Maj Schian Nielsen is a Senior Research Librarian at the University Library of the University of Agder. Her work focuses on multilingualism, crosslinguistic awareness, and German language pedagogy. She is affiliated with the research groups 'Media and Communication Studies' and 'Multilingualism in Society and Education (MUSE).' University of Agder Research Groups: Media and Communication Studies, MUSE Her research explores how multilingual awareness can enhance grammar instruction in German third-language (L3) teacher education programs across Denmark and Norway. Recent publications analyze curriculum structures, educational materials, and the integration of generative AI tools like ChatGPT in multilingual education contexts. Scientific output trends reveal a focus on: Cross-linguistic pedagogy L3 German acquisition Grammar teaching methodologies AI applications in language learning Teacher training for multilingual classrooms Systemic Functional Linguistics (SFL) frameworks She has not been publicly recognized with scientific awards listed in the available data.
Habib Ullah is an Associate Professor in Data Science at the Norwegian University of Life Sciences (NMBU), Norway, where he conducts research at the intersection of computer vision and machine learning. He is affiliated with the Institute of Data Science under the Faculty of Science and Technology. He has previously held academic positions at COMSATS University Islamabad, Pakistan, and the University of Ha'il, Saudi Arabia, and served as a postdoctoral researcher at The Arctic University of Norway. Educational Background: PhD in Information and Communication Technology (Computer Vision), University of Trento, Italy (2011–2015) MSc in Electronics and Computer Engineering, Hanyang University, South Korea (2007–2009) BSc in Computer Systems Engineering, NWFP University of Engineering and Technology, Pakistan (2002–2006) Habib Ullah's research is primarily focused on computer vision and machine learning, with applications in aquaculture, agriculture, and human behavior analysis. He investigates underwater fish feeding sounds using audio classification, develops zero-shot learning models for recognizing unseen classes, and applies deep learning to detect stress in salmon via skin dot patterns. He also explores AI-driven controlled environment agriculture, leveraging sensors and automation for optimal crop growth. His work emphasizes practical AI solutions for real-world challenges in environmental and biological domains. The recent publications highlight a strong trend in leveraging deep learning for zero-shot and semi-supervised learning, particularly in computer vision tasks such as sea ice classification, crowd anomaly detection, and agricultural monitoring. His research spans remote sensing, biomedical signal processing, and human activity recognition, demonstrating interdisciplinary versatility. The keywords reflect a focus on robust feature representation, knowledge transfer, and model generalization. Scientific Awards and Funding: Industrial PhD grant 'Advancing Controlled Environment Agriculture AI' from The Research Council of Norway (Project number 354125, 2 million NOK, 2024) Team member (Coordinator-Participant) in the Battery Cell Assembly Twin (BatCAT) project funded by Horizon Europe (7 mEuro, 2023–2027) Development of an AI-Based Image Analysis System for Monitoring Plant Status (Funding: 1.8 mNOK, starting 2025) Habib Ullah actively supervises PhD projects and contributes to academic service through editorial and organizational roles. He has served as an Associate Editor for IEEE Access, Guest Editor for MDPI Remote Sensing, and Editor of the Springer book Machine Learning Techniques and Sensor Applications for Human Emotion, Activity Recognition, and Support (ML-SHEARS) . He has also been a Track Chair and Program Committee Member for several international conferences, reflecting his leadership in the academic community. His research is supported by significant grants and collaborative projects, indicating strong institutional and international engagement. He is involved in multiple research teams and projects, including the BatCAT project on battery manufacturing and AI applications in controlled environment agriculture with RIFT LABS AS. His lab work integrates deep learning, sensor fusion, and data analytics for environmental and biological monitoring systems.
Norwegian University of Science and TechnologyNorway
Jon Atle Gulla is a Professor at NTNU and Director of the Norwegian Research Centre for AI Innovation (NorwAI). He holds academic leadership roles, including former Head of the Department of Computer Science and Informatics at NTNU. His expertise spans Semantics, Language Technology, Recommender Systems, and AI-driven innovation. He has nearly 150 international publications and advised over 100 students across MSc, PhD, and postdoctoral levels. Education: MSc in Computer Science (1988), PhD in Computer Science (1993) from Norwegian Institute of Technology (NTH) MSc in Linguistics (1995), University of Trondheim MSc in Management (Sloan fellowship, 2003), London Business School Research interests focus on Semantics and Language Technology applied to Recommender Systems, Information Retrieval, and Text Analysis. He explores AI-based innovations in digitalization and entrepreneurship, advising industry on AI adoption and commercialization. Notable projects include Big Data collaborations with DNB, RecTech for news recommendation, and Trondheim Analytica analyzing political texts/social media. Publications emphasize AI applications in news recommendation, political text analysis, and Scandinavian language models. His work addresses ethical AI, copyright implications, and cross-lingual NLP challenges. Awards: Member of the Royal Norwegian Society of Arts and Sciences. Advising/grants: Supervised 30 PhD students and 70 MSc students. Involved in startups like Fast Search & Transfer (acquired by Microsoft) and Mito.ai/Strise.ai. Active in reviewing for journals like Data & Knowledge Engineering and conferences like ACL. Labs/teams: Leads NorwAI, co-founder of INRA and NOBIDS workshops. Collaborates with industry and academia on AI-driven solutions.
Erik Velldal is a Professor in the Language Technology Group (LTG) at the Section for Machine Learning , Department of Informatics, University of Oslo . With over 25 years of experience in machine learning and natural language processing (NLP), he leads the SANT project focused on sentiment analysis and contributes to major research initiatives including MediaFutures , NorwAI , and Integreat (Norwegian Center for AI Research). His work bridges linguistic theory and computational methods, emphasizing semantic modeling and uncertainty detection. Research interests include sentiment analysis , language modeling , event extraction , and machine learning applications to NLP. Recent publications address cross-domain sentiment classification , generative event analysis , and multilingual model adaptation . He co-developed the Norwegian Review Corpus (NoReC) and Norwegian Anaphora Resolution Corpus (NARC) , foundational resources for Norwegian NLP. His projects often involve collaboration with international institutions, reflected in publications at venues like ACL, COLING, and EMNLP. Current efforts focus on entity-level sentiment analysis , diagnostic datasets for Norwegian , and evaluating compositional generalization in language models. No public record of scientific awards or part-time appointments exists.
Swati Aggarwal is a Professor in Artificial Intelligence at the Faculty of Logistics, Molde University College (HiMolde). Her research focuses on AI applications in healthcare, ethics, cognitive development, and neural networks. She holds a PhD in Neutrosophic Neural Networks, a Master's in Information Technology, and a Bachelor's in Computer Science and Engineering. Previously, she was a Marie Curie Postdoc Fellow at NTNU, working on AI models for cognitive assessment in infants (AIM_COACH project). Research Interests - AI in Health/Medicine - Ethics in AI and Societal Impact - EEG/BCI for Cognitive Assessment - Machine Learning and Deep Learning Publications Her recent work spans AI ethics, BCI applications, adversarial attacks, and healthcare diagnostics. Notable contributions include EEG-based infant perceptual monitoring (2025) and malaria detection via EfficientNet (2023). She also explores cross-lingual adversarial robustness and blockchain in hospitality systems. Labs/Teams - ABC-AI: Applied, Basic, and Conscientious AI Group - Virtual Technologies and Learning Research Group
Kristin Soraya Batmanghelichi is a Professor in Middle East Studies at the Department of Culture Studies and Oriental Languages (IKOS), Faculty of Humanities, University of Oslo. She is a feminist scholar with a PhD from Columbia University and has held academic positions at Leiden University, Columbia University, and Princeton University. Her research focuses on gender, sexuality, cyberactivism, and political Islam in Iran and the broader Middle East. PhD in Iranian Studies, Columbia University (2013) MA in Human Rights and MA in Middle Eastern Studies, Columbia University (2004, 2007) Postdoctoral Research Fellow, Institute of Religion, Culture and Public Life (IRCPL), Columbia University (2016–2017) Visiting Lecturer, Leiden University (2014–2016) Her research interests include feminist theory, postcolonial studies, cyberactivism, women's movements, and the politics of class, sex, and race in the Middle East. She explores how gendered public spaces and digital platforms shape resistance and identity in Iran. Her work bridges activism and academia, particularly through feminist engagements with digital culture and diasporic politics. Her recent publications and monograph Revolutionary Bodies: Technologies of Gender, Sex, and Self in Contemporary Iran (2021) examine the intersections of technology, gender, and selfhood in Iran. Articles span topics such as cyberfeminism, government morality, and feminist challenges on social media, reflecting a strong focus on digital publics and feminist epistemology in the Iranian context. Scientific Awards and Fellowships: Independent Research Fund Denmark (2023–2026), Co-PI President's Global Innovation Fund, Columbia University (2017) Whiting Foundation Dissertation Fellowship (2011–2012) Columbia University Jackson Fellowship (2008–09) Foreign Language and Area Studies Fellowship (2006) Multiple research and travel fellowships from Columbia University and the Houtan Foundation She has supervised master’s theses and taught courses such as Iran in the World , Gender & Revolutions , and Fieldwork in the Middle East . She is Co-PI on a major Danish-funded project on diasporic Iranian politics and digital publics (2023–2026). She has co-organized international conference series on populism and pluralism across Amman, Tunis, Paris, and New York. She is an original member of the Theory of the Margins Collective in Oslo and founder of the Digging Collective , both of which support critical and interdisciplinary feminist scholarship.
Norwegian University of Science And TechnologyNorway
Georgios Neokleous is a Professor of English in the Department of Teacher Education at the Norwegian University of Science and Technology (NTNU), within the Faculty of Social and Educational Sciences. He holds a PhD in Education from Saint Louis University (2014), focusing on home language use in EAL classrooms. His career began as an EFL/ESL teacher, with extensive experience across Europe and the U.S., and he has developed specialized courses for diverse learner groups. Neokleous’ research emphasizes multilingualism, translanguaging pedagogy, and inclusive literacy practices in linguistically diverse classrooms. Education: PhD in Education, Saint Louis University, 2014 Masters and Bachelor’s degrees (implied, not explicitly stated) Research Interests: Neokleous explores the integration of students’ home languages in EAL settings, translanguaging as a pedagogical tool, and assessment strategies in multilingual environments. His work bridges theory and practice, addressing challenges in teacher education and classroom diversity. Recent trends in his publications highlight cross-national comparisons (e.g., Norway-Cyprus studies), innovative teaching methodologies, and the role of technology in modern classrooms. Advising & Grants: Supervises students at BA, MA, and PhD levels. Collaborates with international researchers like Anna Krulatz and Sviatlana Karpava. Active in organizing academic events, including TESOL International and ECER conferences. Labs/Teams: Engaged in collaborative research groups focused on multilingual education, such as the ‘Learning and Teaching English in the Multilingual Classroom’ initiative. His work often intersects with institutions like the University of Cyprus and Multilingual Matters publishing.
Hilde Fiva Buzungu is an Associate Professor in the Department of Social Work, Child Welfare and Social Policy at Oslo Metropolitan University, Faculty of Social Sciences. Her work bridges social anthropology, applied linguistics, and public policy, with a strong focus on language and communication in welfare services for minority language speakers. Her research interests include: Language discordance and interpreter-mediated communication in social work and healthcare Multilingualism and migration Professional practices in child welfare and public administration Interpreter training and quality assurance Human rights and minority inclusion Intersectionality in social services Buzungu's recent publications (2020–2024) reveal a consistent focus on the challenges of language access in public institutions such as NAV, child welfare, and hospitals. Her work critically examines how language barriers affect service delivery, professional decision-making, and equity. She investigates systemic issues in interpreter availability, quality, and integration, particularly during crises like the Ukrainian refugee influx. Her research combines ethnographic methods with policy analysis, emphasizing the 'space between' where meaning is negotiated across languages and cultures. She has contributed extensively to both academic and public discourse, publishing in journals like Nordic Social Work Research and Kritisk juss , as well as producing key reports for governmental bodies like Integrerings- og mangfoldsdirektoratet and Oslo University Hospital. Her book Language Discordant Social Work in a Multilingual World: The Space Between (2023) synthesizes her core themes. Buzungu actively disseminates her findings through public lectures, media engagement, and policy forums, advocating for improved language services in the Norwegian public sector. She is affiliated with the research group on Professional Qualification and Professional Practices in Social Work and Child Protection.
Gabriele de Seta is a researcher at the University of Bergen's Department of Linguistic, Literary and Aesthetic Studies, leading the ALGOFOLK project funded by the Trond Mohn Foundation (2024-2028). A sociologist by training with a PhD from Hong Kong Polytechnic University, he previously served as postdoctoral fellow at Academia Sinica (Taipei) and on the ERC-funded Machine Vision in Everyday Life project. Department of Ethnology, Academia Sinica (postdoctoral fellow) Department of Linguistic, Literary and Aesthetic Studies, University of Bergen (researcher) His research focuses on algorithmic folklore, synthetic ethnography, and Chinese digital culture. He examines how digital technologies and creative practices mutually shape each other, particularly in China's sociotechnical landscape. Key areas include platform governance, machine vision, algorithmic accountability, and digital vernaculars. Recent publications analyze TikTok/Douyin's infrastructural role, deepfakes, QR codes as globalized gateways, and Chinese internet vulgarity. His work combines theoretical frameworks from STS, media studies, and digital anthropology with fieldwork on Chinese digital practices. Trond Mohn Foundation Starting Grant ERC-funded research As educator, he designed the Machine Vision module for Bergen's Critical Approaches to Technology and Society course and taught Key Theories in Digital Culture. He supervises multiple MA/PhD students including co-supervision of Hanna Lauvli. Through his blog and podcast, he promotes public engagement with digital research.
Norwegian University of Science And TechnologyNorway
Nicola Paltrinieri is a Professor of Risk Assessment at the Department of Mechanical and Industrial Engineering, NTNU (Norway), and an Adjunct Professor at the University of Bologna (Italy). His expertise spans risk assessment, hydrogen technologies, process safety, and data-driven safety management. He holds Chartered Engineer and Chartered Scientist certifications and has served on editorial boards for journals like Safety Science and Journal of Risk Research . Education: PhD in Environmental, Safety and Chemical Engineering (University of Bologna, 2012) Master’s in Chemical and Process Engineering (University of Bologna, 2008) Research Interests: Focuses on hydrogen infrastructure safety, Natech accident analysis, risk-based inspection strategies, and AI integration in safety systems. His work emphasizes sustainable energy transitions and mitigating risks in emerging technologies like hydrogen. Key Projects (2022-2026): H2Glass : Decarbonizing glass and aluminum sectors via hydrogen HyInHeat : Hydrogen technologies for industrial heating HYDROGENi : Norwegian research center for hydrogen/ammonia Awards: Onsager Fellowship (2016–2021) Frank Lees Medal (2012) for safety-related publications Grants & Leadership: Head of NTNU Energy Team Hydrogen, coordinator for EU-funded projects like SUSHy , and active in international risk committees (e.g., EFCE, ESRA). His work bridges academia and industry, with over 8 PhD examinations supervised. Labs/Teams: Leads the NTNU Energy Team Hydrogen and collaborates on initiatives like SH2IFT-2 for safe hydrogen fuel handling. His research group focuses on AI-driven risk analysis and hydrogen infrastructure resilience.
Andrei Kutuzov is an Associate Professor in the Language Technology Group (LTG) within the Department of Informatics at the University of Oslo. He serves as the Norwegian on-site manager of the High-Performance Language Technology (HPLT) project and has made significant contributions to computational linguistics and natural language processing. His research primarily focuses on computational linguistics and natural language processing, with specialized expertise in semantic change detection, diachronically aware language models, distributional semantics, and large language models. Kutuzov has been instrumental in developing Norwegian language resources including NorBERT, NorELMo models, and the very large-scale NORA.LLM generative models. He created WebVectors, a web service for exploring neural distribution models for Norwegian and English texts. Analysis of his recent publications reveals a strong focus on semantic change modeling, multilingual dataset development, and Norwegian language technology. His work spans from theoretical linguistic analysis to practical applications in language modeling, with significant emphasis on low-resource and Nordic languages. Kutuzov's research demonstrates a consistent trajectory toward improving language models' understanding of semantic evolution and developing robust evaluation frameworks for Norwegian language processing. Norwegian Artificial Intelligence Research Consortium (NORA) award as Distinguished Early Career Researcher (2022) Kutuzov teaches several advanced courses including IN5550 - Neural Methods in Natural Language Processing (2019-2025) and IN3050 - Introduction to Artificial Intelligence and Machine Learning (2024-2025). He has received research funding through the HPLT project which focuses on developing high-performance language technologies. His laboratory work centers around the Language Technology Group at UiO, where he collaborates on developing Norwegian language resources and models, with particular emphasis on diachronic semantic analysis and multilingual capabilities.
Shaukat Ali serves as Research Professor and Head of the Department of Engineering Complex Software Systems at Simula Research Laboratory, concurrently holding the title of Chief Research Scientist. His academic leadership drives innovation at the critical nexus of quantum computing, artificial intelligence, and software engineering, with concentrated expertise in verification, validation, and testing methodologies for complex systems including cyber-physical infrastructures and autonomous robotics. His primary research domains encompass: Verification and Validation Search-Based Software Engineering Autonomous Driving Systems Cyber-Physical Systems Engineering Digital Twin Technologies Quantum Software Engineering Analysis of recent publications (2024-2025) reveals a decisive trend toward quantum-AI convergence in software engineering, particularly through quantum software testing frameworks and AI foundation models applied to cyber-physical systems. His work systematically addresses noise mitigation in quantum hardware, uncertainty quantification in adaptive robotics, and novel testing paradigms using vision-language models for industrial robotics—demonstrating both theoretical rigor and industrial applicability. As department head, Ali spearheads strategic research directions in complex software systems, fostering cross-disciplinary collaboration while actively shaping quantum software engineering through workshops like QAI2024 and Q-SANER 2024. His invited presentations at venues including JYU Quantum Electronics and EU-Korea Quantum Forums underscore his influence in defining emerging research landscapes.
Crina Damsa is a Professor at the Department of Education, University of Oslo. Her research focuses on collaborative learning, interdisciplinary learning, and the role of digital technologies (including AI) in knowledge work and education. She leads projects like Unpacking collaboration: Multimodal analysis and combined method designs and Learning Ecologies in Higher Education , and is involved in research groups such as HEDWORK and LIDA. PhD in Educational Research, University of Oslo (2013) MSc in Learning Design and Technology, Utrecht University (Netherlands) BA in Language and Literature, Babes-Bolyai University (Romania) Her work examines sociocultural and sociomaterial aspects of learning, with a focus on student-centered environments, design-based research, and multimodal learning analysis. She supervises PhD students and contributes to methodological advancements in learning sciences. Editorial roles: Area Editor for Learning in Context , member of editorial boards for journals like Journal of the Learning Sciences and Frontline Learning Research Projects: Academic Hospitality in Interdisciplinary Education (AHIE) , Digital Integration of Video Assessment (DIVA) , Digital Tracing of Collaborative Learning (DigiT) , Global Teacher Education (GatherED)
Jan Buts is an Associate Professor at the Sustainable Health Unit within the Faculty of Medicine at the University of Oslo, specializing in the intersection of translation theory, medical humanities, and corpus linguistics with a focus on sustainable health and development discourses. His academic background includes: Linguistics and Literature studies at KU Leuven (Belgium) PhD in Translation and Intercultural Studies from the University of Manchester (UK) Postdoctoral research at Trinity College Dublin (Ireland) Assistant Professor position at Boğaziçi University (Turkey) Buts' research centers on corpus-assisted discourse analysis applied to translation theory, medical humanities, and sustainable development. He actively develops the Sustainability and Health Corpus to analyze how language shapes public health narratives, gender discourses in development aid, and conceptual frameworks around sustainability. His work bridges linguistic analysis with critical perspectives on social justice and health equity. Analysis of his recent publications reveals a strong trajectory toward integrating corpus linguistics with medical humanities and sustainable development goals. Key trends include examining gendered vulnerabilities in policy discourse, translation's role in knowledge dissemination for sustainability, and digital media's impact on health communication – all characterized by methodological innovation in corpus construction and conceptual analysis. His scientific recognition includes: Runner-up for the Martha Cheung Award (2023) Buts serves on the executive council of IATIS (International Association for Translation and Intercultural Studies) and leads multiple research initiatives including the SHE Corpus project. His grant activities focus on interdisciplinary collaborations between translation studies and medical humanities, particularly through projects like KNOWIT (Knowledge in Translation) and MEDRA (Medicalisation of Democratic Rights in Abortion debates). He directs the Sustainable Health Unit, fostering cross-disciplinary teams that combine linguists, medical researchers, and public health experts to advance data-driven critical analysis of health and sustainability discourses through innovative corpus methodologies.
Unn Røyneland is a Professor of Scandinavian Linguistics and Multilingualism at the University of Oslo 's Faculty of Humanities . She is affiliated with the Center for Multilingualism in Society Across the Lifespan (MultiLing) and has been a key figure in Norwegian language policy and standardization efforts, including the Nynorsk 2011 orthographic revision . Current Research Focus: Multilingual and multilectal practices on social media Dialect acquisition among migrants Dialect levelling and language attitudes Language and embodiment Multiethnolectal speech styles Language policy and planning Ongoing Projects: Multilectal Literacy in Education (2020-2025) (RCN-funded, Co-PI) Multilectal Practices on Social Media (2020) (with Øystein A. Vangsnes) Urban Talk and Text (MultiLing Core-group project, 2021) AquaAurora (2021, UiT The Arctic University of Norway) Her scholarly work spans 15+ years of research output, with recent publications analyzing: Language activism and social justice (2024) Multilingualism across the lifespan (2022) Migration-induced dialect acquisition (2020) Youth multilingual practices in digital spaces (2018) Nynorsk standardization processes (2016) Multiethnolectal speech patterns (2008-2010) As Co-Chief Editor of the LME Linguistic Minorities in Europe Online series at De Gruyter, she continues shaping academic discourse in multilingualism studies.
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