Reversible computing Professors and Supervisors in Norway

Lex NederbragtView profile

Associate Professor

University of OsloNorway

Lex Nederbragt is an Associate Professor at the University of Oslo , affiliated with the Faculty of Mathematics and Natural Sciences and the Centre for Ecological and Evolutionary Synthesis . His work bridges genomics , bioinformatics , and STEM education , focusing on integrating computational methods into bioscience teaching. Email: lex.nederbragt@ibv.uio.no Phone: +47 22844132 Room: 3404 Lex specializes in genomics , particularly teleost fish genetics , genome assembly , and bioinformatics tool development . His research explores evolutionary biology , including immune gene evolution , hybrid speciation , and horizontal gene transfer . He also advances computational education through active learning , reverse instructional design , and Software Carpentry . His recent publications address graph-based genome analysis , genomic repeat landscapes , and pedagogical strategies . He received the Olav Thon Foundation national award for excellence in teaching (2025) and was recognized as a Merittert Utdanner (2023). Co-developer of tools like NucBreak , NucDiff , and khmer . Key contributor to Atlantic cod and grayling genome projects.

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John-Peder KvittingView profile

Associate Professor

University of OsloNorway

John-Peder Kvitting is an Associate Professor at the Department of Cardiothoracic Surgery, University of Oslo, and a Senior Consultant at Oslo University Hospital, Rikshospitalet. He received his M.D. in 2002 and Ph.D. in 2004 from Linköping University, Sweden, focusing on cardiovascular flow and myocardial function. From 2008-2010, he completed a postdoctoral fellowship at Stanford University School of Medicine under Professor D. Craig Miller. Education: M.D. (2002), Ph.D. (2004) Linköping University Positions: Senior Consultant Cardiothoracic Surgeon (2010-present), Associate Professor (University of Oslo, 2016-present) His research focuses on aortic valve repair , valve-sparing aortic root replacement , mitral valve surgery , and pathogenesis of calcific aortic valve disease . Recent publications highlight work in 4D flow MRI, platelet function during bypass, and aortic arch surgery. He has published extensively on valvular calcification mechanisms and surgical outcomes for complex cardiac conditions. Key article trends include calcific valve disease (in vitro/ex vivo models, multi-omics), mitral annular dynamics (strain analysis, device evaluation), and chronic thromboembolic pulmonary hypertension (surgical comparisons, remodeling studies). Collaborative work spans institutions in Sweden, USA, and Norway, with affiliations to the Cardiogenetics and Sudden Cardiac Death research group.

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Hans Joakim SkadsemView profile

Associate Professor

University of StavangerNorway

Hans Joakim Skadsem is an Associate Professor at the Department of Energy and Petroleum Engineering, Faculty of Science and Technology, University of Stavanger. His research is centered on experimental and computational fluid dynamics in industrial processes, particularly related to well construction, including fluid displacement, well cementing, and particle transport in complex geometries such as eccentric annuli. His research interests include: Fluid mechanics of single- and multiphase flows Measurement, modeling, and simulation of fluid dynamics Rheology of non-Newtonian and complex fluids Application of computational methods in engineering Wellbore flow processes His recent publications span topics such as density-unstable displacements, cement sheath integrity, reverse circulation, pipe viscometry, and microannulus sealing, reflecting a strong focus on both fundamental fluid dynamics and practical well integrity challenges. He frequently publishes in high-impact journals like Physics of Fluids , SPE Journal , and Journal of Petroleum Science and Engineering , often using combined experimental and numerical approaches. While no specific scientific awards are listed, his consistent publication record and leadership in key research areas indicate professional recognition. His work often involves collaboration with industry and academic partners, and he contributes to advancements in measurement techniques and modeling tools for field applications. He is actively involved in research related to well abandonment, zonal isolation, and downhole fluid behavior, with implications for long-term well integrity and environmental safety. Skadsem has held previous positions at IRIS, DNV, and Scandpower AS, bringing significant industry-relevant experience to his academic role. He is not part-time, retired, or deceased, and remains an active faculty member.

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Joakim BergliView profile

Professor

University of OsloNorway

Joakim Bergli is a Professor in Condensed Matter Physics at the University of Oslo's Department of Physics. His research focuses on theoretical solid-state physics, including quantum transport, quantum information theory, and foundational quantum mechanics. He is particularly known for work on decoherence in superconducting qubits and electron glass phenomena. He teaches courses such as FYS4110 (Modern Quantum Mechanics) and FYS1100 (Mechanics and Modeling). His recent publications span quantum thermodynamics optimization via reinforcement learning, photon interference experiments, and material dielectric properties. He collaborates on projects like the QOMBINE initiative for quantum computing and many-body theory. Key research themes include quantum system control, noise analysis in qubits, and energy landscape interpretations. His work bridges foundational quantum theory with applied areas like quantum technology and biophysical systems.

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Iain JohnstonView profile

Professor

University of BergenNorway

Iain Johnston is a Professor in the Department of Mathematics at the University of Bergen, Norway. His research focuses on computational and theoretical approaches to understanding mitochondrial genetics, evolutionary biology, and stochastic processes in biological systems. He is affiliated with the Computational Biology Unit (CBU) and The Alan Turing Institute. His work integrates mathematical modeling, bioinformatics, and experimental data to study organelle genome evolution, disease progression, and evolutionary dynamics. Key research areas include mitochondrial DNA heteroplasmy, organelle gene retention, and the development of computational tools like HyperTraPS for analyzing evolutionary pathways. He collaborates internationally on topics such as antimicrobial resistance modeling, cancer progression systems, and plant mitochondrial dynamics. His interdisciplinary approach bridges mathematics, biology, and computer science. Johnston’s publications span high-impact journals like *Science Advances*, *Proceedings of the National Academy of Sciences*, and *Genome Biology and Evolution*. He has contributed to understanding mitochondrial bottlenecks, organelle network dynamics, and the application of stochastic models to real-world biological systems.

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Johannes Lagethon BjørnstadView profile

Associate Professor

University of OsloNorway

Johannes Lagethon Bjørnstad is an Associate Professor at the Department of Cardiothoracic Surgery, University of Oslo. He is also a Consultant Surgeon at Oslo University Hospital (OUH) with a focus on adult cardiac surgery and valve interventions. Education: M.D. from University of Bergen (1999) Ph.D. from University of Oslo (2011) Research Interests: Bjørnstad's work centers on myocardial remodeling and reverse remodeling mechanisms in the heart, particularly in relation to aortic stenosis and pressure overload. He investigates how extracellular matrix changes, TGF-β/SMAD signaling pathways, and anticoagulant therapies impact cardiac function and recovery. His studies often combine experimental models with clinical data from national registries. Article Trends: His recent publications (2022-2024) focus on anticoagulant management during cardiac emergencies, while earlier work (2012-2015) explores molecular mechanisms in heart failure and reverse remodeling. Key themes include cardiac surgery , extracellular matrix dynamics , and novel anticoagulant therapies . Full Description: Bjørnstad is a physician-scientist bridging clinical practice and translational research. His Ph.D. thesis (2011) introduced a mouse model for studying reverse remodeling, revealing early extracellular matrix changes. He has contributed to understanding how collagen isoforms, proteoglycans (like lumican and decorin), and cytokines (GDF-15, endothelin-1) regulate cardiac recovery. Clinical studies examine operative survival rates, post-surgery rehabilitation, and gender/age disparities in cardiac outcomes. Collaborations span institutions like Oslo University Hospital, University of Bergen, and University of Oslo. Current projects include anticoagulant removal techniques during emergencies and long-term registry analysis of aortic disease outcomes.

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Alexander Johan NederbragtView profile

Senior Lecturer

University of OsloNorway

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)

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Bjørn SolvangView profile

Professor

UiT The Arctic University of NorwayNorway

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.

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Xu SunView profile

Research Fellow

UiT The Arctic University of NorwayNorway

Xu Sun is a Postdoctoral Fellow at the Department of Industrial Engineering, UiT The Arctic University of Norway, Campus Narvik. His research bridges logistics, sustainability, and digital innovation within Industry 4.0/5.0 frameworks, with a focus on practical applications in Norwegian contexts including electric vehicle infrastructure and pandemic response. His research portfolio spans Reverse Logistics, Sustainable Logistics, Closed-Loop Supply Chains, Digital Twins, and Industry 5.0 integration. Key themes include applying generative AI to logistics network design, optimizing charging infrastructure for electric trucks, and developing digital twins for circular economy systems. His work emphasizes multi-objective decision-making to balance environmental, social, and economic sustainability in logistics operations. Analysis of Xu Sun's publication trends reveals a strategic shift toward human-centric digital solutions in logistics. Recent works integrate generative AI, digital twins, and simulation to address Industry 5.0 challenges, with notable emphasis on electric mobility infrastructure (2024-2025) and pandemic-related logistics (2021-2022). His research consistently employs case studies from Norway, demonstrating practical applicability while advancing theoretical models for sustainable supply chains. No scientific awards were documented in the source material. While specific student advising details are absent from the profile, Xu Sun's collaborative publication record indicates active mentorship within research teams. His projects frequently involve multi-institutional partnerships and industry engagement, though explicit grant information is not provided in the available text. Xu Sun contributes to the ArcLog research group's Intelligent Manufacturing and Logistics team and leads the 'Industry 5.0 enabled Smart Logistics' project. His work leverages tools like AnyLogic simulation and digital twin technology to develop human-centered logistics solutions, with physical operations based in Campus Narvik office D2150.

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Tone TønjumView profile

Professor

University of OsloNorway

Tone Tønjum is a Professor at the Department of Microbiology , University of Oslo. Her research spans Mycobacterium tuberculosis pathogenesis, antimicrobial resistance , and DNA repair mechanisms in bacterial pathogens. Member of Det Norske Videnskaps-Akademi (The Norwegian Academy of Science and Letters) European Academy of Microbiology Key research areas include: proteomics of drug-resistant tuberculosis, drug development for mycobacterial infections, and DNA metabolism in pathogenic bacteria. Collaborations extend to the Center for Healthy Aging (CEHA) , Copenhagen, and the Institute for Molecular Infection Biology (IMIB) , Würzburg. Recent work explores bioisosteric drug modifications to reduce linezolid toxicity, novel antitubercular hybrids (e.g., spirooxindolopyrrolidine-chromanone), and epiphytic marine biomass as antimicrobial resources. Publications highlight interdisciplinary approaches combining organic synthesis, computational modeling, and clinical microbiology. Scientific awards include membership in the Norwegian Academy of Science and Letters and the European Academy of Microbiology. Her affiliations with research groups like Genome Dynamics and SERTA: Healthy Brain Ageing Centre reflect cross-disciplinary interests, including neurodegenerative disease mechanisms. Contact: tone.tonjum@medisin.uio.no , +47 90152936.

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Morten Birkeland NielsenView profile

Professor

University of BergenNorway

Morten Birkeland Nielsen is a Professor in the Department of Social Psychology at the University of Bergen, maintaining a dual affiliation with the Norwegian Working Environment Institute (Statens arbeidsmiljøinstitutt). He leads the Bergen Bullying Research Group and participates in the Research Group for Work Environment, Management and Conflict (FALK). His research focuses on workplace bullying dynamics, particularly examining bystander effects, leadership as targets of bullying, destructive management practices, and whistleblowing. Additional interests include safety and security climate, office design impacts on health, and quantitative research methods including meta-analyses. His work bridges organizational psychology with practical workplace health interventions. Analysis of Nielsen's recent publications reveals a strong emphasis on workplace bullying consequences, with particular attention to bystander effects and leadership vulnerability. His methodological approach combines prospective cohort designs with registry-linked health data, producing high-impact findings on how technology problems, office design, and bullying exposure affect mental health and absenteeism. The research consistently demonstrates how psychosocial work factors translate into measurable health outcomes. Nielsen actively supervises multiple research projects examining work environment factors including office concepts' effects on health, sick leave among home care workers, workplace aggression in child protection services, and longitudinal determinants of work absence. His research group employs advanced statistical methods including Bayesian analysis and multilevel modeling to address complex workplace health questions. His laboratory work centers on the Bergen Bullying Research Group, which conducts both theoretical and applied research on workplace aggression. The group's work informs Norwegian workplace policies and contributes to international understanding of bullying mechanisms and interventions. Current projects examine how office design influences sickness presenteeism, the health consequences of computer hassles, and longitudinal patterns of work absence.

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Eilif Sommer ØyreView profile

Research Fellow

University of OsloNorway

Eilif Sommer Øyre is a Research Fellow at the Rosseland Centre for Solar Physics, University of Oslo, affiliated with the Faculty of Mathematics and Natural Sciences. Based in Room 210 at Svein Rosselands hus, he contributes to solar physics research and high-performance computing initiatives, with contact via e.s.oyre@astro.uio.no. His academic background includes: Master of Science in Engineering Physics from the Norwegian University of Science and Technology (NTNU), 2021 His research centers on solar physics and computational methods, specializing in accelerated particles, numerical analysis, and high-performance computing. He develops simulations to model solar phenomena and particle acceleration mechanisms, bridging astrophysical theory with advanced computational techniques for energy-related processes in stellar environments. His 2020 publications reveal interdisciplinary expertise, applying astrophysical computational frameworks to energy engineering challenges—specifically salinity gradient power generation and battery thermal systems—highlighting methodological transfer between solar physics and sustainable energy technologies. As a teaching assistant for AST2000 - Introduction to Astrophysics, he mentors undergraduate students in core astrophysical concepts. He actively collaborates within the Rosseland Centre for Solar Physics team, leveraging high-performance computing resources for solar dynamics simulations and contributing to Norway's leadership in solar research.

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