جست‌وجوی استاد و پژوهشگر

Michal Kozákمشاهده پروفایل

پژوهشگر ارشد

• Sociology
• Political Economy
• Work Values
• +۴ مورد دیگر

Michal Kozák is a Postdoctoral Fellow affiliated with the University of Bergen's Department of Sociology and PROMENTA's research projects focusing on marginalization pathways and mental health gradients. His academic background includes a PhD from the University of Bergen (2020) and a visiting Fulbright fellowship at the University of North Carolina at Chapel Hill (2019-2020). He specializes in sociological analyses of work values, labor market dynamics, and quantitative methodologies. His research incorporates panel data, multilevel modeling, and comparative surveys to explore topics such as adolescent work attitudes, pandemic impacts on mental health, and the political economy of labor policies. Notable projects include analyzing how early-life work values influence adult socioeconomic outcomes and investigating automation-related job insecurity across Europe. Methodologically, he emphasizes rigorous statistical techniques and large-scale cross-national data. Key awards include the Fulbright Scholarship (2018) and the Utrecht Network Young Researchers Grant (2019). His work has been published in venues like Nature Mental Health , Journal of Education and Work , and European Societies . Current research leverages Norway’s 'Young in Norway' survey panel to study how adolescent aspirations shape adult trajectories in employment, well-being, and social status. He collaborates with interdisciplinary teams on projects addressing mental health disparities and healthcare accessibility, such as analyzing geographic disparities in psychologist coverage within Norway's public health system.

Fernando Stipanicicمشاهده پروفایل

استادیار

• Innovation
• International Trade
• Spatial Economics
• +۲ مورد دیگر

Fernando Stipanicic is an Assistant Professor (tenure-track) in the Department of Economics at the University of Oslo, Faculty of Social Sciences. He is actively engaged in research and academic teaching, with a focus on innovation, international trade, and spatial economics. Prior to his current position, he was a Postdoctoral Researcher at the Haas School of Business, University of California, Berkeley. Education: Ph.D. in Economics, Toulouse School of Economics (2022) Fernando's research lies at the intersection of innovation and spatial economics, with a particular interest in how knowledge is created and diffused across regions and industries. His work also extends into international trade and industrial organization, employing theoretical and empirical methods to understand firm behavior and market dynamics. He combines economic theory with data-driven analysis to address pressing questions in modern economics. The trends in his publications reveal a strong focus on the economics of innovation and strategic interaction in markets. His work spans historical analysis of technological diffusion and theoretical modeling of firm competition, indicating a versatile methodological approach that bridges empirical and theoretical economics. Scientific Awards: Fernando Stipanicic advises students and contributes to academic grants, though specific advisees and funded projects are not publicly listed. He is likely involved in research collaborations and funding applications aligned with his expertise in innovation and trade. He is affiliated with the Department of Economics at the University of Oslo, which hosts various research groups in applied and theoretical economics, though no specific lab or research team is mentioned in the provided text.

Johanna Conterioمشاهده پروفایل

دانشیار

• Environmental History
• History of Medicine
• Medical-Environmental Humanities
• +۱۵ مورد دیگر

Johanna Conterio is an Associate Professor in the Department of Archaeology, Conservation, and History at the University of Oslo’s Faculty of Humanities. Her research centers on environmental and medical history in the Soviet Union and modern Russia, with a focus on the Black Sea region and transnational contexts. Her educational background includes a PhD and MA in History from Harvard University and a BA in Comparative Literature from Yale University. Prior to joining the University of Oslo, she served as a Lecturer in International and European History at Flinders University, Australia, and as a postdoctoral research fellow at Birkbeck College, University of London. Conterio’s research explores the intersections of environment and health, nature protection, urban planning, and maritime environments in the Soviet context. She applies frameworks from the environmental humanities, particularly the 'post-Pasteurian' turn, to challenge assumptions about the decline of environmental medicine in the 20th century. Her work reveals a distinct socialist model of natural healing that integrated ecological understanding into medical practice, architecture, and urban landscapes. Her recent publications span topics such as bactericidal lamps in Soviet medicine, citrus acclimatization, urban greening, and the Sovietization of the Black Sea coast. These works reflect a sustained engagement with how scientific knowledge, environmental management, and public health were co-constructed in socialist states. Her research often highlights transnational scientific networks and the adaptation of foreign technologies. Alexander von Humboldt Foundation Research Fellowship for Experienced Researchers (2022–2024) Fellow, Rachel Carson Center for Environment and Society, Munich (2020–2021) Title VIII Summer Research Scholar, Kennan Institute (2019) Kathleen Fitzpatrick Visiting Fellow, University of Sydney (2017) Dumbarton Oaks Dissertation Completion Fellowship (2013–2014) Foreign Language and Area Studies Fellowship (2011–2012) Fulbright-Hays Doctoral Dissertation Research Abroad Award (2010–2011) Conterio has secured multiple grants for research and conference organization, including funding from the Wellcome Trust, the Society for the Social History of Medicine, and UiO: Life Sciences. She has advised or mentored no formally listed students to date. Since January 2024, she leads the Multispecies Landscapes Lab, a sub-project of the Oslo Center of Environmental Humanities, fostering interdisciplinary collaboration on ecological and historical questions. She also contributes to academic discourse through curated forums in journals like Kritika and edited volumes on health and disease in Eurasian history.

Knut Reidar Wangenمشاهده پروفایل

دانشیار

• Health Economics
• Healthcare Policy
• Health Outcomes Research
• +۳ مورد دیگر

Knut Reidar Wangen is an Associate Professor at the University of Oslo's Department of Health Management and Health Economics. His work focuses on health economics, policy, and outcomes research, with emphasis on healthcare systems in both Norway and global contexts. He has contributed to studies on cost-effectiveness, vaccination strategies in China and Africa, and healthcare access disparities. His research often intersects with epidemiology and public health, addressing issues like opioid use, mental healthcare referrals, and chronic disease management. Key research areas include: healthcare cost analysis, vaccination policy in low-resource settings, and the impact of socioeconomic factors on health outcomes. He has published extensively in journals such as British Journal of General Practice Open , Health Policy and Planning , and Human Vaccines & Immunotherapeutics . His projects include NORCHER – Norwegian Centre for Health Services Research and the NutriMind Project, reflecting interests in both practical health system improvements and interdisciplinary research. No formal awards are listed in the provided text.

Kosio Beshkovمشاهده پروفایل

پژوهشگر ارشد

• Topological Data Analysis
• Deep Neural Networks Theory
• Neural Manifold Analysis
• +۳ مورد دیگر

Kosio Beshkov is a Postdoctoral Fellow in Condensed Matter Physics at the University of Oslo, specializing in the intersection of topological data analysis and machine learning. His research focuses on theoretical frameworks for understanding neural network representations and biological neural systems. His primary research interests include: Theory of deep neural networks in overparametrized regimes Topological data analysis of neural manifolds De novo protein design using evolutionary algorithms and geometric modeling Connections between network representations and topological spaces Recent publications demonstrate strong trends in computational neuroscience, with 7 papers from 2021-2025 spanning journals like PLoS Computational Biology and iScience. His work consistently applies polyhedral geometry, quotient spaces, and homology to neural representation problems, while expanding into protein language models and gene therapy applications. Current technical approaches combine: Topological data analysis for high-dimensional neural data Geometric deep learning for robust representations Biophysically-detailed neuron modeling Protein structure-geometry relationships

Torbjørn Håkan Ergonمشاهده پروفایل

دانشیار

• Ecological statistics
• Life-history theory
• Population dynamics
• +۵ مورد دیگر

Torbjørn Håkan Ergon is an Associate Professor at the University of Oslo's Department of Biosciences, working at the Centre for Ecological and Evolutionary Synthesis (CEES). He also serves as the director of the Finse Alpine Research Center and is an associate editor of Methods in Ecology and Evolution. His educational background includes: BSc and MSc from the University of Bergen PhD from the University of Oslo Additional PhD work at the University of Aberdeen, Scotland He completed a post-doctoral fellowship at Patuxent Wildlife Research Centre (Maryland) and University of Tromsø, and has conducted research at University of Otago (New Zealand), University of Wellington (New Zealand), University of California, Berkeley, and Cornell University (NY). Ergon's research focuses on understanding variation in life-history traits and demographic rates within populations and linking this to population level patterns and processes such as delayed density dependence. His work combines theoretical and empirical approaches, with particular emphasis on developing statistical models to estimate (correlated) distributions of latent life-history traits within populations. This research has significant implications for evolutionary processes, especially the evolution of phenotypic plasticity in life-history traits. His broader research interests include long term bird population studies, bioacoustics, and statistical modeling in ecology. His research spans multiple areas including small rodent population dynamics, seabird ecology, and the development of innovative statistical methods for ecological data analysis. Ergon has led and participated in numerous research projects including BIODIVTRENDS, studies on Fennoscandian bird populations, fishing-induced eco-evolutionary changes, and spatio-temporal dynamics of small rodents. Ergon teaches several courses at the University of Oslo: Design and analysis of biological studies (BIOS3000/4000) Alpine Ecology (BIOS5312/9312) Terrestrial Zoology (BIOS2210) Life history strategies and climate effects (BIOS 5112/BIOS 9112) His scientific work has been widely cited, with 78 publications accumulating over 19,000 reads and 2,600+ citations according to ResearchGate. His research has been published in leading journals including Nature, Proceedings of the National Academy of Sciences, Journal of Animal Ecology, Ecology, and Methods in Ecology and Evolution. As an associate editor for Methods in Ecology and Evolution, Ergon plays an important role in advancing methodological approaches in ecological research. His leadership of the Finse Alpine Research Center facilitates important alpine ecosystem studies in Norway.

Torbjørn Skardhamarمشاهده پروفایل

استاد

• Criminology
• Criminal Careers
• Substance Use Disorders
• +۵ مورد دیگر

Torbjørn Skardhamar is a Professor at the University of Oslo's Department of Sociology and Social Geography. His research focuses on criminology, criminal careers, substance use disorders, and public health. He has conducted extensive studies on desistance from crime, the impact of life-course transitions (e.g., employment, marriage, parenthood), and policy evaluations regarding nightlife violence and prison reforms. Notable collaborations include projects like PriSUD and WOMPRIS, addressing substance use among incarcerated populations and women's health post-release. Skardhamar’s work often employs register-based data and longitudinal analyses, emphasizing evidence-based policy recommendations. Recent publications include studies on vulnerable urban areas, mortality among incarcerated women, and the effects of environmental factors (e.g., weather) on crime. He has contributed to debates on open-access publishing standards, advocating for robust peer-review systems. His expertise spans criminal justice policy, socioeconomic disparities, and interdisciplinary approaches to crime reduction.

Hakan Heggernesمشاهده پروفایل

استادیار

• Structural Geology
• Basin Studies
• Geodynamics
• +۳ مورد دیگر

Hakan Heggernes is an Assistant Professor in the Department of Earth Science at the University of Bergen. His research focuses on structural geology, geodynamics, and basin studies, particularly examining deformation bands, fluid flow dynamics, and diagenetic processes in sedimentary rocks. He is affiliated with the Geodynamics and Basin Studies research group. His work includes analyses of deformation band networks in Jurassic Entrada Sandstone (Utah), fluid flow along basin-bounding faults (e.g., Helmsdale Fault, Scotland), and the interplay between tectonics and geomorphology in arid regions. Recent studies explore spatial variability in rock permeability and connectivity patterns. Heggernes has contributed to peer-reviewed publications in journals like Journal of Structural Geology and presented at conferences such as the European Meeting of Environmental and Engineering Geophysics. His research integrates field observations, laboratory analysis, and computational modeling to address questions in structural geology and basin evolution.

Svein Jentoftمشاهده پروفایل

استاد

• Fisheries Governance
• Small-Scale Fisheries
• Blue Justice
• +۷ مورد دیگر

Svein Jentoft is a Professor at UiT The Arctic University of Norway, affiliated with the Faculty of Economics and Business Administration. He is a leading scholar in fisheries governance, small-scale fisheries, and Blue Justice, contributing extensively to policy and academic discourse on marine resource management. His work emphasizes equity, collective action, and the integration of traditional knowledge in sustainable ocean economies. University: UiT The Arctic University of Norway School: Faculty of Economics and Business Administration Research Group: Marine Resource Management and Development (MARA) Project: Governance challenges for sustainable small-scale fisheries (Too big to ignore) His research interests center on social justice in fisheries, particularly through the lens of Blue Justice, which advocates for equitable treatment of small-scale fishers in ocean governance. He explores governance models, legal pluralism, and the role of community-based institutions in managing marine resources sustainably. His work often bridges theory and practice, emphasizing transdisciplinary approaches and participatory research. The recent publications highlight a strong thematic focus on equity, governance transformation, climate resilience, and the socio-cultural dimensions of small-scale fisheries. His scholarship critiques dominant narratives like the 'tragedy of the commons' and advances alternative frameworks that recognize collective stewardship and justice in marine systems. Notable scientific contributions include conceptualizing Blue Justice, analyzing governance misalignments, and promoting inclusive policy frameworks. While no formal awards are listed, his extensive publication record in high-impact journals and books with Springer, FAO, and PNAS underscores his influence in the field. Jentoft has advised and collaborated with numerous researchers globally, particularly in transdisciplinary fisheries projects. He has contributed to major initiatives like the 'Too big to ignore' network, which supports small-scale fisheries globally. His work often involves capacity building, policy engagement, and knowledge co-production with fishing communities. He is a core member of the Marine Resource Management and Development (MARA) research group and actively involved in projects addressing governance challenges in small-scale fisheries. His collaborative networks span multiple continents, reflecting a commitment to global justice and sustainable development in marine sectors.

Keshav Prasad Paudelمشاهده پروفایل

استاد

• Geographic Information Systems (GIS)
• Remote Sensing
• Marine Resource Management
• +۳ مورد دیگر

Keshav Prasad Paudel is a Professor at the Norwegian College of Fishery Science, UiT The Arctic University of Norway, with a focus on GIS and marine resource management. His career spans academic research, teaching, and technical roles in environmental studies. Education : PhD in Geography (2011), M.Phil in Mountain Ecology (2006) from University of Bergen; MA (2001) and BA (1999) in Geography/Economics from Tribhuvan University. His research integrates GIS/Remote Sensing with socio-ecological system analysis, emphasizing coastal zone planning, marine spatial policy, and climate change impacts on Himalayan and Arctic systems. Recent publications highlight ecosystem services mapping , fisheries data modeling , and spatio-temporal marine activity analysis . He contributes to the Marine Resource Management (MARA) group and leads the PhD project Use of Geodata in Coastal Zone Management , combining academic rigor with practical applications. His teaching portfolio includes basic pedagogical competence (2018–2019) and a focus on student-centered learning .

• Environmental Risk Analysis
• Waste Management
• Environmental Pollution Monitoring
• +۷ مورد دیگر

Jinmei Lu is a Professor in the Department of Technology and Security at UiT The Arctic University of Norway, actively contributing to research and teaching in environmental and technological safety domains. Her primary affiliation is with the Sustainable Technology and Safety (STS) research group and the nICE project, based in Tromsø. Her research interests focus on Environmental Risk Analysis and Assessment , Waste Management , Environmental Pollution Monitoring , and Environmental Pollution Prevention and Mitigation . Her work employs advanced modeling and statistical techniques to understand the environmental impacts of mining, shipping, and climate change in the Arctic. The 15 most recent publications reveal a strong trend in applying hydrological and reliability models to Arctic environmental challenges. Key themes include the leaching of heavy metals from mine tailings under varying temperatures, atmospheric emissions from Arctic shipping, hydrological modeling in permafrost regions, and reliability analysis of engineering systems. The research utilizes methods from machine learning, statistical modeling, and environmental simulation. Her scientific contributions are disseminated through high-impact journals in environmental science, engineering, and sustainability. Jinmei Lu is an active advisor and collaborator, with a long-standing research partnership with Fuqing Yuan and other colleagues. Her work is supported by institutional affiliations and research projects focused on Arctic sustainability. She teaches courses such as SVF-1201 (Environmental Vulnerability in the Arctic), SIK-2004 (HSE Risk Analysis and Management), and SVF-3207 (Resilience). She is a key member of the Sustainable Technology and Safety (STS) research group and the nICE project, which are central to her collaborative research on Arctic environmental and engineering challenges.

Baltasar Enrique Beferull Lozanoمشاهده پروفایل

استاد

• Data Science
• Machine Learning
• Signal Processing
• +۳ مورد دیگر

Baltasar Enrique Beferull Lozano is a tenured Professor at the University of Agder , leading the Center Intelligent Signal Processing and Wireless Networks (WISENET) since 2015. With a PhD in Electrical Engineering from USC (2002) and prior roles at EPFL, AT&T Shannon Labs, and University of Valencia, his career spans 20+ years of academic and industrial research in signal processing, wireless systems, and AI. Education: PhD (USC), MSc (USC), MSc (University of Valencia) Expertise: Data Science, Machine Learning, Graph Signal Processing, Cyber-Physical Systems His research focuses on AI-driven wireless networks and in-network collective intelligence , addressing fundamental and applied challenges in smart water systems , energy management , and next-gen 5G/6G . He has secured 20+ international projects including 10 EU-funded initiatives (HYDROBIONETS, SENDORA) and 5 RCN-funded projects. Recent publications emphasize dynamic graph learning from time series data, quantized graph filters , and multi-agent reinforcement learning for networked environments. Awards include IEEE Best Paper Awards (2012, 2021), TOPPFORSK Grant (2015), and Ramón y Cajal Program Rank #1 (2005). As a Senior IEEE Member , he serves as Area Editor for IEEE Transactions on Signal Processing and evaluates research proposals for the European Commission , NSF , and Qatar National Research Fund . His lab has produced 15 PhD graduates and collaborates with 12+ industry partners including Telenor, IBM, and SINTEF.

Leif Atle Beislandمشاهده پروفایل

استاد

• Accounting
• Finance
• Microfinance
• +۴ مورد دیگر

Leif Atle Beisland is Professor of Financial Analysis at the Department of Economics and Finance, School of Business and Law, University of Agder. He holds a PhD in Accounting from NHH Norwegian School of Economics and maintains an active research profile focused on financial analysis and microfinance. Previously, he worked professionally as an auditor at Ernst & Young and as a risk manager/portfolio manager at Agder Energi. Education: • PhD in Accounting, NHH Norwegian School of Economics Research Focus: Professor Beisland's research spans two primary domains: 1) Value relevance of accounting information and accounting standards' impact on corporate hedging strategies, and 2) Microfinance performance measurement and inclusion mechanisms for vulnerable populations. His recent work emphasizes social performance metrics, gender dynamics in lending, and environmental sustainability in microfinance. Methodologically, he employs global surveys, econometric analysis, and case studies across developing economies. Publication Trends: His scholarly output (2011-2024) demonstrates a consistent focus on microfinance institutions' dual financial-social mission. Recent articles analyze credit risk moderation through female leadership, international ownership impacts, and environmental performance. Earlier foundational work established frameworks for accounting quality assessment and disability inclusion in financial services. Academic Leadership: Supervises multiple PhD candidates and numerous master's students in International Business Teaches undergraduate/graduate courses: BE-316 Valuation and BE-414 Financial Statement Analysis Maintains research collaboration with NHH Norwegian School of Economics Serves in editorial/reviewer capacities for multiple finance and accounting journals

Kushagri Tandonمشاهده پروفایل

پژوهشگر ارشد

• Spatio-temporal Statistics
• Climate Extremes Modeling
• Precipitation Analysis
• +۶ مورد دیگر

Kushagri Tandon is a Doctoral Research Fellow at the Department of Statistics and Data Science, University of Oslo, affiliated with the Faculty of Mathematics and Natural Sciences. Her research develops advanced statistical models for spatio-temporal processes to improve prediction of climate extremes, particularly precipitation patterns in Norway's Oslofjord region. She investigates how temperature-precipitation interactions and local weather memory influence rainfall simulations. Research Focus: Kushagri's work integrates Bayesian methods (Neural Networks, Inference, PAC Bayes) with spatio-temporal modeling to enhance climate resilience planning. Key interests include: Capturing space-time dependencies in high-resolution climate data Developing flexible models for extreme weather events Improving forecasting accuracy through historical pattern analysis Applications in Norwegian climate adaptation strategies Education: M.Sc. Mathematics (Ranked 1 st , CGPA 9.944) - Indian Institute of Technology Delhi B.Sc. Honors Mathematics (CGPA 9.405) - Lady Shri Ram College, University of Delhi Teaching Experience: Has taught undergraduate and graduate courses including: Statistical Inference Advanced Probability Theory Nonparametric Statistical Inference Multivariate Statistical Methods Supervision: Advised by Prof. Thordis Linda Thorarinsdottir (Principal) and Prof. Geir Olve Storvik (Co-supervisor).

• Health Economics
• Education Economics
• Family Economics
• +۵ مورد دیگر

Krzysztof Karbownik is an Assistant Professor in the Department of Economics at Emory University, with affiliations at CenEA, CESifo, IZA, and NBER. During the 2025-2026 academic year, he will serve as a visiting fellow at Stanford University's Hoover Institution. His educational background includes a PhD in Economics from Uppsala University (Sweden, 2013), a Master's in Economics, and Bachelor's/Master's degrees in Quantitative Methods from Warsaw School of Economics (Poland). Prior to Emory, he was a postdoctoral research fellow at Northwestern University's Institute for Policy Research. Dr. Karbownik specializes in applied microeconomics at the intersection of health, family, education, crime, environmental, and labor economics, with particular emphasis on child development and human capital formation. His research leverages population-level administrative data to analyze causal relationships in education policy, health outcomes, and intergenerational transmission. Recent work examines minority integration in classrooms, birth order effects across historical periods, and labor market impacts of employment protection legislation. His publication portfolio shows consistent output in top journals including American Economic Review and Journal of Labor Economics, with recent focus shifting toward long-run historical analysis (e.g., 19th century birth order effects) while maintaining core interests in education policy and health economics. The research demonstrates methodological diversity through regression discontinuity designs, twin fixed effects models, and large-scale administrative data linkage. Dr. Karbownik's work has received significant media attention, featuring in the New York Times, Wall Street Journal, NPR, Washington Post, and international outlets. His research on fast food exposure effects and mental health transmission has generated particular public interest. As a faculty member, he maintains active research collaborations across institutions (evidenced by multi-institutional working papers) and participates in major data initiatives like the Global COVID-19 Student Survey. His current sabbatical planning indicates ongoing engagement with policy-relevant research at top think tanks.