Find Academic Supervisors

• Foundations of Computational Mathematics
• Geometric Integration
• Lie Group Integrators
• +12 more

Hans Z. Munthe-Kaas is a Professor in the Department of Mathematics at the University of Bergen. He holds several prominent academic leadership roles, including Chair of the Abel Prize Committee, Editor-in-Chief of Foundations of Computational Mathematics , President of the Norwegian Mathematical Society, and Project Leader of the RCN-Fripro project CODYSMA and the Lie–Størmer Center. His research lies at the intersection of pure and applied mathematics and computer science, with a focus on the Foundations of Computational Mathematics . Key areas include geometric integration, Lie group integrators, Lie–Butcher theory, structure-preserving algorithms for differential equations, multivariate Chebyshev polynomials, and computational algebra. He has pioneered coordinate-free algorithm design through the SOPHUS project and developed the DiffMan MATLAB toolbox for solving differential equations on manifolds. The recent publications show a strong trend in algebraic and geometric structures in numerical analysis, particularly in Lie–Butcher series , B-series , post-Lie algebras , and aromatic trees , with applications to integration on manifolds and homogeneous spaces. These works combine deep theoretical insights with practical computational implications. His scientific honors include the Esso Prize (1999) for his PhD work on numerical linear algebra and parallel algorithms. He has also led major research initiatives and collaborative projects, securing funding from the Research Council of Norway. Munthe-Kaas has advised students at the master’s level and welcomes new thesis projects. He has been active in teaching at all levels, including international courses at AIMS South Africa, CIMPA Brazil, and Morningside Center Beijing. He is also involved in public outreach through programs like 'Mattesirkelen' for high school students. He leads the Lie–Størmer Center and has developed software such as the SOPHUS C++ library and DiffMan toolbox, reflecting his commitment to bridging theoretical mathematics with computational practice.

Sanna Erika ForsströmView profile

Associate Professor

• Educational Sciences
• Mathematics Education
• Digital Technology in Education
• +7 more

Sanna Erika Forsström is an Associate Professor of Educational Sciences at the University of Stavanger, affiliated with the Faculty of Educational Sciences and Humanities. Her work focuses on digital technologies in education, particularly programming and robotics in mathematics instruction, teacher education, and knowledge synthesis. Her research interests include: Digital technology integration in mathematics and science education Computational thinking and programming in K-12 Initial teacher education in Nordic contexts Systematic and scoping reviews of educational research Professional digital competence for teachers Evidence-based educational policy Her recent publications reflect a strong trend in interdisciplinary research combining educational theory, digital innovation, and empirical synthesis. She frequently collaborates on Nordic-wide research projects and contributes to major educational conferences such as NORMA, ECER, and NERA. Her work emphasizes the transformation of digital tools from mere instruments to integral components of pedagogical practice. Notable scientific contributions include leadership in large-scale knowledge overviews on digitalization in compulsory education and programming in mathematics. She has no listed individual awards in the provided text. Forsström actively supervises and collaborates with researchers and students, particularly in systematic review methodologies and digital education research. She has been involved in projects such as GrunnDig, which investigates digitalization in primary and secondary education, and contributes to professional development through workshops and dissemination. Her work is supported by national research frameworks and policy-driven inquiries. She participates in research teams and collaborative networks focused on educational digitalization, teacher competence, and Nordic comparative studies. These include multidisciplinary teams involving experts in educational technology, curriculum development, and policy analysis.

• Numerical linear algebra
• Matrix polynomials and spectral theory
• Stability and perturbation analysis
• +3 more

Aleksandr Malyshev is Professor of Mathematics at the University of Bergen. His research integrates numerical linear algebra, stability theory, optimisation-based control, and image-processing algorithms, yielding a portfolio of more than 60 peer-reviewed articles and conference contributions. Education & affiliations: Professor, Department of Mathematics, University of Bergen, Norway (present) Previous research and teaching engagements in informatics and applied mathematics at the same university Research interests: Malyshev’s core interest is the theoretical and algorithmic analysis of matrix problems arising in stability, control and imaging. He develops numerically reliable tools for assessing the distance to instability of dynamical systems, constructs preconditioners that accelerate optimisation solvers in real-time model predictive control, and designs variational models for 3-D reconstruction and image denoising. His work frequently combines spectral theory of matrix polynomials with practical issues such as high-performance implementation and medical-image quantification. Across the last decade his articles reveal three dominant strands: (i) stability and perturbation of time-delay and periodic systems, (ii) preconditioned iterative solvers for interior-point and MPC formulations, and (iii) variational and learning-based approaches to depth estimation, surface reconstruction and glenoid-bone assessment. These themes are unified by a common mathematical substrate—exploitation of matrix structure to obtain computationally efficient, numerically trustworthy solutions. Scientific awards & recognition: Regular invited speaker at international workshops on numerical linear algebra and control (e.g., SK Godunov conference 2009, IFAC 2018) Funded principal investigator / co-investigator on Research Council of Norway and EU Horizon Europe grants Advising & grants: Malyshev has supervised numerous MSc and PhD candidates in numerical analysis and scientific computing and currently advises graduate researchers on projects ranging from 3-D machine-vision algorithms to Krylov-subspace preconditioning. Recent grant participation includes EU project 101373 (3-D quantification of glenoid bone loss) and the Norwegian Research Council project 262203 on perfusion-flow simulation. Labs & collaboration: He collaborates closely with the Group for Numerical Methods and Applications at UiB, the Visual Computing cluster at the Department of Informatics, and maintains international partnerships with the Universities of Brest, Lübeck, and several US institutions. These joint efforts feed cross-disciplinary projects combining rigorous matrix analysis with real-world applications in biomechanics, process control, and computer vision.

Paulo FerreiraView profile

Professor

• distributed systems
• programming of mobile devices
• concurrency / parallelism / replication
• +4 more

Paulo Ferreira is a Professor in the Department of Informatics at the University of Oslo's Faculty of Mathematics and Natural Sciences. He specializes in programming technology with a focus on distributed systems, mobile computing, and fog/cloud computing. His research interests include: Distributed systems and programming of mobile devices Concurrency, parallelism, and replication Fog and cloud computing architectures Software security and adaptability Algorithms for garbage collection Professor Ferreira teaches "Programming Ubiquitous Things" (IN5600) in Spring and "Fog and Cloud Computing" (IN5700) in Autumn. His recent publications show a strong focus on transport mode detection using edge and fog computing, garbage collection optimization, and mobile application development. His work demonstrates trends toward more efficient resource utilization in distributed environments, particularly in mobile and edge contexts. He has received numerous awards including: Best Prize for Master Thesis supervision (Norsk Regnesentrals pris, Dec. 2023) Two Best Paper Awards at the ACM/IFIP/Usenix Middleware Conference Recognition of Service Award from ACM "Excellent teaching" awards at the University of Lisbon (2010/2011 and 2013/14) Professor Ferreira currently supervises PhD students Mahdieh Kamalian (transport mode detection) and Lyla Naghipour Vijouyeh (fog emulator development). He has led more than 15 research projects, served as an expert for the European Union for assessment of projects proposals under the 7th Framework Program, and serves on various program committees (e.g. Middleware, ICDCS, DAIS, etc.). He is a senior member of ACM and IEEE, serves on the editorial board of the Springer Journal of Internet Services and Applications, and is a member of the Steering Committee of EuroSys (ACM European Chapter of the Special Interest Group on Operating Systems).

Ahmed Khalid Kadhim KadhimView profile

Research Fellow

• Artificial Intelligence
• Machine Learning
• Hyperdimensional Computing
• +3 more

Ahmed Khalid Kadhim Kadhim serves as a PhD Research Fellow at the Department of Information and Communication Technology, University of Agder (UiA), Norway. Based in office A2121 at Jon Lilletuns vei 9, 4879 Grimstad, he maintains active research contributions while pursuing doctoral studies under UiA's structured PhD program. His research centers on cutting-edge artificial intelligence methodologies, specifically investigating hyperdimensional computing applications within Tsetlin Machines. This work bridges theoretical computer science and practical machine learning, focusing on developing resource-efficient, interpretable AI systems through novel vector representations and Boolean logic frameworks. His approach emphasizes computational efficiency while maintaining model transparency—a critical advantage over traditional neural networks in constrained environments. Funded through UiA's competitive PhD Research Fellow position, his work contributes to the university's strategic research priorities in computational intelligence. Current projects explore how hyperdimensional vectors can optimize Tsetlin Machine performance in pattern recognition tasks, with potential applications in edge computing and IoT systems where processing power is limited.

Dongping SongView profile

Professor

• Operations Management
• Supply Chain Management
• Maritime Transport
• +7 more

Prof. Dongping Song is a Professor of Supply Chain Management at the University of Liverpool's Management School. His academic journey includes studies and affiliations with Nankai University, Zhejiang University, Newcastle University, Imperial College London, and Plymouth University. Education and academic background Senior Member of IEEE Associate Editor roles Grants from EPSRC, ESRC, Royal Society, British Council, and European Commission His research focuses on integrating data analytics , mathematical modeling , and machine learning to enhance supply chain , maritime logistics , and transportation systems . Recent work emphasizes container shipping optimization , disruption management , and maritime decarbonization . Recent publications span topics such as port operations , automated terminal strategies , and emission reduction in logistics , applying simulation-based tools and stochastic dynamic programming . He has secured funding from key UK and European research councils, contributing to maritime transport advancements. Collaborations include researchers from institutions like Liverpool John Moores University, Durham University, and others.

• Mathematics Education
• Culturally Responsive Teaching
• Kven Language and Culture in Education
• +7 more

Hilja Lisa Huru is a Professor of Mathematics in the Department of Mathematics and Statistics at UiT The Arctic University of Norway. Her research focuses on culturally responsive mathematics education, particularly examining how Kven language and culture can be integrated into mathematics teaching and learning. She actively contributes to the academic community through numerous publications and participation in research collaborations addressing diversity in mathematics education. Professor of Mathematics, Department of Mathematics and Statistics, UiT The Arctic University of Norway Member of Cultural Diversity in Mathematics Education (CuDiME) research group Member of the research network for Kven topics (Faglig nettverk for forskning og kunnskapsutvikling om kvenske tema) Member of Geometry and Mathematical Physics research group Huru's research primarily centers on culturally responsive mathematics education, with special attention to Kven language and culture integration in mathematics classrooms. Her work explores mathematical abstraction in relation to cultural identity and place-based learning, examining how traditional knowledge systems can inform mathematics pedagogy. She investigates multilingual mathematics classrooms and develops frameworks for culturally based mathematics tasks that draw from Kven traditional artifacts and knowledge. Her research examines narrative storylines in media about mathematics education and minoritized students, highlighting how these narratives shape educational practices and policies. Analysis of Huru's recent publications reveals a consistent focus on the intersection of mathematics education and cultural diversity, particularly regarding minoritized students from Kven backgrounds. Her work demonstrates how mathematical concepts can be connected to students' cultural contexts through land-based pedagogies and traditional knowledge systems. She develops strength-based assessment approaches that recognize students' cultural assets rather than focusing on deficits. Her research shows how mathematical abstraction can create detachment from cultural and environmental contexts, and how reconnecting mathematics to place and culture can enhance learning for minoritized students. Huru collaborates extensively with researchers across Norway, Canada, and the United States through the MIM (Mathematics education responsive to diversity) research collaboration. Her classroom-based research in northern Norway, particularly in Lakselv, demonstrates practical applications of her theoretical work, showing how Kven immersion in mathematics education can support both language revitalization and mathematical learning. She has developed specific teaching resources and frameworks that connect traditional Kven knowledge with mathematical concepts, creating innovative pathways for culturally responsive mathematics instruction.

Knut Martin MørkenView profile

Professor

• Approximation Theory
• Numerical Analysis
• Spline Functions
• +4 more

Knut Martin Mørken is a Professor and Vice Dean for Education at the Department of Mathematics, Faculty of Mathematics and Natural Sciences, University of Oslo. His academic career spans both research and leadership in computational mathematics and science education reform. Roles: Vice Dean of Education (since 2019), Leader of the CCSE (Centre for Computing in Science Education), Former leader of the InterAct educational development project (2012–2019) Teaching: Co-instructor of MAT-INF1100 and INF-MAT5340 courses Research Interests: Approximation theory with focus on spline functions, B-splines, wavelets, and geometric modeling Integration of computational methods into mathematics and science education, spanning the CSE (Computers in Science Education) project and its successor, the CCSE (now a national Centre of Excellence in Education) Scientific Contributions: His work includes algorithm development for function approximation, stability analysis of wavelets on nonuniform triangulations, and interdisciplinary studies on mathematics-computing integration in education. Awards & Recognition: CCSE awarded Centre of Excellence in Education (SFU) by DIKU Collaborations: Active partnerships across departments and institutions, including collaborations with Lyche, Reif, Lockwood, Caballero, and Melvær in research and educational initiatives.

• Mathematics Education
• Critical Mathematics Didactics
• Digital Learning Resources
• +3 more

Professor Rune Herheim is a faculty member at the Department of Language, Literature, Mathematics and Interpretation, Western Norway University of Applied Sciences. He leads the research group 'Mathematics didactics from a critical perspective' and previously directed the ICT/programming subgroup in the LATACME project (2018-2022) focused on critical mathematics education in multilingual classrooms. Herheim serves on editorial boards for Tangenten and Acta Didactica , the board of Caspar Forlag, and the University and College Council's term group, shaping national mathematics education policy. His research centers on critical mathematics didactics, examining mathematics' societal role and professional applications. He investigates programming and digital resources to foster flexible mathematical understanding, analyzes discourse-quality impacts on learning, and develops north-south mathematical toolkits. Herheim emphasizes multilingual contexts and equity-focused pedagogy to democratize mathematics access and challenge power structures in education. Herheim's 2024 publications reveal concentrated exploration of programming typologies in mathematics education, Stieg Mellin-Olsen's critical didactic frameworks, and master's program development. His work bridges theoretical rigor with practical classroom applications, prioritizing collaborative design and culturally responsive approaches across all publications. As a professor, Herheim supervises master's and PhD candidates in educational science and mathematics didactics. His LATACME project leadership and current research group indicate active grant management, while his term group role directly influences national curriculum standards and educational terminology. Herheim co-leads the 'Mathematics didactics from a critical perspective' research group and collaborates with 'Play, Games and Learning' and 'Lidis' teams. These groups drive innovation in mathematics pedagogy through interdisciplinary projects focused on digital tools, critical discourse, and inclusive learning environments.

Toril Eskeland RangnesView profile

Associate Professor

• Mathematics Education
• Programming in Mathematics
• Mathematical Argumentation
• +4 more

Toril Eskeland Rangnes serves as an Associate Professor in Mathematics Education at Østfold University College's Department of Natural Sciences, Practical-Aesthetic, Social and Religious Studies. Her academic work bridges theoretical frameworks with practical classroom applications, focusing on integrating programming and digital tools into mathematics education while addressing multilingual and democratic dimensions of teaching practice. Dr. Rangnes holds a Ph.D. in Mathematics Education from the University of Agder, complemented by a major in Mathematics Education (cand. scient), teacher education with specialization in special education, and completed supervision pedagogy (30 ECTS) for PhD supervision. Her professional journey includes positions as Associate Professor at University of Bergen/Western Norway University of Applied Sciences, University Lecturer at NLA, and primary school teaching experience in Sund municipality. Her research explores programming integration in mathematics education, examining tensions teachers face when implementing computational approaches. She investigates mathematical argumentation through frameworks like Bakhtin's dialogism, analyzing truth, lies, and 'bullshit' in mathematical contexts with special attention to multilingual classrooms. Her work on democratic education in mathematics connects pedagogy with societal values, while her research on mathematical modeling targets elementary education contexts. Current projects include the NFR-funded 'Learning about teaching argumentation for critical mathematics education in multilingual classrooms' (2018-2022) and research on programming's impact on mathematics teaching. As a member of the Didactics in Mathematics, Science and Technology (DiMaNaTe) research group, she contributes to the Digital Society research priority area at Østfold University College. Her scholarly output demonstrates consistent productivity with publications spanning 2023-2025 across international journals and book chapters. She has also served as editor for Tangenten, a journal for mathematics teachers, connecting research with classroom practice.

Dorinde Mechtilde Meike KleinegrisView profile

Associate Professor

• Marine Biotechnology
• Microalgae Cultivation
• Aquaculture
• +5 more

Dorinde Mechtilde Meike Kleinegris serves as an Associate Professor in marine biotechnology with a 20% position at the Department of Biological Sciences (BIO) within the Faculty of Mathematics and Natural Sciences at the University of Bergen. She maintains dual affiliations with both the University of Bergen and NORCE Climate and environment at NORCE Norwegian Research Center AS, where she contributes to marine biotechnology research initiatives. Her work bridges academic research and practical applications in sustainable aquaculture systems. Her research focuses on marine biotechnology with particular emphasis on microalgae cultivation systems, circular bioeconomy applications, and aquaculture waste valorization. Dr. Kleinegris investigates nutrient recovery from aquaculture effluents through microalgal biofilms, fish sludge utilization, and the development of sustainable microalgae production systems for food and feed applications. Her work integrates environmental engineering principles with biological systems to create closed-loop solutions for the aquaculture industry, with special attention to Norwegian conditions and scalability challenges. Analysis of her publication record reveals consistent focus on practical applications of microalgae technology. Her research spans from fundamental studies of microalgal physiology and microbiome interactions to applied techno-economic analyses and waste valorization strategies. A significant portion of her work addresses the integration of recirculating aquaculture systems (RAS) with microalgae production, demonstrating how these systems can be optimized for nutrient recovery and environmental sustainability. Her research has evolved from basic cultivation techniques to comprehensive circular economy approaches that consider economic viability alongside environmental benefits. Dr. Kleinegris actively participates in research projects that translate laboratory findings to industrial applications. She has been instrumental in the National Algaepilot Mongstad initiative, which demonstrates scalable microalgae production for aquaculture feed. Her work on the SLAM-DUNK project specifically addresses the conversion of aquaculture sludge into valuable microalgal biomass, creating sustainable value chains from waste streams. These projects receive funding from multiple sources including the Research Council of Norway, Innovation Norway, and European Union programs. Her laboratory and field work focuses on pilot-scale microalgae cultivation systems, particularly those integrated with aquaculture operations. The National Algaepilot Mongstad facility serves as her primary research platform, where she tests various microalgal strains under Norwegian climatic conditions. Her team investigates strain selection, cultivation parameters, harvesting techniques, and downstream processing to optimize the entire production chain for both economic and environmental performance.

Bo JiangView profile

Research Fellow

• Electrochemistry
• Materials Science
• Solid-State Chemistry
• +5 more

Bo Jiang is a Postdoctoral Fellow in the Department of Chemistry at the University of Oslo's Faculty of Mathematics and Natural Sciences, where he conducts research in the Electrochemistry Research Group. His work bridges fundamental materials science with practical applications in energy technologies. Dr. Jiang's research interests span multiple domains of advanced materials, with particular focus on: Electrochemistry and solid-state ionics Energy storage materials for batteries (potassium-ion and magnesium systems) Lead-free ferroelectric and piezoelectric materials Perovskite oxide materials and their structural properties Nanostructured electrode materials for electrochemical applications Analysis of Dr. Jiang's publication record (2016-2025) reveals a consistent research trajectory focused on structure-property relationships in functional materials. His work shows increasing sophistication in combining computational methods with experimental validation, particularly in understanding local structural disorder in complex materials. The publications demonstrate strong international collaboration and a focus on both fundamental mechanisms and practical applications in energy technologies. Dr. Jiang's research program addresses critical challenges in sustainable energy technologies, with particular emphasis on developing alternatives to lithium-ion battery systems and lead-based piezoelectrics. His work on potassium-ion battery materials and lead-free ferroelectrics positions him at the forefront of environmentally conscious materials development. As a Postdoctoral Fellow, Dr. Jiang actively contributes to the research ecosystem at the University of Oslo, collaborating with senior researchers like Professor Sverre Magnus Selbach while developing his independent research profile. His work demonstrates the capacity for both theoretical insight and practical materials development.

Erlend Fornæss WoldView profile

Professor

• Multiple complex variables
• Complex geometry
• Holomorphic functions
• +2 more

Erlend Fornæss Wold serves as Head of Department at the Department of Mathematics, University of Oslo. His academic career centers on mathematical research with a focus on complex analysis and geometry. Wold's research primarily explores multiple complex variables, with significant contributions to holomorphic embeddings, Fatou-Bieberbach domains, Stein manifolds, and complex dynamics. His work consistently investigates the geometric and topological properties of complex domains, examining how analytic properties interact with structural features of complex spaces. His research has advanced theoretical understanding in several complex variables and related fields. Analysis of Wold's recent publications reveals a sustained focus on holomorphic mappings and embeddings, with particular attention to approximation theory, boundary behavior, and geometric properties of complex domains. His work frequently addresses fundamental questions about the structure of complex manifolds and the behavior of holomorphic functions within them. Wold maintains an active research program with extensive collaborations, particularly with leading mathematicians such as Franc Forstnerič and John Erik Fornæss. His publications span prestigious mathematics journals including International Mathematics Research Notices, Journal of Geometric Analysis, and Proceedings of the American Mathematical Society, demonstrating his significant contributions to the mathematical community.

Shahin JafarzadehView profile

Researcher

• Solar Physics
• Magnetic Field Dynamics
• Wave Propagation in Solar Atmosphere
• +4 more

Shahin Jafarzadeh is a Researcher at the Rosseland Center for Solar Physics (RoCS) at the University of Oslo, Faculty of Mathematics and Natural Sciences, Institute of Theoretical Astrophysics. He has been in this position since December 2016. His research focuses on solar physics, particularly magnetic field dynamics and wave phenomena in the Sun's lower atmosphere. Dr. Jafarzadeh received his Dr.rer.nat. (PhD) with summa cum laude in astronomy with solar physics from the Department of Astrophysics at Georg-August-Universität Göttingen, Germany in 2013. Prior to that, he completed an MSc in Astrophysics at Lund Observatory, Lund University, Sweden in 2009. His academic journey includes postdoctoral positions at the Max Planck Institute for Solar System Research in Germany (2010-2013) and the Department of Theoretical Astrophysics at the University of Oslo (2013-2016). His research interests span solar physics with emphasis on magnetic field dynamics and wave propagation in the solar atmosphere. He specializes in high-resolution observations of the solar atmosphere using both ground-based and space/balloon-borne observatories. His work particularly leverages data from the Atacama Large Millimeter/submillimeter Array (ALMA) to study magnetohydrodynamic waves, solar chromosphere dynamics, and solar atmospheric phenomena at millimeter wavelengths. Analysis of Dr. Jafarzadeh's publication record reveals a strong focus on wave phenomena in the solar atmosphere, particularly magnetohydrodynamic waves in various solar structures including sunspots, pores, and fibrils. His recent work demonstrates increasing use of advanced observational techniques from next-generation solar telescopes and instruments like Solar Orbiter/PHI, ALMA, and IRIS. There's a clear progression toward more sophisticated analysis of wave modes and their role in solar atmospheric heating and dynamics. Dr. Jafarzadeh is actively involved in several major research initiatives including the ALMA – The key to the Sun's coronal heating problem (SolarALMA) project and the ESO ALMA Development Study for high-cadence solar imaging. He is a key member of the Waves in the Lower Solar Atmosphere (WaLSA) international research team and participates in Solar Orbiter's science working group on magnetoconvection. His professional affiliations include the International Astronomical Union and the European Astronomical Society. He contributes to community services through European Solar Physics Online Seminars (ESPOS), the Solar ALMA Science Archive (SALSA), the Norwegian Astronomy Olympiad, and public outreach initiatives including WaLSA's outreach programs and Astronomy on Tap Oslo events.

• Bioinformatics
• Genomics
• Computational Biology
• +4 more

Dr. Alexander Johan Nederbragt ("Lex Nederbragt") is a Senior Lecturer at the University of Oslo's Faculty of Mathematics and Natural Sciences, affiliated with the Centre for Ecological and Evolutionary Synthesis (CEES) and former member of the Centre for Computational Inference in Evolutionary Life Science (CELS). He leads the "Computing in Science Education" initiative within the Bioscience bachelor's program, developing courses like BIOS1100 that integrate Python programming with biological modeling. His educational philosophy emphasizes reverse instructional design and constructive alignment, with a focus on student-active learning and AI-driven pedagogical innovation. Researchwise, Nederbragt specializes in Bioinformatics and Genomics , particularly Evolutionary genomics of fish (Atlantic cod, haddock, grayling) Graph-based reference genome methodologies Genomic repeat element analysis Horizontal gene transfer in diatoms Computational microbiome studies His work spans comparative genomics, genome assembly validation, and bioinformatics software development (NucDiff, NucBreak). Scientific contributions reveal expertise in High-throughput sequencing Genomic architecture Evolutionary adaptation Computational methods Publication trends from 2012-2023 His research frequently intersects with ecological and evolutionary questions, particularly in teleost fishes. Scientific Awards Merittert Utdanner (Excellent Teaching Practitioner), University of Oslo (2023) Olav Thon Foundation National Award for Excellence in Teaching (2025)