Leiv Rønneberg is a Postdoctoral Fellow in Statistics and Data Science at the University of Oslo (UiO), with a primary affiliation at the Department of Mathematics. His research focuses on Bayesian statistical methods, machine learning, and data science, particularly applied to biomedical and astrophysical domains. Key research trends in his publications include: Development of flexible Bayesian models (FlexKnot, bayesynergy) for complex datasets Applications in 21 cm cosmological signal processing and drug combination analysis Creation of bioinformatics tools (screenwerk) for experimental design Interdisciplinary work spanning astrophysics, pharmacology, and sports science Scientific Awards: No awards explicitly mentioned in the provided text. Students: No advisees or students listed in the current description.
Åsmund Dæhlen serves as a Research Fellow within the Department of Informatics at the University of Oslo, operating under the Faculty of Mathematics and Natural Sciences. He is actively engaged with the Digital Innovation research group, contributing to the department's academic and research missions. His research interests encompass Digital Innovation, Computer Science, Information Technology, Digital Infrastructure, and Digitalization. These areas align with the department's broader research sections including Digital infrastructure and security, Digitalization, Machine Learning, and Programming, reflecting contemporary challenges in informatics and digital transformation. Based at Gaustadalléen 23B, 0373 Oslo, with postal address Postboks 1080 Blindern, 0316 Oslo, Åsmund contributes to the vibrant research ecosystem at one of Scandinavia's leading academic institutions in computer science and informatics.
Christian Johansen is a Professor in the Department of Information Security and Communication Technology at the Norwegian University of Science and Technology (NTNU), Faculty of Information Technology and Electrical Engineering. He leads the Systems Security group (S2G) and is affiliated with the Center for Cyber and Information Security (CCIS), the Norwegian Cyber Range, and the S2G Playground. Professor Johansen's research focuses on Security and Theoretical Computer Science, with emphasis on developing formal methods and tools for ensuring reliability of complex systems. His work spans security, safety, and concurrency properties in software systems, cyber-physical systems like Smart Grids, Internet of Things security, and modeling concurrency in multi-core and high-performance computing. Among his notable contributions are the Timed Distributed pi-calculus, ST-structures, Dynamic Structural Operational Semantics, Synchronous Kleene Algebra, and Higher Dimensional Modal Logic. His research interests include modeling of security protocols, programming language semantics, verification of distributed systems, concurrent systems modeling, and legal electronic contracts. His recent publications show a strong trend toward concurrency theory, security, and privacy, with significant contributions to pi-calculus variants, higher-dimensional automata, attribute-based encryption, and semantic access control frameworks. Many of his papers appear in top venues such as CONCUR, ATVA, FM, POST, CCS, JLAMP, IJCIP, FMSD, and LMCS. Professor Johansen actively mentors students and collaborators, having worked with Manish Shrestha on the LightSC Security Classification Method for Smart Grids and IoT, and with Bjørnar Luteberget on the SAT modulo Discrete Event Simulation method for railway capacity verification. He has secured funding from competitive sources including EU-FP7-FET-Young-Explorers, Horizon-2020, NFR-FRINATEK, UK's EPSRC, and ECSEL-JU. His work often bridges theoretical computer science with practical security applications in critical infrastructure domains.
Cordian Benedikt Riener is a Professor in Mathematics at UiT The Arctic University of Norway, Tromsø, and serves as Pro-Dean for PhD education at the Faculty of Science and Technology. He leads the Algebra group and is a co-director of the Lie-Størmer Center for Fundamental Structures in Computational and Pure Mathematics. His academic roles include chairing the Norwegian Mathematics Council and serving on the Abel Prize board. Habilitation in Mathematics (2018, University of Konstanz) Magister Artium in Philosophy (2013, Goethe University Frankfurt) PhD in Mathematics (2011, Goethe University Frankfurt) Master in Pure Mathematics (2005, Université de Bordeaux 1) Diplom in Mathematical Economics (2006, Universität Ulm) Riener’s research bridges mathematics and theoretical computer science, focusing on computational complexity, real algebraic geometry, and polynomial optimization. His work includes characterizing positive polynomials via sums of squares, studying moment problems, and developing semidefinite relaxation methods. He explores symmetry in algebraic structures, such as Specht ideals and Weyl group orbits, with applications in discrete geometry and spectral graph theory. His recent publications emphasize symmetric semi-algebraic sets, trigonometric polynomial optimization, and tropical geometry. The 15 most recent articles span 2023-2025, addressing topics like symmetric nonnegative forms, orbit space descriptions, and algorithmic symmetry reduction. Keywords include Real Algebraic Geometry, Optimization, and Computational Complexity, with subfields such as Sums of Squares, Spectral Bounds, and Tropical Geometry. Aalto Science Institute Fellow (2012-2016) Zukunftskolleg Associate Fellow (2011-2012) Riener contributes to academic service as chair of the Norwegian Mathematics Council and Abel Prize board member. He has organized conferences like ISSAC 2023 and Nordic Combinatorial Conference 2022. His projects include POEMA (Horizon 2020) and SymRAG, with leadership in the Lie-Størmer Center and MASCOT collaborations.
Hedda Novang Wahl is a PhD candidate at the Institute of Education , University of Oslo , within the Faculty of Educational Sciences . Her research focuses on developmental psychology, particularly the development of mathematical skills and learning difficulties in mathematics, with applications in special needs education. Email: h.n.wahl@iped.uio.no Research Interests include understanding factors contributing to mathematical learning difficulties, psychometric assessment of anxiety scales, and pedagogical strategies for ordinary and special needs education contexts. Her work aligns with the Literacy and Numeracy in Context (LiNCon) research group. Education highlights: Master’s Degree in Special Needs Education (2016-2018) from the University of Oslo, General Teacher Education (2009-2013) from Oslo Metropolitan University, and a one-year French program (2013-2014) at the University of Caen, Normandy.
Bjørn Solvang is a Professor in the Department of Industrial Engineering at UiT The Arctic University of Norway, campus Narvik. His research focuses on advanced manufacturing systems, robotics, and digital transformation in industrial contexts. His primary research interests include: Reconfigurable Manufacturing Systems Industry 4.0/5.0 Technologies Human-Robot Collaboration Digital Twins and Virtual Reality Applications Supply Chain Optimization Cognitive Infocommunication in Robotics He investigates how these technologies enhance flexibility, efficiency, and sustainability in manufacturing, particularly for small and medium enterprises (SMEs). Analysis of his recent publications reveals a strong trajectory toward smart manufacturing systems with increasing emphasis on Industry 5.0 principles. His work consistently addresses real-world industrial challenges through robotics integration, digital twin implementations, and AI-driven optimization, often involving European cross-organizational collaborations. Professor Solvang actively contributes to the ArcLog research group (Intelligent Manufacturing and Logistics) and the "Industry 5.0 enabled Smart Logistics" project. He has participated in multiple European cooperation initiatives providing educational frameworks for SMEs transitioning to advanced industrial paradigms. Based at Campus Narvik (room A4050), he maintains active industry engagement through research projects targeting practical manufacturing innovations and sustainable logistics solutions.
Rolf Anker Ims is a Professor of Ecology at the Department of Arctic and Marine Biology, UiT The Arctic University of Norway. He serves as Head of the Climate-ecological Observatory for Arctic Tundra (COAT) , focusing on population, community, and ecosystem dynamics in boreal and Arctic environments. His work emphasizes climate change impacts, adaptive monitoring systems, and food web interactions. Current Research : Arctic-alpine small mammal population dynamics Camera trap methodology for ecological monitoring Predator-prey interactions in cyclic systems Climate change effects on tundra ecosystems Adaptive ecosystem management frameworks Recent Trends : Developing semi-automated image analysis workflows Studying interspecific competition in Arctic foxes Examining parasite dynamics in Svalbard Modeling multi-scale predator-prey systems Collaborations : Leads the COAT program while collaborating with international researchers across institutions like Norwegian Scientific Committee for Food and Environment, and participating in multidisciplinary projects including ECOGEN research group and Arctic Future Pathfinders educational initiatives.
Gitta Astrid Hildegard Kutyniok is a Professor in the Department of Physics and Technology at UiT The Arctic University of Norway. Her research spans machine learning, applied mathematics, and signal processing, with a focus on theoretical foundations and practical applications.
Aslak Tveito is a Professor and Simula Fellow at Simula Research Laboratory, working within the Department of Computational Physiology. His research spans computational physiology, biophysics, and scientific computing with a strong focus on cardiac electrophysiology and mathematical modeling. Dr. Tveito's research interests center on computational physiology, particularly in the domain of cardiac electrophysiology. His work integrates mathematical modeling, numerical analysis, and computational techniques to understand cardiac function at multiple scales - from cellular to tissue level. He has made significant contributions to developing computational frameworks for modeling excitable tissues, with particular emphasis on the heart. His research bridges the gap between theoretical mathematics and practical physiological applications, creating models that can predict cardiac behavior under normal and pathological conditions. The publication record reveals a strong trend toward increasingly detailed cellular-level modeling of cardiac electrophysiology. Recent work focuses on nano-scale phenomena, stem cell-derived cardiomyocyte modeling, and the development of efficient computational frameworks that maintain physiological accuracy. His research demonstrates a consistent trajectory from macroscopic cardiac models toward cellular and subcellular resolution, with growing integration of experimental data from microphysiological systems. There's also a clear emphasis on practical applications, particularly in drug testing and arrhythmia mechanisms. Dr. Tveito has established himself as a leading researcher in computational cardiac electrophysiology through his extensive publication record spanning multiple decades. His work has been published in high-impact journals across computational biology, physiology, and applied mathematics. His research program demonstrates strong continuity in mathematical modeling of cardiac systems, with evolving focus toward higher-resolution cellular models and integration with experimental cardiac microphysiological systems. The collaborative nature of his work is evident through numerous co-authorships with both computational scientists and experimental biologists.
Dr. Erik Tellgren is a Researcher at the Hylleraas Centre for Quantum Molecular Science within the Department of Chemistry at the University of Oslo. He serves as a supervisor for computational science projects and pioneered the LONDON program—the first quantum-chemical software for molecules in strong magnetic fields. His educational background: Master's thesis at Linköping University, Sweden, on relativistic effects on excited states in molecules PhD at the University of Oslo on computational methods for periodic systems and magnetic effects Tellgren's research centers on quantum-chemical methods with three core themes: development of numerical methods and software implementations; effects of weak and strong magnetic fields on chemical bonding and molecular properties (including symmetry breaking); and mathematical aspects of density-functional theory adaptations for magnetic fields. His work bridges rigorous functional analysis with pragmatic physical modeling. He led an independent project (2015–2019) on magnetic-field-induced symmetry breaking and currently supervises the project "Chemistry Development of density-functional methods utilizing tensor densities." His methodology integrates physical/chemical modeling, numerical analysis, and programming, with recent expansion into mathematical foundations. Affiliated with the Hylleraas Centre for Quantum Molecular Science, Tellgren's research remains active in advancing computational tools for unexplored magnetic field regimes.
Anne Marie Øines is a Senior Lecturer in the Department of Language and Literature at the University of South-Eastern Norway (USN), Faculty of Humanities, Sports and Educational Sciences, based at Campus Vestfold. She plays a significant role in teacher education programs, serving as course leader and teacher in primary school teacher training (grades 1-7) and in the knowledge area 'Language, Text and Mathematics' for kindergarten teacher education. Dr. Øines is actively involved in several research groups focusing on early childhood education: Children's transition from kindergarten to school and early childhood education Literature and Literature Didactics Classroom Research - Quality in Education She is also the responsible person for the Picture Book Festival, demonstrating her commitment to promoting children's literature. Her research interests center on children's literature, with particular expertise in: Picture books and their role in early literacy development Multimodal literacy in educational contexts Language development and stimulation for young children Nonfiction literature for children Literature didactics in teacher education Dr. Øines has published extensively on how children engage with literature, particularly examining picture book selection practices in kindergartens and how children understand complex topics through illustrated texts. Dr. Øines has presented her research at numerous international conferences, including multiple appearances at the European Early Childhood Education Research Association (EECERA) conferences. Her work often focuses on practical applications for educators, with publications addressing questions like 'What is good for children to read?' and examining changes in reading practices through projects like the reading aloud initiative. Her educational background includes a Cand. philol degree with a major in Nordic (1994), and more recently completed PhD courses in pedagogical competence development (2019) and research methodology (2018), reflecting her ongoing scholarly development in educational research.
Håkon Johan Sandven is a Postdoctoral Researcher at the Department of Physics and Technology, Faculty of Mathematics and Natural Sciences, University of Bergen (UiB). His research focuses on ocean optics with particular emphasis on light penetration in Arctic waters and the Barents Sea. He collaborates extensively with the Norwegian Polar Institute and participates in multiple international research projects examining the relationship between sea ice decline and marine ecosystem changes. Dr. Sandven's research interests center on understanding how light availability in marine environments affects phytoplankton dynamics and overall ecosystem productivity. His work combines in situ optical measurements with modeling approaches to study seasonal variations in water column optical properties. He investigates how declining sea ice cover alters light penetration in Arctic waters, with implications for marine primary production and biogeochemical cycles. His research also addresses challenges in optical measurement techniques for estimating plankton concentrations and other microscopic particles in complex marine environments. His publication record demonstrates consistent productivity with a focus on Arctic ocean optics, showing clear trends toward increasingly sophisticated measurement techniques and modeling approaches. Recent work integrates machine learning methods for correcting instrument errors and analyzing long-term trends in light availability driven by climate change. Dr. Sandven participates in multiple significant research initiatives funded by the Research Council of Norway (projects 309612, 276730, 303190, 337245) and European Commission programs (H2020 grants 101034309, 101003826). He contributes to projects including 'Enhanced Ocean Color Remote Sensing of Optically Complex Waters,' 'SFI Smart Ocean,' and 'The Nansen Legacy,' which involve extensive field work in Arctic regions using research vessels like KV Svalbard. His research is conducted within UiB's optics and atomic physics research group, where he collaborates with experts in marine optics, remote sensing, and Arctic climate systems. This work contributes to international efforts to understand and model changing Arctic marine ecosystems in the context of rapid climate change.
Associate Professor Monika Bader is affiliated with the Department of Language, Literature, Mathematics and Interpreting at Western Norway University of Applied Sciences (HVL) in Bergen. Her office is located at KRONSTAD A806 and she can be reached at +47 55 58 59 64. Her research interests focus on: English Language Teacher Education Formative Assessment Practices Grammar Instruction Methodologies Feedback Mechanisms in Writing Development Extensive Reading Programs for EFL Learners Translation Pedagogy Monika Bader teaches multiple courses including ENB802 (English 1, module 2 - Language and culture), MDIP550D (Master's thesis), MGBEN101 (English 1, module 1 - English language, literature and textual knowledge with subject didactics), MGUEN501 (English 3, module 1 - Teaching and Learning English), and MGUEN550 (English 3, module 4 - Master's thesis). Her recent publications (2018-2024) demonstrate a consistent research trajectory examining assessment practices in language teacher education. The work shows particular emphasis on how student teachers process and implement feedback, with practical implications for teacher training programs. Her research appears in reputable journals including the European Journal of Teacher Education and Assessment & Evaluation in Higher Education. Monika Bader is active in two research groups at HVL: Analyzing and assessing linguistic multicompetence (AALM) Researching Teacher Education, Language and Literature (RETELL)
Frida Felicia Vennerød-Diesen serves as a Senior Researcher at the Nordic Institute for Studies in Innovation, Research and Education (NIFU), specializing in children's development, educational policy evaluation, and quantitative research methodology since 2018. Her work emphasizes adapting research methods for child participants and analyzing large-scale educational initiatives across Norwegian schools. Her academic foundation includes: PhD in Developmental Psychology (2014–2018) from the University of Oslo’s Faculty of Medicine and Nofima Master’s in Developmental Psychology (2012–2014) from the University of Oslo Bachelor’s in Social Sciences with psychology specialization (2008–2012) from NTNU Research interests integrate child development with educational systems analysis , particularly examining how digital tools transform classroom dynamics in core subjects like Norwegian and Mathematics. Her methodological expertise in quantitative research enables rigorous evaluation of national policies such as teacher density norms and health education programs. Current projects like HeaLS investigate interdisciplinary curriculum implementation, while historical work explored sensory science in childhood nutrition. Publication trends reveal an evolution from early sensory science (2017–2018 taste preference studies) toward contemporary digital education research (2020–2023), with consistent focus on method adaptation for children and policy impact assessment . Recent articles address one-to-one computing adoption, teacher technology integration, and school readiness metrics. No major scientific awards are publicly documented in her profile. Her advisory work centers on institutional research projects rather than individual student supervision, with primary funding stemming from Norwegian government education initiatives. Collaborative networks include NTNU Samfunnsforskning AS, OsloMet, and cross-institutional teams evaluating national strategies like Tett på realfag (STEM education). NIFU’s project-based structure facilitates her interdisciplinary approach, connecting developmental psychology insights with large-scale educational policy analysis through partnerships with school administrators, policymakers, and subject-matter specialists.
