جستجوی استاد راهنمای دانشگاهی

Lilja Øvrelidمشاهده پروفایل

استاد

• Natural Language Processing
• Machine Learning
• Computational Linguistics
• +۳ مورد دیگر

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.

Daniel Hershcovichمشاهده پروفایل

استادیار

• Natural Language Processing
• Cross-Cultural NLP
• Computational Linguistics
• +۷ مورد دیگر

Daniel Hershcovich is a Tenure-Track Assistant Professor at the Natural Language Processing section of the Department of Computer Science, University of Copenhagen. His research focuses on cross-cultural adaptation of language models, integrating human values into AI systems, and evaluating AI's real-world impact in domains like law, literature, and food culture. Research Themes Cultural value alignment in LLMs Multimodal models for accessibility Cross-cultural recipe and food knowledge Historical Scandinavian text analysis Ethical AI and bias mitigation Scientific Recognition SAC Highlight Award (ACL 2025) Outstanding Paper Award (ACL 2017) Advising & Grants : Mentions collaborations on multiple EMNLP/ACL/CoNLL papers. Leads Independent Research Fund Denmark project ALIKE (2025-2027) and contributes to Innovation Fund Denmark's XHAILe (2025-2028). Co-organized SemEval 2019 and CoNLL 2019/2020 shared tasks. Labs & Teams : Leads the CoAStaL research group. Collaborates with teams at IBM Research Haifa, University of Manchester, and Wuhan University of Science and Technology.

• Multilingual Education
• Pedagogical Translanguaging
• Language Acquisition
• +۳ مورد دیگر

Agnieszka Malgorzata Moraczewska is Assistant Professor at University of Inland Norway's Department of Scandinavian Languages and Literature. Her research examines how students' and teachers' linguistic repertoires contribute to development of subject knowledge, language skills, and identity formation in multilingual educational contexts. Research specialties: Pedagogical translanguaging strategies Cross-linguistic awareness development Bilingual instructional scaffolding Multilingual classroom practices Epistemic inclusion frameworks She holds a master's degree in Didactics of Cultural and Language Subjects from Inland University College (2017) and previously served as lecturer in Norwegian at the same institution (2016-2019), specializing in Norwegian as a second language and language didactics. Her work spans teacher education programs and Norwegian language courses for international students.

Anh Nguyen Nguyen Ducمشاهده پروفایل

استاد

• Software Startup
• Software Processes and Practices
• Software Engineering Education
• +۶ مورد دیگر

Dr. Anh Nguyen Nguyen Duc serves as Full Professor at the University of South-Eastern Norway and the Norwegian University of Science and Technology (NTNU), with visiting scholar positions across Norwegian, Finnish, Italian, and Vietnamese institutions. His academic work centers on software engineering with emphasis on human, process, and ecosystem dimensions of development. Education: MS: Technical University of Kaiserslautern and Blekinge Institute of Technology (double degree) PhD: Norwegian University of Science and Technology Research fingerprint analysis reveals dominant focus on software startups (27%), supplemented by software processes (6%) and engineering education (5%). His expertise spans cybersecurity, global software development, business-driven methodologies, and software analytics, consistently addressing human-organizational challenges in dynamic development environments. Recent publications (2024-2025) demonstrate accelerating integration of AI in software engineering, particularly through large language models for startup assistance, generative AI adoption frameworks, and autonomous agent systems. Concurrently, he investigates risk management in software ventures and fairness in educational ML applications, reflecting interdisciplinary work bridging software engineering with business, AI ethics, and educational technology.

Egor Kostylevمشاهده پروفایل

دانشیار

• Foundations of AI
• Symbolic AI
• Description Logics
• +۹ مورد دیگر

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.

• Sustainability Communication
• Business Ethics
• Environmental Discourse Analysis
• +۳ مورد دیگر

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.

Niina Vuolajärviمشاهده پروفایل

استادیار

• Migration Studies
• Sex Work
• Critical Trafficking Research
• +۶ مورد دیگر

Niina Vuolajärvi is an Assistant Professor in International Migration at the London School of Economics and Political Science's European Institute. Her interdisciplinary research bridges migration studies, feminist theory, and socio-legal analysis with particular focus on sex work, trafficking, and border policies. She holds a Ph.D. in Sociology from Rutgers University (2021) and has previously held research positions at the New School's Zolberg Institute of Migration and Mobility, Rutgers University's Institute for Research on Women, and Princeton University's Program in Gender and Sexuality Studies. Her research expertise spans migration and border studies, sex work and critical trafficking research, law and policy analysis, feminist studies, and qualitative methodologies. Vuolajärvi's work is characterized by its ethnographic depth and policy relevance, particularly examining how the so-called 'Nordic Model' of criminalizing sex work clients intersects with immigration controls. Her current book project, 'Sex Work, Migration and the 'Nordic Model',' draws on extensive three-country research including 210 interviews across Sweden, Norway, and Finland. Vuolajärvi's publications reveal consistent engagement with the lived experiences of migrant sex workers, the unintended consequences of anti-trafficking policies, and the racialized dimensions of border enforcement. Her work demonstrates methodological sophistication through extensive ethnographic fieldwork and innovative approaches combining academic research with artistic and journalistic collaborations, as evidenced by her award-winning 'Deported' project. Scientific Awards: Law and Society Association Article Price Honorable Mention (2020) American Sociological Association Sexualities Section Best Graduate Student Paper Award (2019) Visual Journalism of the Year Award (2017) Mellon/ACLS Dissertation Fellowship Fulbright Foundation support American-Scandinavian Foundation Award Scandinavian Research Council for Criminology award Vuolajärvi has secured significant research funding from foundations including the Kone Foundation (for the 'Deported' project), Mellon/ACLS, and Fulbright Foundation. Her policy-relevant research has been translated into multiple languages (Spanish, German, French, Italian, Swedish, Norwegian, and Finnish) through the LSE Centre for Women, Peace and Security. She maintains strong connections with feminist, migrant, and sex worker rights movements, bringing over a decade of activist experience to her academic work.

Ole-Christoffer Granmoمشاهده پروفایل

استاد

• Machine Learning
• Artificial Intelligence
• Tsetlin Machines
• +۷ مورد دیگر

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.

• Child Development
• Parenting Practices
• Cross-Cultural Psychology
• +۵ مورد دیگر

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

Rianne Conijnمشاهده پروفایل

استادیار

• Learning Analytics
• Human-Technology Interaction
• Artificial Intelligence
• +۶ مورد دیگر

Rianne Conijn is an assistant professor in the Human-Technology Interaction group at Eindhoven University of Technology (TU/e), Netherlands. Her research bridges data-driven methodologies (machine learning, statistical modeling) with human-centered design to enhance learning analytics, explainable AI, and writing process analysis. She holds a joint PhD (cum laude) from Antwerp University and Tilburg University, and an MSc (cum laude) in Human-Technology Interaction from TU/e. Academic Background: MSc (2015, TU/e, cum laude), PhD (2020, Antwerp University & Tilburg University, cum laude). Research Focus: Learning analytics, keystroke logging, explainable AI for education, data dashboards, and self-regulated learning dynamics. Teaching: Courses in Advanced Research Methods, Human-AI Interaction, Behavioral Research Methods, and AI ethics in education. Her recent publications explore parallel language planning in writing, longitudinal self-regulated learning strategies, and generalizability of academic performance prediction models. She leads an NWO Veni project on Human-Centered AI in education, emphasizing tailored explanations for student-AI collaboration. Scientific awards include cum laude distinctions for her MSc and PhD, and the NWO Veni grant. Collaborative work spans institutions in the Netherlands, Norway, and the U.S., with applications in intelligent tutoring systems and ethical AI deployment in exams. Key trends across her work: integration of machine learning with educational theory, leveraging keystroke data for cognitive process insights, and prioritizing actionable, explainable AI systems for student support. Publications span journals like the Journal of Experimental Psychology: General , Computers and Education , and IEEE Transactions on Learning Technologies . Scientific Awards: NWO Veni grant for Human-Centered AI in education Cum laude for MSc and PhD Grants & Collaborations: National Science Foundation grants (2016868, 2302644) for biometric feedback in writing UK Research and Innovation grant (ES/W011832/1) for real-time AI scaffolding TU/e Boost! Program grant for self-regulated learning analysis Labs & Teams: EAISI Foundational (Eindhoven AI Systems Institute) Human Technology Interaction group at TU/e Collaboration with Norwegian Reading National Center (University of Stavanger) Project teams for Waterproof ITS and ProWrite grants

• Functional Analysis
• Artificial Intelligence
• Foundations of Computational Mathematics
• +۷ مورد دیگر

Anders C. Hansen is Professor of Mathematics at the University of Cambridge (Faculty of Mathematics, Department of Applied Mathematics and Theoretical Physics) and Professor II at the University of Oslo. He leads the Applied Functional and Harmonic Analysis group and holds a Royal Society University Research Fellowship. His research bridges pure mathematics and cutting-edge applications in AI, computational harmonic analysis, inverse problems, and compressed sensing. Education: PhD from the University of Cambridge, MA from UC Berkeley, and BA from the Norwegian University of Science and Technology. Research Interests: Hansen's work centers on foundational challenges in computational mathematics, including the Solvability Complexity Index hierarchy for classifying computational problems, instability phenomena in deep learning, and theoretical advances in compressed sensing. His group develops rigorous frameworks for high-dimensional data analysis, medical imaging, and AI safety, often exposing paradoxes in algorithmic reliability. Publication Trends: Recent articles focus on the limits of deep learning (e.g., Smale's 18th problem, instability in image reconstruction), mathematical foundations of AI (trustworthiness, feature selection, LLMs), and advanced compressed sensing (asymptotic incoherence, spectral computations). His work consistently intersects functional analysis with computational feasibility. Awards: PROSE Award Finalist (2022) Whitehead Prize (2019) IMA Prize in Mathematics and Applications (2018) Leverhulme Prize (2017) Royal Society University Research Fellow (2012) Advising & Leadership: Hansen has supervised 17 PhD students and 8 postdocs. He leads the Applied Functional and Harmonic Analysis group, coordinating interdisciplinary projects in mathematical data science. His editorial roles include SIAM Journal on Imaging Sciences and Proceedings of the Royal Society A .

• Artificial Intelligence
• Machine Learning
• Recommender Systems
• +۴ مورد دیگر

Özlem Özgöbek is an Associate Professor at the Department of Computer Technology and Informatics, Norwegian University of Science and Technology (NTNU). Her research spans artificial intelligence, machine learning, and recommender systems with a focus on privacy, fake news detection, and educational technology. NTNU - Department of Computer Technology and Informatics Her work explores multimodal fake news detection, privacy implications in recommender systems, and technology-enhanced classroom interaction. Recent publications analyze digital education trends and classroom tools. Özgöbek collaborates with international researchers and contributes to news recommendation workshops. Her projects address ethical AI, environmental sustainability, and real-time information processing.

Vibeke Grøverمشاهده پروفایل

استاد

• Language and reading comprehension in children
• Language minority children's learning
• Second language acquisition
• +۳ مورد دیگر

Vibeke Grøver is a Professor at the Department of Pedagogical Research, University of Oslo. Her work focuses on language and reading comprehension development for language minority children, with a emphasis on bilingual education, shared book reading interventions, and sociolinguistic factors influencing literacy. Education: Dr.polit., University of Oslo (1992) Master in Educational Psychology, University of Oslo (1982) Elementary School Teacher, University of Oslo (1977) Research Interests include second-language acquisition, early literacy for dual-language learners, home literacy environments, and teacher talk features in preschool settings. She leads projects like Teaching for text comprehension and has contributed to the DEAL (Development, Equality, and Literacy in Learning Contexts) research group. Article Trends show longitudinal studies on bilingual profiles, shared reading interventions, code-switching dynamics, and neighborhood demographic impacts on vocabulary. Key themes include scaffolding language minority students, cross-cultural comparisons (e.g., Chinese-Norwegian families), and teacher-student interaction patterns in multilingual preschools. Leadership Roles include Dean of the Faculty of Educational Sciences (2009–2012) and advisory positions for the Peder Sather Center at UC Berkeley (2012–2014). Research visits span Harvard, UC Berkeley, NYU, and East China Normal University.

• Pedagogy
• Early Childhood Education
• Discourse Analysis
• +۷ مورد دیگر

Jarmila Bubikova-Moan is an Associate Professor at Oslo Metropolitan University, affiliated with the Faculty of Education and International Studies and the Department of Primary and Secondary Teacher Education. She holds teaching and supervising responsibilities in pedagogy and serves as Head of Studies in her area of responsibility. Prior to her current role, she was an Associate Professor and Head of Studies at Kristiania University College and a Senior Researcher at NIFU. Her educational background includes a PhD in Educational Sciences from the University of Oslo, an MA in Applied Linguistics from the University of Melbourne, and an MPhil in European Literature from the University of Cambridge. Her research centers on discourse-analytic approaches to early childhood education, with a strong focus on multilingualism, argumentation, and critical thinking. She is actively involved in research groups such as Cultural Diversity and Multilingualism in a Global Perspective and Language and Learning Environment in Early Years - ECEC to Primary School (SAMBA) . Her work explores how children develop argumentative competence, engage in critical thinking through literature and news, and how multilingual learners are supported in early education. The recent publications highlight a consistent trend in early childhood argumentation, critical thinking development, and multilingual education. Her work spans qualitative, discourse-based, and systematic review methodologies, often with interdisciplinary applications in environmental education, teacher training, and family engagement. She has contributed significantly to educational research through numerous scientific publications, research reports, and dissemination activities. Notable projects include Critical thinking in primary education (KriT) , which develops models using children’s literature and news, and evaluations of national strategies such as Språkløyper and Ungdomstrinn i utvikling . Jarmila Bubikova-Moan has supervised students and collaborated widely with researchers across Norway and internationally. She has also been involved in policy-related research and advisory roles in the Norwegian state administration, particularly in education and integration policy. Her lab and team affiliations are embedded within her research groups at OsloMet, where she leads and contributes to collaborative, interdisciplinary projects aimed at improving early educational practices and equity.

Arild Michel Bakkenمشاهده پروفایل

دانشیار

• Literacy Education
• Artificial Intelligence in Education
• Reading Assessment
• +۲ مورد دیگر

Arild Michel Bakken is an Associate Professor at the National Centre for Reading Education and Research, Faculty of Arts and Education, University of Stavanger, Norway, a position he has held since 2018. Previously, he taught French and Norwegian in Belgium (2016–2018) and was a Research Fellow in French Literature at the University of Oslo (2015–2016). Education: PhD in French Literature (co-tutelle), University of Paris-Sorbonne and University of Oslo (2015) MA in French Literature, University of Paris-Sorbonne (2010) BA in Modern Literature, Paul Valéry University (2006) His research spans literacy education, AI applications in learning, and reading assessment technologies. He leads major projects including the Erasmus+-funded AILIT (developing AI platforms for literacy) and the NRC-supported Adaptvurder (adaptive reading tests). His work integrates recommender systems, machine translation, and psychometric modeling to enhance educational outcomes. Bakken’s publications transition from early expertise in Mallarmé’s poetry (using hermeneutic/rhetorical frameworks) to contemporary focus on literacy technology. Recent articles emphasize adaptive assessments, AI-driven pedagogy, and equitable educational tools. He contributes to national education initiatives as a developer of reading screening tests for Norway’s Directorate of Education and is active in Stavanger AI Lab . He also edits the Nordic Journal of Literacy Research and conducts professional workshops for teachers.