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Robert Jenssen is a Professor in the Machine Learning Research Group at UiT The Arctic University of Norway and serves as the Director of Visual Intelligence , an 8-year Research Council of Norway-funded SFI center. His research focuses on solving societal challenges in healthcare, marine mapping, energy, and Earth observation through collaborations with industry and public stakeholders. Director, Visual Intelligence (SFI) Center Professor, UiT Adjunct Professor, Pioneer Centre for AI (University of Copenhagen) and Norwegian Computing Center His methodological expertise spans neural networks, information-theoretic learning, self-learning, and explainable AI (XAI). Recent work emphasizes multimodal learning, uncertainty estimation, and medical image analysis. Scientific awards include: Best Paper, Pattern Recognition Letters (2024) Dissertation Award, Norwegian AI Society (2023) Best Paper, Color and Visual Computing Symposium (2022) IEEE GRS Society Letters Prize (2013) Prize for Young Researchers, University of Tromsø (2007) He contributes to international leadership as a member of the Scientific Advisory Board (SAB) for the Max Planck Institute for Intelligent Systems, France's SequoIA AI Excellence Cluster, and Denmark's DIREC center.

• Machine Learning
• Deep Learning
• Neural Networks
• +7 more

Roswitha Skare is a Professor of Documentation Science at the Department of Language and Culture, UiT The Arctic University of Norway, within the Faculty of Humanities, Social Sciences and Teacher Education. She is actively engaged in research and teaching, focusing on documentation studies, public libraries, archives, museums (LAM sector), digitalization, and film history. Her research interests include: Documentation and document theory Paratext and digital documents Public libraries and their role in society Libraries and social media Migration and refugee services in libraries Film history, especially silent films and early documentaries Cultural memory and Sámi cultural resilience Institutional convergence in cultural policy Her recent publications (2019–2025) reveal a strong focus on public libraries during and after the Covid-19 pandemic, the role of libraries in supporting immigrants and refugees, theoretical developments in document studies, and historical film analysis—particularly Robert Flaherty’s Nanook of the North . She frequently collaborates with scholars such as Andreas Vårheim, Noah Lenstra, and Sigrid Stokstad. Her work appears in journals like Journal of Documentation , Library & Information Science Research , and Proceedings from the Document Academy . Roswitha Skare teaches courses such as: MDV-1001: Multimediale dokumenter: Historie, teori og analyse MDV-1203: Bibliotek og formidling MDV-1207: Dokumentinstitusjoner og digitalisering MDV-1206: Prosjektoppgave i bibliotek- og dokumentasjonsvitenskap She supervises bachelor’s, project, and master’s students in library and documentation science. She is a member of the research group Engaging Conflicts in a Digital Era (ENCODE) and participates in projects such as LAMCOM – Libraries, archives, and museums in the community and SAMCOM - Sámi cultural centers as community and cultural resilience infrastructure , which explore the societal roles of cultural institutions and Indigenous resilience. No scientific awards are listed in the provided text.

• Documentation Studies
• Document Theory
• Paratext
• +12 more

Johan Gustav Bellika is a Professor at the Department of Clinical Medicine, UiT The Arctic University of Norway, based in Tromsø. His work bridges clinical medicine with health informatics, focusing on practical applications that improve healthcare delivery and patient outcomes. Current Position: Professor, Department of Clinical Medicine Institution: UiT The Arctic University of Norway Location: Tromsø, Norway Contact: johan.gustav.bellika@uit.no Professor Bellika's research spans several critical areas in modern healthcare. His primary focus is on health informatics with particular emphasis on medical data privacy, electronic health records, and the application of artificial intelligence in clinical settings. He has made significant contributions to understanding chronic pain management through technology, primary care research networks, and patient-centered care models. His work often involves large population studies such as the Tromsø Study, examining how digital health tools impact healthcare utilization and patient outcomes. His research demonstrates a consistent thread connecting technological innovation with practical clinical applications. Bellika has been instrumental in developing privacy-preserving architectures for healthcare data analysis, which enable researchers to gain insights from sensitive health information without compromising patient privacy. His work on federated learning frameworks represents cutting-edge approaches to analyzing medical data while maintaining strict privacy controls. Health Informatics and Medical Data Privacy Chronic Pain Management through Technology Primary Care Research Networks (PraksisNett) Electronic Health Records and Clinical Decision Support Patient-Centered Digital Health Solutions Federated Learning Applications in Healthcare Professor Bellika's publication record shows a strong trend toward interdisciplinary research that combines clinical medicine, computer science, and public health. His recent work increasingly focuses on the intersection of artificial intelligence and healthcare, particularly how machine learning can be applied to chronic conditions while maintaining rigorous privacy standards. The geographical scope of his research extends across Norway with particular emphasis on Northern Norwegian populations, providing valuable insights into healthcare delivery in Arctic and remote regions. His collaborative approach is evident through numerous co-authored publications with researchers across multiple institutions and disciplines. While specific awards aren't detailed in the available information, his extensive publication record in reputable journals suggests recognition within his field. Professor Bellika has been actively involved in several major research initiatives including the Tromsø Study and PraksisNett, Norway's nationwide practice-based research network. His work on privacy-preserving architectures for healthcare data has significant implications for how medical research can be conducted while respecting patient confidentiality. He appears to be particularly focused on translating research findings into practical tools for clinicians, as evidenced by his work on audit and feedback systems for antibiotic prescribing.

• Health Informatics
• Medical Data Privacy
• Electronic Health Records
• +4 more

Sandro Ambuehl is the UBS Foundation Assistant Professor of Behavioral Economics of Financial Markets at the Department of Economics, University of Zurich. He holds a PhD in Economics from Stanford University (2016) and previously served as Assistant Professor at the University of Toronto's Rotman School of Business. His research focuses on improving financial decision-making, ethical incentives in repugnant transactions (e.g., organ donation, clinical trials), and foundational decision theory. He employs experimental and theoretical methods, supported by grants like the Swiss National Science Foundation Starting Grant (2022) and the Alfred P. Sloan Foundation (2017). Education: PhD in Economics (Stanford University, 2016); previous roles include Assistant Professor at University of Toronto (Rotman School of Business and Department of Management, UTSC). Research Interests: Behavioral and experimental economics, financial decision-making interventions, ethical policies for repugnant transactions, and welfare economics. His work has been featured in outlets like the Wall Street Journal , Financial Times , and NPR . Articles highlight themes like paternalistic motivations, participation incentives in trials, and welfare state design. His 2021 American Economic Review paper on paternalism earned the Exeter Prize. Recent studies explore blind peer advice in finance and welfare state preferences through experiments. Awards include the Exeter Prize (2022), Alfred P. Sloan Grant (2017), and Swiss National Science Foundation support. Grants focus on behavioral welfare economics and policy interventions. Labs/Teams: Affiliated with the UBS Center for Economics in Society at UZH, contributing to interdisciplinary behavioral economics research.

• Behavioral Economics
• Experimental Economics
• Financial Decision Making
• +4 more

Yuriy Rogovchenko is a Professor in the Department of Mathematical Sciences at the University of Agder. His research spans differential equations, mathematical modeling, and education innovation, with applications in biology, social sciences, and engineering. Rogovchenko has contributed extensively to mathematics education through projects like PLATINUM (Erasmus+ Strategic Partnership) and CPEA-ST-2019/10067 (Eurasia project). PhD in differential equations (Institute of Mathematics, Kyiv, 1987) Regular Associate at Abdus Salam ICTP, Trieste (2004-2011) Editor for 11 international journals Referee for over 70 journals Research Interests: Qualitative theory of differential equations, perturbation methods, mathematical modeling in interdisciplinary contexts. He focuses on enhancing conceptual understanding through inquiry-based learning and nonstandard problems. Publications: Recent works include advancements in linear system observability, parameter identification methods, and educational studies on exact differential equations. His collaborations with Svitlana Rogovchenko and Matthias Pätzold highlight applications in engineering and biology. Awards: Sørlandet kompetansefonds research award (2016).

• Qualitative theory of differential equations
• Mathematical modeling in biology
• Perturbation methods
• +2 more

Cecilie Schou Andreassen is a Professor at the Department of Clinical Psychology, University of Bergen . She specializes in behavioral addictions , including workaholism, social media addiction, and substance use interactions. Email: cecilie.andreassen@uib.no Visitor Address: Alrek Health Cluster, Årstadveien 17, 5009 Bergen Research Focus: Andreassen's work examines the psychosocial antecedents of addictive behaviors, with emphasis on personality traits , workplace dynamics , and digital platform interactions . Her research spans cross-cultural validation studies and longitudinal health outcomes related to technology and substance misuse. Article Trends (2017-2022): Analyzing 15 recent publications reveals a consistent focus on addiction scale validation , social media epidemiology , and workaholism's health impacts . Key themes include measurement invariance , digital-chemical addiction comorbidity , and psychological withdrawal mechanisms . Scientific Contributions: Co-developer of Bergen Work Addiction Scale Creator of Bergen-Yale Sex Addiction Scale Leadership in behavioral addiction epidemiology Recipient of Norwegian Research Council grants Advising & Collaborations: While no direct advisees are listed, Andreassen collaborates extensively with international researchers in work psychology , social media studies , and public health . Her work involves partnerships with Nottingham Trent University , Yale University , and National Competence Service for Sleep Disorders . Labs & Teams: Affiliated with the Department of Clinical Psychology and previously with the Department of Social Psychology at University of Bergen, she contributes to national health registry studies and cross-occupational research on addiction patterns.

• Behavioral Addictions
• Social Media Psychology
• Workaholism
• +3 more

Aleksander Madsen is a Researcher at the University of Oslo (UiO), affiliated with the Department of Sociology and Human Geography under the Faculty of Social Sciences. His primary research interests include social stratification, immigrant assimilation in labor markets, welfare state policies, and statistical methods. He holds a PhD from Oslo Metropolitan University and an MA from UiO. Education: PhD in Sociology, Centre for the Study of Professions, Oslo Metropolitan University (2014–2018) MA in Sociology, University of Oslo (2013) His research explores labor market integration of immigrants, gender disparities in male-dominated workplaces, and the impact of education-occupation mismatch on health outcomes. He has conducted longitudinal studies on long-term sickness absence and labor market trajectories using sequence analysis. Dr. Madsen has held postdoctoral and research positions at UiO and NIFU, and was a visiting scholar at Stanford University's SCANCOR (2024) funded by the Fulbright Foundation. His work spans interdisciplinary collaborations, including projects on workplace diversity, ethnic stratification, and policy evaluations. Awards: U.S. - Norway Fulbright Foundation Grant (2023–2024) His research group affiliations include the Social Inequalities and Population Dynamics team and the ORGMIGRANT project, investigating work organizations and immigrant assimilation. Recent publications address residential networks among immigrants, workplace ethnic diversity, and women’s attrition from male-dominated sectors.

• Social stratification
• Segregation
• Intergenerational mobility
• +5 more

Albert Lau is an Associate Professor of Civil and Environmental Engineering at the Norwegian University of Science and Technology (NTNU), located in Trondheim, Norway. He specializes in railway engineering, structural dynamics, and transportation systems. Lau holds leadership roles as the Study Program Leader for the MSc in Road, Railway, and Transportation Engineering, overseeing curriculum development and program coordination. His research focuses on railway track design, dynamic modeling of train-track interactions, and infrastructure maintenance, with projects such as the MeTinT initiative (Measurement with Train in Regular Traffic). He has extensive experience supervising master’s and PhD students, and his work emphasizes innovation in rail infrastructure and sustainable transportation solutions. Education and Professional Background: Lau earned his PhD from NTNU in 2018, focusing on numerical simulations of railway turnouts. Prior roles include Postdoc (2018–2020) and Assistant Professor (2017–2018) at NTNU, and teaching at Oslo Metropolitan University (2020). His industry experience includes roles as a Design Engineer (2010–2012) and Project Engineer (2013–2014) in Malaysia, where he managed construction projects and structural design. Research Interests: Lau’s work spans railway track dynamics, infrastructure health monitoring, and machine learning applications in transportation. Key projects include developing digital twins for railway test sites and analyzing ground displacement impacts on track anomalies. His contributions to the Road, Railway and Transport Group at NTNU aim to advance rail safety and efficiency through interdisciplinary approaches. Teaching and Outreach: Lau coordinates courses such as TBA4225 (Railway Engineering) and BA6012 (Fundamental Railway Technology). His outreach includes expert commentary on railway incidents, such as an interview on NRK (2024) discussing potential causes of a train accident. Current initiatives focus on revitalizing regional rail services and optimizing train positioning systems.

• Railway Engineering
• Transportation Systems
• Structural Engineering
• +3 more

Anna Chalachanova is an Associate Professor in the Department of Health at VID University College, Norway. Her academic work centers on disability research, inclusive methodologies, and citizenship studies, with a primary focus on people with intellectual disabilities across Norway, Slovakia, and Great Britain. Her research spans inclusive research practices, citizenship frameworks for people with intellectual disabilities, higher education accessibility, sexual citizenship, religious inclusion, and protective care. She investigates how intellectual disabilities intersect with everyday citizenship experiences, voting rights, educational participation, and personal assistance services through participatory and co-creative methodologies that prioritize disabled voices. Analysis of her 15 most recent publications (2019-2025) reveals consistent thematic focus on citizenship and inclusion, with methodological emphasis on participatory research. Key trends include comparative studies between Norway and Slovakia, sexual citizenship barriers within personal assistance systems, and higher education experiences for intellectually disabled students. Her work demonstrates strong commitment to amplifying marginalized perspectives through narrative and co-created research approaches. Chalachanova actively contributes to multiple research initiatives including the ongoing PATHWAYS project (Faculty of Social Sciences) examining vulnerable institutional pathways for youth, and "To allow in" focused on barrier reduction for people with intellectual disabilities. Completed projects include "Higher education for people with intellectual disabilities" and "My vote counts too!" which evaluated voting participation mechanisms. These projects involve collaborations across Norwegian institutions, Slovakia, and Great Britain. Based in VID University College's Department of Health, she operates within interdisciplinary teams addressing disability inclusion through international partnerships. Her work connects Norwegian higher education contexts with Slovakian comparative frameworks, driving initiatives that transform citizenship practices and educational access for people with intellectual disabilities through evidence-based interventions.

• Disability research
• Inclusive research
• Citizenship studies
• +4 more

Michael Riegler is a Researcher at the AI Department, Simula Research Laboratory , focusing on interdisciplinary applications of Artificial Intelligence in healthcare, sports analytics, and multimedia systems. His work bridges Machine Learning , AI Alignment , and Applied AI across clinical and real-world domains. Key Affiliations: Simula Research Laboratory (AI Department Head) Research Themes: Explainable AI in medicine, multimodal data analysis, and AI-driven health monitoring Research Interests include: Developing AI/ML algorithms for medical imaging (e.g., polyp detection, embryo analysis) Addressing missing data challenges in healthcare through novel imputation techniques Creating multimodal virtual avatars for investigative interview training Designing edge AI systems for sports analytics and sustainable fishing Recent Publications highlight collaborations with institutions in Norway and globally, with a focus on: Medical Applications: Polyp segmentation, ECG analysis, and explainable models for disease detection Sports Analytics: Athlete performance prediction and soccer video processing Data Infrastructure: Lifelogging datasets (ScopeSense), semantic representation frameworks Labs & Teams include leadership in Simula’s AI Department and participation in projects like Medico Multimedia Task , ImageCLEF , and MediaEval workshops. His work emphasizes responsible AI innovation in public sectors and privacy-preserving systems for edge environments.

• Artificial Intelligence
• Machine Learning
• AI Alignment
• +2 more

Kari Ingstad is a Professor of Sociology at the Faculty of Nursing and Health Sciences, Nord University, and currently serves as Vice-Dean for Research. Her work bridges academia, clinical practice, and policy, focusing on healthcare organization, leadership, and innovation in Norway's health sector. She holds a PhD in Sociology from NTNU (2011) and has extensive clinical experience in municipal and specialist healthcare. Education: PhD in Sociology, NTNU, 2011 Nursing background from municipal and specialist healthcare sectors Research Interests: Workforce planning and staffing strategies in healthcare Impact of shift scheduling on employee well-being and patient safety Integration of artificial intelligence in healthcare operations Cross-sectoral collaboration and innovation in health services Recent Research Trends: Her 2024 publications emphasize strategic staffing solutions, AI-driven shift planning, and long-shift work-life balance. Key projects include the OptiCare-AI initiative (Norwegian Research Council-funded), exploring AI applications for optimizing healthcare resource allocation. Leadership & Grants: Leads the Acute Care, Innovation and Patient Safety (AKIP) research group Principal Investigator on OptiCare-AI (2023–present) Labs/Teams: Active collaborations with the AKIP group and national/international networks on healthcare workforce issues.

• Healthcare Management
• Sociology
• Health Services Organization
• +4 more

Toril Aalberg is a Professor and Head of the Department of Sociology and Political Science at the Norwegian University of Science and Technology (NTNU) in Trondheim. She was previously Head of the same department from 2017-2021 and serves as Guest Professor at Mid Sweden University in 2024-2025. Aalberg is a member of the research networks NEPOCS (Network of European Political Communication Scholars) and EVPOC (Elections, Values and Political Communication). Her research interests include comparative politics , election campaigns , media effects , public opinion , and stereotypes in political contexts. She has led major projects like the COST Action IS1308: Populist Political Communication in Europe (2014-2018). Toril Aalberg has authored or co-authored 9 books, including Populist Political Communication in Europe (2016) and Communicating Populism (2019). Her recent articles focus on misinformation during crises , media’s role in political efficacy , and cross-national disinformation studies , often analyzing data from 17-19 democracies. She has conducted extensive research on media polarization , immigrant attitudes , and news consumption patterns . Aalberg has held visiting appointments at institutions including the University of California, Berkeley , Stanford University , and University of Oslo , with current affiliations at the Centre for Advanced Studies in Oslo and Mid Sweden University . Her work spans political communication theory , media sociology , and democratic processes .

• Comparative Politics
• Political Communication
• Media Effects
• +3 more

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.

• Natural Language Processing
• Machine Learning
• Sentiment Analysis
• +5 more

Professor Kjetil Grimastad Lundberg serves at the Institute for Welfare and Participation, Western Norway University of Applied Sciences (HVL), appointed Professor of Welfare Sociology in 2020 after joining HVL in 2018. A University of Bergen PhD graduate (2012), he previously worked as Researcher II at Uni Research Rokkansenteret (2011-2018). His academic credentials include: PhD in Sociology, University of Bergen, 2012 Master's in Sociology, University of Bergen, 2007 Lundberg's research critically examines intersections of welfare systems, poverty, and marginalization through institutional ethnography. He investigates street-level bureaucracy in NAV (Norwegian Labour and Welfare Administration), digitalization impacts, and child/family perspectives in low-income contexts, emphasizing stigma, power dynamics, and activation policies. His work bridges theoretical sociology with practical welfare challenges. His 15 most recent publications (2017-2024) reveal consistent focus on welfare-state dynamics, with recurring themes of work inclusion mechanisms, user experiences in complex interventions, and poverty's structural dimensions. Methodologically, he employs qualitative institutional ethnography across European Societies, European Journal of Social Work, and Social Policy and Society, demonstrating longitudinal analysis of policy evolution. Lundberg supervises multiple PhD candidates on work inclusion and poverty interventions while leading the NAV-funded project 'Barneperspektiv i Nav' (2023-2027) and participating in three additional studies addressing long-term poverty effects and cross-sectoral coordination. His grant portfolio spans NAV-FOU, Sparebankstiftelsen, and NFR funding. He contributes to HVL's 'Rights, Democracy and Welfare' research group, advancing critical welfare sociology through teaching in social science, sociology, and social work programs while examining urban poverty, bureaucratic practices, and marginalized family experiences.

• Welfare Sociology
• Social Inequality and Poverty
• Marginalization and Social Exclusion
• +9 more

Søren Holm is a Professor at the Center for Medical Ethics , University of Oslo. His work spans medical ethics, bioethics, and research ethics , with a focus on artificial intelligence in healthcare, pandemic ethics, and organ transplantation . Primary Affiliation: University of Oslo, Faculty of Medicine Research Themes: AI diagnostics, informed consent, research integrity, end-of-life ethics Key Collaborations: Thomas Ploug, Bjørn Hofmann, Daniel Warrington Recent Publications (2023-2025) analyze ethical challenges in AI-driven healthcare regulation, pandemic research ethics, and data governance . Notable topics include contestable AI diagnostics , equipoise in clinical trials , and conflict of interest disclosure . Contact: Email via soren.holm@medisin.uio.no . No scientific awards or student advisement details explicitly mentioned in the scraped text.

• Medical Ethics
• Research Ethics
• Bioethics
• +7 more