جستجوی استاد راهنمای دانشگاهی

• International Law
• Critical Legal Studies
• Political Ecology
• +۸ مورد دیگر

Sofie Elise Quist serves as a Research Fellow at the Norwegian Centre for the Law of the Sea (NCLOS) within the Aurora Centre of UiT The Arctic University of Norway's Faculty of Law. Her doctoral project Encountering Blue Transformation: a legal ethnography of salmon farming and resistance in Norway and Chile critically examines the intersection of international legal frameworks and coastal community impacts through critical legal ethnography. Her research spans international law, political ecology, and environmental humanities with specialized focus on ocean/coastal governance, human rights, indigenous studies, and sustainable food systems. Quist investigates how salmon farming expansion—driven by UN FAO's blue transformation agenda—reconfigures local power dynamics, producing environmental injustices while documenting Indigenous and small-scale fishers' resistance strategies. Her work emphasizes participatory scholarship, analyzing normative conflicts between global aquaculture intensification and coastal community rights. Recent publications reveal three thematic clusters: (1) ocean literacy frameworks integrating indigenous knowledge with policy development; (2) human rights approaches to blue food systems emphasizing multispecies justice; and (3) critical analyses of climate litigation connecting environmental harm to human rights violations. Her scholarship consistently bridges theoretical critique with actionable governance solutions. Quist actively contributes to the Sami and Indigenous Peoples Law research group and the Ocean Incubator Network project, developing legal pathways for sustainable aquaculture through interdisciplinary workshops and living laboratory methodologies. Her work engages policymakers via the Norwegian Centre for the Law of the Sea's policy-oriented research initiatives focused on Arctic and global ocean governance challenges.

Anthony Paul Doulgerisمشاهده پروفایل

استاد

• Remote Sensing
• Synthetic Aperture Radar (SAR) Imaging
• Sea Ice Monitoring
• +۳ مورد دیگر

Professor Anthony Paul Doulgeris at the UiT The Arctic University of Norway leads research in Earth Observation within the Department of Physics and Technology . His work focuses on Interpreting satellite radar images for Arctic sea ice studies Developing automated algorithms for large-scale environmental data Advancing SAR (Synthetic Aperture Radar) methodologies His research interests span Remote Sensing , Sea Ice Dynamics , Machine Learning Applications , and Algorithm Optimization for polar environments. Current projects include Boosting Space Business and membership in the Earth Observation research group. Recent publications analyze High-resolution sea ice concentration using Sentinel-1 deep learning models Icberg detection via multiscale CFAR algorithms in L-band SAR Multidecadal SAR sea ice type analysis in the Atlantic Arctic Incidence angle compensation techniques for cross-platform consistency with keywords spanning Arctic Climate , Microwave Remote Sensing , Operational Ice Monitoring , and Data Processing Frameworks . Collaborations include international teams from Norway, China, and Canada, with fieldwork integration in expeditions like MOSAiC and N-ICE2015. His work bridges Satellite Data and Environmental Modeling to improve Arctic navigation and climate predictions.

• Machine Learning
• Medical Imaging
• Positron Emission Tomography (PET)
• +۳ مورد دیگر

Samuel Kuttner is an Associate Professor II (part-time) in Machine Learning at the Department of Physics and Technology, UiT The Arctic University of Norway. He specializes in applying artificial intelligence to medical imaging challenges, with core expertise in Positron Emission Tomography (PET), deep learning algorithms, and quantitative image analysis. His work bridges machine learning with clinical applications in oncology and neurology. Research Focus: Kuttner leads innovative projects at the intersection of AI and medical physics. His primary interests include: Developing non-invasive methods for arterial input function estimation in dynamic PET imaging Implementing deep learning for tumor segmentation and recurrence prediction in glioblastoma Optimizing quantitative PET/MRI through artifact correction and reconstruction algorithms Advancing physics-informed machine learning models for biomedical applications Publication Trends: His recent articles (2020-2025) demonstrate strong focus on: AI-driven solutions for PET quantification challenges Clinical translation of radiomics and deep learning in neuro-oncology Methodological innovations for preclinical and clinical imaging workflows Interdisciplinary collaborations across machine learning, physics, and clinical medicine Research Groups: He actively contributes to the Nuclear Medicine and Radiation Biology (NMRB) group and the Machine Learning Group at UiT, fostering cross-disciplinary research in medical technology innovation.

• Scientific Computing
• Finite Element Methods
• Mixed-Dimensional Coupling
• +۴ مورد دیگر

Cécile Daversin-Catty is a Research Scientist at Simula Research Laboratory in the Department of Numerical Analysis and Scientific Computing. Her work bridges computational mathematics and biomedical engineering through advanced finite element methods. Education: PhD in Applied Mathematics (2016, Université de Strasbourg), thesis titled 'Reduced basis method applied to large non-linear multi-physics problems: application to high field magnets design' Her research focuses on scientific computing , finite element methods , and mixed-dimensional coupling , with applications spanning fluid mechanics , cardiac electromechanics , and neurovascular modeling . Recent publications highlight her expertise in computational fluid dynamics for cardiac flow simulations, development of FEniCS-based tools for mixed-domain problems, and modeling of perivascular networks. Key trends in her work include: Development of robust numerical frameworks for multi-physics problems Advancing cardiac electromechanical modeling for heart failure studies Exploring glymphatic system dynamics via mixed-dimensional finite elements Software innovation in computational science tools She collaborates extensively with researchers across computational cardiology and neuroscience, contributing to open-source platforms like FEniCS.

• Medical Imaging
• Computer Vision
• Artificial Intelligence
• +۲ مورد دیگر

Akriti Sharma serves as a Postdoctoral Fellow in the Department of Validation Intelligence for Autonomous Software Systems at Simula Research Laboratory, specializing in artificial intelligence applications for medical diagnostics and maritime engineering. Her core research interests span: Medical Image Analysis for human embryo development in IVF procedures Computer Vision using deep learning architectures (YOLO) for embryo cleavage detection Transfer Learning techniques applied to maritime shaft power prediction Explainable AI frameworks for clinical decision support systems Energy efficiency optimization in shipping through sensor data analysis From 2022-2025, her publication trajectory shows progression from embryo cell tracking automation to cross-domain transfer learning applications. Early work focused on time-lapse video analysis for cleavage timing prediction, evolving toward AI-driven embryo quality assessment and maritime power forecasting, demonstrating consistent innovation in real-world AI deployment. No scientific awards or honors were documented in the source material. Information regarding student advisement, research grants, or educational background was not provided in the available text. As part of Simula's Validation Intelligence for Autonomous Software Systems department, she contributes to developing rigorous validation methodologies ensuring safety and reliability in autonomous AI systems across healthcare and maritime sectors.

Haakon Gjerløwمشاهده پروفایل

پژوهشگر

• Political Institutions
• Comparative Politics
• Political Economy
• +۵ مورد دیگر

Haakon Gjerløw is a Senior Researcher at the Peace Research Institute Oslo (PRIO), focusing on political institutions, domestic politics, mass mobilization, and human development. He specializes in data collection and empirical analysis within comparative politics and political economy, with a particular emphasis on electoral autocracies and humanitarian crises. Education: PhD Fellow at the University of Oslo (Department of Political Science, 2015–2019) Research Interests: Political institutions and electoral dispute dynamics Mass mobilization and democratization processes Human development in refugee contexts (e.g., Rohingya education access) Impact of informal institutions during crises Governance and accountability in autocratic regimes Project Leadership: Principal investigator for the Norwegian Research Council-funded project Elite Political Dynamics in Electoral Autocracies (ELITE) (2021–2025). Involved in education-focused projects like EducAid and studies on pandemic-driven educational disruptions in Bangladesh. Scientific Contributions: Recent articles analyze electoral litigation in Zambia, mass mobilization datasets, and education access during the pandemic. His work bridges empirical data collection with theoretical testing in comparative politics. Scientific Awards: Secured Research Council of Norway funding for the ELITE project (2020) Media Engagement: Regularly contributes opinion pieces to Norwegian media (e.g., Aftenposten , NRK ) on topics including TikTok’s political risks, evidence-based policymaking, and the Nobel Peace Prize’s role in mass mobilization. Institutional Affiliation: Collaborates with practitioners in development programs and humanitarian aid, leveraging PRIO’s interdisciplinary networks to integrate practice with science.

Nikki Vercauterenمشاهده پروفایل

دانشیار

• Atmospheric Sciences
• Geosciences
• Data Science
• +۵ مورد دیگر

Associate Professor Nikki Vercauteren is a faculty member in the Department of Geosciences at the University of Oslo, where she joined in April 2021. Her research bridges atmospheric sciences, data science, and computational science to advance Earth-System modeling. Her educational background includes: PhD in Environmental Sciences, EPFL (2011) Postdoctoral researcher, Hydrology group at Stockholm University Vercauteren's research centers on multiscale atmospheric flows, particularly boundary-layer processes. She investigates land-atmosphere interactions, near-surface atmospheric dynamics, turbulence, and energy transfers using data-driven pattern detection, scientific computing, and multiscale modeling to develop improved parameterization schemes for climate models. Her scientific recognition includes: Alexander von Humboldt research scholarship (2013) She supervises projects including "Geoscience Modelling microscale atmospheric turbulence in the surface layer" and previously led the interfaculty Master Program in "Computational Sciences" at Freie Universität Berlin, where she also directed a research group on Multiscale data analysis for the Geosciences.

Lucia Moran Gonzalezمشاهده پروفایل

پژوهشگر ارشد

• Density Functional Theory (DFT)
• Homogeneous Catalysis
• Machine Learning in Chemistry
• +۳ مورد دیگر

Lucia Moran Gonzalez is a Postdoctoral Fellow at the Hylleraas Centre for Quantum Molecular Sciences , affiliated with the Department of Chemistry under the Faculty of Mathematics and Natural Sciences (SMN) at the University of Oslo . Her work focuses on integrating Density Functional Theory (DFT) with machine learning to advance homogeneous catalysis research. Education: Ph.D. in Chemical Science and Technology, Institute of Chemical Research of Catalonia (ICIQ), Spain M.Sc. in Synthesis, Catalysis and Molecular Design, University of Rovira i Virgili, Spain B.Sc. in Chemistry, University of Salamanca, Spain Her research bridges theoretical chemistry and data science , particularly in Cu-based catalysts for C-H activation . She develops AI-driven methods and graph kernels to model catalytic systems, as seen in her recent publications in ACS Catalysis and Journal of Chemical Information and Modeling . Lucia collaborates with the Catalysis and Organic Chemistry and Theoretical Chemistry research groups. Her work emphasizes machine learning applications in chemical systems and data-driven catalyst design .

Ziaul Haque Munimمشاهده پروفایل

استاد

• Maritime Logistics
• Autonomous Shipping
• Supply Chain Management
• +۵ مورد دیگر

Professor Ziaul Haque Munim serves as a full-time faculty member at the University of South-Eastern Norway (USN), holding the position of Professor in the Institute of Maritime Operations within the Faculty of Technology, Natural Sciences and Maritime Affairs at the Vestfold campus. His academic responsibilities include teaching Supply Chain Management, Logistics, and Maritime Economics courses while conducting research at the intersection of maritime operations and advanced analytics. His educational qualifications feature: PhD in Maritime Logistics, University of Agder, Norway (2015-2018) MSc in Supply Chain Management, Vienna University of Economics and Business (2013-2015) MEng in Autonomous Maritime Operations, Novia University of Applied Sciences, Finland (2023-2025) BBA in Finance, Eastern University, Bangladesh (2007-2011) Professor Munim's research focuses on transformative maritime technologies including autonomous shipping systems and AI-driven risk assessment, alongside sustainability initiatives in green port management. His methodological expertise spans Structural Equation Modeling and machine learning applications for optimizing supply chain resilience in global shipping networks. Current work emphasizes accident risk modeling for autonomous maritime operations using artificial intelligence frameworks. His research excellence is recognized through: Palgrave Macmillan Best Paper Award (IAME 2016) KLU Young Researcher Best Paper Award (IAME 2018) As an educator, Professor Munim actively supervises student research and contributes to curriculum development in maritime logistics. His recent consultancy engagement with Transport Canada demonstrates the practical impact of his academic work on national transportation policy. Ongoing projects focus on integrating machine learning techniques with maritime economic modeling to address industry challenges in port competitiveness and sustainable shipping operations.

• Marine ecosystem modeling
• Fish population dynamics
• Climate change impacts on marine ecosystems
• +۷ مورد دیگر

Geir Huse serves as Department Director for the Department of Marine Ecosystems and Resources at UiT The Arctic University of Norway. With a prolific publication record spanning decades, he is a leading researcher in marine ecosystem dynamics, particularly focused on the Barents Sea ecosystem and climate change impacts on marine resources. Dr. Huse's research interests center on marine ecosystem modeling, fish population dynamics, and the impacts of climate change on marine ecosystems. His work specifically examines capelin and polar cod populations in the Barents Sea, Antarctic krill dynamics, and the development of ecosystem-based approaches to fisheries management. He employs sophisticated modeling techniques including individual-based models and Bayesian frameworks to understand complex ecosystem interactions. Analysis of Dr. Huse's recent publication record (2020-2025) reveals a strong focus on climate change impacts on marine ecosystems, with particular attention to how climate variability affects fish stock recruitment, distribution patterns, and overall ecosystem functioning. His research demonstrates that climate impacts are highly variable across species and regions, challenging traditional fisheries management approaches. The publications span top marine science journals including ICES Journal of Marine Science, Fish and Fisheries, and Progress in Oceanography. Dr. Huse maintains extensive international collaborations, participating in multinational research initiatives including CCAMLR (Commission for the Conservation of Antarctic Marine Living Resources) and working with ICES (International Council for the Exploration of the Sea). His research bridges theoretical ecosystem science with practical fisheries management applications, addressing critical questions about sustainable resource use in a changing ocean environment. As Department Director, Dr. Huse oversees academic programs and research initiatives while maintaining an active research profile. His leadership position reflects both administrative responsibilities and recognition of his scientific contributions to marine ecosystem research.

• Professional Ethics
• Mandatory Reporting
• Intimate Partner Violence
• +۲ مورد دیگر

Kjartan Leer-Salvesen is a Professor at Volda University College, Norway, specializing in professional ethics and violence prevention. He has progressed through academic ranks at Volda since 2010, from PhD candidate to Professor, and holds leadership roles including head of the PhD committee in health/social sciences (jointly with Molde University College) and leader of a cross-institutional research group in professional ethics. His research examines critical intersections of ethics, law, and practice: Core domains : Mandatory reporting systems, intimate partner violence prevention, confidentiality obligations, and empirical analysis of professional discretion. Applied focus : Developing interventions for healthcare/child welfare providers and analyzing ethical dilemmas in service delivery. Recent scholarly output (2020–2025) emphasizes policy implementation, educational training efficacy, and multi-stakeholder perspectives on violence reporting, using rigorous mixed-method designs. He leads the Norwegian Research Council project Avvergeplikt i møte med partnervold , targeting systemic improvements in partner violence response. No awards or student supervisions are mentioned in the source material.

• e-Learning
• Database Systems Education
• Educational Technology
• +۳ مورد دیگر

Bjørn Kristoffersen serves as a Senior Lecturer at the Department of Economics and IT, University of Southeast Norway. His academic career demonstrates continuous affiliation with this institution since at least 2013, including involvement in projects originating from the former Telemark University College (now integrated into USN). He maintains active collaboration with researchers including Olav Dæhli and Per Lauvås across multiple educational technology initiatives. His research centers on practical implementations in computer science education, with particular emphasis on e-Learning systems and digital pedagogy . Key focus areas include database systems instruction, programming education (specializing in Java), data modeling techniques, and gamification strategies for learning tools. His work consistently bridges theoretical computer science concepts with classroom-ready applications through digital resource development. Analysis of his publication timeline (2013-2024) reveals an evolving research trajectory from foundational textbook resource development toward innovative applications of AI and gamification. The 2024 chatbot study and 2021 gamification research demonstrate increasing sophistication in addressing student support needs, while maintaining his core commitment to practical educational tool development. All publications show strong collaborative patterns with consistent research partners. Regarding academic supervision, the available documentation indicates completed projects involving student-driven development approaches but provides no specifics about current advisees or advising capacity. His project history—including 'Student-driven development of learning tools for database education'—suggests a hands-on mentoring style where students actively contribute to educational technology development. No current grant funding is indicated in the source materials, with all referenced projects marked as completed.

Espen Andersenمشاهده پروفایل

دانشیار

• Technology Strategy
• Digitalization
• Business Innovation
• +۵ مورد دیگر

Espen Andersen is an Associate Professor at BI Norwegian Business School's Department of Strategy and Entrepreneurship and holds an adjunct position at the University of Oslo's Department of Computer Science. With a D.B.A. from Harvard Business School and M.Sc. from BI Norwegian Business School, he maintains a research focus on technology strategy, digital transformation, and innovation management. His research explores: Data-driven organizational decision-making Disruptive impacts of digital technologies Machine learning in business strategy Innovation processes in technology firms Knowledge management systems Publication trends show consistent focus on digital transformation challenges, with recent work examining AI's organizational impact and strategies for technological adaptation. His articles frequently employ business case methodologies across multiple industries. Awards and recognition: Excellent Teaching Practitioner (2023) Andersen actively contributes to executive education through Comunità networks, consults internationally on technology strategy, and maintains academic blogs in both English (Applied Abstractions) and Norwegian (Tversover).

Tarjei Alvær Heggernesمشاهده پروفایل

مدرس ارشد

• Digital Business Transformation
• Educational Technology
• Learning Analytics
• +۳ مورد دیگر

Tarjei Alvær Heggernes is a Senior Lecturer at Western Norway University of Applied Sciences (since 2008) and Adjunct Lecturer at BI Norwegian Business School (since 2000), specializing in digital business and educational technology within the Department of Strategy and Entrepreneurship. His research explores: The impact of digital tools like blogging networks on learning outcomes Data-driven educational innovations (e.g., flipped classrooms) Socioeconomic implications of Industry 4.0 and automation Business intelligence applications in management education Recent publications demonstrate consistent focus on digital transformation in education and business, particularly analyzing how technologies like learning analytics can reshape traditional pedagogies and business models. His textbook Digital Forretningsforståelse is a key instructional resource in these domains.

Lars Huemerمشاهده پروفایل

استاد

• Interorganisational Relations
• International Management
• Trust and Identity
• +۵ مورد دیگر

Lars Huemer is a Professor at BI Norwegian Business School in the Department of Strategy and Entrepreneurship, where he has been employed since 1999. He previously served as Associate Professor (2000–2009) and Head of Department (2002–2003). His international affiliations include visiting scholar positions at Universidad Adolfo Ibáñez, Chile (2004–2006) and the University of Technology, Sydney (1995). He holds a Ph.D. from Umeå University (1998). His research explores interorganisational relations, international management, trust, and identity, with a focus on multinational corporations and indigenous groups. Additional interests include strategic management, supply chain dynamics, and business-driven socio-economic development. His teaching covers strategic management and supply management. Huemer’s publications demonstrate evolving emphasis on sustainability and resource interaction frameworks, particularly circular economy adaptations (2025), value co-creation in B2B networks (2022), and strategic resource bundling (2021). Earlier work analyzed logistics provider strategies, network cognition, and CSR in aquaculture.