Find Academic Supervisors

• Sport Science
• Exercise Physiology
• Public Health
• +6 more

Bente Morseth is a Professor of Sport Science at UiT The Arctic University of Norway, leading the Sport, Physical activity and health research group and serving as Research Leader at the School of Sport Sciences. She also acts as Study Leader for the Master’s programme in sport sciences. Her academic background includes a PhD in Medical Sciences (UiT, Tromsø) and a Cand.scient. in Exercise Physiology from the Norwegian School of Sport Sciences. Her research focuses on the interplay between physical activity, health outcomes, and chronic conditions such as atrial fibrillation, chronic pain, and bone density. Key areas include epidemiological studies on exercise impacts, menstrual cycle effects on athletic performance, and the role of sedentary behavior in cardiometabolic health. She leads large-scale population studies like the Tromsø Study, analyzing over 20 years of data to explore physical activity correlates with mortality, bone health, and cardiovascular diseases. Her publications reflect a broad portfolio: from randomized controlled trials (e.g., NEXAF trial for atrial fibrillation patients) to cross-sectional analyses of accelerometer data. Recent work emphasizes gender-specific physiology in endurance athletes and the bidirectional relationship between physical activity and pain tolerance. Morseth’s academic leadership includes managing research groups and educational programs, contributing to policy-relevant findings on public health interventions and physical activity guidelines.

• Bone Health
• Vitamin D and Metabolic Disorders
• Maternal-Offspring Health
• +5 more

Unni Syversen is a Researcher at the Norwegian University of Science and Technology (NTNU) , affiliated with the Department of Clinical and Molecular Medicine under the Faculty of Medicine and Health Sciences . Her work spans bone biology, vitamin D metabolism, maternal-offspring health, and public health interventions. Current research focuses on bone quality in diabetes patients Vitamin D status in Nepal and Norway Exercise effects on bone turnover markers Maternal nutrition and offspring bone development Recent publications highlight collaborations with researchers like Astrid Kamilla Stunes, Mats Peder Mosti, and Torunn Børsting. She supervises graduate theses, including those of Axel Sjilov (2020) and Klara Evjen Seim (2018). Her email is unni.syversen@ntnu.no , indicating direct institutional affiliation.

• Emotion Understanding in Children
• Parent-Infant Interaction
• Early Intervention Programs
• +4 more

Silja Berg Kårstad is an Associate Professor at the Regional Centre for Child and Youth Mental Health and Child Welfare , affiliated with the Department of Mental Health under the Faculty of Medicine and Health Sciences at Norwegian University of Science and Technology (NTNU). She specializes in child and youth mental health, focusing on emotion understanding, parent-infant interactions, and early intervention programs for high-risk infants. University: Norwegian University of Science and Technology (NTNU) School: Faculty of Medicine and Health Sciences Department: Department of Mental Health Academic Rank: Associate Professor Research Interests: Silja Berg Kårstad's work explores emotion understanding in children, the role of parenting interventions, and the impact of early therapeutic programs for infants at risk of cerebral palsy. Her studies emphasize cross-cultural comparisons, digital adaptations of therapy, and psychosocial support systems. Publication Trends: Her recent academic output includes longitudinal analyses of emotion development, single-subject studies on early interventions for high-risk infants, and frameworks for online parenting programs. Key themes are emotion regulation , cerebral palsy family support , and cultural inclusivity in digital therapy . Teaching: Silja contributes to courses such as MDV6423 - Marte Meo metoden and IPH6227 - Sped- og småbarns psykiske helse , focusing on clinical methods for infant mental health. Outreach: She actively engages in public education through lectures on topics like Emotion Competence in Children , Screen Time Effects , and Parent-Infant Communication , often collaborating with institutions like RKBU Midt-Norge and Foreningen for hjertesykebarn .

Jeremy BarnesView profile

Assistant Professor

• Cross-lingual Methods
• Transfer Learning
• Sentiment Analysis
• +5 more

Jeremy Barnes is an Assistant Professor in the IXA Group at the University of the Basque Country (UPV/EHU), part of the HiTZ Centre. He holds a PhD in Computational Linguistics and has extensive postdoctoral experience at the University of Oslo. His research focuses on cross-lingual methods, sentiment/emotion analysis, weak supervision, and under-resourced language resources. He has contributed to projects like NorDial and NorLM, developing tools like skweak. Barnes teaches courses in computational syntax, text mining, and NLP. Education: PhD (Pompeu Fabra University), M.A. and B.A. in Linguistics Key Projects: LUMINOUS (multimodal LLMs), SANT (Norwegian sentiment analysis) His work spans structured sentiment analysis, cross-lingual transfer learning, and dialectal feature identification. He has received awards for his book Sonic Ethnography (2021) and photography (2020). Barnes advises numerous Master's theses and collaborates internationally on NLP challenges.

Anne Marit Vesteraas DanboltView profile

Professor

• Literacy Education
• Multilingual Classrooms
• Adult Education
• +2 more

Anne Marit Vesteraas Danbolt is Professor at the University of Inland Norway's Faculty of Teacher Education, specializing in literacy education in multilingual contexts. She coordinates international projects including 'Literacy Education in Multilingual Settings' with the University of Zambia and 'DIALOGUES - Languages, literacies and learning in a digital age'. Research examines literacy development across educational contexts with focus on: Multilingual literacy resource development Refugee education support systems Adult migrant literacy programs Home-school collaboration models Leads initiatives developing multilingual platforms including Storybooks Namibia and Storybooks Zambia. Coordinates student exchange programs allowing Norwegian students to undertake teaching practice in Zambian schools.

• Public Health
• Life Skills in Schools
• School-Child Welfare Collaboration
• +3 more

Jorid Avdem is an Assistant Professor in Pedagogy at the University of Inland Norway, affiliated with the Department of Pedagogy in Lillehammer. Her work focuses on public health and life skills integration in schools, particularly examining how schools can support children and youth receiving child welfare services. She holds a doctoral project investigating schools' contributions to youth health and life skills through the Knowledge Promotion 2020 framework. Dr. Avdem has prior experience as a secondary school teacher and principal, with extensive school development project management expertise. Research Interests: Public health pedagogy, life skills development, interdisciplinary educational practices, and school-child welfare collaboration. Her work bridges policy implementation and practical classroom strategies to enhance student coping and learning outcomes. Publications: Recent contributions include chapters in Collaboration on Public Health and Life Management (2024), exploring thematic intersections between schools, municipalities, and community stakeholders. Her research emphasizes systemic approaches to health promotion in educational settings. Awards: None explicitly listed. Teaching: Leads courses in pedagogy bachelor’s programs and special education continuing education. Active in teacher training and educational innovation.

Mateus De Oliveira OliveiraView profile

Associate Professor

• Theoretical Computer Science
• Automated Theorem Proving
• Parameterized Complexity
• +3 more

Mateus De Oliveira Oliveira is an Associate Professor in the Department of Informatics at the University of Bergen. His research focuses on theoretical computer science, automated theorem proving, parameterized complexity, formal verification, graph theory, and computational logic. His work spans algorithm design for constraint satisfaction problems, automated reasoning systems, and formal verification techniques. Notable contributions include advancements in width-based automated theorem proving, Petri net synthesis, and parameterized complexity analysis for graph algorithms. He leads the Autoproving project funded by the Research Council of Norway, exploring automated theorem proving through parameterized complexity theory. Recent publications highlight developments in symbolic functional decomposition, state canonization for theorem proving, and optimal dynamic programming algorithms. His research bridges foundational theory with practical applications in automated systems and formal methods.

Kristian FlikkaView profile

Associate Professor

• Proteomics
• Bioinformatics
• Mass Spectrometry
• +4 more

Kristian Flikka is an Associate Professor at the Department of Informatics, University of Bergen. His research focuses on computational methods in proteomics, bioinformatics, and mass spectrometry. He has expertise in developing tools for proteomic data analysis, including clustering algorithms, spectral quality filtering, and biomarker discovery. His work bridges computational techniques with life sciences, addressing challenges in data preprocessing, error reduction, and interpretability in AI models. Education: PhD in Computational Methods in High-Throughput Proteomics Research (2007) MSc in Methods for Analyzing 2D Electrophoretic Gel Images (2002) Research Interests: His research spans proteomics, computational biology, and AI applications in time series classification. Key areas include: Development of open-source tools for mass spectrometry data (e.g., ms_lims) Prediction of membrane protein structures (BOMP program) Pre-analytical proteomic data treatment Explainable AI for end-user model interpretation Publications: Over 15 publications since 2002, with notable contributions in BMC Bioinformatics , Proteomics , and Nucleic Acids Research . Recent work explores XAI in time series classification, reflecting expanded interests in AI interpretability. Awards & Grants: No specific awards listed, but his research has been supported by grants like the Norwegian Research Council (329745, 2022-2026). Labs/Teams: Collaborates with interdisciplinary teams at the University of Bergen, NORCE Norwegian Research Center, and international partners (e.g., Ghent University). Active in computational proteomics and AI-driven bioinformatics projects.

Helwig HauserView profile

Professor

• Visualization
• Data Science
• Interactive Data Analysis
• +5 more

Helwig Hauser is a Professor at the Department of Informatics, University of Bergen, specializing in visualization and data science. His research focuses on interactive visual data exploration, flow visualization, and applications in engineering, biomedical, and geoscience domains. He leads the Visualization research group and teaches courses in computer graphics and data science. Key research interests include scientific visualization, molecular dynamics analysis, high-dimensional data exploration, and visual analytics. His work spans computational fluid dynamics, medical imaging, and engineering simulation, with a focus on developing intuitive tools for complex data interpretation. Hauser has authored/co-authored over 100 peer-reviewed publications, including influential works on flow visualization, ensemble analysis, and interactive brushing techniques. He has edited conference proceedings such as PacificVis and serves on program committees for top visualization conferences. His contributions include open-source tools like the SemSeg project and collaborations with industry on automotive and biomedical applications. He advises graduate students and collaborates internationally, emphasizing interdisciplinary applications of visualization in medicine, geology, and engineering. Current projects explore AI-enhanced visualization, real-time data exploration, and multiscale molecular analysis.

• High-Performance Computing
• Graph Algorithms
• Social Network Analysis
• +3 more

Johannes Langguth is an Associate Professor at the Department of Informatics, University of Bergen. His work focuses on high-performance computing, graph algorithms, and social network analysis. He has contributed to GPU acceleration techniques for cardiac simulations and graph processing on manycore architectures. Langguth's research intersects computational science with societal challenges, including misinformation detection in social media and conspiracy theory analysis. He leads projects on temporal interaction networks and has developed datasets like COCO and GECO to study pandemic-related disinformation. His interdisciplinary approach combines computer science with psychology and public health, addressing both technical and human aspects of information dissemination. Notable contributions include optimizing breadth-first search on Graphcore IPUs and applying graph neural networks for combinatorial problems. Langguth collaborates widely, with affiliations at Simula Research Laboratory and BI Norwegian School of Business. His work is funded by institutions like the Research Council of Norway and the EU, reflecting its applied and impactful nature in both academia and industry.

Johan AlmeView profile

Professor

• Particle Physics
• Detector Design
• Medical Imaging Technology
• +3 more

Johan Alme is a Professor of Microelectronics at the Department of Physics and Technology, University of Bergen. He leads research on instrumentation for the ALICE experiment at CERN, focusing on detector design for the Forward Calorimeter (FoCal) and Inner Tracking System (ITS3). As program chair in physics, he drives curriculum reforms integrating programming into bachelor's courses and oversees initiatives like the Physics Room for active learning. He coordinates the UiB-led Proton CT project, developing medical imaging technology using CERN-derived sensors. As NORLHC-II project leader, he manages Norwegian contributions to CERN's detector and computing infrastructure. His research spans high-energy physics instrumentation, FPGA-based electronics, and technology transfer to medicine. Notable projects include FoCal's pixel layer readout systems, flexible sensors for ITS3, and proton CT's power management. Alme chairs conferences like TWEPP and NorCAS, and evaluates FPGA-related master's theses nationally. He actively engages in public outreach, delivering lectures on wireless communication, CERN's history, and career days for students. Recent publications emphasize detector modeling for proton therapy (e.g., silicon pixel charge collection) and femtoscopic studies in Pb-Pb collisions. His teaching awards reflect impactful pedagogical innovations, including LLM policy guidelines for academic integrity. Collaborations include international teams at CERN, Yale, and universities in Germany/Hungary. Key Roles: ALICE FoCal/ITS3 Coordinator, Proton CT Lead, NORLHC-II PI Teaching: PHYS223, PHYS298 (CERN internship), ELE350 (HVL) Awards: 2023/24 Realistutvalget Teacher of the Year

Fredrik BreienView profile

Associate Professor

• Game-Based Learning
• Narrative Design in Education
• Mixed Reality Technologies
• +3 more

Fredrik Breien is an Associate Professor at the University of Bergen, affiliated with SLATE (Centre for the Science of Learning & Technology). He leads educational programs at SLATE and oversees development of the Interdisciplinary Master in Artificial Intelligence and Learning Sciences, launching in 2026. His research focuses on collaborative design frameworks like eLuna, which empowers stakeholder participation in creating narrative-driven game-based learning tools. With 20+ years of industry experience, he has designed over 60 game-based learning systems for museums, education sectors, and public initiatives. Education background includes advanced qualifications in informatics and media studies. Research emphasizes narrative structures in serious games, specifically evaluating how non-linear narratives enhance engagement and learning outcomes. Key contributions include the eLNVM model for categorizing narratives in educational games and the mixed-reality visual language system in eLuna framework. Current work bridges academic research with practical applications, collaborating with science centers and educational institutions to develop immersive learning experiences. His interdisciplinary approach addresses challenges in stakeholder collaboration, situational awareness in teams, and curriculum integration through game-based methods.

Ali Kerem SayselView profile

Professor

• System Dynamics
• Environmental Resource Management
• Sustainability Transitions
• +4 more

Prof. Ali Kerem Saysel is a Professor of Geography at the University of Bergen (UiB), specializing in transdisciplinary environmental systems and system dynamics. He holds BS, MS, and PhD degrees in Industrial Engineering and Environmental Sciences from Boğaziçi University (1990, 1993, 1999). His research focuses on system dynamics modeling for environmental resource management, sustainability transitions, and stakeholder engagement in socio-technical systems. He has led projects addressing agricultural water management in the Mediterranean under the PRIMA program and contributed to the IPBES Global Assessment on Biodiversity. He teaches system dynamics courses at UiB and collaborates in ERASMUS+ initiatives, including MOOCs on the food-water-energy nexus. Education: BS Industrial Engineering (Boğaziçi, 1990); MS and PhD in Environmental Sciences (Boğaziçi, 1993/1999) Research interests include groundwater management, salinity/sodicity control, participatory modeling, and policy analysis. He has contributed to over 30 peer-reviewed publications and leads projects on sustainability transitions in megacities and Mediterranean regions. Active in editorial roles for System Dynamics Review and IPBES initiatives, he emphasizes interdisciplinary approaches to address complex environmental challenges.

Hans K. HvideView profile

Professor

• Entrepreneurship
• Corporate Finance
• Productivity and Innovation
• +3 more

Professor Hans K. Hvide is a faculty member at the Department of Economics, University of Bergen, with affiliations to CEPR and the University of Aberdeen. His research focuses on entrepreneurship, corporate finance, productivity, and labor economics. He has advised master’s students on topics ranging from innovation policy to healthcare economics. His work combines theoretical models with register data to address questions about startup dynamics, entrepreneurial performance, and market microstructure. Key publications include studies on broadband internet's impact on stock investments, long-term effects of demand shocks on startups, and mental health implications of the pandemic. He has also explored the role of liquidity constraints on firm performance and the effects of patent reforms on university innovation. His teaching includes pioneering PhD courses in entrepreneurship and developing the ITØK program integrating computer science, business, and economics. Hans has consulted for the Norwegian government and advised firms on innovation strategies. His research has been featured in outlets like Science and the Wall Street Journal. No scientific awards explicitly mentioned in sources.

Konstanze HaubnerView profile

Research Fellow

• Climate Science
• Glaciology
• Sea Level Rise
• +3 more

Konstanze Haubner is a Research Fellow affiliated with the Department of Geosciences at the University of Bergen (UiB), participating in the SEAS Programme and ClimateNarratives initiatives. Her research focuses on understanding ice sheet dynamics and their impact on sea level changes, particularly regarding the Greenland ice sheet's contributions. She has presented findings at conferences such as the 2024 PALSEA-Next Meeting and the SEAS annual meeting in 2023, emphasizing regional variations in sea level rise. Her work is supported by grants from the Research Council of Norway (Projects 324520, 324639) and the EU's Horizon 2020 program (Project 101034309). Collaborators include Natalya Gomez (McGill University), Erica Lucas (McGill University), and Charlotte Rahlves (NORCE Climate and Environment). No academic awards are explicitly listed in the provided materials. She advises no students at this time, though her research contributes to broader climate science education and outreach through UiB and affiliated programs.