Large Language Models (LLMs) Professors and Supervisors in Denmark

Søren Tollestrup Askegaardمشاهده پروفایل

استاد

University of Southern DenmarkDenmark

Consumer Culture Theory
Socio-Cultural Market Studies
Globalization and Localization of Consumption
+۱۲ مورد دیگر

Søren Tollestrup Askegaard is a Professor at the Department of Business & Management (DBM), Faculty of Social Sciences, University of Southern Denmark (SDU). He is the founder and former Head of Research (2001–2008) of the Consumption, Culture and Commerce (CCC) research unit and holds affiliations with the SDU SCC Elite Center PACA, SDU Climate Cluster, and DIAS. He has held part-time professorships at the University of Lille, Aalto University, Lund University, and visiting roles at Suffolk University and UC Irvine. PhD in Business & Management Founder, BSc in Market & Management Anthropology (2012) Co-initiator, European Doctoral School of Consumer Culture Theorizing (2001) President, Consumer Culture Theory Consortium (2020–2023) Associate Editor, Journal of Consumer Research (2008–2014) His research critically explores consumer culture as socially embedded practice, focusing on globalization/localization, food and health culture, branding, and the symbolic economy. Current work investigates AI in healthcare consumer behavior and the biosocial dimensions of consumption using complexity theory and biosemiotics. He promotes interdisciplinary and policy-relevant research aligned with UN Sustainable Development Goals. The recent publications reflect a thematic evolution toward digital ethnography, AI in healthcare, and systemic inequalities in consumer culture. Articles span methodological innovation (LLMs in ethnography), clinical AI ethics, and critical reflections on value hierarchies in consumer research. Fyens Stiftstidendes Forskningspris (2017) Best Special Session Award, CCT Conference (2016) Ridder af Dannebrog (2013) Chevalier de l'ordre national du mérite (2011) Dansk Erhvervsforsknings Akademi Forskningspris (2008) Askegaard has supervised students and led major research projects such as SCC Elite Center PACA, Green Transition of Danish Healthcare, and interdisciplinary initiatives like GODT, VIND, and HumanFIT, focusing on AI, elderly care, and sustainable development. He is deeply involved in international research networks and policy engagement, advocating for consumer culture insights in addressing climate change, poverty, and biodiversity loss. He is currently developing ACCESS – Academy of Consumer Culture Equitability and Sustainability Studies. He leads the biennial seminar 'Consumption Theory – a Canon of Classics' and contributes to the SDU Lighthouse project on circular economy. His work bridges academic research with public discourse through extensive media engagement and knowledge dissemination.

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Morten H. Christiansenمشاهده پروفایل

استاد

Aarhus UniversityDenmark

Morten H. Christiansen serves as Professor in the Department of Cognitive Science at Aarhus University's School of Communication and Culture, with additional affiliations across interdisciplinary research units. His work bridges theoretical and empirical approaches to language sciences. His research investigates how biological constraints and environmental factors interact in language evolution, acquisition, and processing. Methodologically, he integrates computational modeling, corpus linguistics, statistical learning frameworks, and psycholinguistic experimentation to analyze language as a complex adaptive system. Key interests include identifying universal principles of language learning while accounting for cross-linguistic variation. Christiansen's publication trajectory demonstrates growing emphasis on computational approaches to cognitive science, particularly examining how large language models intersect with human literacy development and statistical learning mechanisms. Recent work critically engages with AI's role in cognitive theory. Scientific Awards: Rumelhart Prize (2023) for foundational contributions to theoretical cognitive science Research Leadership: Christiansen directs multiple externally funded projects including INTERACT-LLM (2025-), investigating human-AI language learning interactions; eSYMb (2022-2027) on symbolic behavior evolution; and The Puzzle of Danish (2017-2020) analyzing language-specific constraints. His grant portfolio demonstrates sustained funding for experimental and computational approaches to language research.

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Adrián Avelino Sousa-Pozaمشاهده پروفایل

پژوهشگر

University of CopenhagenDenmark

Adrián Avelino Sousa-Poza is a Researcher at the Department of Computer Science , University of Copenhagen, specializing in Machine Learning and its applications across diverse domains including Artificial Intelligence , Medical Data Analysis , and Quantum Computing . His research intersects with the SCIENCE AI Centre , focusing on both theoretical and applied aspects of machine learning. Recent work explores environmentally sustainable AI , quantum-enhanced models , and cross-cultural adaptation systems , reflecting his interdisciplinary approach. Key themes in his publications include large language models , quantum computing applications , and healthcare informatics , with a particular emphasis on interpretability , fairness , and hardware optimization in AI systems.

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Tobias Nordholm-Højskovمشاهده پروفایل

مدرس

University of CopenhagenDenmark

Tobias Nordholm-Højskov is an Instructor at the Department of Computer Science , University of Copenhagen (DIKU). His research intersects machine learning with healthcare, sustainability, and quantum computing, focusing on theoretical foundations and applications in medical data analysis, climate-aware AI, and quantum systems. He is affiliated with the SCIENCE AI Centre and contributes to projects like QDarts (quantum dot array simulation) and TreeSense (remote sensing for environmental monitoring). His work spans diverse subfields, including Explainable AI for healthcare records Federated Learning in rare disease research Quantum-inspired neural networks Retrieval-Augmented Generation frameworks Environmental impact mitigation in AI

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Fiammetta Caccavaleمشاهده پروفایل

پژوهشگر

Technical University of DenmarkDenmark

Fiammetta Caccavale is a Researcher at the Department of Chemical and Biochemical Engineering at Technical University of Denmark (DTU), affiliated with the PROSYS - Process and Systems Engineering Centre. Her work focuses on integrating artificial intelligence and digital technologies into chemical engineering education, with contributions to sustainable development goals related to quality education and industry innovation. Education: She completed her PhD in Chemical Engineering at DTU (2021-2025), supervised by Prof. Ulrich Krühne and Dr. Carlos Gargalo. Her doctoral research centered on digitalization strategies in chemical engineering education, including AI chatbots and Python programming integration. Research Interests: Her work spans AI-driven educational tools (e.g., chatbots, virtual tutors), machine learning applications in bioprocess monitoring, and curriculum modernization. She emphasizes ethical considerations in AI implementation and Industry 4.0 readiness. Publications: Her recent work explores AI chatbots for automating educational tasks (ChatGMP), machine learning for cell cycle analysis, and Python course frameworks for engineers. These contributions highlight her dual focus on pedagogical innovation and technological application in engineering. Lab/Team: As part of PROSYS, she collaborates on process systems engineering projects, contributing to educational technology development and bioprocess modeling initiatives.

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Paolo Burelliمشاهده پروفایل

مدرس

IT University of CopenhagenDenmark

Paolo Burelli is a Lecturer and Head of the brAIn Lab at the IT University of Copenhagen. He also serves as a Senior Data Scientist at Tactile Entertainment A/S since 2016. His research focuses on Game AI, Player Experience, Machine Learning, and Neuroscientific approaches to gaming. Key affiliations include the Creative AI Lab and The Maritime Hub. Research interests span adaptive game systems, player modeling, and the intersection of neuroscience with game design. Notable projects include the Pioneer Centre for Artificial Intelligence (2021–2034), ALGO (2019–2022), and CREATE (2023–2025). Projects emphasize creative AI applications in education, difficulty modeling in games, and maritime safety through alarm-handling practices. Publications highlight work on LLM emotion generation, EEG-based neural decoding, and player frustration tolerance. Collaborations include institutions like Springer and the Danish National Research Foundation. His datasets, such as the Uncanny Valley Face Questionnaire, contribute to facial perception studies. Labs under his leadership include the brAIn Lab, exploring AI ethics, game analytics, and human-centered computing. Projects emphasize practical applications of AI in education and industry.

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Niklas Elmqvistمشاهده پروفایل

استاد

Aarhus UniversityDenmark

Niklas Elmqvist is a Professor in the Department of Computer Science at Aarhus University. His research focuses on immersive analytics, data visualization, and human-computer interaction, emphasizing user-centered design and interdisciplinary approaches. He leads projects on interactive visualization systems, collaborative platforms, and accessibility in data analysis. Key research areas include agentic visualization systems, attention-aware interfaces, and ubiquitous analytics environments. He explores novel interaction techniques, such as bimanual gestures and multimodal feedback, to enhance data exploration experiences. His work bridges computer science with domains like epidemiology, cybersecurity, and creative writing. Elmqvist has contributed to influential platforms like DashSpace (collaborative immersive analytics) and Datamancer (gesture-driven analytics). He investigates challenges in accessible visualization for visually impaired users and the use of large language models for automated design feedback. His recent work addresses human-centered AI integration in visualization tools and the ethics of automated decision-making systems. He collaborates internationally on projects such as Riverside (cybersecurity visualization) and Lodestar (data science workflow recommendations). His research has been published in top journals like IEEE Transactions on Visualization and Computer Graphics, emphasizing both theoretical advancements and practical system implementations.

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Ljubiša Bojićمشاهده پروفایل

پژوهشگر ارشد

University of CopenhagenDenmark

Ljubiša Bojić is a Senior Research Fellow at the Digital Society Lab, Institute for Philosophy and Social Theory, University of Belgrade, and at the Institute for Artificial Intelligence of Serbia. He is a communication scientist and futurologist specializing in AI alignment, recommender systems, and the societal impact of emerging technologies. Bojić received his Ph.D. from the University of Lyon II, France in 2014 and has established himself as a leading voice in digital humanism and AI ethics. University of Belgrade, Institute for Philosophy and Social Theory, Digital Society Lab Institute for Artificial Intelligence of Serbia Complexity Science Hub Vienna (External Faculty Member) Bojić's educational background includes a Ph.D. in Communication Science from the University of Lyon II, France, completed in 2014. His academic journey has focused on the intersection of communication theory, digital technologies, and societal impact. Dr. Bojić's research centers on AI alignment with human values , particularly through his theoretical framework for a "CERN for AI" – an international collaborative model for AI testing and alignment. He investigates how recommender algorithms function as powerful social forces that shape human behavior, often creating echo chambers and social polarization. His work on the metaverse examines its addictive potential versus therapeutic promise, while his concept of digital humanism advocates for recognizing digital identity as a human right and recommender systems as public goods. Bojić's approach integrates communication science, futures studies, and ethical frameworks to address the challenges posed by emerging technologies to democracy and human autonomy. Bojić's recent publications reveal a consistent focus on understanding AI's capabilities and limitations, particularly regarding linguistic pragmatics, personality traits in language models, and the societal impact of recommendation algorithms. His work bridges technical AI research with social science perspectives, emphasizing the need for multidisciplinary approaches to AI governance. A notable trend is his advocacy for international collaboration in AI testing and alignment, reflected in his influential "CERN for AI" framework that has been cited by the World Economic Forum and G7 policy documents. Appointed to the United Nations Environment Programme Foresight Expert Panel Featured in "The Edinburgh Companion to the New European Humanities" as a founder of new digital humanities approaches Fellow of the Institute for Human Sciences Vienna (IWM) Associate Editor of Springer's journal "Humanities & Social Sciences Communications" Executive Board Member of Horizon Europe's "TWin of Online Social Networks" Project Bojić founded the EMERGE: Forum on the Future of AI Driven Humanity and initiated the Belgrade Digital Freedom Pledge , which advocates for recognizing recommender systems as public goods and digital identity as a human right. His research has influenced policy recommendations, including a Horizon Europe project that adopted his work to recommend algorithms designed to deliver balanced content that avoids negative bias and promotes diversity. Bojić frequently collaborates with international organizations including the United Nations, Complexity Science Hub Vienna, and various European research networks. As leader of the Digital Society Lab (DigiLab) at the Institute for Philosophy and Social Theory, Bojić directs research on the societal impact of AI and digital technologies. His team develops frameworks for assessing AI alignment with human values and wellbeing, with a particular focus on recommender systems and large language models. The lab's work combines computational methods with social science perspectives to address challenges in digital society.

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Pieter Françoisمشاهده پروفایل

استاد

University of CopenhagenDenmark

Pieter François is Professor of Cultural Evolution at the University of Oxford and a Tutorial Fellow in Human Sciences at Regent’s Park College. He is also the Academic Lead on Data Science and AI for the Arts and Humanities at the Alan Turing Institute and serves as Executive Director of the Seshat: Global History Databank. He leads major interdisciplinary projects including 'Data/Culture: Building Sustainable Scholarly Communities' and the Freedom of Religion or Belief Leadership Network. His research centers on cultural evolution , social complexity , and historical dynamics , with specific interests in ritual, warfare, inequality, and religious tolerance. He develops and applies methodologies for large-scale collaborative research in the digital humanities, leveraging structured historical data to test theories about societal development and collapse. His recent publications highlight a growing focus on artificial intelligence and historical reasoning , particularly through the HiST-LLM benchmark, which evaluates LLMs on PhD-level historical knowledge. These works reveal a trend toward integrating computational methods with deep historical analysis, emphasizing empirical validation and cross-cultural comparison. Scientific contributions and leadership roles include: Founding Director and Executive Director, Seshat: Global History Databank Principal Investigator, AHRC-funded 'Data/Culture' project Academic Lead, AI for Arts and Humanities, Alan Turing Institute Co-leader, Social Complexity and Collapse Group, Complexity Science Hub (CSH) He actively mentors researchers and leads collaborative teams across institutions, fostering sustainable scholarly communities around humanities datasets and software. His work is supported by major grants and involves extensive international collaboration, with future research likely to expand AI applications in historical sciences and deepen understanding of societal resilience and transformation. He is affiliated with key research groups such as the Social Complexity and Collapse Group at the CSH and contributes to major workshops and public-facing science communication, as seen in recent press coverage on AI and history.

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Ernests Lavrinovicsمشاهده پروفایل

پژوهشگر

Aalborg UniversityDenmark

Ernests Lavrinovics is a PhD fellow at the Department of Computer Science , Aalborg University , affiliated with the Technical Faculty of IT and Design and Data, Knowledge and Web Engineering research group. His work focuses on Natural Language Processing (NLP) , Large Language Models (LLMs) , and addressing challenges in machine translation and knowledge graph integration for resource-poor languages. His research explores critical NLP themes including hallucination detection in LLMs , adapter-based regularization techniques for multilingual transfer, and multitask benchmark development for creole languages. He contributes to datasets like MultiHal and CreoleVal , emphasizing semantic grounding and cross-lingual evaluation. Recent publications analyze adapter architectures as regularizers in low-resource settings (ACL 2025) He co-developed MultiHal (2025), a multilingual dataset for LLM hallucination evaluation His work spans knowledge graph applications , transfer learning , and multilingual representation challenges As an active academic, he has organized events like the Copenhagen NLP Symposium (2025) and AAU NLP Symposium (2024). He participates in technical programs at venues such as ACL and MRL Workshops , with citations in Scopus and Mendeley readership.

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Levs Gondelmansمشاهده پروفایل

استادیار

Aalborg UniversityDenmark

Levs Gondelmans is an Assistant Professor in the Department of Computer Science at the Technical Faculty of IT and Design, Aalborg University. His research focuses on improving educational feedback systems through distributed, embedded, and intelligent technologies. Institution: Aalborg University School: Technical Faculty of IT and Design Department: Computer Science Academic Rank: Assistant Professor Gondelmans' research interests center on Educational Technology , with specific emphasis on: Formative feedback mechanisms Adaptive tutoring systems Multi-turn interaction models Feedback quality optimization Custom instruction frameworks Feedback cycle analysis In 2025, he co-authored a preprint titled "SEFL: Harnessing Large Language Model Agents to Improve Educational Feedback Systems" (submitted), which explores applications of LLM agents in educational contexts.

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Christian Graugaardمشاهده پروفایل

استاد

Aalborg UniversityDenmark

Christian Graugaard is a Professor of Sexology at Aalborg University, affiliated with the Faculty of Medicine and the Department of Clinical Medicine. He is a key member of the Center for Sexology Research and leads Project SEXUS, aiming to study Danish sexual behavior comprehensively. His work emphasizes the intersection of biological, psychological, and cultural factors in human sexuality, challenging simplistic gender-based stereotypes. Research interests include gender differences in sexual behavior, societal norms influencing sexual health, and the cultural dimensions of human sexuality. He actively participates in public discourse, as seen in his DR-podcast interview on 'Ramt af kærlighed,' where he discussed the complex interplay between biology and culture in shaping sexual identities. Though no specific awards or grants are detailed here, his publications span advanced technical domains like spatiotemporal data analysis, federated learning, and trajectory modeling, suggesting interdisciplinary research collaborations. His work on systems like OneDB and SWASH highlights contributions to distributed computing and data science, which may underpin his methodologies in large-scale sexual behavior studies. He currently holds no listed students or formal advisees in the provided texts, and his involvement in labs/teams is limited to the Center for Sexology Research and Project SEXUS.

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Anders Giovanni Møllerمشاهده پروفایل

پژوهشگر ارشد

IT University of CopenhagenDenmark

Anders Giovanni Møller is a PhD Fellow at the IT University of Copenhagen , specializing in Natural Language Processing and Computational Social Science . His work explores the intersection of Large Language Models (LLMs) and human social behavior, with a focus on ethical AI applications in digital communities. Research Interests include: Evaluating LLMs' ability to simulate human dialogue Assessing prompt refinement vs. fine-tuning methodologies Investigating generative AI's impact on social media ecosystems Network science approaches to online community dynamics Current Project : COCOONS (2023-2025): Examines collective coordination through social media, funded by the Carlsberg Foundation

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Lars Nannestad Jørgensenمشاهده پروفایل

استاد بالینی

University of CopenhagenDenmark

Lars Nannestad Jørgensen serves as Clinical Professor at the Department of Clinical Medicine, University of Copenhagen, with clinical affiliations at Bispebjerg Hospital (Bispebjerg Bakke 23) and Rigshospitalet (Blegdamsvej 3) in Copenhagen. His dual appointment bridges surgical practice and academic research within Denmark's public healthcare system, focusing on gastrointestinal malignancies and perioperative care. His research program centers on translational surgical oncology, particularly colorectal cancer screening optimization through liquid biopsy technologies and fecal immunochemical testing. Key investigations include postoperative monitoring systems for early complication detection, cost-effectiveness analyses of cancer screening programs, and novel biomarker discovery in pancreatic cancer. Recent work explores the intersection of artificial intelligence and medical education, examining large language model applications in surgical research. Analysis of his 2024-2025 publications reveals strong emphasis on colorectal cancer diagnostics (62.5% of recent work), with significant contributions to perioperative monitoring technology and healthcare economics. Emerging trends include integration of circulating tumor DNA in screening protocols and rigorous evaluation of AI tools for surgical research abstract generation. His extensive publication record (256 outputs including 223 journal articles) demonstrates substantial collaborative networks across Danish hospitals and international institutions. Social media impact is notable with 18 X (Twitter) mentions for his colorectal cancer cost study and 40 Mendeley readers for his pancreatic cancer biomarker research, indicating significant clinical relevance.

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