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Guri Birgitte VerneView profile

Senior Lecturer

• Computer Supported Cooperative Work
• Participatory Design
• Qualitative Research Methods
• +3 more

Guri Birgitte Verne is a Senior Lecturer at the University of Oslo’s Department of Design of Information Systems. Her work focuses on human-centered technologies in public administration, including participatory design, automation ethics, and digital service accessibility. She has held roles in academia, government, and research institutions since 1983. Current Position: Senior Lecturer (since 2019) Prior Roles: Post.doc in BRIS project (2015-2018), Government Consultant (2000-2007), Norwegian Computing Center (1983-1999) Research Interests Dr. Verne’s research explores the intersection of technology and societal practices. Key areas include: Design of inclusive digital public services Ethical implications of automation and AI in governance Participatory methods for citizen engagement Recent Work Trends Her recent publications analyze chatbot usability for marginalized groups, automation in media workflows, and human-robot interaction in domestic settings. She emphasizes bridging technical systems with real-world societal needs. Awards & Grants Her post-doctoral work was funded by the Regional Research Fund. She served on Norway’s National Research Ethics Committee for Science and Technology (2006-2009). Labs & Collaborations She is part of the Design of Information Systems (DESIGN) research group, collaborating on projects like the BRIS initiative and participatory design conferences.

Henrique Musseli CezarView profile

Researcher

• Computational Physics
• Theoretical Chemistry
• Molecular Simulation
• +3 more

Henrique Musseli Cezar is a Researcher at the Hylleraas Centre for Quantum Molecular Sciences within the Department of Chemistry at the University of Oslo. His research focuses on developing molecular simulation methods, particularly applying machine learning potentials to study phenomena such as ionic conductivity in metal-organic frameworks. He holds a Ph.D. in Physics from the University of São Paulo, with postdoctoral experience at both the University of Oslo and the University of São Paulo, where he investigated computational nanofluidics and Monte Carlo methods. Research Interests : His work spans Computational physics and theoretical chemistry, Machine learning-enhanced molecular dynamics, Nanostructured materials and their applications in environmental science, Monte Carlo and Metainference methods, Phase behavior and adsorption properties in nanomaterials. Awards : He has received notable recognition including the Best PhD thesis in Atomic/Molecular Physics (Brazilian Physical Society), Top Downloaded Paper awards, and multiple poster/flash talk accolades for his contributions to molecular simulation and computational methods. Grants & Fellowships : His postdoctoral research was supported by FAPESP (Brazil) for nanofluidics studies, CAPES and CNPq fellowships for his Ph.D. and Master’s research, Current affiliation with the Hylleraas Centre funded by Norwegian research grants. Labs & Collaborations : Active in the Hylleraas Centre, he collaborates internationally on projects blending computational and experimental approaches, such as the H2O-MOF initiative and studies on surfactant structures and greenhouse gas adsorption.

Jukka CoranderView profile

Professor

• Bayesian Statistics
• Inference Methods
• Stochastic Simulation Algorithms
• +7 more

Jukka Corander is a Professor at the University of Oslo's Department of Biostatistics, Faculty of Medicine, and concurrently holds positions at the University of Helsinki's Department of Mathematics and Statistics. He specializes in Bayesian statistics, microbial genomics, and evolutionary biology, with a focus on bacterial pathogen evolution and antibiotic resistance mechanisms. Affiliations: Professor, Department of Biostatistics, University of Oslo (since 2016) Professor, Department of Mathematics and Statistics, University of Helsinki (since 2009) Former roles at Åbo Akademi University and Churchill College, University of Cambridge Research Interests: Bayesian inference methods, stochastic simulation algorithms, machine learning applications in genomics, population genetics of bacteria, and forensic statistical analyses. Key Awards: 2015 Cozzarelli Prize (PNAS) for groundbreaking work on bacterial pathogen evolution 2008 Per Brahe Award (Young Scientist of the Year) Grants & Leadership: ERC StG Grant (SmartBayes, 2009–2014) COIN Centre of Excellence (Vice-Director, 2015–2017) Leadership roles in Helsinki Institute of Information Technology (HIIT) Labs & Collaborations: Leads the Corander Lab, focusing on computational methods for microbial genomics and evolutionary analysis. Collaborates globally on projects involving antibiotic resistance, pathogen transmission, and epidemiological modeling.

• Electronic Structure Chemistry
• Quantum Chemistry
• Computational Chemistry
• +5 more

Ida-Marie Høyvik is a Professor in the Department of Chemistry at the Norwegian University of Science and Technology (NTNU), affiliated with the Faculty of Natural Sciences. Her research focuses on electronic structure theory, particularly developing particle-breaking wave function models for open molecular systems. She was a Young CAS Fellow (2022-2024), exploring applications of these models to redox processes. Key contributions include advancements in multilevel Hartree-Fock and coupled cluster methods, and software development (e.g., the eT program). Her teaching includes courses in quantum chemistry, nanotechnology, and data analysis in chemistry. Notable projects involve funded research from the Research Council of Norway and collaborations on educational strategies linking mathematics and engineering. Research Themes: Electronic structure models, wave function theory, redox processes, and computational methods. Awards: Young CAS Fellow (2022-2024). Supervised Theses: Includes doctoral work on real-time coupled-cluster approaches and master’s projects on multilevel Hartree-Fock and coupled cluster methodologies. Software Contributions: Co-developer of the eT electronic structure program. Recent publications highlight innovations in particle-breaking frameworks, fractional charging models, and linear-scaling implementations for large systems. Her work bridges theoretical advancements with practical applications in molecular dynamics and material science.

Franz Georg FuchsView profile

Associate Professor

• Quantum Computing
• Quantum Error Correction
• Several Complex Variables
• +3 more

Franz Georg Fuchs is an Associate Professor at the Department of Mathematics, University of Oslo. He holds a PhD in Applied Mathematics (2009) from the University of Oslo and a Master's degree in Mathematics from the Technical University of Munich (2006). His research focuses on developing quantum computing algorithms and quantum error correction, with contributions to numerical methods in fluid dynamics and magnetohydrodynamics. Education: PhD in Applied Mathematics, University of Oslo, 2009 Master's in Mathematics, Technical University of Munich, 2006 Research Interests: Quantum computing algorithms, quantum error correction, numerical methods for PDEs, computational fluid dynamics, and operator algebras. His work bridges theoretical foundations with practical applications, including software development for quantum reservoir computing and optimization frameworks like QAOA. Publications: Over 20 peer-reviewed articles in journals like Quantum , Journal of Computational Physics , and SIAM Journal on Scientific Computing . Recent work emphasizes quantum software tools and constrained optimization techniques. Awards: None explicitly listed. Active in research projects like the Gemini Center on Quantum Computing and the QOMBINE initiative. Labs/Teams: Involved in the Mathematics for Quantum Computing and Many-Body Theory (QOMBINE) project, collaborating with SINTEF and international researchers.

• Computational Mathematics
• Differential Equations
• Signal Processing
• +3 more

Øyvind Ryan is a Senior Lecturer at the Department of Differential Equations and Computational Mathematics at the University of Oslo. He specializes in computational mathematics, signal processing, and random matrix theory. His research integrates theoretical mathematics with practical applications in signal processing, image compression, and wireless communication systems. Research interests include wavelet analysis, numerical methods, statistical inference, and the asymptotic behavior of random matrices. His work often bridges pure mathematics and engineering challenges, such as optimizing channel capacity estimation and developing efficient compression techniques for low-bit-depth images. Key contributions span topics like Vandermonde matrices in cognitive radio systems, free probability theory applications, and runlength-based processing for map images. His articles frequently appear in top journals such as IEEE Transactions on Signal Processing and Acta Applicandae Mathematicae. Affiliated with the Computational Mathematics research group at the University of Oslo, Ryan collaborates on projects involving advanced signal processing methodologies. No specific advising roles or grants are explicitly listed in the provided materials, though his extensive publication record reflects sustained scholarly activity.

Nils Agne NordbottenView profile

Associate Professor

• Cybersecurity
• Networking
• Military Communications
• +3 more

Nils Agne Nordbotten is an Associate Professor (20% position) at the University of Oslo's Institute of Transport Economics (ITS), with a main position at Thales Norway AS. His primary affiliation is with the Section for Autonomous Systems and Sensor Technologies. Nordbotten specializes in ICT and cybersecurity, with a focus on cross-domain security, fault-tolerant networks, and military communication systems. His research interests include cybersecurity frameworks for military and coalition networks, secure cross-domain information exchange, and adaptive routing methodologies for high-assurance systems. He has contributed to IEEE conferences and journals on topics such as network security function virtualization, XML/web services security, and fault-tolerant interconnection networks. Nordbotten's work spans both academia and industry, with notable collaborations on NATO transformation projects and MILS (Multiple Independent Levels of Security) architectures. His publications address challenges in secure communication protocols, machine learning for automated security classification, and resilient network design.

Jonas Gahr Sturtzel LundeView profile

Research Fellow

• Cosmology
• Line Intensity Mapping
• Cosmic Microwave Background (CMB)
• +2 more

Jonas Gahr Sturtzel Lunde is a Research Fellow at the Institute of Theoretical Astrophysics, University of Oslo, within the Faculty of Mathematics and Natural Sciences. He holds a Master's in Computational Science: Astrophysics and a Bachelor's in Physics, Astronomy, and Meteorology, both from the University of Oslo. His research focuses on cosmology, line intensity mapping, cosmic microwave background (CMB) analysis, and high-performance computing. He contributes to the CMB&CO group and the COMAP experiment, which explores molecular gas distribution and CMB signals. His work involves analyzing data from the COMAP Pathfinder, developing methodologies for CMB experiments, and collaborating on projects like COSMOGLOBE. Notable research areas include spinning dust emission studies, CO power spectrum analysis, and improving data processing techniques. Lunde has taught as a teaching assistant in courses like Astrophysics and Computational Physics.

Margunn AanestadView profile

Professor

• Digital Transformation
• Health Informatics
• eHealth Platforms
• +6 more

Margunn Aanestad is a Professor at the Department of Information Systems at the University of Agder (Norway). Her work focuses on digital transformation, healthcare innovation, and the socio-technical challenges of implementing information systems. She is affiliated with research groups such as CeDiT (Center for Digital Transformation) and Human-Centered AI (HCAI). Research Interests: Aanestad’s research spans eHealth platforms, AI ethics, data governance, and sustainability in digital systems. She emphasizes critical perspectives on technology, such as digital degrowth and responsible AI implementation. Her work often examines how infrastructures shape healthcare practices and public sector analytics. Publications: Recent work addresses barriers in e-waste management, Latour’s legacy in IS research, and sociotechnical resilience in healthcare. Her articles explore themes like platform orchestration, digital sustainability, and hybrid data flows in healthcare systems. Grants & Collaborations: Aanestad collaborates on projects related to digital health governance, workplace datafication, and Nordic welfare systems. She contributes to initiatives addressing the digital competence needs of healthcare workers and leaders. Labs & Teams: Active in CeDiT and HCAI, she leads interdisciplinary teams studying infrastructuring practices and AI’s societal impacts. Her research bridges academia and industry, with case studies in Norway, Brazil, Colombia, and Greece.

Dirkjan van der LindeView profile

Assistant Professor

• Installation Art
• Sound Art
• Architectural Space Interventions
• +3 more

Dirkjan van der Linde is an Assistant Professor at the Academy of Fine Art, Oslo National Academy of the Arts. As practicing artist working in sculpture, installation, and sound art, his work explores architectural space activation through material interventions and auditory practices. 1996-1998: Statens Kunstakademi (Oslo, Norway) 1979-1984: Academie voor Beeldende Kunsten St.Joost (Breda, Netherlands) His artistic research focuses on: Architectural space and installation dynamics Sound's role in spatial experience Studio and public space interactions Temporal and procedural artistic systems Educational art practices Collective trauma representation His personal website documents decades of practice including sound installations, spatial interventions, and sculptural works. Collaborative projects like Holding Balance (2014) and Proximity and Distance (2013) demonstrate ongoing engagement with space-body relationships. Teaching practices emphasize: Dialogic knowledge exchange Practice-based learning Critical engagement with materials Studio as research laboratory Curiosity-driven methodology Collective artistic environment

Jefferson MollériView profile

Associate Professor

• Software Engineering
• Computer Science
• Empirical Research Methods
• +10 more

Jefferson Molléri is an Associate Professor at Kristiania University College's School of Economics, Innovation and Technology. He specializes in evidence-based software engineering and empirical research methods, focusing on software process improvement, AI applications in software engineering, and human factors in technology development. PhD in Software Engineering (Blekinge Institute of Technology, 2019) Postdoctoral research at Simula Metropolitan Centre for Digital Engineering Academic experience since 2014 His research emphasizes methodological rigor, ethical considerations, and participatory approaches in software engineering. He has developed empirical standards and checklists for survey research validation. Recent publications focus on DataOps integration, hybrid workplace transformations, and research quality frameworks. Jefferson teaches software engineering, information technology, and computer science courses. He advocates for critical appraisal of scientific literature and has extensive experience supervising students across undergraduate, graduate, and doctoral programs.

Tiril SchrøderView profile

Professor

• Drawing
• Narrative Art
• Digital Media
• +2 more

Tiril Schrøder is Professor of Drawing at Kunsthøgskolen i Oslo (Oslo National Academy of the Arts). Educated at art academies in Hamburg, Oslo and Copenhagen, she specializes in spatial drawing installations and narrative art forms. Her work explores the intersection of traditional techniques with digital media, examining how audiences engage with visual narratives in physical spaces. Research interests include: Hybrid drawing practices combining analog and digital techniques Narrative structures in exhibition contexts AI integration in artistic processes Comics and popular culture influences Schrøder has exhibited internationally and curated public art projects, with works held in collections including the National Gallery in Oslo.

Jan Arne TelleView profile

Professor

• Algorithms
• Computational Complexity
• Graph Theory
• +3 more

Jan Arne Telle is a Professor in the Department of Informatics at the University of Bergen. His research focuses on algorithms, computational complexity, and graph theory, with recent contributions to explainable AI (XAI) and machine teaching. He leads the Norwegian Research Council-funded project 'Machine Teaching for Explainable AI' and has taught courses such as INF339 on Algorithmics of Causality. His work spans graph algorithms, parameterized complexity, and combinatorial optimization, with notable contributions to graph decomposition techniques like mim-width, cliquewidth, and boolean-width. Collaborations include researchers from institutions like the University of Rostock and the University of Montpellier. Key research trends include analyzing time series classification interpretability, optimizing robust simplifications for machine learning models, and solving combinatorial problems in machine teaching. Telle's algorithms for problems like Feedback Vertex Set and Perfect Matching Cut have advanced the field of parameterized complexity. Despite no listed awards, his extensive publication record reflects significant academic impact. He is involved in the Algorithms Research Group at UiB and contributes to computational theory education and outreach, including participation in programming competitions and academic leadership roles.

Joachim RudolphView profile

Professor

• Control Theory
• Distributed Parameter Systems
• Robotics
• +8 more

Prof. Joachim Rudolph is a full professor and head of the Chair of Systems Theory and Control Engineering at Saarland University, Germany. He holds a doctoral degree from Université Paris Sud (1991) and a habilitation from TU Dresden (2003). His research focuses on control theory, distributed parameter systems, robotics, and multicopter coordination. He leads projects on cooperative multicopter load transport with heavy ropes and digital hydraulics. Rudolph is an associate editor for multiple journals and a member of IEEE, IMA, and IFAC. Education: 1991: PhD, Université Paris Sud, France 2003: Habilitation, TU Dresden, Germany 1989: Dipl.-Ing., Stuttgart University, Germany Research Interests: Nonlinear control and model-based methods PDE-ODE coupled systems and hyperbolic PDEs Robotics and multicopter coordination Parameter identification and observer design His work on distributed parameter systems applies flatness-based control to systems like heavy ropes and fluid transmission lines. Recent projects include DFG-funded research on tricopter load transport and digital hydraulics. Teaching: Systems Theory and Control Engineering series (courses 1-5) System Modelling - Continuous Systems Advanced control topics for mechatronics Key Roles: Erasmus coordinator for Mechatronics Deputy Managing Director for Systems Engineering Editorial roles for Mathematical and Computer Modelling of Dynamical Systems and others Lab/Team: The Chair of Systems Theory and Control Engineering actively develops control algorithms for aerospace robotics, hydraulic systems, and industrial automation.

• Industrial Asset Management
• Operation and Maintenance Engineering
• Condition Monitoring
• +3 more

Tore Markeset is a Professor of Mechanical Engineering specializing in operations and maintenance engineering at the University of Stavanger. He has held roles as Head of the Department of Safety, Economics and Planning and served as an adjunct Professor at the Arctic University of Norway (UiT, Tromsø). His research focuses on industrial asset management, condition monitoring, and lifecycle costing. Markeset holds a BSc in Petroleum Engineering (1985) and dual BSc/MSc in Mechanical Engineering (1989/1991) from the University of Minnesota. He earned his PhD in offshore technology from the University of Stavanger in 2003. His work emphasizes operational risk assessment, maintenance optimization, and Arctic operational challenges. He has authored over 150 publications (h-index: 23/Scopus 20), supervised 15 PhD students, and contributed to advancing asset management frameworks in offshore and energy sectors. Key projects include strategic digitalization of asset lifecycle management and risk-based inspection methodologies. Markeset’s awards include notable h-index metrics, reflecting his impactful research. He actively engages in industry-academia collaboration, addressing challenges in subsea production systems, wind farm operations, and cost-benefit analysis for petroleum projects.