جست‌وجوی استاد و پژوهشگر

• Artificial Intelligence
• Physics
• Computer Technology
• +۴ مورد دیگر

Pedro Lind is a Professor at Oslo Metropolitan University's Faculty of Technology, Art and Design, where he serves in the Department of Information Technology with a focus on Artificial Intelligence. His academic appointments include active participation in research groups for Applied Artificial Intelligence and Mathematical Modeling. Dr. Lind's research spans interdisciplinary domains including: Biomedical AI applications (EEG classification, ECG analysis, eye tracking) Stochastic processes and complex systems modeling Trustworthy machine learning for security/privacy Physics-inspired computational methods Renewable energy statistics and modeling His recent publications demonstrate strong focus on developing novel AI methodologies for medical diagnostics (2024-2025), particularly using generative models and interpretable AI approaches for physiological data analysis. He leads significant research initiatives including the AI-Mind project developing diagnostic tools for dementia. Additional projects include international technology transfer collaborations with Czech Republic institutions. Dr. Lind maintains active research teams and labs focused on computational neuroscience and applied AI.

Kana Bannoمشاهده پروفایل

پژوهشگر ارشد

• Salmon Aquaculture
• Fish Behaviour
• Fish Welfare
• +۴ مورد دیگر

Kana Banno is a PhD Research Fellow at the Department of Biological Sciences Ålesund, Faculty of Natural Sciences at the Norwegian University of Science and Technology (NTNU). Her research focuses on salmon aquaculture, with particular emphasis on fish behavior and welfare in commercial sea cages. She utilizes advanced technologies including underwater cameras, ROVs, echosounders, and sonars for aquaculture monitoring. Banno earned her PhD in Biology from NTNU in 2025, following an MSc in Biology with a focus on aquaculture and genetics from UiT The Arctic University of Norway in 2019. Her educational background includes: PhD in Biology, NTNU (2025) MSc in Biology (Aquaculture & Genetics), UiT The Arctic University of Norway (2019) Banno's research interests center around understanding fish behavior as an indicator of welfare and health in aquaculture settings. She investigates how environmental factors affect the distribution and behavior of Atlantic salmon in commercial sea cages. Her work bridges biology and engineering through the integration of technology for monitoring purposes. She has particular expertise in using computer vision and artificial intelligence to identify growth-stunted salmon and monitor wild fish interactions around aquaculture sites. Her research contributes to developing more sustainable and welfare-conscious aquaculture practices. Analysis of her publication record reveals a strong focus on technological applications in aquaculture monitoring, with particular emphasis on computer vision, sonar technology, and multi-sensor integration. Her work spans both practical applications for the aquaculture industry and fundamental research on fish behavior. The publications show a progression from molecular genetics (her master's work on salmon lice) to more applied technological solutions for monitoring fish welfare in commercial settings. Her notable achievements include: Featured in 'Women in aquaculture' series by The Fish Site (2021) Research on AI for wild fish monitoring highlighted by Norwegian SciTech News (2021) Banno teaches BIA3003 Introduction to scientific method (2024 Autumn) and has been actively involved in the InnoSEA project (Innovations for Sustainable sEabased Aquaculture). Her fieldwork involves regular visits to salmon farms approximately 1.5 hours from her base, where she monitors salmon behavior using underwater cameras and remotely operated vehicles. She collaborates extensively with researchers from multiple countries including Argentina, China, Germany, Japan, and Norway. She maintains strong connections with the aquaculture industry, having previously worked at FRD Japan, a land-based RAS facility producing rainbow trout, where she gained practical experience in fish farming operations before transitioning to research.

Elin Strand Larsenمشاهده پروفایل

دانشیار

• Media and Journalism
• Fake News
• Fact Checking
• +۴ مورد دیگر

Elin Strand Larsen serves as an Associate Professor in the Department of Information Technology and Communication at Østfold University College, where she is Deputy Head of the Area Studies Research Group (AreaS) and contributes to the Digital Communication (DIGICOM) research group. Based in Halden, she teaches core courses in the Bachelor in International Communication and Bachelor in Digital Media and Design programs, including spring 2024 coordination of Media Studies (SFB50316) and supervision of bachelor theses (SFB58022). Her academic foundation stems from a 2014 PhD in media and journalism from the University of Oslo, where her dissertation When a woman has to apologize... Mediated scandals, female politicians and rhetorical defense strategies analyzed rhetorical defenses by eight female politicians and trade union leaders during political scandals. This work established her expertise in gendered political communication and apology rhetoric. Dr. Larsen's research centers on media integrity in digital environments, with key interests spanning fake news and fact-checking mechanisms, political scandal dynamics, female politicians' rhetorical strategies (apologia), and crisis communication frameworks. Her work critically examines how misinformation spreads during conflicts like the Israel-Hamas war, how female politicians navigate media scandals, and how trust erodes in polarized digital societies—often revealing gendered double standards in political accountability. Analysis of her 15 most recent publications (2015-2024) shows persistent engagement with misinformation combat through fact-checking initiatives (e.g., CrossCheck), rhetorical analysis of political crises, and interdisciplinary explorations of borders/trust in digital societies. Her scholarship frequently appears in edited volumes on trust, alliances, and border studies, demonstrating strong collaborative patterns with researchers like Franck Orban and Sondre Lindahl. As an educator, she integrates research into bachelor-level teaching on media systems and digital design, emphasizing real-world applications of crisis communication theory. Her leadership in AreaS and DIGICOM facilitates cross-disciplinary projects examining digital society challenges, though specific lab structures or grant funding isn't detailed in available texts.

Silje Anderdal Bakkenمشاهده پروفایل

پژوهشگر ارشد

• Digital criminology
• Qualitative methods
• Illegal markets
• +۵ مورد دیگر

Silje Anderdal Bakken is a Postdoctoral Fellow at the Department of Criminology and Sociology of Law, Faculty of Law, University of Oslo. She is actively engaged in research on digital criminology with a focus on illegal markets, social media, and drug-related activities in digital spaces. She contributes significantly to the ERC-project "Digital DNA" led by Mareile Kaufmann, examining the evolving relationship between technology, DNA, and evidence. Her educational background includes a PhD from the Department of Sociology at University of Copenhagen with a dissertation titled Drug dealing on social media. A sociological study of risk, trust, and capital in illegal markets . She also holds Master's and Bachelor's degrees in criminology from the University of Oslo, and a Bachelor's degree in sociology from the University of Bergen. In 2022-2023, she worked as a university lecturer at IKRS. Bakken's research interests center on digital criminology and qualitative methods, particularly digital ethnography and digital interviews. Her work explores how illegal drug markets operate on social media and darknet platforms, examining risk, trust, and capital formation in these digital environments. She investigates the visual aspects of online drug markets, the transition from traditional dealing to social media influencing, and the development of digital capital in illegal markets. Her publication record reveals a strong focus on the intersection of digital technology and criminology, with particular emphasis on social media platforms as venues for illegal drug markets. Her research demonstrates methodological innovation through the development of app-based textual interviews and visual analysis of digital criminal spaces. The work spans theoretical contributions to criminological understanding of digital markets while maintaining empirical grounding in Nordic contexts. Bakken teaches and supervises across multiple courses at bachelor's and master's levels, including KRIM1100 Introduction to criminology, KRIM2963 and KRIM4963 Crime and technology, and various thesis supervision courses. Her teaching responsibilities cover qualitative methods at both undergraduate and graduate levels, reflecting her expertise in digital research methodologies. She is affiliated with several research groups including Law and Technology (JOT), Police and Technology, and thematic groups focused on Digital criminology, Research ethics, and Criminological theory. Her current work on the ERC-project "Digital DNA" represents a significant expansion of her research into the relationship between consumer DNA testing and law enforcement practices.

• Image Processing
• Machine Learning
• Artificial Intelligence
• +۷ مورد دیگر

Dilip K. Prasad is a Professor at the Department of Informatics, UiT The Arctic University of Norway. His work bridges Artificial Intelligence and Medical Imaging , with a focus on Interpretable AI , Scalable AI , and Life Science Applications . He has contributed to Maritime Technology and Biomedical Engineering . Ph.D. and B.Tech from Nanyang Technological University and IIT Dhanbad Senior Research Fellow at NTU (2015-2019), Research Fellow at NUS (2012-2015) Industry experience at IBM, Infosys, Mediatek, Philips His research explores Image Processing , Machine Learning , and AI Applications in Biomedicine . Recent work includes Dense Video Captioning , 3D Mitochondrial Modeling , and Physics-Guided Loss Functions . Articles span Neurocomputing , Optics Express , and top AI conferences like CVPR and NeurIPS . Prasad has received the Rolls-Royce Inventor Award (2016) and Best Paper Award (IJCIE 2017) . He has reviewed for 50+ journals and 30+ conferences, serving as Area Chair for NeurIPS 2022-23 and Organizer Chair for ICCV Workshop 2023 .

• Artificial Intelligence
• Machine Learning
• Bayesian Statistics
• +۶ مورد دیگر

Hugo Lewi Hammer er professor ved Oslo Metropolitan University, tilhørende Faculty of Technology, Art and Design og Department of Information Technology – Mathematical Modeling . Hans forskning fokuserer på forbedring av pålitelighet og transparens i maskinlæring, forsterkende læring og dyb læringsmodeller gjennom metodikk innen modelltolkning, usikkerhetskvantifisering, robust statistikk og kausal inferens. Hans nylige arbeid inkluderer: AI-drevet optimering i assistert reproduksjonsteknologi (embryoutvalg og sædcelleanalyse) Medisinsk bildebehandling (polypdeteksjon, meibomkertutgang) Neural nettverkstolkning og usikkerhetsmodellering i EEG-analyse Biomekanisk prediksjon av muskelutmatting Hans publikasjoner viser mangfoldige anvendelser av AI i medisin og teknologi, med spesialvekt på: Explainable AI (XAI) i diagnostikk og behandling Usikkerhetskvantifisering i dyb læring Automatisering av medisinske prosedyrer (ICSI, embryoanalyse) Stokastisk simulering og kausal inferens Hammer er engasjert i forskningsgruppene Applied Artificial Intelligence og Mathematical Modeling og har publisert over 130 vitenskapelige artikler og 7 forskningsrapporter.

• Human-Computer Interaction
• Learning Analytics
• Learning Technologies
• +۶ مورد دیگر

Michail Giannakos is a Professor of Interaction Design and Learning Technologies at the Department of Computer Science, Faculty of Information Technology and Electrical Engineering, Norwegian University of Science and Technology (NTNU). He serves as Head of the Learner-Computer Interaction Lab and has held visiting positions including EAISI Visiting Professor at Eindhoven University of Technology (2023-2024) and Honorary Professor at UCL Knowledge Lab (2022-2023). Previously, he was Associate Professor (2017-2020) and Senior Lecturer (2014-2017) at NTNU, and Assistant Professor at Old Dominion University (2013-2014). Dr. Giannakos's research focuses on the design and study of emerging technologies in online and hybrid education settings, with particular emphasis on student and instructor experiences. His work spans Human-Computer Interaction , Learning Analytics , Learning Technologies , and User Experience Research . He has co-authored over 150 peer-reviewed publications in leading journals including Computers & Education, Computers in Human Behavior, IEEE TLT, and ACM TOCE. His recent publications reveal a strong trend toward multimodal learning analytics, embodied interaction in educational contexts, and the application of generative AI in education. The research increasingly integrates physiological and cognitive measurements with traditional learning data to create more comprehensive educational insights. There's also a noticeable focus on STEM education, particularly in mathematics learning through embodied and multimodal approaches. EAISI Visiting Professor, Eindhoven University of Technology (2023) Honorary Professor, UCL Knowledge Lab, University College London (2022) IDC Best Paper Award (2022) ITiCSE Top 5 papers in 25 Years Award (2020) RCN Young Research Talent grant (2016) ERCIM "Alain Bensoussan" Fellow (2013) Outstanding Academic Award, NTNU (2017-2020) Dr. Giannakos actively supervises multiple PhD students and postdocs, including Giulia Cosentino and Andrew Pulsipher as main supervisees. He has successfully mentored numerous PhD candidates to completion, many of whom have gone on to academic positions. His research is supported by substantial grants from diverse sources including the European Commission (Horizon Europe, Horizon 2020), Research Council of Norway, US-NSF, Microsoft Research, and DAAD. Current major projects include STEAM Learning Ecologies (Horizon Europe, 2022-2025) and SURROUNDEDbySCIENCE (Horizon 2020, 2021-2025). As Head of the Learner-Computer Interaction Lab, Dr. Giannakos leads a multidisciplinary team exploring how emerging technologies can enhance learning experiences. The lab focuses on multimodal data collection, embodied interaction design, and the development of intelligent learning environments that adapt to user needs. Current work emphasizes the integration of generative AI with multimodal analytics to create more responsive educational systems.

• Sustainability analytics
• Transport and mobility
• Production and consumption
• +۴ مورد دیگر

Dina Margrethe Aspen is an Associate Professor at the Norwegian University of Science and Technology (NTNU) , Faculty of Economics and Management, Department of International Business. She leads the Sustainability Analytics research arena and specializes in data-driven decision support systems for sustainable development. Her work combines data analysis , sustainability analysis , and decision analysis through collaborations between the Department of International Business and the Department of ICT and Natural Sciences at NTNU in Ålesund. Her research focuses on integrated sustainability appraisals in transport and mobility, production, pollution prevention, and waste management, particularly through projects like Twin Fjord , Smart Plan , and SUSTRANS that address sustainable mobility and environmental policy in UNESCO heritage sites. Recent publications highlight trends in urban digital twins , transportation decision modeling , and multi-criteria analysis for sustainable systems . She has contributed to journals such as European Management Journal , IEEE Access , and Sustainability , emphasizing data-driven sustainability and participatory planning .

Ruth Jane Princeمشاهده پروفایل

استاد

• Medical Anthropology
• Global Health
• Care and Chronic Disease
• +۱۰ مورد دیگر

Ruth Jane Prince is Professor in Medical Anthropology at the Department of Community Medicine and Global Health, Institute of Health and Society, University of Oslo. She holds a PhD from the University of Oxford and has trained at UCL and the University of Copenhagen. Her research is centered on global health, care practices, citizenship, and state formation in East Africa, particularly Kenya. Her academic interests include medical anthropology, global health, care and chronic disease, citizenship and the state, health systems, epidemics, anthropology of health insurance, environmental anthropology, chemical ethnography, anthropology of toxicity, and postcolonial studies. She has conducted extensive ethnographic and historical research on universal health coverage, health insurance, and bureaucratic labor in Kenya, often in collaboration with African institutions such as the University of Nairobi, Maseno University, and KEMRI. Prince’s recent publications reveal a strong focus on universal health coverage, the moral economies of care, bureaucratic labor in health systems, and the legacies of Cold War medical aid in Kenya. Her work combines critical theory with deep ethnographic engagement, exploring how global health policies are interpreted and transformed in local contexts. She frequently examines the tensions between aspiration and failure, solidarity and inequality, and public good and privatization in African health systems. Co-winner, Royal Anthropological Institute’s Amaury Talbot Prize (2010) for The Land is Dying: Contingency, Creativity and Conflict in Western Kenya Winner, RAI Documentary Film Student Prize (2003) for Adhiambo - Born in the Evening She has received major research grants including an ERC Starting Grant (2018–2023) and Norwegian Research Council grants (FRIPRO/Global Health 2021–2025, FRISAM 2013–2017). She has supervised numerous PhD students to completion and continues to mentor current candidates. Her work is deeply collaborative, involving partnerships in Kenya, Tanzania, and Uganda. She teaches courses in medical anthropology, global epidemics, and global health, and contributes actively to public scholarship through platforms like Somatosphere and Africa Is a Country.

• Environmental History
• Science and Technology Studies
• Digital Humanities
• +۴ مورد دیگر

Finn Arne Jørgensen is a Professor at the Department of Cultural Studies and Languages , University of Stavanger. His research explores intersections of technology, nature, and culture , with a focus on digital environmental humanities and human-animal-technology relationships . He co-directs the Greenhouse Center for Environmental Humanities and leads the Stavanger team in the European DigiFREN project, analyzing digital technologies in changing landscapes. PhD in Science and Technology Studies (NTNU, 2007) Merited Teacher (Umeå, 2016; Stavanger, 2021) His research spans environmental history , digital cultural heritage , and sustainable design , often utilizing rephotography and digital storytelling as methodological tools. Recent work examines GPS-enabled hunting practices and surveillance technologies in wildlife management , reflecting his interest in how technological systems shape environmental ethics . Key projects include: European DigiFREN project (CHANSE-funded) Nordforsk Energy Lives! NFR Fripro Locative Technologies EU Horizon 2020 EnviroCitizen NFR INTPART Asia-Norway Environmental Storytelling Scientific awards: Merited Teacher, Umeå University (2016) Merited Teacher, University of Stavanger (2021) He supervises Master students in environmental history and digital humanities and has published extensively on topics like beverage container recycling infrastructure (Making a Green Machine, 2011), Norwegian cabin culture (Norske hytter i endring, 2011), and digital environmental aesthetics (Silver Linings, 2020). His work bridges historical analysis with contemporary sustainability challenges , emphasizing the role of technological systems in shaping environmental citizenship. As co-founder of the Nordic Environmental History Network (2009), he has influenced environmental humanities scholarship and served as Digital Content Editor of Environmental History and Contributing Editor of Technology and Culture .

Marianne Fyhnمشاهده پروفایل

استاد

• Neurobiology
• Neuroscience
• Physiology
• +۷ مورد دیگر

Marianne Fyhn is a Professor at the University of Oslo's Section of Physiology and Cell Biology within the Faculty of Mathematics and Natural Sciences. She leads the Centre for Integrative Neuroplasticity (CINPLA), a strategic research initiative integrating experimental biology with computational physics/mathematics to study brain information processing and plasticity. PhD in Neuroscience (NTNU, 2000-2005) MSc in Physiology (University of Tromsø, 1997-1999) Bachelor in Arctic Biology (University Courses in Svalbard, 1995-1996) BSc in Biology (University of Bergen/Oslo, 1992-1995) Her research focuses on neural plasticity mechanisms in cortical structures, using large-scale neuronal recordings and transcranial two-photon microscopy to study synaptic and population code changes during sensory learning. Key findings include discovering grid cells in mice and demonstrating how experience modifies cortical circuits for long-term memory. Recent publications analyze perineuronal nets' role in memory stabilization, grid cell conformal mapping, and topological population coding in visual cortex. These works reveal intersections between neural circuit dynamics , computational modeling , and neurodegenerative processes . 2008: European Brain and Behaviour Society Award 2007: Eppendorf-Science Prize in Neurobiology 2006: Donald B. Lindsley Prize & I.K. Lykke Award Fyhn serves as course manager for advanced courses including MBV1020 - Physiology and MBV4340 - Advanced Neurobiology . Her lab develops educational tools like Neuronify for neural circuit simulation and open-source platforms for electrophysiological data analysis.

Bjørn Magne Arntsenمشاهده پروفایل

پژوهشگر

• Visual anthropology
• Ethnographic film
• Natural resource management
• +۵ مورد دیگر

Bjørn Magne Arntsen is a visual anthropologist and researcher at the Department of Social Sciences, UiT The Arctic University of Norway. His work integrates ethnographic filmmaking with long-term field studies on natural-resource use, fisheries governance, and forced migration around Lake Chad and in the Sahel. Research interests Arntsen’s core interests span visual anthropology, ethnographic film, natural-resource management, and fisheries. He explores how audiovisual methods can deepen anthropological understanding, particularly in poly-ethnic societies under environmental and political stress. He is an active member of the university’s Visual Anthropology research group and the Sahel on Sahel project, initiatives that investigate viability and crisis adaptation in northern and southern poly-ethnic communities. Publications trend Across 40+ outputs since 2000, his recent articles (2017-2023) foreground situated knowledge, observational cinema, and the socio-ecological impacts of management regimes on Lake Chad fisheries, often combining textual analysis with documentary film. Awards & funding No specific awards or major grants are listed in the supplied text; however, his continuous film production and editorial roles indicate ongoing external support. Advising & collaboration Arntsen regularly supervises master students in Visual Cultural Studies, as evidenced by co-edited film anthologies and premiere events at UiT. He collaborates with scholars in Cameroon, Mali, and Norway, and his works appear in English, French, and Norwegian, reflecting wide international engagement.

Hoai Phuong Haمشاهده پروفایل

استاد

• Green and energy-efficient computing
• Parallel and distributed computing systems
• Cyber-physical systems
• +۳ مورد دیگر

Professor Hoai Phuong Ha is affiliated with UiT The Arctic University of Norway's Department of Computer Science. A leading expert in green computing and cyber-physical systems, they contribute to Arctic research through the Distributed Arctic Observatory (DAO) and Arctic Green Computing (AGC) group. Founded ARC (Arctic Center for Sustainable Energy) PI in EU FP7 EXCESS and H2020 TAILOR projects WP-leader in EEA POLNOR HAPADS and RCN PREAPP projects Their research focuses on energy-efficient computing, including IoT systems, edge computing, and parallel algorithms. Recent work addresses wireless charging trajectories (eU2U, 2025), smart grid networks (GridWatch, 2024), and pollution monitoring (2024). Publications span cyber-physical observatories, sensor calibration, and distributed systems optimization. Key trends in their 15 most recent articles (2017-2025) include: energy-aware data structures, Arctic-adapted IoT deployments, and sustainable computing methods. Collaborations span EU and Norwegian grants with applications in smart grids, environmental sensing, and high-performance computing. Co-founder of Arctic Center for Sustainable Energy (2017) Active in EEA POLNOR (2019-2023) and RCN eX3 infrastructure project Their lab (Realfagbygget A237) develops systems for Arctic tundra monitoring, including UAV-powered networks and energy-harvesting protocols. Students include researchers from multiple international collaborations.

• Computer Vision
• Image Analysis
• Machine Learning
• +۱ مورد دیگر

Puneet Sharma is an Associate Professor at the Department of Automation and Process Technology, UiT The Arctic University of Norway. His primary research areas include computer vision, image analysis, machine learning, and wearables technology, with active contributions to atmospheric science data processing and maritime navigation AI applications. Current role: Associate Professor (Automation) Teaching: Industrial data communication (bachelor), Machine Vision (master) Research: Machine Learning Group member, focus on visual attention models, deep learning for PMSE segmentation, and wearable training systems Recent publications highlight his work in applying machine learning to Polar Mesospheric Summer Echoes (PMSE) analysis, noctilucent cloud classification, and biosignal-based maritime navigation studies. He participated in the Horizon 2020 WEKIT project for wearable-based industrial training.

Merethe Frøylandمشاهده پروفایل

استاد

• Science Didactics
• Geodidactics
• Fieldwork Pedagogy
• +۶ مورد دیگر

Merethe Frøyland is a Professor at the Science Center (Naturfagsenteret) within the Faculty of Mathematics and Natural Sciences (MN-fakultetet) at the University of Oslo (UiO). With a background in geology and a PhD in science education, she specializes in science didactics , geodidactics , and informal learning environments . Her work focuses on integrating other learning arenas (e.g., fieldwork, museums) into science teaching and improving teacher education through continuing professional development programs.