Lilja Øvrelid is a Professor at the Department of Informatics, University of Oslo, leading the Language Technology Research Group. Her research focuses on syntactic and semantic text processing using machine learning techniques such as dependency parsing, negation analysis, and sentiment analysis. She teaches courses including IN1140: Introduction to Language Technology , IN5550: Neural Methods in NLP , and INF5830: Natural Language Processing . Her academic interests span natural language processing, machine learning, and computational linguistics, with a particular emphasis on Norwegian language technology. Recent publications highlight work in sentiment analysis (including patient feedback), event extraction from Norwegian news, benchmarking language models, emotion analysis for under-resourced languages (Pashto, Farsi-Dari), and bias detection in multilingual models. She actively contributes to the development of Norwegian language resources such as NorBench, NorQuAD, and NoReC. Current projects include BigMed and SIRIUS , focusing on biomedical text mining and AI infrastructure. Collaborations with colleagues like Erik Velldal, David Samuel, and Vladislav Mikhailov are frequent in her work. Despite no explicit mention of scientific awards, her contributions to NLP and computational linguistics are substantial through publications, datasets, and tool development.
Joao Carlos Amaro Ferreira is a Professor at the Faculty of Logistics, Molde University College (HiMolde), Norway. He holds PhDs in Computer Engineering and Industrial Engineering from the Technical University of Lisbon and the University of Minho, respectively. His research focuses on Artificial Intelligence (AI) applications in healthcare, energy, transportation, IoT, blockchain, and smart cities. He has led over 40 projects, including 6 as Principal Investigator, and contributed to international conferences like OAIR and INTSYS. He served as IEEE CIS President (2016-2018) and is an IEEE Senior Member since 2015. His academic contributions span AI-driven solutions for public sector informatics, healthcare data quality, and cybersecurity. He actively participates in European projects such as e-Hospital4Future and explores blockchain applications in supply chains and medical records. Ferreira leads the ABC-AI research group, emphasizing ethical and applied AI. His work bridges academia and industry through projects like gamification systems for eco-driving and AI in fisheries traceability. Recent publications highlight AI's role in cardiovascular disease detection, emergency department optimization, and blockchain-enhanced healthcare interoperability. He collaborates internationally, co-editing journals like Applied Sciences , and has authored patents in edge computing for maritime monitoring.
Haley De Korne is a Professor at the University of Oslo's Institute for Literature, Area Studies and European Languages within the Faculty of Humanities. Her academic work spans the intersections of linguistics, education, and anthropology, focusing on multilingual education contexts with particular attention to minoritized and indigenous languages. Dr. De Korne holds a PhD in Educational Linguistics from the University of Pennsylvania, an MA in Applied Linguistics from the University of Victoria, and a BA (Hons) in Combined Social Sciences from Durham University. Her academic journey reflects a strong foundation across multiple disciplines that inform her interdisciplinary approach to language research. PhD Educational Linguistics, University of Pennsylvania, USA MA Applied Linguistics, University of Victoria, Canada BA Hons Combined Social Sciences, Durham University, UK Her research interests focus on critical language awareness among teachers, social change imaginaries in multilingual regions, and pedagogies for language reclamation. She specializes in minoritized languages in education, multilingual education policy and pedagogy, language politics, indigenous language reclamation & revitalization, and language ideologies, with specific expertise in Isthmus Zapotec (Mexico) and Anishinaabemowin (US & Canada). Her methodological approach combines ethnography and interactional sociolinguistics within linguistic anthropology. Analysis of Dr. De Korne's recent publications reveals a consistent focus on language revitalization, particularly examining how educational contexts can support or hinder minoritized language maintenance. Her work increasingly addresses global North-South perspectives on language education, with attention to place-based pedagogy and critical language awareness. A significant thread throughout her research examines translanguaging practices and how they challenge traditional monolingual approaches to language education. Her scholarship demonstrates strong community engagement, particularly with Zapotec-speaking communities in Mexico. Dr. De Korne serves on the editorial board of Multilingua - Journal of Cross-cultural and Interlanguage Communication (2023-2025) and is an active member of the Norwegian Academy for Young Researchers (2021-2025). She also chairs the American Association of Applied Linguistics Committee for Online Education and Outreach Webinar subcommittee. Member, Norwegian Academy for Young Researchers (2021-2025) Editorial board member, Multilingua Journal (2023-2025) Chair, AAAL Committee for Online Education and Outreach (2023) Partner, Multilingualism in Transitions Research Project (2021-2025) Affiliated researcher, MultiNor Research Group At the University of Oslo, Dr. De Korne teaches courses including MULTI 4150 Project-based research in multilingualism, NOAS 4102 Additional language learning in socio-cognitive and sociocultural perspectives, and several linguistics courses on language acquisition, multilingualism, and research methods. She also leads PhD courses on communication in multilingual workplaces and revitalization of indigenous and minority languages. Her current research projects include FOSTERLANG (Indigenous language resilience), Language and culture maintenance in Wilamowice, and Linguistics and Sustainability.
Marco Seeber is a Professor at the University of Agder's Department of Political Science and Management. He holds a PhD from the University of Chieti Pescara (Italy) and has previously worked at the University of Lugano (Switzerland) and Ghent University (Belgium). His research focuses on public policy, governance, and management with specialization in higher education systems, research evaluation, and science policy. Professor Seeber's research examines policy implementation, research metrics, peer review systems, academic careers, internationalization, and interdisciplinarity in higher education. He employs comparative and quantitative methodologies to analyze governance structures and policy impacts across different educational systems. He has received significant recognition including the Swiss Prize for Research in Education (2019) and fellowships from IEEE, AIUM, and AIMBE. As Co-Editor-in-Chief of the European Journal of Higher Education, he shapes scholarly discourse in his field. He currently coordinates the Horizon CSA project IANUS (2025-) and leads courses in organizational theory, research methodology, and leadership.
Christian Unkelbach is Professor of Social Psychology at the Department of Psychology, Faculty of Humanities, University of Cologne, where he leads the Unkelbach Group. His research spans multiple domains of social and cognitive psychology with significant contributions to understanding evaluative processes. His primary research interests include Social Cognition, Evaluative Judgments, Information Ecologies, Stereotypes and Prejudice, Evaluative Learning, Fluency Effects, and Sport Psychology. Unkelbach's work examines how humans process evaluative information in social contexts, with particular focus on the truth-by-repetition effect , evaluative conditioning , and cognitive ecological frameworks that explain why certain information patterns dominate social cognition. His research demonstrates how repetition increases belief in information , how attributes become associated through mere pairings , and why positive information is processed more efficiently than negative information. Analysis of his recent publications reveals a consistent trajectory examining the relativity of social cognition , truth effects across contexts , and metacognitive awareness of cognitive biases . His work increasingly integrates cross-linguistic perspectives and examines real-world applications in media consumption and social judgment. Honorary Doctorate from UCLouvain (2025) ISCON Best Paper Award 2020 Speaker of DFG Research Unit FOR2150 'Relativity in Social Cognition' (2017-2021) Emmy Noether Research Grant (DFG, 2009-2013) Feodor Lynen Research Scholarship (Alexander von Humboldt Foundation) Fulbright Scholarship Unkelbach has advised numerous doctoral researchers including Andreas Miculka, Anne Irena Weitzel, Felix Speckmann, Lea Sperlich, and Tabea Zorn. His research group has secured multiple C-SEB grants for projects examining social cognition phenomena. The Unkelbach Group maintains active collaborations with international researchers across Europe and North America, with recent work funded through the DFG Research Unit on Relativity in Social Cognition. The Unkelbach Group laboratory at Richard-Strauss-Str. 2 in Cologne comprises postdoctoral researchers, doctoral candidates, and student assistants working on experimental paradigms examining evaluative learning, truth effects, and social judgment processes. Current projects investigate cross-linguistic truth effects, metacognitive monitoring of repetition effects, and ecological validity in social cognition frameworks.
Egor Kostylev serves as an Associate Professor in the Department of Informatics within the Faculty of Mathematics and Natural Sciences at the University of Oslo. His research focuses on the theoretical foundations connecting symbolic and sub-symbolic artificial intelligence, particularly examining relationships between formal logic systems and machine learning approaches. His educational background includes an MSc (Specialist, 2005) and PhD (Candidate, 2009) from Lomonosov Moscow State University under Prof. Vladimir A. Zakharov. He subsequently held research positions at the University of Edinburgh (2010-2013) and the University of Oxford (2013-2020) before joining the University of Oslo in 2020. Kostylev's research interests center on bridging symbolic AI formalisms with sub-symbolic approaches. He investigates connections between various logics (Description Logics, Temporal Logics, Datalog), query languages (SPARQL, Regular Path Queries, OTTR), and machine learning formalisms (Graph Neural Networks, Markov Logic Networks). His work addresses critical challenges in Explainable, Trustworthy, and Green AI through theoretical foundations that connect different AI paradigms. His publication record demonstrates consistent high-impact contributions in theoretical computer science and AI, with numerous publications in top venues including AAAI, LICS, Journal of the ACM, and ICLR. His recent work shows a clear trajectory toward unifying logical reasoning with neural network approaches, particularly through graph neural networks and their connections to logical formalisms. The research spans theoretical foundations of knowledge representation, temporal reasoning in knowledge bases, and the logical expressiveness of modern neural architectures. As a research leader, Kostylev supervises multiple PhD students including Shuwen (Aurora) Liu, Maximilian Pflüger, Roxana Pop, Dongzhuoran Zhou, and Erik Snilsberg. He serves as a Research Theme Leader for the Integreat SFF: Norwegian Centre for Knowledge-driven Machine Learning. His teaching responsibilities include IN3020/4020 Database Systems courses. He leads the Data and Knowledge Management (DKM) research group at the University of Oslo, which focuses on foundational aspects of knowledge representation, database theory, and the intersection with modern machine learning techniques. The group actively collaborates with international researchers and contributes to advancing theoretical understanding of how symbolic and neural approaches to AI can complement each other.
Jason Nelson is a Professor of Digital Culture in the Department of Linguistic, Literary and Aesthetic Studies at the University of Bergen, Norway. He is a creator of digital poems and fictions, builder of surrealist and politically focused art games and digital creatures. His work is exhibited widely in galleries and journals around the globe at FILE, ACM, LEA, ISEA, SIGGRAPH, ELO and numerous other venues. Nelson serves on organizational boards including the Australia Council Literature Board and the Electronic Literature Organization. Nelson's research focuses on the intersection of digital technology, creative writing, and artistic expression. He explores how AI and machine learning can be harnessed for creative purposes, developing new forms of digital literature and interactive art. His work often involves building expansive visual worlds through collaborative AI processes, creating interactive digital poetry, and developing novel approaches to digital narrative. Nelson's research spans digital humanities, electronic literature, AI-generated art, and interactive media, with particular emphasis on how these technologies transform creative processes and experiences. Over the past decade, Nelson's work has increasingly focused on the creative potential of AI technologies, especially in the areas of text-to-image generation and multimodal authorship. His projects often blend game engines with poetic expression, creating immersive experiences that challenge traditional boundaries between human and machine creativity. Recent works explore themes of multispecies futures, time perception, and the transformation of physical spaces through augmented reality. Nelson has received numerous scientific awards and fellowships including: Fulbright Fellowship at the University of Bergen Moore Fellowship at the National University of Ireland Winner of the Digital Writing Prize, Queensland Literary Awards (15,000 AUD) Winner of the Woollahra Library Digital Poetry Prize (5,000 AUD) Runner-Up Prize at the Videomedeja digital art exhibition Finalist for the Turn-on Literature Prize Finalist for the Queensland Literary Awards, Digital Writing Category Multiple finalist nominations for the New Media Writing Prize Nelson actively participates in academic advising and has secured significant research funding, including a 125,000 AUD grant from the Australia Council of the Arts, Literature Board for his project "Cube Cryptext and Nomencluster," which was recognized as the world's largest interactive art-game. His work "Nine Billion Branches" received multiple awards including the Digital Writing Prize from the Queensland Literary Awards. He has also received a 75,000 NOK grant for the "Flood Mosaic Artwork" project featured in the Floodlines Exhibition at the State Library of Queensland. Nelson is affiliated with the Center for Digital Narrative at the University of Bergen, where he collaborates with researchers like Scott Robert Rettberg and Alinta Krauth. Together they form EphemerLab, exploring new creative processes that move beyond simple "ask and generate" AI methods. Their work involves stitching together hundreds of individual image fragments and components into cohesive visual and narrative concepts, pushing the boundaries of what's possible with current AI technologies.
Paola D’Andrea is a Postdoctoral Research Fellow in Classical Reception Studies at the University of Oslo’s Department of Philosophy, Classics, History of Art and Ideas. Previously, she held a lectureship in Comparative Literature at NTNU Trondheim (2018–2020), where she taught modules in Literary Theory and supervised student theses. Her research focuses on the intersection of Classical Reception, Neo-Latin studies, and translational practices, particularly in Fascist Italy and 19th-century Scottish literature. Education : - D.Phil. (Classical Languages and Literature), University of Oxford (2016) - MA Modern Humanities (summa cum laude), Università degli Studi di Milano (2010) - BA Humanities (summa cum laude), Università degli Studi di Milano (2007) Research Focus : Her monograph Il latino allo specchio. Riflessi dell’antico nel romanzo di Stendhal (under revision) explores classical influences in French literature. Current projects include the use of Latin in Fascist Italy’s public sphere. Key themes in her work are national identity formation, intertextuality, and the role of antiquity in modern political and literary contexts. Teaching : Expertise spans Classical Languages, Comparative Literature, and Literary Theory. At NTNU, she designed innovative group learning modules combining essay writing and focus groups. Lab/Team : Affiliated with the project New Signs of Antiquity: The Uses of Latin in the Public Culture of Fascist Italy (1922–1943) and the Classical Ages - Research Cluster at UiO.
Dr. Saeed Karimi Aghdam Ordaklou is an Associate Professor of English Language and Didactics at the Faculty of Education and Arts, Nord University, Norway. His academic career is rooted in applied linguistics, with a focus on second language acquisition, educational psychology, and dynamic systems theory. PhD in Applied Linguistics (Second Language Acquisition), University of Jyväskylä, Finland MA in English Language Teaching, Azarbaijan Shahid Madani University, Iran B.A. in English Language & Literature, University of Tabriz, Iran Professional Teacher Education, JAMK University of Applied Sciences, Finland His research synthesizes Vygotsky’s cultural-historical psychology, dynamic systems theory, and dialectical frameworks to explore second language development in sociocultural contexts. Key themes include L2 writing, complexity-accuracy-fluency dynamics, and interdisciplinary theoretical integration. Recent publications emphasize dynamic systems theory applications, digital mediation in multilingual writing, and the sociocultural dimensions of language learning. He has also guest-edited special issues addressing theoretical dialogues in applied linguistics. Dr. Karimi Aghdam has taught in Iran, Finland, and Norway, and holds teaching qualifications from the UK, Finland, and Norway. He actively collaborates with international scholars and has held visiting researcher roles at UC San Diego, Penn State, and the University of Southern Denmark.
Alexander Refsum Jensenius is a Professor of Music Technology and Director of the RITMO Centre for Interdisciplinary Studies in Rhythm, Time and Motion at the University of Oslo. He also leads the fourMs Lab and co-founded the MishMash Centre for AI and Creativity. His work bridges musicology, psychology, and technology, focusing on embodied music cognition, human motion analysis, and creative applications of AI. Notably, he pioneered research on air guitar motion and human micromotion through projects like the Oslo Standstill Database . Educated at the University of Oslo (BA in Music and Mathematics, MA in Musicology) and Chalmers University of Technology (MSc in Applied IT), Jensenius holds a PhD in Music Technology from UiO. He has held visiting researcher roles at UC Berkeley, McGill University, and KTH. Leadership roles include Department of Musicology Head (2013–2016) and Steering Committee Chair for the International Conference on New Interfaces for Musical Expression (NIME, 2011–2022). Research interests span music-related body motion, AI in creative contexts, and open research practices. Key contributions include the Music Moves and Motion Capture MOOCs, the Musical Gestures Toolbox software, and monographs like Sound Actions and Sonic Design . His work emphasizes interdisciplinary collaboration, with projects addressing ventilation systems' acoustic properties and cell culture vibrational effects. Awards include the European Open Data Champion recognition. He advocates for open science and maintains extensive digital archives of research materials, emphasizing institutional web pages as critical research infrastructure.
Per-Arne Andersen is an Associate Professor at the Department of Information and Communication Technology within the University of Agder . His research focuses on artificial intelligence , reinforcement learning , Tsetlin machines , and deep learning , with applications in real-time strategy games , industrial environments , and IoT systems . Projects: RESTORE Research Groups: CAIR - Center for Artificial Intelligence Research, CIEM - Center for Integrated Crisis Management, Intelligent Mechatronics (iTron) His work explores safe and sustainable reinforcement learning , interpretable AI , and generative environment modeling . He has developed frameworks like CaiRL and CostNet for high-performance RL environments and goal-directed learning. Recent publications include advancements in Tsetlin automaton analysis , GNSS jamming classification , and road quality detection . Articles from 2025-2016 span machine learning , computer vision , and environmental modeling . He contributes to IEEE , Springer , and LNCS publications, with a focus on interdisciplinary AI applications in crisis management , cybersecurity , and industrial optimization .
Mark Brown is a Professor at the Department of Communication and Culture at BI Norwegian Business School. He holds a PhD from the University of Oslo (2008) and has extensive experience in academia since 1998, transitioning from business roles in sales and IT. His research focuses on the intersection of language, business, and environmental discourse, emphasizing sustainability communication, corporate social responsibility, and ethical stakeholder dialogue. He has published widely on topics such as corporate environmental rhetoric, Wendell Berry’s ecological philosophy, and the application of John Rawls’ political theory to business ethics. Education Background: PhD in Humanities (2008), University of Oslo MPhil in English (1997), University of Oslo Bachelor of Arts (1995), University of Oslo MSc in Chemical Engineering (1982), Imperial College London Research Interests: Combines linguistic analysis with environmental and business ethics, exploring how corporations construct discourses around sustainability and nature. Key themes include corporate greenwashing, stakeholder communication dynamics, and the rhetorical framing of ecological issues. Teaching: Specializes in intercultural communication at the undergraduate level, including courses on business cultures, ethical dilemmas, negotiation strategies, and presentation skills. His pedagogical work integrates digital learning tools and higher-level cognitive development in students. Grants/Advising: No explicit grants listed, but his research has been supported through institutional affiliations and academic collaborations. He has advised on educational initiatives like the Learning Lab Pilot Programme (2014–2015). Labs/Teams: Active in interdisciplinary research groups focusing on communication studies, sustainability, and ethics. Collaborates frequently with colleagues in humanities and business schools.
Professor Ole-Christoffer Granmo is a distinguished academic at the University of Agder, Norway, where he serves as Professor in the Department of Information and Communication Technology. He is the Founding Director of the Centre for Artificial Intelligence Research (CAIR) at the University of Agder, leading cutting-edge research in artificial intelligence and machine learning. Dr. Granmo obtained his master's degree in 1999 and his PhD in 2004, both from the University of Oslo. His academic journey has been marked by significant contributions to the field of AI, most notably the creation of the Tsetlin machine in 2018, for which he received the AI research paper of the decade award from the Norwegian Artificial Intelligence Consortium (NORA) in 2022. Professor Granmo's research primarily focuses on logical and causal world modeling across multiple modalities including images, sound, and natural language. His work spans logical auto-encoding, convolution, regression, transformer architectures, and reinforcement learning, all with the overarching goal of creating ultra-low-power artificial general intelligence through transparent logical learning and reasoning. His publications reveal a strong emphasis on interpretable AI systems, hardware implementations, and applications across diverse domains including cybersecurity, healthcare, social media analysis, and bioinformatics. AI Research Paper of the Decade (2022) - Norwegian Artificial Intelligence Consortium (NORA) Eight paper awards in machine learning Professor Granmo has coordinated over seven research projects and mentored 55+ master's students and nine PhD students. His leadership extends to co-founding the Norwegian Artificial Intelligence Consortium (NORA) and establishing two companies: Anzyz Technologies AS and Tsense Intelligent Healthcare AS. As an advisor at Literal Labs, he actively bridges academic research with practical industry applications, demonstrating his commitment to translating theoretical innovations into real-world solutions that address complex challenges across multiple sectors.
Monika Abels is an Associate Professor at UiT The Arctic University of Norway , affiliated with the Child development research group. Her work focuses on cross-cultural child development, infant socialization, emotion regulation, and the impact of digital technology on parental responsiveness. Research Interests : Child development, cross-cultural parenting, emotion understanding, hunter-gatherer societies, and fieldwork ethics. Labs/Teams : Member of the Barns utvikling (Child Development) research group at UiT. Recent Research Trends : Her publications highlight comparative studies across Norway, Tanzania, India, and sub-Saharan Africa, examining infant sleep, parental phone use, triadic interactions, and cultural differences in hidden emotion understanding. Collaborative work with African communities (San, Hadza) explores regulatory and ethical fieldwork challenges. Email : m.abels@uit.no
Lenka Garshol is an Associate Professor at the Department of Foreign Languages and Translation at the University of Agder. She serves as the subject coordinator for English in teacher education and is a member of the International Society for the Linguistics of English (ISLE) and the Learner Corpus Association (LCA) . Her research interests include: Language Acquisition Language Learning Multilingualism Code-switching and Code-mixing Game-based Learning She leads the Games and Active Learning Methods in Education (GAME) project, focusing on digital tools and games in language education. Garshol's publications emphasize English language teaching , error analysis in learner English, and the use of digital tools for pedagogy. Her collaborative work spans topics like artificial intelligence in language subjects , foreign language policy , and subject-verb agreement patterns . She contributes to editorial work for journals such as the Nordic Journal of Language Teaching and Learning (NJLTL) and has co-authored book chapters on teacher education reforms and digital competence development.
