جست‌وجوی استاد و پژوهشگر

Karmenlara Ely Seidmanمشاهده پروفایل

استاد

• Performance and Artistic Research
• Ethics and Theater
• Relational Aesthetics
• +۷ مورد دیگر

Karmenlara Ely Seidman is a Professor and Artistic Director in Acting and Performance at the Norwegian Theatre Academy (NTA), Østfold University College, and a part-time Professor II at the School of Music, UiT The Arctic University of Norway. She holds a Ph.D. in Philosophy (2008) and an M.A. in Performance Studies (2001) from NYU's Tisch School of the Arts. Her research explores interdisciplinary intersections of performance, ethics, and cultural memory, with foci including: Relational aesthetics and embodiment in performance Intergenerational art practices and indigenous/diaspora knowledge systems Transatlantic archives and decolonial methodologies Experimental pedagogy and institutional reimagining Street performance and ritual/game structures Her publications emphasize performative archives, actor training, and ethical frameworks, frequently engaging with themes of cultural memory, embodiment, and institutional critique. Recent works demonstrate a strong focus on decolonial praxis and interdisciplinary collaboration. She leads major funded projects including: Sea Matters (2023–2026): Performance research pedagogy laboratory Spectral Collaborations (2019–2022): Performative entanglement in Nordic Transatlantic Slavery archives Infinite Record (2013–2017): Archive memory and performance She mentors PhD students internationally, serves on evaluation committees across Nordic institutions, and has developed innovative study programs bridging artistic practice and scholarly research.

Lilja Øvrelidمشاهده پروفایل

استاد

• Natural Language Processing
• Machine Learning
• Computational Linguistics
• +۳ مورد دیگر

Lilja Øvrelid is a Professor at the Department of Informatics, University of Oslo, leading the Language Technology Research Group. Her research focuses on syntactic and semantic text processing using machine learning techniques such as dependency parsing, negation analysis, and sentiment analysis. She teaches courses including IN1140: Introduction to Language Technology , IN5550: Neural Methods in NLP , and INF5830: Natural Language Processing . Her academic interests span natural language processing, machine learning, and computational linguistics, with a particular emphasis on Norwegian language technology. Recent publications highlight work in sentiment analysis (including patient feedback), event extraction from Norwegian news, benchmarking language models, emotion analysis for under-resourced languages (Pashto, Farsi-Dari), and bias detection in multilingual models. She actively contributes to the development of Norwegian language resources such as NorBench, NorQuAD, and NoReC. Current projects include BigMed and SIRIUS , focusing on biomedical text mining and AI infrastructure. Collaborations with colleagues like Erik Velldal, David Samuel, and Vladislav Mikhailov are frequent in her work. Despite no explicit mention of scientific awards, her contributions to NLP and computational linguistics are substantial through publications, datasets, and tool development.

Maria Sydnesمشاهده پروفایل

دانشیار

• Emergency Management
• Crisis Response
• Organizational Resilience
• +۴ مورد دیگر

Maria Sydnes serves as an Associate Professor in the Department of Technology and Security at UiT The Arctic University of Norway, Tromsø. Her academic work focuses on emergency management and organizational resilience within high-risk Arctic environments, with particular emphasis on maritime safety and cross-border crisis coordination between Norway and Russia. Her research interests span interorganizational coordination during emergencies, organizational learning for resilience building, and practical applications of lean production principles in crisis contexts. She investigates Arctic-specific challenges including avalanche response in Longyearbyen, oil spill management in polar waters, and integration of unorganized volunteers into formal emergency systems, consistently addressing the intersection of climate change impacts and security vulnerabilities. Analysis of her publication record reveals a strong trend toward interdisciplinary solutions for Arctic safety, with recurring themes of Norwegian-Russian cooperation, maritime risk assessment, and adaptive governance structures. Her work bridges theoretical frameworks with real-world case studies—from Svalbard waters to the Barents Sea—demonstrating practical approaches to disaster risk reduction in extreme environments. Dr. Sydnes actively participates in multiple research initiatives including the Climate Change Adaptation and Secure Societies groups. Her current projects encompass Co-producing knowledge about risk and safety of maritime activities around Svalbard SPRICE (spray icing modelling for maritime decision support) GLOBSEC (North-South security partnerships) NoCoU (civil security for Norwegian communities) Beredt! (risk-based governance for climate-driven natural hazards) highlighting her commitment to scalable, community-focused security solutions in vulnerable Arctic regions.

Iver Martensمشاهده پروفایل

مدرس

• Geoscience Education
• Work-Integrated Learning
• Internship Programs
• +۴ مورد دیگر

Iver Martens is a University lecturer in the Department of Geosciences at UiT The Arctic University of Norway in Tromsø, actively contributing to geoscience education and work-integrated learning initiatives. He is a member of the Geophysics, Glaciology and Oceanography research group and serves as office location Naturfagbygget 2.234. His research interests focus on practical orientation in academic programs, particularly through internship initiatives that bridge geoscience education with industry needs. Martens has developed significant expertise in work-integrated learning, with particular emphasis on how internship programs prepare students for future workforce challenges in geoscience disciplines. His work explores the long-term impacts of practical training on student development and industry relevance of academic programs. Analysis of his publication record reveals a clear trajectory from traditional geoscience research toward educational innovation. While his earlier work (2016-2019) focused on seismic interpretation, petroleum systems, and Barents Sea geology, his recent publications (2021-2025) demonstrate a strong shift toward geoscience education, internship program design, and work-integrated learning frameworks. This evolution reflects his commitment to enhancing the practical relevance of geoscience education. Martens leads and participates in significant educational projects including GeoPraksis and GeoIntern International, which aim to strengthen the connection between academic geoscience training and industry requirements. His work examines mentorship challenges, quality parameters in internships, and the long-term career impacts of work-integrated learning experiences. His contributions to geoscience education have established him as a thought leader in practical orientation within academic programs, with particular expertise in designing internship frameworks that address future workforce needs in geoscience disciplines.

• Robotics
• Artificial Intelligence
• Machine Learning
• +۳ مورد دیگر

Dr. Danesh Tarapore is an Associate Professor at the University of Southampton specializing in robotics and AI. He focuses on human-robot interaction, swarm intelligence, and autonomous systems. His current research involves developing resilient robotic teams and optimizing learning algorithms for constrained environments. He supervises 6 PhD students in the iPhD MINDS and Computer Science programs. Dr. Tarapore's work bridges theoretical advancements with practical applications in autonomous navigation, multimodal dataset creation, and quality-diversity optimization. His publications span conferences like HRI and journals in robotics and AI. He collaborates with institutions like the University Hospital Southampton and the Boldrewood Innovation Campus. Research Interests: Human-robot collaboration, swarm systems, machine learning, and adaptive control Key Contributions: HRI-SENSE dataset, evolutionary subset selection algorithms, forest navigation frameworks Grants and Funding: Active projects in multi-agent systems and resilient robotics Dr. Tarapore maintains active roles in the robotics community through conference participation and interdisciplinary collaborations.

• Organizational Change
• Employee-Driven Innovation (EDI)
• Leadership
• +۵ مورد دیگر

Oscar Amundsen is a Professor of Organization Studies at the Department of Education and Lifelong Learning within the Faculty of Social and Educational Sciences at NTNU. His research focuses on organizational change, employee-driven innovation (EDI), leadership, and organizational culture. He teaches in Master’s programs in 'Learning in Work Life and Society' and 'Management and Organisation', as well as the PhD program in Educational Science. His research emphasizes practical application of academic knowledge to improve organizations across public, private, and voluntary sectors. Key themes include fostering innovation through cultural transformation, leadership practices, and employee engagement. His recent book How to Become a Dream Organization (2025) outlines strategies for leaders to cultivate innovative and attractive workplaces. Amundsen has led research groups such as COOL (Conditions for Learning and Innovation in Higher Education and Work), COIN (Collaboration and Innovation), and LAS (Learning in Work Life and Society). His work bridges theory and practice, with publications in journals like International Journal of Learning and Change and Journal of Knowledge Management . He has authored multiple books on organizational change, innovation management, and leadership, many translated into Danish and Swedish. His outreach activities include media contributions (articles in Aftenposten , Adresseavisen , etc.), podcasts, and collaborative projects with organizations. He emphasizes translating academic insights into actionable strategies for real-world organizational challenges.

• Economics of Education
• Labor Economics
• Public Economics
• +۵ مورد دیگر

Damon Clark is an Associate Professor (with tenure) in the Department of Economics at the University of California, Irvine, within the School of Social Sciences. He is also affiliated with several prestigious research institutions, including the National Bureau of Economic Research (NBER), IZA Institute of Labor Economics, and the Institute for Fiscal Studies (IFS) in London. Research Interests: His primary research focuses on the economics of education, with additional expertise in labor economics and public economics. His work explores school choice, educational policy, the signaling value of credentials, and the long-term impacts of education on health and economic outcomes. He employs rigorous empirical methods, including field experiments and quasi-experimental designs, to evaluate educational reforms and policies. The most recent publications reflect a consistent focus on education policy evaluation, school effectiveness, peer effects, and human capital formation. His research often uses large-scale administrative datasets and natural experiments to identify causal effects, contributing significantly to debates on equity, accountability, and efficiency in education systems. Scientific Awards and Honors: UC Irvine Faculty Mentoring Award (2015–2016) Excellence in Refereeing Award, Journal of the European Economic Association (2003) Excellence in Refereeing Award, American Economic Review (2012) Excellence in Refereeing Award, Quarterly Journal of Economics (2011) National Academy of Education/Spencer Post-Doctoral Research Fellow (2007–2008) European Economic Association Young Economist Award (2005) Advising and Grants: While specific student names are not listed, his role as a tenured associate professor and principal investigator on multiple grants indicates active mentoring of graduate students. He has secured significant external funding from agencies such as the National Institutes of Health (NIH), the Institute of Education Sciences (IES), the WT Grant Foundation, and the Nuffield Foundation, supporting research on test-based retention, school access, and intergenerational education transmission. Labs and Research Teams: Clark collaborates extensively with researchers at institutions like NBER, IZA, IFS, and universities across the U.S. and Europe. His work is often conducted through collaborative research networks rather than a single lab, reflecting the interdisciplinary and policy-oriented nature of his scholarship.

Ann Bostromمشاهده پروفایل

استاد

• Risk Perception
• Risk Communication
• Risk Management
• +۷ مورد دیگر

Ann Bostrom is the Weyerhaeuser Endowed Professor in Environmental Policy at the Evans School of Public Policy & Governance, University of Washington, where she joined the faculty in 2007 after serving as Associate Dean for Research and Professor at Georgia Tech's Ivan Allen College. She co-directed the NSF Decision Risk and Management Science Program and serves on the AAAS and Washington State Academy of Sciences boards. Her educational background includes: Ph.D. in Public Policy Analysis, Carnegie Mellon University M.B.A., Western Washington University B.A. in English, University of Washington Postdoctoral studies in Engineering and Public Policy, Carnegie Mellon University Postdoctoral studies in cognitive survey methodology, Bureau of Labor Statistics Bostrom's research centers on risk perception, communication, and management in environmental policy and uncertain decision contexts. She investigates causal misconceptions about climate change, earthquake risk awareness, and pandemic risk communication, bridging social/behavioral sciences with weather and climate risk management through efficacy-focused frameworks. Her 2017-2021 publications reveal concentrated work on climate change communication, natural hazards, and pandemic risks. Key themes include causal thinking's impact on policy support, risk message design efficacy, and cross-cultural risk perception comparisons, frequently contributing to National Academies reports on science communication and hazard management. Major scientific recognitions include: 2020 Distinguished Educator Award (Society for Risk Analysis) 1997 Chauncey Starr Award Elected fellow of AAAS, WSAS, and Society for Risk Analysis ASA/NSF/BLS Research Associateship (1991-92) Fulbright Fellowship (1989-90) Patricia Roberts Harris Fellowship (1988-89) She has secured major funding from NSF, EPA, and NIH, currently co-leading the Cascadia Coastlines and Peoples Hazards Research Hub and NSF AI Institute for Trustworthy AI in Weather/Climate. Advisory roles include National Renewable Energy Laboratory Decision Science Committee and Earthquake Hazards Reduction Advisory Committee. At UW, Bostrom co-chairs Environments and Populations research in the Center for Studies in Demography and Ecology, serves on EarthLab's steering committee, and participates in the Program on Climate Change Governing Board, while maintaining affiliations with Carnegie Mellon's Center for Climate and Energy Decision Making.

• Machine Learning
• Artificial Intelligence
• Medical Imaging
• +۴ مورد دیگر

Elisabeth Wetzer is an Associate Professor in Machine Learning at the Department of Physics and Technology, UiT The Arctic University of Norway. Her research bridges artificial intelligence with healthcare applications, focusing on multimodal image registration, bias mitigation in AI, and physics-informed learning models. Current Role: Associate Professor, Machine Learning Group Research Themes: AI ethics, medical imaging, cross-modal representations, algorithmic fairness Her recent work explores technical challenges in PET imaging analysis and societal implications of AI bias. Collaborative projects span medicine, mathematics, and computer science disciplines. Key scientific contributions include: Physics-informed deep learning for PET image data Studies on multi-task learning efficacy in medical classification Research on gender bias in algorithmic systems She actively participates in diversity initiatives and public outreach, including presentations at Nobel laureate conferences and media engagements on AI ethics.

• Large-scale Agile Software Development
• Software Process Improvement
• Empirical Software Engineering
• +۲ مورد دیگر

Torgeir Dingsøyr is an Adjunct Chief Research Scientist and Research Professor in the Department of IT Management at Simula Metropolitan, a leading Norwegian research institute specializing in software engineering and digital technologies. His role encompasses both strategic research leadership and active empirical investigation into large-scale agile software development and software process improvement. Research Interests Large-scale agile software development methods and governance. Coordination and communication challenges in very large development programmes. Software process improvement (SPI) with emphasis on practical, evidence-based approaches. Teamwork effectiveness and autonomous teams in continuous deployment environments. Digital transformation project organization, particularly within Scandinavian contexts. Across more than two decades, Dingsøyr has produced influential handbooks and empirical studies that bridge the gap between SPI theory and industrial practice. His work increasingly addresses second-generation agile methods, emphasizing safety nets for high-risk development and autonomy at scale. Scientific Awards No specific awards listed in the provided text. Advising & Grants Dingsøyr collaborates extensively with industry and academic partners to secure funding for longitudinal case studies and improvement initiatives. While individual student names are not provided, his publications demonstrate active supervision and mentoring within multi-partner projects. Laboratory & Teams He operates within Simula Metropolitan’s research environment, contributing to interdisciplinary teams that unite software engineering researchers, data scientists, and industrial practitioners to advance empirical software engineering and agile transformation.

• Child Welfare
• Social Work
• Digitalization in Social Services
• +۳ مورد دیگر

Heidi Aarum Hansen is an Associate Professor at the Department of Welfare, Management and Organisation, Oslo Metropolitan University. She holds a PhD in Social Work with extensive practical experience in child welfare. Her research focuses on child welfare practices, digitalization challenges, children’s rights, and social media’s impact on social work. Education: PhD in Social Work. Research interests include competence development in child welfare, digital transformation of welfare services, and methods for teaching practical social work. Current projects explore how children's social media usage challenges traditional social work practices. Key research areas span child welfare policy analysis, family contact preservation strategies, and judicial decision-making processes involving children. Her work emphasizes ethical considerations in digital age practices and improving communication in high-conflict cases. Affiliated with the Social Work Research Group and Psychosocial Work Research Group. Active in publishing Nordic Social Work Research and Children and Youth Services Review. No awards explicitly listed, though her work demonstrates significant contributions to child welfare scholarship. Teaches courses related to child welfare practice and digitalization impacts. Advising activities not detailed here. Research focuses on developing practical frameworks for integrating digital tools while maintaining ethical standards in social work.

• Safe Reinforcement Learning
• Data-Driven Model Predictive Control
• Artificial Intelligence
• +۷ مورد دیگر

Sebastien Nicolas Gros is a Professor at the Department of Engineering Cybernetics, Norwegian University of Science and Technology (NTNU). His research focuses on safe reinforcement learning (RL) and data-driven model predictive control (MPC), with applications in energy systems, biomedical engineering, and autonomous vehicles. Institution: Norwegian University of Science and Technology Department: Engineering Cybernetics His work emphasizes AI-driven optimization for domestic energy storage, battery integration, and smart building management. Collaborations include Equinor, DNV, Kongsberg, Volvo, and CorPower Ocean. Key themes in his publications include: Control theory for renewable energy systems (wave energy converters, buildings) Biomedical applications (artificial pancreas, glucose monitoring) Transportation systems (electric vehicles, autonomous ships) Machine learning integration with physical models He supervises 6 PhD students and co-supervises projects on multi-rotor wind turbines and industrial PhD collaborations. The articles demonstrate a convergence of RL, MPC, and uncertainty quantification across energy, biomedical, and transportation domains.

Haakon Sundbøمشاهده پروفایل

مدرس ارشد

• Multimedia Technology
• E-Learning
• Photography
• +۱۶ مورد دیگر

Haakon Sundbø is a Senior Lecturer at the Department of Information and Communication Technology, University of Agder. He teaches courses such as Computer Science (DAT100), Multimedia Design (DAT104), Web Publishing (DAT110), Visual Design (DAT222), Sound Engineering (DAT228), ICT and E-learning in Vocational Subjects (PED978), and Didactic Use of Digital Tools (MM903). His academic responsibilities also include guest lecturing and supervision in ICT Project (DAT215), Photography (DAT227), Video (DAT229), Bachelor's Project (DAT303), Web and Online Knowledge (MM901), Remote Operated Vehicles (MM202), Interaction Design (MM403), and Technology for Teachers (TEKPED60). Materials, Energy and Nanotechnology (BSc, University of Oslo) Multimedia Technology and Design (BSc, University of Agder) Multimedia and Educational Technology (MSc, University of Agder) Haakon's research focuses on lifelong learning, e-learning platforms, interaction design, user experience, artificial intelligence in education, augmented reality, virtual reality, and digital competence development. He has contributed to projects like Decentralized Competence Development (DEKOMP), UiA Consense, and drone technology research at University of Agder. His recent publications analyze AI integration in teaching, digital frameworks for schools, screen usage guidelines, and collaborative learning networks. He also leads a research group on Multimedia and E-learning, emphasizing flexible digital resources and practical technology adoption in educational contexts.

Chong-Yu Xuمشاهده پروفایل

استاد

• Hydrological Modelling
• Climate Change
• Regional Evapotranspiration
• +۴ مورد دیگر

Prof. Chong-Yu Xu is a Professor of Hydrology at the University of Oslo's Department of Geosciences, affiliated with the Section for Geography and Hydrology (GeoHyd). He has held this position since 2005, having previously served as an Associate Professor at Uppsala University (1998–2005) and Assistant Professor (1994–1998). His research focuses on hydrological modeling, climate change impacts, regional evapotranspiration, and uncertainty analysis. He teaches courses such as GEO4310 (Stochastic Methods in Hydrology) and GEO4320 (Hydrological Modelling). Education: BSc in Hydrology (Nanjing University, 1978–1982), MSc in Regional Hydrological Modeling (Free University Brussels, 1986–1988), and PhD in Hydrological Modelling (Free University Brussels, 1988–1992). He has been honored with prestigious awards, including the NHF Lifetime Achievement Award (2022) and IWA Publishing Award (2022). He serves as an honorary professor at institutions like Hohai University and is a doctoral supervisor at multiple universities. His research spans global, regional, and local hydrological modeling, with a focus on climate change adaptation and water resource management. He leads projects such as the NORHED-II initiative on climate change and ecosystem management in Malawi and Tanzania. His work bridges theoretical hydrology with practical applications, including flood risk reduction and hydropower optimization. Publications highlight advancements in hydrological extremes, non-stationary drought assessment, and AI-driven flood prediction. Collaborative efforts with international networks like the Nordic Hydrological Association underscore his global impact in hydrological sciences.

• Artificial Intelligence
• Machine Learning
• Medical Technology
• +۷ مورد دیگر

Anis Yazidi is a Professor at Oslo Metropolitan University, affiliated with the Faculty of Technology, Art and Design and the Department of Information Technology. His research focuses on Artificial Intelligence, Machine Learning, Medical Technology, and IoT Security, with a particular emphasis on Applications of AI in Healthcare, EEG Signal Processing, and Digital Transformation. Active research projects include AI Mind (dementia diagnostics), Glycopathology in dry eyes, and Pain and mental distress analysis Completed projects: Digital hate speech analysis, AI in reproductive technology, Nano-antibiotics development His recent publications (2023-2025) demonstrate expertise in: Tsetlin Automaton algorithms for concept learning EEG classification using visibility graphs and vision transformers AI ethics frameworks for medical practice Deepfake detection methodologies Collaborative work spans institutions in Norway, Czech Republic, and international AI research communities.