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Luis Emilio Bruni is an Associate Professor at Aalborg University’s Department of Architecture, Design and Media Technology, within The Technical Faculty of IT and Design. He leads the Media Cognition and Interactive Systems (MeCIS) research group and coordinates the Master of Science in Medialogy. Bruni is also the founder and director of the Augmented Cognition Lab, focusing on perception, cognition, and immersive technologies. His academic roles include PI on multiple interdisciplinary projects and board memberships in international associations like the Nordic Association for Semiotic Studies (2011–2017) and the International Society for Biosemiotic Studies (founding member, 2005). Academically, Bruni holds a Ph.D. in Molecular Biology and Theory of Science (University of Copenhagen), M.Sc. in International and Global Relations (Universidad Central de Venezuela), and B.Sc. in Environmental Engineering (Pennsylvania State University). His research spans narrative cognition, extended reality, biosemiotics, and the interplay between technology, cognition, and culture. He has conducted projects on neurocinematic analysis, interactive storytelling, and the psychological impact of digital media. Key research contributions include studies on EEG responses to branded advertising, functional connectivity in psychiatric disorders, and the role of narrative in immersive technologies. Bruni’s work bridges cognitive science, computer science, and semiotics, with applications in healthcare (e.g., pediatric counseling tools) and cultural engagement (e.g., citizen curation systems). Over 80+ publications and active participation in conferences and media discussions highlight his interdisciplinary impact.

• Narrative Cognition
• Extended Reality
• Cognitive Processes
• +6 more

Rob van der Goot is an Associate Professor at the IT University of Copenhagen , specializing in robustness in natural language processing (NLP). His work focuses on non-standard language varieties, low-resource languages, and scenarios with limited training data, particularly in syntactic tasks. He is involved in projects like MaChAmp and MoNoise , which address multi-task learning and lexical normalization. Supervises PhD student Arzu Burcu Güven and mentors postdoc Elisa Bassignana Member of the HPC committee at ITU and the AI Pioneer Center Active in research collaborations including the COST Action Multi3Generation His research has earned accolades, including a Best Paper Award at WNUT 2022, an Outstanding Paper Award at EACL2021, and the Most Reviews Award at NAACL 2019. He frequently presents at international venues, such as LMU, DeiC Konference, and the University of Helsinki. His recent publications explore cross-domain dialogue act classification, code-switched lexical normalization, and multi-task learning frameworks. His work has been featured in media outlets like Omrop Fryslan and Linear Digressions. 2022 : Best Paper Award for Increasing Robustness for Cross-domain Dialogue Act Classification on Social Media Data (WNUT) 2021 : Outstanding Paper Award for MaChAmp (EACL) 2019 : Most Reviews Award (NAACL) As part of the HPC committee and DeIC Science Forum, he contributes to computational infrastructure and data management initiatives. His supervision history includes advising Anders Giovanni Møller (shared first place in WNUT 2021 shared task) and collaborations with researchers like Barbara Plank and Malvina Nissim.

• Natural Language Processing
• Robustness in NLP
• Low-Resource Languages
• +7 more

Naja Blytmann Trondhjem serves as Associate Professor in the Department of Cross-Cultural and Regional Studies at the University of Copenhagen's Faculty of Humanities, concurrently leading the Language Research Center at the University of Greenland. Her research bridges linguistic theory with practical applications in Greenlandic language preservation and education through collaborations with Ilisimatusarfik, National Museum of Greenland, and Danish healthcare institutions. Her academic credentials include: Ph.D. in West Greenlandic Language (2008) Master in West Greenlandic Language with Linguistics (2000) Physiotherapy qualification (1984) Trondhjem's research centers on Greenlandic syntax, morphology, and morphophonology, examining syntactic constructions, suffix usage in word formation, and phonological changes during morpheme attachment. Her comparative studies span Greenlandic dialects and other Inuit languages, addressing language evolution and structural variations with emphasis on derivational/inflectional affixes and sentence construction differences. Analysis of her publications reveals sustained focus on aspectual phenomena in West Greenlandic—including verbal aspect, distributive/collective markers, and habitual constructions—alongside investigations into emotion expression, valency systems, and language education challenges. This work demonstrates interdisciplinary integration of linguistic theory with cognitive science and healthcare applications. Dr. Trondhjem leads three major collaborative initiatives: 'Last call - Greenlandic dialects as linguistic heritage' documenting dialectal diversity; 'Teaching in Greenlandic at primary schools' addressing educational barriers; and 'Grammar and agrammatism in Greenlandic' studying aphasia patterns in collaboration with Danish and Greenlandic hospitals. She actively participates in expert committees regarding Greenlandic affairs in Denmark, organizes Greenlandic grammar workshops, and contributes to media discussions on language policy, dialect preservation, and educational challenges facing Greenlandic speakers.

• Greenlandic Language
• Inuit Languages
• Syntax
• +5 more

Daniel Hardt serves as Associate Professor in the Department of Management, Society and Communication at Copenhagen Business School. His interdisciplinary research bridges computational linguistics, artificial intelligence, and social analysis, with particular focus on natural language processing applications and theoretical linguistic phenomena. His primary research domains include Computational Linguistics (specializing in ellipsis resolution and sluicing phenomena), Natural Language Processing (developing methods for psychographic classification and sentiment analysis), and Artificial Intelligence (examining large language model capabilities and limitations). Recent work analyzes travel behavior during crises, gender effects in evaluations, and GDPR policy comprehension through NLP techniques. His publications span top venues including Linguistic Inquiry , Tourism Management , and ACL proceedings. Hardt actively engages with practical business applications through 27 media contributions discussing AI implementation, ChatGPT transparency, and data-driven leadership strategies. His academic service includes organizing events like the 2019 "Fake News" conference at CBS and presenting at international venues including JSAI 2024. With 28 supervised academic works documented, he maintains substantial mentoring activity while contributing to public discourse on digital transformation challenges.

• Computational Linguistics
• Natural Language Processing
• Artificial Intelligence
• +4 more

Peter Sestoft is a Professor at the IT University of Copenhagen (ITU), leading the Computer Science Department since 2017. His primary roles include academic leadership, research in programming languages and software engineering, and teaching. He holds a PhD in Computer Science from the University of Copenhagen (1991) and has held academic positions at institutions like the Royal Veterinary and Agricultural University and the Technical University of Denmark before joining ITU in 1999. His research focuses on programming languages, functional and managed object-oriented languages, parallel programming, compilers, and spreadsheet implementation technologies. He has developed influential tools like the C5 Generic Collection Library for C# and Moscow ML, a Standard ML implementation. His work on Funcalc and Corecalc advanced spreadsheet technology with user-defined functions and efficient recalculation algorithms. Key contributions include over 30 publications, including books on programming language concepts and Java/C# syntax. He has led major research projects such as 'Popular Parallel Programming' (P3) and 'Probabli' for actuarial calculations. His academic service includes roles on national grant committees and international conference organizing committees. Notable advising includes PhD students like Andrzej Wasowski (ITU Professor) and David Christiansen (Director of Haskell Foundation). His work has been recognized through grants exceeding 25 million DKK and collaborations with institutions like Microsoft Research and Harvard University.

• Programming Languages
• Software Development
• Parallel Programming
• +4 more

Henrik Høeg Müller is an Associate Professor and Head of Department in Spanish Business Communication at the School of Communication and Culture, Aarhus University, Denmark. He is actively engaged in linguistic research focusing on typological differences between Danish and Spanish, particularly in syntax, morphology, and lexical-schematic distinctions. Institution: Aarhus University School: School of Communication and Culture Department: Spanish Business Communication Position: Associate Professor, Head of Department Email: henhm@cc.au.dk His research centers on the structural and typological contrasts between Danish and Spanish, especially in nominal expressions, predicate formation, and lexical vs. syntactic encoding. Key interests include bare nouns, count/mass distinctions, telicity, motion verbs, and schematicity. His work often employs comparative and cognitive linguistic frameworks. The most recent publications reveal a strong trend in analyzing how lexical and syntactic strategies diverge across languages, especially in expressing similarity, kind, and event structure. Topics such as the Danish 'slags', complex predicates, and ambiguous nominal structures highlight his focus on fine-grained syntactic and semantic analysis. These works contribute to broader discussions in typology and cognitive linguistics. Henrik Høeg Müller has served as an editor for Ny Forskning i Grammatik and frequently presents at academic events, including workshops and conferences. He has no listed scientific awards in the provided text. Editorial Role: Editor, Ny Forskning i Grammatik Presentations: Regular lecturer at seminars and conferences on Danish and Spanish linguistics He is involved in academic networks related to Scandinavian and Romance linguistics, contributing to collaborative research and scholarly discourse. No labs or formal research teams are explicitly mentioned.

• Linguistics
• Typological Linguistics
• Syntax
• +11 more

Leon Derczynski is an Associate Professor of Computer Science at the IT University of Copenhagen , with a dual role as Principal Research Scientist/LLMSEC at NVIDIA . He leads the Strømberg NLP research group and coordinates NLP South at ITU, while also being affiliated with the Machine Learning group. Specializes in Natural Language Processing , Machine Learning , and LLM security Focus on Misinformation detection , Clinical text mining , and Danish language technology Research grants include Verif-AI (2.9M DKK), ClinRead (544K DKK), and LITHME (EU COST action, €11K). He has coordinated major projects like COMRADES and PHEME , and contributed to uComp and TrendMiner . Scientific recognition includes the University of Sheffield Exceptional Contribution Award (twice), WEBIST Best Student Paper award , and FP7 funding . His technical work includes the garak.ai LLM vulnerability scanner and generalised-brown clustering library. Actively supervises students and maintains numerous GitHub repositories (86 public projects) related to NLP, machine learning, and computational linguistics. He has delivered keynotes and guest lectures , including at Innopolis University (Russia) and PET (Danish Security and Intelligence Service).

• Natural Language Processing
• Machine Learning
• Misinformation Detection
• +3 more

Patrizia Paggio serves as an Associate Professor and Senior Researcher within the Department of Nordic Studies and Linguistics at the University of Copenhagen's Faculty of Humanities, concurrently holding a full professorship at the University of Malta's Institute of Linguistics and Language Technology since September 2011. Her scholarly work centers on the intricate relationship between verbal and nonverbal communication modalities, with international recognition for advancing methodologies in multimodal analysis. Academic Background: PhD in Computational Linguistics from the University of Copenhagen (1997), dissertation: "The Treatment of Information Structure in Machine Translation" Professor Paggio's research program investigates how gestures, head movements, and other nonverbal cues interact with spoken language to construct meaning in natural communication. She has pioneered methodologies for constructing and analyzing multimodal corpora, while maintaining technical expertise in machine translation systems, grammar engineering, and content-based querying frameworks. Her theoretical work spans formal syntactic structures, discourse phenomena, information packaging, and ontological representations for linguistic data, consistently bridging computational methods with linguistic theory. Analysis of her recent publications (2020-2025) reveals a sustained focus on computational approaches to nonverbal communication, particularly the automatic detection and annotation of head movements and gestures in both physical and digital environments. Key contributions include the GEHM Zoom corpus for online interaction analysis, eye-tracking studies of emoji processing, and diachronic modeling of historical language change. Her work strategically integrates eye-tracking, corpus linguistics, and machine learning techniques, establishing her at the convergence of linguistic theory, cognitive science, and artificial intelligence applications. Professional Leadership: Coordinator of the international GEHM (Gestures and Head Movements in Language) research network Organizer of MULTIMODAL CORPORA 2018, 4th European/Nordic Symposium on Multimodal Communication, and LREC2022 Workshop on People in Vision, Language and the Mind

• Multimodal Communication
• Multimodal Corpora
• Spoken Language and Gestural Behaviour
• +6 more

Marcell Richard Fekete is a Research Fellow at Aalborg University Copenhagen's Department of Computer Science within The Technical Faculty of IT and Design. Funded by the Carlsberg Foundation, his work focuses on multilingual modeling for resource-poor languages under Professor Johannes Bjerva's supervision. Education MA in Human Language Technology from Vrije Universiteit Amsterdam (2022) BA in Linguistics from University of Cambridge (2018) His research explores multilinguality, language typology, parameter-efficient fine-tuning methods, and computational linguistics interpretability. He investigates how language models represent linguistic knowledge and compares human-AI language understanding paradigms. Recent publications focus on adapter modules for cross-lingual transfer, phonetic similarity in toponym matching, and creole language benchmarks. His work demonstrates strong connections to machine translation, language modeling, and computational linguistics subfields. Active in academic dissemination, he has presented at major conferences like ACL and NAACL, participated in workshops, and engaged in international collaborations including a guest researcher position at Hungary's Research Centre for Linguistics.

• Multilinguality
• Language variation and typology
• Parameter-efficient fine-tuning methods
• +2 more

Ali Basirat is an Associate Professor in the Department of Nordic Studies and Linguistics at the Faculty of Humanities, University of Copenhagen, affiliated with the Center for Language Technology (CST). His research focuses on data-driven approaches to language technology, particularly explainable natural language processing and morphosyntactic analysis, with emphasis on universal patterns across languages and efficient language processing tools. His academic qualifications include: PhD in Computational Linguistics from Uppsala University (awarded 2018) Certificate in Higher Education Pedagogy from Linköping University (awarded 2022) Dr. Basirat's research centers on mathematical modeling of natural languages, with core interests in universal language models, representation learning, dependency syntax, and explainable NLP. He investigates data-driven syntax, word embeddings, grammatical gender patterns across languages, and adaptation of large language models for environmental studies and sustainable development goals. His work bridges theoretical linguistics with practical NLP applications. Analysis of his 2020-2025 publications reveals three dominant trends: (1) Advancements in multilingual dependency parsing through linguistic typology and syntactic nuclei exploration; (2) Investigation of grammatical gender representation in word embeddings and language models; (3) Application of NLP techniques to climate conceptual history and environmental studies. His research increasingly addresses efficiency challenges in large language model adaptation while maintaining cross-lingual performance. No major scientific awards are currently documented in his public profile. Dr. Basirat supervises master's theses in natural language processing and computational linguistics, focusing on machine learning, language modeling, syntactic parsing, and knowledge graphs. He teaches graduate courses including Scientific Programming and Representation Learning for Natural Language Processing (RL4NLP) at the University of Copenhagen's IT & Cognition and Computer Science programs. He is a core member of the Center for Language Technology (CST) and actively collaborates with the Nordic Language Processing Laboratory (NLPL). His research network extends through membership in the Association for Computational Linguistics (ACL), facilitating international collaborations across European institutions.

• Natural Language Processing
• Computational Linguistics
• Machine Learning
• +5 more

Jens Bjerring-Hansen is an Associate Professor in the Department of Nordic Studies and Linguistics at the University of Copenhagen’s Faculty of Humanities, specializing in interdisciplinary digital literary studies. His work bridges Scandinavian literature, computational linguistics, and artificial intelligence with a focus on historical text analysis. Education PhD in Scandinavian Literature (2010) MA in Danish and German (2006) Research Interests His primary expertise spans 17th–20th century Scandinavian literature, particularly Scandinavian Modernism and Georg Brandes’ legacy. Current work integrates literary history with computational methods, examining book history, sociology of literature, and AI-driven text analysis. Key projects include developing statistical frameworks for historical Scandinavian texts and exploring gender dynamics in The Modern Breakthrough movement. Publication Trends Recent articles (2024–2025) demonstrate a cohesive focus on computational analysis of Scandinavian literary heritage, using NLP techniques to study historical texts, euphemisms, gender representation, and temporal contexts. His work consistently bridges humanities and computer science, with emphasis on Danish-Norwegian comparative frameworks and practical applications of language models for historical corpora. Grants & Leadership PI: Measuring Modernity (2020–2024, Carlsberg Foundation) Co-PI: Mining the Meaning (2022–2025, Data+ Initiative with Daniel Herschcovich) Collaboration Networks Active in interdisciplinary teams including computer scientists (e.g., DiKu department), linguists, and international institutions like University of Bergen and UC Berkeley. Regularly participates in Nordic research forums and contributes to digital infrastructure projects like Tekstnet+.

• Literary History
• Cultural History
• Book History
• +6 more

Line Burholt Kristensen is an Associate Professor in the Department of Nordic Studies and Linguistics at the University of Copenhagen's Faculty of Humanities. She leads the research group "Broken Grammar & Beyond," financed by the Independent Research Fund Denmark, and serves as Principal Investigator for the Steno Diabetes Center Sjælland-funded project "Vulnerability and related notions - an investigation of language to and about individuals with diabetes" with co-PI Christina Fogtmann Fosgerau. Her educational background includes an MA in linguistics, PhD, and completion of the Teaching and Learning in Higher Education Programme at the University of Copenhagen (2013-2014). Her academic career spans positions as Associate Professor (2018-present), Postdoc at the ProGram research group (2013-2017), External lecturer (2012-2013), and PhD student (2009-2012). Kristensen's research integrates psycholinguistics, neurolinguistics, and experimental methodologies to investigate grammatical processing. Her primary focus examines how native speakers process texts with anomalous learner syntax, particularly verb placement errors in Danish as a second language. She employs eye-tracking technology to measure reading times and comprehension, comparing grammatical anomalies in native versus non-native Danish writing. Her work on information structure and sentence context builds on her 2013 PhD thesis "Context, you need," which investigated how these elements interact during sentence processing. Her recent publications reveal a strong trajectory in second language acquisition research, with particular emphasis on verb-second constructions in Danish, preposition usage, and error detection mechanisms. These studies combine corpus linguistic approaches with experimental methods, demonstrating how language users react to grammatical anomalies both cognitively and neurologically. Her work increasingly bridges theoretical linguistics with practical applications for language teaching. As an educator, Kristensen teaches at BA and MA levels in Linguistics and has previously instructed courses in Audiologopedics, Danish, and IT & Cognition. She actively supervises student projects in experimental linguistics and corpus linguistics, encouraging research on language processing and acquisition. Her grant portfolio includes substantial funding from the Independent Research Fund Denmark and Steno Diabetes Center Sjælland for interdisciplinary projects examining language in both educational and medical contexts. She directs the "Broken Grammar & Beyond" research group, which employs a multidisciplinary approach combining psycho- and neurolinguistic experiments with grammar research. The team investigates the neural underpinnings of language processing using neuroimaging techniques while analyzing naturally occurring grammatical anomalies in both native and non-native Danish writing. This work has significant implications for understanding language acquisition, processing limitations, and the cognitive architecture of grammar.

• Psycholinguistics
• Experimental linguistics
• Neurolinguistics
• +9 more

Kurt Nørmark is an Associate Professor in the Department of Computer Science at Aalborg University, under The Technical Faculty of IT and Design, Denmark. He is actively engaged in research and teaching, particularly in the areas of programming education and programming language design. His research interests focus on Object-Oriented Programming , Programming Languages , Program Understanding , and Educational Technology in introductory programming. He has explored the use of video and digital tools to enhance student learning in programming courses, contributing to modern pedagogical approaches. The recent publications reflect a consistent trend in computing education , emphasizing gradual abstraction , program documentation , and student engagement through multimedia. These works are primarily situated within the broader fields of Computer Science Education and Educational Technology. Kurt Nørmark has participated in educational research projects, including the PBL Exchange initiative, which supports Problem-Based Learning through IT platforms. While no formal list of advisees or awards is provided, his contributions to curriculum development and digital teaching tools indicate active involvement in academic mentoring and educational innovation. He is associated with research initiatives aimed at improving teaching methodologies in computer science, particularly through the integration of videos and digital platforms in classroom settings.

• Computer Science
• Programming Languages
• Object-Oriented Programming
• +8 more

Morten Rhiger is an Associate Professor in the Department of People and Technology at Roskilde University, Denmark, specializing in programming language theory and implementation with expertise in semantics, type systems, and compiler design. His research portfolio centers on: Programming Languages : Core design principles and theoretical foundations Semantics : Formal denotational and operational frameworks Type Systems : Safety mechanisms and correctness verification Compilers : Optimization techniques and runtime systems Program Generation : Staged computation and automatic code synthesis Multi-stage Languages : Runtime code generation and partial evaluation Publication trends reveal sustained contributions from foundational work (2009-2012) on pattern combinators and staged computation to recent innovations in type-based uncurrying (2024), with significant interdisciplinary work on energy-transparent systems (2016). His research consistently bridges theoretical rigor with practical implementation challenges. Rhiger actively contributes to major research initiatives including ENTRA (2012-2015) for energy transparency, NUSA (2011-2013) for model checking, and recent energy-certification projects (2020-2022), demonstrating sustained focus on program analysis and energy-aware computing. He maintains strong community engagement through organizing the Copenhagen Programming Languages Workshop and participating in key conferences including the Symposium on Implementation and Application of Functional Languages.

• Computer Science
• Programming Languages
• Semantics of Programming Languages
• +10 more

Mikkel Wallentin is a Professor at the School of Communication and Culture, Aarhus University, specializing in Cognitive Science. He investigates the intricate relationships between language, brain, and cognition through interdisciplinary research combining neuroscience, linguistics, and psychology. His research interests include psycholinguistics, neurolinguistics, neuropragmatics, spatial memory, language comprehension, and inner speech . He employs methods such as fMRI, behavioral experiments, and corpus analysis to explore how cognitive processes are embodied in linguistic behavior. His work also touches on gender differences in language development, depression detection via lexical choice, and aging in spatial communication. Wallentin's recent publications reveal a strong focus on emotional inner speech, its physiological effects, and its role in self-regulation , alongside studies on early language acquisition and linguistic pragmatics. His work bridges theoretical linguistics with cognitive neuroscience, often involving cross-linguistic and clinical populations. Principal Investigator, SCALA: Spatial Communication and Ageing across Languages (2024–2028) Participant, Cognition, Language and Music (2009–2013) Participant, Mass Experiment 2016 He has been actively involved in public dissemination, delivering lectures such as 'Language: A Window into the Mind' and contributing to media on topics like julefilm psychology and developmental language disorders. With over 127 research outputs, he maintains a robust scholarly presence in cognitive science.

• Psycholinguistics
• Neurolinguistics
• Cognitive Neuroscience
• +12 more