جستجوی استاد راهنمای دانشگاهی

Alexander Sønderland Skjønberg serves as Professor of Law at BI Norwegian School of Business and will assume the position of Professor II at the Department of Private Law, Faculty of Law, University of Oslo starting autumn 2024. His academic appointments reflect deep engagement with Norwegian and international labor law frameworks. Skjønberg's research interests span Norwegian labor law, international labor law, legal history, and EEA law. His scholarly work demonstrates particular expertise in collective bargaining, managerial prerogative, collective agreement after-effects, and Supreme Court jurisprudence in labor matters. The publication record reveals consistent focus on how Norwegian labor law interfaces with European legal frameworks and evolving social dynamics. His 15 most recent publications show strong thematic continuity in labor law scholarship, with particular emphasis on collective bargaining agreements, Supreme Court interpretations, and the evolving boundaries of managerial prerogative. The research demonstrates methodological diversity including case analysis, legislative commentary, and comparative studies across Scandinavian jurisdictions. Skjønberg holds significant professional positions including editor of labor law in Karnov Lovkommentarer, editor of The Nordic Journal of Labour Law, and chairman of the Norwegian Labour Law Association (NARF). He serves as national expert for the European Centre of Expertise in labor law and is a member of the Executive Committee of the International Society for Labour and Social Security Law. As an educator, Skjønberg has extensive teaching experience across bachelor's, master's, and postgraduate levels, specializing in individual and collective employment law and EEA law. He will teach JUS5511/JUR1511 – Individual Labor Law in fall 2025 and supervise master's theses in employment law at the University of Oslo. His practical legal experience includes service as deputy judge and former acting judge in the Labour Court.

• Norwegian Labor Law
• International Labor Law
• EEA Law
• +۳ مورد دیگر

Walace Peterle Soares Kierulf-Vieira is a Doctoral Research Fellow at the Department of Chemistry , University of Oslo, affiliated with the Faculty of Mathematics and Natural Sciences. His research focuses on inorganic materials chemistry and functional nanomaterials within the Nanostructures and Functional Materials (NAFUMA) research group. School: Faculty of Mathematics and Natural Sciences Department: Department of Chemistry Academic Rank: Research Fellow Research Interests: Walace's work centers on the synthesis, characterization, and application of bimetallic Pt-Rh nanoparticles for catalytic processes. His research emphasizes: Controlled nanoparticle synthesis techniques Thermodynamic stability of alloy systems Surface reactivity in selective oxidation In situ transmission electron microscopy (TEM) studies Environmental catalysis applications Recent Work Trends: His publications from 2022–2025 showcase expertise in tailoring bimetallic catalysts for ammonia oxidation and analyzing nanoparticle structure-dynamic relationships using advanced microscopy. Collaborations with researchers like Martin Myhre Jensen and Anja Olafsen Sjåstad indicate team-based experimental approaches.

• Inorganic materials chemistry
• Nanostructures and Functional Materials
• Catalysis
• +۳ مورد دیگر

Kaja Larsen Østerud is a senior researcher at Oslo Metropolitan University's Welfare Research Institute NOVA, specifically within the Center for Welfare and Working Life Research. With a Master's in Work and Organizational Psychology (UiO, 2011) and a PhD in Social Work and Social Policy (OsloMet, 2022), she specializes in marginalized groups' relationship with the welfare state. She leads NOVA's Network for Research on Disability and focuses on disability studies, labor market discrimination, and welfare policy. Employers' attitudes toward disabled job seekers Welfare service access for disabled families Gender equality impacts during the pandemic Care work burdens on parents of disabled children Her recent publications examine: Coordinator schemes for disabled children's families Employers' balancing act regarding disability disclosure Mental illness stigma in hiring processes Cross-national employment policy challenges Her work combines qualitative methods like in-depth interviews and observation to analyze systemic barriers in employment and welfare services.

• Disability Studies
• Social Work
• Labor Market Discrimination
• +۳ مورد دیگر

Eric Sundqvist is a University Lecturer and Study Coordinator in Radiation Therapy at Oslo Metropolitan University's Faculty of Health Sciences, Department of Health Sciences. His work focuses on radiography and radiotherapy education, with affiliations to OUS - Radium Hospital in Oslo. Radiation Therapy Education Medical Physics Patient Engagement in Radiotherapy Radiotherapy Curriculum Development Sundqvist's research spans radiation therapy techniques, medical dosimetry, and educational methodologies. His publications include studies on VMAT for breast cancer, dose distribution optimization, and e-learning initiatives like the SAFE EUROPE webinars. He has contributed to European core curricula for radiotherapy technologists and developed training workshops for clinical practice. Recent publications show expertise in radiation biology , patient engagement , and advanced treatment planning . Key collaborations include ESTRO (European Society for Radiotherapy and Oncology) and NRPA-KVIST group. Sundqvist actively participates in educational development projects to improve student-supervisor dynamics in clinical settings and advocates for workforce expansion in radiotherapy professions through publications in Hold Pusten and other platforms.

• Radiation Therapy
• Radiography
• Medical Imaging
• +۵ مورد دیگر

Raju Shrestha is an Associate Professor at the Department of Information Technology , Faculty of Technology, Art and Design , Oslo Metropolitan University. His work spans artificial intelligence, human-computer interaction, and cloud computing. Recent research includes: Hybrid deep learning models for plant disease detection AI-based navigation assistants for visually impaired users Cloud infrastructure optimization via GitOps and CI/CD pipelines Analysis of voice assistant efficacy in education Computer vision applications in election ballot processing His publications (2023-2025) reflect interdisciplinary applications of AI in agriculture, healthcare, education, and social media marketing automation.

• Artificial Intelligence
• Machine Learning
• Human-Computer Interaction
• +۵ مورد دیگر

Tim Carlsen serves as a Researcher at the Section for Meteorology and Oceanography within the Department of Geosciences at the University of Oslo's Faculty of Mathematics and Natural Sciences. Appointed to this position in 2021 following a postdoctoral fellowship at the same institution (2019-2021), he contributes to Norway's leading polar climate research infrastructure while maintaining international collaborations across European Arctic projects. His academic trajectory includes doctoral research at Leipzig University (2014-2018), where he developed expertise in cryospheric remote sensing and cloud microphysics. This foundation supports his current work bridging observational data with climate modeling frameworks. Carlsen's research centers on mixed-phase cloud dynamics in polar regions, with particular emphasis on ice nucleation processes and cloud-phase transitions. His investigations into snow surface reflectivity examine bidirectional reflectance distribution functions under varying illumination and surface conditions. Utilizing multi-platform remote sensing (satellite, airborne, ground-based lidar/radar), he addresses critical gaps in understanding Arctic Amplification mechanisms. Current projects integrate field campaigns like NASCENT with global climate model evaluation. Analysis of his 15 most recent publications (2017-2025) reveals three dominant research thrusts: (1) Arctic cloud-phase representation in CMIP6 models, (2) ice nucleating particle impacts on high-latitude precipitation, and (3) snow grain size retrieval methods for cryospheric albedo modeling. His work consistently employs multi-sensor validation approaches, with growing emphasis on aircraft icing prediction and drifting snow-cloud interactions. Carlsen actively contributes to major research initiatives including the ERC Consolidator Grant 'STate-dEPendent Cloud feedbacks' (STEEPEGE), ERC Start-up grant 'Mixed-phase clouds and climate' (MC2), and the BRACE-MY capacity-building project. His involvement in IceSAFARI demonstrates applied research for aviation safety, while the ACT-Pilot project connects his cloud physics expertise to Arctic sustainability transitions. As part of Oslo's Meteorology and Oceanography section, he collaborates with international teams on field experiments across Svalbard and Antarctica. His current work focuses on improving cloud microphysics parameterizations in Earth system models through targeted observational constraints, with emerging interest in drone-based icing condition monitoring.

• Atmospheric Science
• Meteorology
• Cloud Physics
• +۶ مورد دیگر

Torsten Hundebøl Hansen is a Researcher in the Department of Geosciences at the University of Oslo, specializing in the Section for Study of Sedimentary Basins since his appointment as Postdoctoral Fellow in 2023. His work focuses on structural deformation processes in sedimentary basins, with particular emphasis on the North Sea region including the Danish Central Graben and Norwegian-Danish Basin. Dr. Hansen's research integrates advanced seismic interpretation with structural modeling to investigate basin evolution, salt tectonics, and fault behavior. His expertise spans porosity analysis in chalk reservoirs, basin inversion mechanisms, and the critical relationship between structural deformation and reservoir/seal properties. This work provides fundamental insights for petroleum exploration and geological CO2 storage applications. Analysis of his 15 publications (2019-2025) reveals a clear progression toward CO2 storage research, with nearly half of recent works (2023-2025) directly addressing storage site selection, seal integrity, and containment risk. The North Sea Basin remains the primary study area, with increasing utilization of machine learning techniques for fault mapping and quantitative analysis of salt-tectonic influences on storage complexes. Dr. Hansen actively contributes to two major research initiatives: the CO2SafeQuest project investigating fault properties for CO2 storage, and the CCNS (CO2 storage research and cross-border synergies) consortium focused on southern Norwegian North Sea storage potential. His work bridges fundamental structural geology with practical applications for carbon capture and storage. He operates within the Study of Sedimentary Basins research group at the University of Oslo, collaborating on projects that integrate structural analysis, seismic interpretation, and geomechanical modeling to address challenges in both hydrocarbon exploration and geological carbon storage.

• Sedimentary Basin Analysis
• Structural Geology
• CO2 Geological Storage
• +۵ مورد دیگر

Tor Arne Johansen is a Professor at the Department of Technical Cybernetics, Norwegian University of Science and Technology (NTNU), and a key researcher at the Center for Autonomous Marine Operations and Systems (AMOS). His work bridges control theory, autonomous systems, and remote sensing technologies. Education : Civil Engineering Degree Doctorate in Technical Cybernetics His research focuses on autonomous marine and aerospace systems , with emphasis on control algorithms , collision avoidance, and hyperspectral imaging . Recent work explores UAV navigation in extreme conditions, MPC for maritime operations, and adaptive Kalman filters for spectroscopic correction. The 15 most recent articles highlight trends in autonomous navigation , UAV control systems , hyperspectral satellite data processing , and risk-aware industrial drone applications . Subfields include RRT algorithms, wave-motion compensation, intention-aware trajectory prediction, and onboard classification for earth observation. Advising : Supervised numerous Master’s and PhD students on topics like collision avoidance, UAV recovery, and hyperspectral analytics. Collaborates with institutions like SINTEF and international researchers in maritime and aerospace domains.

• Control Systems
• Autonomous Marine Operations and Systems
• Aerospace Engineering
• +۳ مورد دیگر

Younes Zahraoui is a Postdoctoral Fellow at the Norwegian University of Science and Technology (NTNU), affiliated with the Department of Technical Cybernetics. His research focuses on enhancing power systems and microgrids through advanced control strategies and artificial intelligence. Current affiliation: Department of Technical Cybernetics, NTNU Academic rank: Research Fellow Zahraoui's research spans power system resilience, AI-driven energy optimization, and peer-to-peer energy trading. His work emphasizes improving grid stability, reducing energy losses, and enabling efficient multi-microgrid participation in energy markets. Recent publications highlight interdisciplinary approaches combining technical cybernetics with sustainable energy solutions. Key themes include: AI applications in power systems Energy storage optimization Grid flexibility frameworks Multi-microgrid market strategies

• Power Systems
• Renewable Energy
• Artificial Intelligence
• +۳ مورد دیگر

Marius Geitle is an Assistant Professor at the Department of Computer Science and Communication , Østfold University College, Halden. His academic interests include Machine Learning , Evolutionary Optimization , and Automatic Programming . His research focuses on advancing machine learning techniques, particularly in dimensionality reduction , hyperparameter optimization , and node evaluation models for IoT-Mist networks . He utilizes methods like deep ensemble transformers , XGBoost , and evolutionary algorithms to address challenges in computational efficiency and data-driven learning. Recent publications highlight trends in automated programming and fog computing , with keywords spanning Machine Learning , Internet of Things , and Big Data . He coordinates the course ITL25019: Big Data: Storage and Processing and supervises master's theses and project assignments in machine learning. He serves as chairman of Future Then AS and collaborates on projects related to the digital society . His work is affiliated with the Machine Learning research group at Østfold University College.

• Machine Learning
• Evolutionary Optimization
• Automatic Programming
• +۲ مورد دیگر

Oddgeir Lingaas Holmen is a Researcher at the HUNT Research Centre under the Faculty of Medicine and Health Sciences , Norwegian University of Science and Technology (NTNU). Holding an M.D. (2008) and a Ph.D. in genetic epidemiology, he collaborates with institutions like the University of Michigan and University of Exeter. Education: M.D. (2008, NTNU), Ph.D. in Genetic Epidemiology His research spans genetic epidemiology , computational biology , and cardiovascular genetics , focusing on large-scale genomic studies, biobank infrastructure, and disease-gene associations. Key projects include: HUNT Cloud (Chief Information Security Officer, 2017–present) – a secure computational platform certified under ISO 9001 and ISO 27001 K.G. Jebsen Center for Genetic Epidemiology (co-founder, 2016) – coordinates 50+ ALL-IN studies on genetic-disease links Collaborative GWAS on atrial fibrillation (2014–2022), psoriasis (2025), diabetes (2023), and cardiovascular biomarkers (2019) Recent publications highlight his role in: Advancing genotyping methodologies (2019) Mapping genetic determinants of BMI (2018, 2022) Identifying cardiovascular risk loci (2014, 2018) Developing biobank infrastructure tools (2020, 2021) Holmen's work integrates genomic data with information security , emphasizing ethical handling of sensitive health data. He has contributed to over 15 high-impact studies since 2010, with affiliations spanning multiple institutions but no listed awards or formal advisory roles.

• Genetic Epidemiology
• Computational Biology
• Cardiovascular Disease Genetics
• +۲ مورد دیگر

Tine Ustad Figenschou is a Professor at Oslo Metropolitan University in the Department of Journalism and Media Studies within the Faculty of Social Sciences. She is actively engaged in multiple research groups including Digital Journalism, Media Industries, Platforms and Politics (MIPP), and the Media Narrative Group (MNG). Her office is located at Pilestredet 48, 0167 Oslo (Office S454) and she can be reached at +47 924 36 104 (mobile) or +47 672 38 438 (office). Professor Figenschou's research focuses on alternative media, journalism studies, and political communication, particularly examining the relationship between mainstream journalism and its challengers. Her work explores how alternative media navigate the journalistic field, establish legitimacy, and interact with traditional media institutions, governance units, and the state. She has made significant contributions to understanding boundary work in the Nordic media model and the strategic action field of journalism. Her recent publications reveal a strong focus on media contestation, with particular attention to far-right media dynamics, alternative news ecosystems, and the evolving nature of journalistic authority in digital environments. The publications demonstrate a consistent analytical framework examining how media actors position themselves within broader media ecosystems and how they construct legitimacy through discourse and practice. Professor Figenschou leads and participates in significant research projects including 'Unpacking the modern working class: Life chances, social cohesion and recognition in an age of migration' and 'Far-right online and societal resilience (FREXO)', which examines how digital media has created new opportunities for far-right groups to produce and distribute content. She maintains an active research agenda with 73 scientific publications, 5 research reports, and 65 dissemination activities. Her collaborative work, particularly with Karoline Andrea Ihlebæk, represents a substantial portion of her output and demonstrates her strong position within the Nordic media studies research community.

• Media Studies
• Journalism
• Alternative Media
• +۷ مورد دیگر

Marit Mjøs serves as Professor of Special Education Pedagogy at NLA University College Bergen, where she actively researches inclusive educational practices and systemic collaboration between schools and psychological counseling services (PPT). Her work bridges academic theory with practical implementation in Norwegian educational contexts. Her educational background spans foundational teacher training to advanced academic specialization: PhD in Special Education, University of Oslo (2007) Middle Management Training, Statskonsult (2000) Master's in Pedagogy, NLA University College (1993) Special Education (2nd division), Bergen University College (1982) Special Education (1st division), Trondheim Municipal Teacher Training College (1977) Teacher Training, Trondheim Municipal Teacher Training College (1973) Mjøs's research centers on special education's transformative potential within inclusive systems. She examines the dynamic relationship between specialized and general education, advocating for innovative models where special education expertise elevates whole-school practices. Her work critically analyzes legislative frameworks for individually adapted education while documenting historical evolution of special education interventions. Analysis of her 15 most recent publications reveals consistent focus on collaborative innovation across educational levels. She documents how municipal governance structures enable or constrain inclusive practices, with particular emphasis on leadership roles in fostering school-PPT partnerships. Methodologically, her work combines qualitative case studies with action research, prioritizing practical implementation in real-world settings over theoretical abstraction. Professor Mjøs supervises master's students at NLA while leading externally funded projects including the NFR-supported SUKIP initiative (2019-2023) and the EU-funded INVESTT project (2012-2015). Her grant portfolio demonstrates sustained success in securing competitive research funding for applied educational innovation. She directs interdisciplinary research teams involving university partners (University of Stavanger), national agencies (Statped), and municipal PPT services. Current work focuses on implementing the SUKIP project's collaborative frameworks across Norwegian educational contexts through structured competence development programs.

• Special Education
• Inclusive Education
• Educational Policy and Reform
• +۶ مورد دیگر

Stefanie Reinhardt serves as an Associate Professor at the Institute for Nature, Health and the Environment within the Faculty of Technology, Natural Sciences and Maritime Studies at the University of South-Eastern Norway. She holds a PhD in mountain ecology from Telemark University College (2013) and a master's degree in nature conservation and forest ecology from Germany. Her educational background includes: PhD in Mountain Ecology (Telemark University College, 2013) Master's in Nature Conservation and Forest Ecology (Germany) Reinhardt's research centers on biodiversity conservation across alpine and tropical ecosystems, with emphasis on climate change impacts and endangered species protection. Her work spans Norwegian alpine regions—studying snow-dependent vegetation, shrub encroachment, and lichen heath dynamics—and Central American tropical systems, where she investigates keystone species like the Guatemalan beaded lizard, marine turtles, and Eurasian beaver. She actively addresses forest conservation challenges in Norway, highlighting conflicts between timber production and biodiversity protection, and advocates for science-based mapping of ecologically valuable forests to meet national commitments under the Nature Agreement. Analysis of her recent publications reveals consistent focus on species-environment interactions under climate stress. Her alpine research examines microclimatic feedbacks from vegetation changes, while tropical work tracks behavioral adaptations of endangered reptiles to drought and habitat fragmentation. Cross-cutting themes include habitat selection dynamics, climate variability impacts on nesting behaviors, and conservation strategies for red-listed species—unified by methodologies spanning field experiments, long-term monitoring, and biotelemetry. No scientific awards were mentioned in the source material. She supervises BSc, MSc, and PhD students while leading the DIKU project "Species at work," which integrates species knowledge into nature management education. International collaborations with Guatemalan and Colombian universities strengthen her field research, particularly on tropical biodiversity. Her public lecture series on forest protection demonstrates commitment to translating research into policy discussions about balancing economic interests with ecological preservation. Reinhardt's work operates at the nexus of experimental ecology and conservation practice, with ongoing projects examining how voluntary protection schemes can effectively conserve biodiversity in human-dominated landscapes while meeting Norway's 2030 protection targets.

• Biodiversity Conservation
• Climate Change Ecology
• Alpine Ecology
• +۳ مورد دیگر

Qixia Zhang is a Postdoctoral Research Fellow in Computer Science at UiT The Arctic University of Norway and a guest researcher at University of Oslo. Their research spans multiple cutting-edge domains including cloud/edge computing, AI and machine learning, distributed systems, energy efficiency, and IoT applications. Zhang is actively involved in several major research projects including HAPADS, MISO, EMLEMS, eX3, DILUTE, and AirQMan, which focus on environmental monitoring, energy efficiency, and advanced computing systems. Dr. Zhang completed their educational journey at Huazhong University of Science and Technology in China, earning a B.Eng. degree in 2016 and a Ph.D. degree in 2021. Additionally, they studied Economics at Wuhan University from 2014-2016. Their academic path demonstrates a strong interdisciplinary foundation combining computer science with economic perspectives. Zhang's research interests focus on the intersection of computing technologies and environmental sustainability. They investigate how edge and cloud computing architectures can be optimized for energy efficiency while supporting demanding applications like air pollution monitoring and renewable energy integration. Their work on machine learning applications spans multiple domains including wind energy forecasting, IoT data collection, and vehicular edge computing. The research demonstrates a consistent theme of applying computational intelligence to solve real-world environmental challenges. The publication record reveals a strong trajectory in both theoretical and applied research. Early work focused on network function virtualization and edge computing infrastructure, while more recent publications show increasing emphasis on environmental applications including air pollution monitoring, wind energy analysis, and climate-related computing challenges. The research demonstrates a clear evolution toward addressing sustainability challenges through advanced computing techniques, with recent publications heavily featuring Norwegian environmental contexts. Best Paper Award of IEEE/ACM IWQoS 2019 National Scholarship of China for PhD First-class Academic Scholarship Outstanding Graduate Award Excellent Student Cadre Scholarship Zhang serves as a guest editor for Journal Symmetry's Special Issue on Applications based on Symmetry in Machine Learning and Data Mining. They are actively involved in multiple research projects funded by the Research Council of Norway, including HAPADS, MISO, EMLEMS, eX3, DILUTE, and AirQMan. These projects represent significant funding commitments to advance computing technologies for environmental monitoring and energy efficiency. Zhang is also a member of the Arctic Green Computing (AGC) research group at UiT. Based at UiT's Department of Computer Science in Tromsø, Zhang collaborates with the Arctic Green Computing research group and maintains active connections with University of Oslo's Department of Informatics. Their research environment bridges theoretical computer science with practical environmental applications, leveraging Norway's unique position in Arctic research and renewable energy development. The recent guest researcher position at Karlsruhe Institute of Technology further demonstrates their international research network and collaborative approach.

• Cloud Computing
• Edge Computing
• Artificial Intelligence
• +۵ مورد دیگر