognitive foundations of scalar inferences. She employs complementary methods to investigate language phenomena across different contexts, ages, and languages, contributing to our understanding of the cognitive architecture that supports language knowledge. Supervises undergraduate and postgraduate dissertations Mentored Sigurd Farstad Iversen (MSc Language and Cognition, 2023) Dr. Pankratz is actively engaged in research collaborations examining language register, cognitive modeling of linguistic phenomena, and the statistical properties of language processing. Her teaching focuses on statistics for psychology students, bridging methodological rigor with practical applications in cognitive science research.

Sebastian Schusterمشاهده پروفایل

مدرس

• Computational Linguistics
• Natural Language Processing (NLP)
• Large Language Models Evaluation
• +۵ مورد دیگر

Sebastian Schuster is a Lecturer in Computational Linguistics at University College London (UCL), effective January 2024. He will transition to the University of Vienna in mid-2025 to lead a WWTF-funded research group. Previously, he held postdoctoral positions at Saarland University and NYU (via the 2020 Computing Innovation Fellowship), and completed his PhD in Linguistics at Stanford University, affiliated with the ALPS Lab and Stanford NLP Group. His research focuses on evaluating large language models (LLMs), computational semantics, and pragmatics. Key themes include improving NLU systems through entity tracking analysis, understanding scope ambiguities, and modeling pragmatic inferences. Recent work explores how pretraining affects LLM capabilities and how context influences scalar implicature processing. Notable contributions include datasets like SIGA for scalar implicatures and SpreadNaLa for code generation evaluation. He has presented at ETH Zurich, Oxford, and served as Area Chair for *SEM2023's psycholinguistics track. His fellowship and invited talks reflect recognition of his interdisciplinary work bridging computational and experimental linguistics. Professional activities include contributions to Universal Dependencies projects, software tools like Open Linguistics, and collaborations on child language development. His work integrates methodologies from NLP, experimental psychology, and cognitive science to advance both theoretical and applied linguistic research.

• Answer Set Programming
• Knowledge Representation and Reasoning
• Cyber-Physical Systems
• +۳ مورد دیگر

Dr. Peter Schüller is a Professor affiliated with the Department of Knowledge-Based Systems at TU Wien (Vienna University of Technology). He holds the academic title of Privatdozent (Priv.-Doz.) and has a background in Technical Engineering (Dipl.-Ing. Dr.techn. / Bakk.techn.). His roles include academic research, consulting services for intelligent automation, and partnership with Potassco Solutions. He is based at Favoritenstrasse 11, Room HG0312, and can be contacted via peter.schueller@tuwien.ac.at or contact@peterschueller.com. Education : Master's Thesis: 'Reconstructing borders of manually torn paper sheets using integer linear programming' (2008) PhD (Dr.techn.) in Informatics Habilitation (Privatdozent) qualification Research Interests : Schüller specializes in declarative problem solving through Answer Set Programming (ASP), with focus areas including hybrid knowledge integration systems, inconsistency management, and applications in robotics, traffic optimization, and industrial automation. His work bridges theoretical advances in computational logic with practical implementations in enterprise software architecture and database systems. Projects & Grants : He has led projects funded by the Austrian Research Promotion Agency (FFG), Austrian Science Fund (FWF), and Vienna Science and Technology Fund (WWTF). Key projects include: 'Dynamic knowledge-based (re)configuration of cyber-physical systems' (2017–2020) 'Integrated Evaluation of Answer Set Programs' (2015–2018) 'Inconsistency Management for Knowledge-Integration Systems' (2009–2012) Consulting & Partnerships : Provides services in enterprise software design, database optimization, GDPR compliance, and hybrid knowledge systems. Official partner of Potassco Solutions. Collaborates on initiatives like AI4EU and HumanE-AI-Net. Labs & Teams : Active in TU Wien's Knowledge-Based Systems Group. Involved in developing the DLVHEX and Hexlite solvers.

• Natural Language Processing (NLP)
• Computational Linguistics
• Artificial Intelligence
• +۱۱ مورد دیگر

Prof. Dr. Gülşen Cebiroğlu Eryiğit is a Professor at Istanbul Technical University (ITU) in the Department of Artificial Intelligence and Data Engineering under the Faculty of Computer and Informatics. As the founder and director of the ITU Natural Language Processing Group , she leads Turkey's foremost research team in Turkish-language NLP. Her work has achieved global impact through the first software export from ITU in NLP, with 6,000+ Google Scholar citations as of 2023. Education: MSc & PhD, Computer Engineering, ITU (2002-2007) BSc, Computer Engineering, Marmara University (1995-2000) High School: Saint-Michel (French curriculum) Her research focuses on natural language processing for morphologically complex languages like Turkish, with specializations in: Dependency parsing and treebank development Multilingual transfer learning systems Abstract meaning representation Language technology infrastructure Coreference resolution in agglutinative languages Gamification of linguistic education Recent publications show active research trends in: Transforming financial document analysis with BiLSTM-CRF architectures Advancing Turkish language models through ViBERTgrid implementations Developing multilingual frameworks under EU COST Actions Creating semantic search engines for job matching platforms Optimizing automotive demand management through dialogue systems Building large language models (LLMs) for Turkish Scientific recognition includes: Siemens Excellence Award (2007) for doctoral research Above Threshold Award (TÜBİTAK, 2015) EU 7th Framework Certificate of Appreciation (2012) ITU Thank You Plaque (2017) Current leadership roles: Senior Action Editor, ACL RR Director, ITU TÖMER (Turkish Language Teaching Center) Coordinator, ITU NLP Group Co-Chair, EU UniDive COST Action WG3 Principal Investigator on 3 active projects

Abhishek Aroraمشاهده پروفایل

پژوهشگر ارشد

• Political Economy
• Development Economics
• Deep Learning
• +۳ مورد دیگر

Abhishek Arora is a Pre-Doctoral Fellow in the Department of Economics at Harvard University, working with Professor Melissa Dell on projects combining Natural Language Processing and vision techniques to analyze historical datasets. He holds a Master's in Economics from Delhi School of Economics and a Bachelor's in Management Studies from Shaheed Sukhdev College of Business Studies. His research focuses on Political Economy, Development Economics, and Deep Learning, with particular emphasis on topics like local democracy, social norms, and historical text analysis. He has collaborated with institutions including the World Bank and universities such as NYU, Northwestern, and King’s College London. His work bridges computational methods with social science research, producing tools like EfficientOCR for digitization and datasets like American Stories. Key projects include evaluating local democracy's impact in India and analyzing marriage markets through a gender lens. Abhishek has extensive experience in interdisciplinary collaboration, having worked with economists and political scientists across multiple institutions. His contributions span methodological innovations in NLP, historical data curation, and policy-relevant development studies.

Richard Bartleمشاهده پروفایل

استاد مهمان

• Virtual Worlds
• Game Design
• Player Psychology
• +۲ مورد دیگر

Richard Bartle is a Visiting Professor at the University of Essex's School of Computer Science and Electronic Engineering, renowned for co-creating the first virtual world (MUD) in 1978 and developing the influential Player Types model. His research examines virtual world design, player psychology, and game mechanics. Research explores fundamental principles of multiplayer interaction systems, player motivation frameworks, and ethical considerations in virtual environments. Current projects investigate natural language annotation through game mechanics and design patterns for games with purpose (GWAPs). Publications establish theoretical foundations for virtual world design and analyze player behavior patterns. His book Designing Virtual Worlds remains the standard reference in game design education worldwide. GDCOnline Game Legend Award (2010) Courses explore game design theory, virtual world architecture, and the sociotechnical aspects of multiplayer systems. He maintains influential writings on MMO design and development through his daily blog.

Anthony Yacovoneمشاهده پروفایل

پژوهشگر ارشد

• Psycholinguistics
• Neurolinguistics
• Child Language Acquisition
• +۳ مورد دیگر

Anthony Yacovone is a Post-doctoral Research Fellow with a joint appointment at Tufts University's Department of Psychology and Massachusetts General Hospital. He is affiliated with the NeuroCognition of Language Laboratory under the guidance of Gina Kuperberg. His research focuses on linguistic prediction, cognitive neuroscience, and computational modeling of inference, alongside investigations into syntactic processing and real-world knowledge interactions. He will assume a role as Assistant Professor in Boston University's Department of Linguistics starting July 2025. Education includes a PhD in Psychology from Harvard University (2023), where he worked with Jesse Snedeker on language acquisition and sentence processing, and a BA in Psycholinguistics from University of Massachusetts Amherst (2016), collaborating with Brian Dillon and Lyn Frazier on syntactic processing research. Key research interests span psycholinguistics, neurolinguistics, and child language acquisition. His work integrates EEG, eye-tracking, and computational methods to explore topics like form-based prediction in natural contexts, developmental shifts in lexical vs. plausibility-based processing, and code-switching effects in multilingual discourse. Publications highlight methodological innovations (e.g., web-based eye-tracking comparisons) and theoretical contributions to understanding linguistic prediction mechanisms. Current research emphasizes bridging computational models with neurophysiological evidence in language processing. No formal grants or awards are listed in the provided information. His academic trajectory includes advising roles yet to be detailed in the text.

• Responsible AI
• Software Engineering
• Machine Learning
• +۳ مورد دیگر

Mr. Boming Xia is a Research Fellow at the Responsible AI Research Centre (RAIR) and the Australian Institute for Machine Learning (AIML), University of Adelaide. He holds a position within the Faculty of Sciences, Engineering and Technology. His research focuses on advancing responsible and safe AI through a software engineering lens, particularly exploring the integration of system-level practices with machine learning approaches. His work emphasizes ethical AI development, including frameworks for risk assessment, ESG (Environmental, Social, Governance) integration, and blockchain-based accountability mechanisms. Key areas of interest include AI safety, privacy protection in generative AI, and the design of transparent software supply chains using tools like SBOM (Software Bill of Materials). Xia's contributions span empirical studies on SBOM adoption, AI system evaluation frameworks, and tools like CDCAT for cross-document entity and event coreference. His research bridges theoretical AI foundations with practical software engineering methodologies to ensure AI systems are both innovative and ethically grounded.

• Information Retrieval
• Natural Language Processing
• Dialogue Systems
• +۱۰ مورد دیگر

Prof. Dr. Udo Kruschwitz is a Full Professor of Information Science at the University of Regensburg since July 2019. Previously, he held a professorship at the School of Computer Science and Electronic Engineering, University of Essex. His research bridges Information Retrieval (IR) and Natural Language Processing (NLP), focusing on adaptive search systems, dialogue modeling, gamification for annotation, and ethical issues in search technology. Key projects: COURAGE (Volkswagen Stiftung-funded virtual companion for social media safety), SENSEI (Horizon 2020 conversational analytics), and collaborative works with industry (Signal Media, Minority Rights Group). Research themes include: IR/NLP integration Conversational systems Gamified annotation platforms (Phrase Detectives) Arabic language resources Privacy-preserving search strategies His publications span query suggestion algorithms, crowdsourcing validation techniques, and hate speech detection. He has co-organized major events like Search Solutions and GamifIR workshops, and founded the Data Science @ Regensburg meetup. Scientific awards include the 2015 InnovateUK Knowledge Transfer Partnership Project of the Year. Current teaching includes Advanced Topics in IR and Natural Language Engineering modules. Serves as Senior Academic Advisor for Signal AI and mentor for numerous doctoral candidates.