جست‌وجوی استاد و پژوهشگر

Hugo Jose Herrera de Leonمشاهده پروفایل

پژوهشگر ارشد

• System Dynamics
• Socio-Ecological Resilience
• Climate Change Policy
• +۳ مورد دیگر

Hugo Jose Herrera de Leon is a Research Fellow at the Department of Geography, University of Bergen. His work focuses on socio-ecological resilience, system dynamics modeling, and policy planning for climate change adaptation. He is affiliated with the System Dynamics research group and has presented at major international conferences like the European Conference on Operational Research and the International System Dynamics Conference. His research explores bioeconomy transitions in Norwegian agriculture, resilience in farming systems, and participatory policy design. He has been funded by the Research Council of Norway (2021-2025) for projects investigating sustainable transitions in rural systems. Notable contributions include developing frameworks for assessing resilience through hybrid simulations and collaborative modeling approaches. Publications span topics like microworld simulations for policymaking, organizational impacts of group model-building, and system dynamics applications in food security. His doctoral thesis (2018) addressed public policy strategies for enhancing resilience in socio-ecological systems under climate change.

• Discourse Analysis
• Climate Change Communication
• English Language Teaching
• +۷ مورد دیگر

Oleksandr Kapranov is an Associate Professor of English at NLA University College's Teacher Education program. His work intersects discourse analysis, climate change communication, and English language teaching (ELT), with a focus on sustainable development education and intercultural communication. Research areas include political speeches (e.g., Keir Starmer, Rishi Sunak), corporate disclosures (Bank of England, Vedanta Resources), and media framing (Greenpeace branches, King Charles III). Key pedagogical interests: digital competence, beginner EFL training, and discourse markers in academic writing. His recent publications analyze climate change discourse through syntactic structures, metonymy, modality, and evidentiality, emphasizing institutional and political narratives. While no formal awards are listed, his work spans interdisciplinary collaborations with NGOs, governments, and universities.

Yuriy Rogovchenkoمشاهده پروفایل

استاد

• Qualitative theory of differential equations
• Mathematical modeling in biology
• Perturbation methods
• +۲ مورد دیگر

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).

Aleksander Madsenمشاهده پروفایل

پژوهشگر

• Social stratification
• Segregation
• Intergenerational mobility
• +۵ مورد دیگر

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.

• Railway Engineering
• Transportation Systems
• Structural Engineering
• +۳ مورد دیگر

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.

• Disability research
• Inclusive research
• Citizenship studies
• +۴ مورد دیگر

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.

Maj Schian Nielsenمشاهده پروفایل

پژوهشگر

• Multilingualism
• Language Education
• Crosslinguistic Awareness
• +۳ مورد دیگر

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.

Nicoline Frølichمشاهده پروفایل

استاد

• Higher education governance
• Public administration
• Institutional theory
• +۳ مورد دیگر

Nicoline Frølich is Professor and Director of the Centre for Learning and Education (LINK) at the University of Oslo, Norway. She also holds part-time Professor II appointments at the Department of Government, University of Bergen and at NIFU – Nordic Institute for Studies in Innovation, Research and Education. Education 2002 – PhD in Comparative Politics, University of Bergen 1994 – Master in Comparative Politics, University of Bergen 1992 – Pedagogy, Norwegian School of Economics (NHH) 1989 – Master in Economics and Business Administration, Norwegian School of Economics (NHH) Research Interests Frølich’s research focuses on governance, management and organisation of higher education systems, institutional reforms, knowledge policies, and public administration. She employs institutional theory to examine how universities and colleges respond to policy pressures, merger processes, quality assurance mechanisms, and leadership communication during change. Recent Publication Trends Between 2018 and 2025 her work has concentrated on three interconnected themes: leadership and communication within university mergers, gendered career trajectories in academia, and the tension between quality assurance systems and institutional autonomy. Empirically, her studies draw on Nordic and European cases, combining survey data with qualitative analyses of policy enactment. Scientific & Professional Appointments 2023–present – Academic Chair, Circle U alliance 2023–present – Member, SIKT advisory board (Norway) 2021–present – Editorial board member, TEAM – Tertiary Education and Management 2021–2022 – Chair, EAIR – The European Higher Education Society 2019–present – Advisory Board member, UKÄ (Swedish Higher Education Authority) 2019–2021 – Co-Editor-in-Chief, TEAM – Tertiary Education and Management Research Groups & Projects Frølich leads the research group Knowledge, Learning and Governance: Studies in higher education and work (HEDWORK) and participates in the Policy, Bureaucracy, and Organization (PBO) group. She is currently directing the project Re-Structure , which investigates the effects of structural reforms on Norwegian higher education institutions.

• Artificial Intelligence
• Machine Learning
• AI Alignment
• +۲ مورد دیگر

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.

Inga Berreمشاهده پروفایل

استاد

• Applied Mathematics
• Geothermal Energy
• Porous Media
• +۳ مورد دیگر

Inga Berre is a Professor at the Department of Mathematics, University of Bergen, and serves as Director of the Center for Modeling of Coupled Subsurface Dynamics (CSD). She leads the Porous Media Research Group and was appointed Argyris Visiting Professor at the University of Stuttgart's SimTech Cluster of Excellence in 2023. Research Interests: Mathematical modeling, partial differential equations, numerical methods for coupled thermo-hydro-mechanical-chemical processes in subsurface systems, and fault reactivation induced by injection/production. Scientific Leadership: Member of SIAM Council (2022-2027), Chair of SIAM GS activity group (2021-2022), Co-Chair of SET-Plan Deep Geothermal Implementation Working Group (2019-2021), and Chair of the Joint Program Geothermal, European Energy Research Alliance (2018-2021). Awards: 2011 Meltzer Award for Young Researchers. Advisory Roles: Member of Scientific Advisory Boards for GFZ (2024-2027) and SFB1313 (2018-), among others. Teaching: Developed courses on calculus, functional analysis, mathematical modeling, and numerical methods at the Bergen Summer Research School.

Kari Ingstadمشاهده پروفایل

استاد

• Healthcare Management
• Sociology
• Health Services Organization
• +۴ مورد دیگر

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.

Simen Grungمشاهده پروفایل

پژوهشگر

• English language teaching
• Educational assessment
• Formative assessment
• +۵ مورد دیگر

Simen Grung is a Doctoral Research Fellow at the Department of Teacher Education and School Research, Faculty of Educational Sciences, University of Oslo. His work focuses on assessment practices and English language pedagogy. Current projects: EDUCATE (Subject Renewal Evaluation), LANGUAGES (Language Instruction Contexts), NAVIKO-LU (Video-based Teacher Training), VIST (Video Excellence in Teaching) Research Groups: SISCO (Studies of Instruction across Subjects and Competences) His research explores feedback mechanisms in international classroom contexts, formative assessment challenges, and the use of video representations to enhance teacher training programs across Norway, England, and France. Recent publications demonstrate expertise in comparative education studies, language proficiency analysis, and assessment research methodologies. Key themes include cross-cultural pedagogical practices, assessment literacy, and video-based professional development. Active in academic collaborations, he works with researchers like Lisbeth M. Brevik, Eva Thue Vold, and Kirsti Klette on projects examining instructional quality and student experiences in teacher education.

Anne H Schistad Solbergمشاهده پروفایل

استاد

• Machine Learning
• Deep Learning
• Image Analysis
• +۶ مورد دیگر

Anne H Schistad Solberg is a Professor in the Department of Informatics at the University of Oslo's Faculty of Mathematics and Natural Sciences. She leads research in digital signal processing and image analysis, with a focus on machine learning applications across multiple domains. As co-director of SFI Visual Intelligence, she oversees research on interpretable deep learning models, uncertainty quantification, contextual learning, and self-supervised learning approaches. Her research spans medical imaging (particularly cardiovascular ultrasound), environmental monitoring using satellite imagery, and seabed mapping with sonar technology. Professor Solberg's work demonstrates a consistent trajectory from foundational signal processing techniques to cutting-edge deep learning applications. Her recent publications show increasing specialization in medical image analysis, particularly in echocardiography enhancement and cardiac structure segmentation, while maintaining strong contributions to remote sensing and geophysical applications. She teaches several popular courses including IN2070, IN3310, and IN5400 (Machine Learning for Image Analysis), which is noted as the most popular master's/PhD course on deep learning at the University of Oslo. Professor Solberg serves as principal investigator for the Intelligent Cardiovascular Ultrasound Scanner (INCUS) project, collaborating with GE Vingmed Ultrasound to develop AI-enhanced cardiac imaging systems that improve diagnostic accuracy and productivity in echocardiography. Co-director of SFI Visual Intelligence research center Principal Investigator for the INCUS project (Intelligent Cardiovascular Ultrasound Scanner) Member of the Digital Signal Processing and Image Analysis (DSB) research group Member of the Strategic Research Initiative: Multimodal Medical Imaging and Image Analysis (MEDIMA) Her research group develops algorithms that address real-world challenges in medical diagnostics and environmental monitoring, with a particular emphasis on making deep learning models more interpretable and reliable for critical applications. The INCUS project, funded through User-driven Research-based Innovation (BIA), aims to reduce the time wasted during cardiac ultrasound examinations by implementing intelligent algorithms that learn from expert users and historical data.

• Computer Science
• Artificial Intelligence
• Machine Learning
• +۹ مورد دیگر

Jim Torresen is a Professor at the Norwegian University of Science and Technology (NTNU), specializing in Computer Science, Artificial Intelligence, and Robotics. He earned his M.Sc. and Dr.ing. (Ph.D.) in computer architecture and design from NTNU in 1991 and 1996 respectively, followed by industry experience in hardware design before transitioning to academia in 1999. Research Interests: His work spans Machine Learning, Evolvable Hardware, and Ethical AI, with notable contributions to music technology, facial expression recognition, and healthcare monitoring systems. He actively explores interdisciplinary applications of AI in creative domains and clinical environments. Publications & Editorial Roles: Torresen has published extensively in journals like Frontiers in Artificial Intelligence and Genetic Programming and Evolvable Machines . He serves as a Topic Editor for Frontiers in Explainable AI and has editorial roles in robotics and biomedical AI domains.

Søren Holmمشاهده پروفایل

استاد

• Medical Ethics
• Research Ethics
• Bioethics
• +۷ مورد دیگر

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.