Alf Steinar Sætre is a Professor of Innovation and Strategy at the Norwegian University of Science and Technology (NTNU), Department of Industrial Economics and Technology Management. He leads the Norwegian Research School in Innovation's Program (NORSi-PIMS), collaborating with institutions like Harvard Business School and INSEAD. His research focuses on innovation management, ambiguity in innovation processes, organizational adaptation, and sustainable business models. Education: MSc in Economics and Business Administration from the Norwegian School of Economics, Bergen PhD in Organizational Communication from the University of Texas at Austin (Fulbright Scholar) Research Interests: Management of ambiguity in innovation Innovation project termination Organizational learning and adaptation Sustainability integration in business models His work bridges theory and practice, emphasizing strategic problem formulation and psychological ownership in innovation. Teaching & Awards: Recipient of Indøk's Lecturer of the Year (2018) Teaches Innovation Management (TIØ4180) and Engaged Scholarship (ØK8101) Outreach: Leads the PIMS Executive Forum, connecting executives with innovation scholars. Authored books like Communication in Organizations and contributed to global research networks.
Elena Celledoni is a Professor in the Department of Mathematical Sciences at the Norwegian University of Science and Technology (NTNU). She has been employed at NTNU since 2004 and has held the position of professor since 2009. She is a member of the Differential Equations and Numerical Analysis Group at the Department of Mathematical Sciences and serves as its leader. Her educational background includes: Master's degree in Mathematics from the University of Trieste (1993) Ph.D. in Computational Mathematics from the University of Padua, Italy (1997) Elena Celledoni's research focuses on numerical analysis, particularly structure preserving algorithms for differential equations and geometric numerical integration. Her work bridges theoretical mathematics with practical computational methods, developing algorithms that maintain the geometric properties of the systems they approximate. She has made significant contributions to Lie group integrators, energy-preserving methods, and the application of these techniques to mechanical systems and shape analysis. In recent years, her research has expanded to include the intersection of numerical methods with machine learning, exploring how structure-preserving approaches can enhance neural networks and data-driven modeling. Her publications demonstrate a clear trend toward integrating traditional numerical analysis with modern machine learning techniques while maintaining a strong foundation in geometric integration and structure preservation. This interdisciplinary approach has led to innovations in neural ODEs, structure-preserving neural networks, and physics-informed machine learning models that respect the underlying mathematical structures of the systems they model. Elena Celledoni has received recognition for her work through the following honors: Member of the Royal Norwegian Society of Sciences and Letters Member of the European Consortium of Mathematics in Industry Council Member of the board of the International Council of Mathematics in Industry and Applications Editorial board member for SIAM Review, Journal of Computational Dynamics, Journal of Geometric Mechanics, Calcolo, and Networks and Heterogeneous Media As an advisor, she has mentored several students including Torbjørn Ringholm who completed his doctoral dissertation on 'Discrete gradient methods in image processing and partial differential equations on moving meshes.' Her research has been supported by various grants enabling her to lead projects on geometric numerical integration, collaborate internationally, and organize significant academic events such as the special semester at Isaac Newton Institute of MS in 2019 on 'Geometry, compatibility and structure preservation.' She leads the Differential Equations and Numerical Analysis Group at NTNU, which focuses on developing and analyzing numerical methods that preserve the geometric structure of differential equations. The group maintains active collaborations with researchers worldwide and has made substantial contributions to advancing the field of geometric numerical integration and its applications to real-world problems.
Tatiana Aleksandrovna Iakovleva is a Professor of Entrepreneurship Studies at the University of Stavanger (UiS), affiliated with the UiS School of Business and the Department of Innovation, Management and Marketing. She is actively engaged in research on responsible innovation, digital health, user involvement, and entrepreneurship. Her research interests include responsible innovation, digital health, user engagement in innovation, living labs, open innovation, stakeholder involvement, healthcare innovation, social innovation, and regional development. She explores how innovation can be conducted ethically and inclusively, particularly in public and healthcare sectors. Her recent publications (2020–2025) reveal a strong focus on responsible innovation in digital health, user empowerment, and collaborative innovation spaces such as living labs. Themes include stakeholder inclusion, boundary innovation spaces, patient engagement, and the role of universities in regional development. Her work spans interdisciplinary fields, combining insights from management, public health, innovation studies, and social sciences. She has collaborated extensively with researchers such as Elin Merethe Oftedal, John Bessant, Raj Kumar Thapa, and others, contributing to high-impact journals and international conferences like ISPIM and Routledge handbooks. She advises students and researchers in entrepreneurship and innovation, though specific names are not listed in the provided text. She is involved in projects related to digital health innovation, responsible research, and university-industry collaboration. She is associated with the Norwegian Smart Care Lab and participates in participatory research involving service users and professionals in mental health care. Her work emphasizes inclusive and responsible approaches to innovation, particularly in public service contexts.
Zhiyuan Wu is a Doctoral Research Fellow at the University of Oslo , affiliated with the Digital Signal Processing and Image Analysis research group under the Faculty of Mathematics and Natural Sciences . Education: Bachelor’s degree in Communication Systems and Information Technology from Lanzhou University, China Master’s degree from the Technical University of Munich, School of CIT Research Focus: Zhiyuan Wu specializes in machine learning, with particular emphasis on probabilistic graphical models, information theory, and tackling real-world challenges such as distributional shifts and privacy concerns. His work explores entropy regularization techniques to address label shift in distributed learning systems, aiming to improve model robustness and data privacy across diverse domains like medical applications. Publications & Research Trends: His recent publication at the International Conference on Learning Representations highlights a novel approach to mitigating label shift through entropy regularization. This aligns with his broader research goals of enhancing the adaptability and interpretability of machine learning models in dynamic, privacy-sensitive environments. Labs & Teams: He is actively involved with the Digital Signal Processing and Image Analysis (DSB) research group, contributing to collaborative projects that bridge theoretical advancements with practical implementations in machine learning.
Shao-Fang Wen is an Associate Professor at the Department of Information Security and Communication Technology, Faculty of Information Technology and Electrical Engineering, Norwegian University of Science and Technology (NTNU). Their work focuses on integrating artificial intelligence with cybersecurity, secure software development, and socio-technical systems. Research Interests: Artificial Intelligence and Cybersecurity Secure Software Development Semantic Web and Ontology Socio-Technical Systems System Security Assurance Publications and Contributions: Shao-Fang Wen has contributed significantly to developing frameworks for AI security assurance, quantitative security evaluation models (e.g., SAEOn metamodel), and contextualized learning systems for software security. Their work spans journal articles, conference papers, and book chapters, emphasizing ontology-based approaches and open source community dynamics. Teaching: IIKG2001 - Software Security
Knut Håkon Hole is an Associate Professor at the University of Oslo's Department of Radiology and Nuclear Medicine. His research focuses on diagnostic imaging applications in oncology, particularly in prostate and rectal cancers. He specializes in MRI, PET, and radiogenomics techniques to assess tumor biology, treatment response, and recurrence. Expertise: Prostate cancer imaging, neoadjuvant therapy response, tumor hypoxia, and imaging biomarkers Key affiliations: Oslo University Hospital (Rikshospitalet), Radium Hospital Research interests include: Developing MRI and PET protocols for cancer staging and recurrence detection Integrating imaging with genomic data (radiogenomics) Optimizing therapeutic approaches using imaging biomarkers Recent work highlights: Prostate cancer radiogenomics and hypoxia biomarkers (2024) MRI/PET comparisons for tumor localization (2021-2023) Neoadjuvant therapy response assessment in rectal and breast cancers (2020-2023) Publications span over 50 peer-reviewed articles with a focus on translational imaging research. Collaborates extensively with oncology and urology teams.
Roles and Affiliations: Fred Espen Benth is a Professor in the Department of Mathematics at the University of Oslo, affiliated with the Risk and Stochastics research group. He holds a Dr. scient (PhD equivalent) in mathematics from the University of Oslo (1995). His academic journey includes roles as a researcher at the Norwegian Computing Center, a postdoc at the Universities of Aarhus and Oslo, and an Associate Professor at the University of Trondheim before becoming a full professor in 2002. Research Interests: Benth’s research focuses on mathematical finance, particularly energy and weather markets, commodity derivatives, and stochastic analysis. He explores modeling, estimation, and simulation of spot and forward prices, as well as pricing options and portfolio optimization. Recent work extends to climate systems, energy transition dynamics, and machine learning applications in financial and environmental modeling. Publications and Projects: His extensive publication record includes over 150 journal articles and book chapters, with a focus on energy markets, stochastic processes, and climate-related financial instruments. Notable projects include ‘Spatial-Temporal Uncertainty in Energy Systems (SPATUS)’ and contributions to interdisciplinary energy informatics. His work bridges theoretical stochastic analysis with practical applications in energy systems and risk management. Labs and Collaborations: Benth collaborates with the Stochastics of Renewable Energy Markets (STORE) group and contributes to initiatives like the ‘Computational Modelling and Machine Learning for Applications in Hydropower’ project. His research emphasizes the integration of stochastic methods with real-world energy and climate challenges.
Joao Carlos Amaro Ferreira is a Professor at the Faculty of Logistics, Molde University College (HiMolde), Norway. He holds PhDs in Computer Engineering and Industrial Engineering from the Technical University of Lisbon and the University of Minho, respectively. His research focuses on Artificial Intelligence (AI) applications in healthcare, energy, transportation, IoT, blockchain, and smart cities. He has led over 40 projects, including 6 as Principal Investigator, and contributed to international conferences like OAIR and INTSYS. He served as IEEE CIS President (2016-2018) and is an IEEE Senior Member since 2015. His academic contributions span AI-driven solutions for public sector informatics, healthcare data quality, and cybersecurity. He actively participates in European projects such as e-Hospital4Future and explores blockchain applications in supply chains and medical records. Ferreira leads the ABC-AI research group, emphasizing ethical and applied AI. His work bridges academia and industry through projects like gamification systems for eco-driving and AI in fisheries traceability. Recent publications highlight AI's role in cardiovascular disease detection, emergency department optimization, and blockchain-enhanced healthcare interoperability. He collaborates internationally, co-editing journals like Applied Sciences , and has authored patents in edge computing for maritime monitoring.
Torgeir Welo is a Professor at the Department of Mechanical and Industrial Engineering , Norwegian University of Science and Technology (NTNU) . He specializes in metal forming , particularly aluminum alloy structures , with a focus on plastic bending behavior , dimensional stability , and 3D forming technologies . His research also encompasses Lean Product Development , emphasizing knowledge reuse and maximizing customer value in automotive and aerospace applications. Key Research Areas : Metal Forming, Aluminum Processing, Springback Control, Lean Development, Additive Manufacturing, Material Substitution Teaching : Courses on Aluminum Technology , Metal Forming Analysis , and Machine Element Design Publications (15 most recent): Focus on springback monitoring , charge weld evolution , flexible forming , machine learning applications , and circular economy frameworks in metal manufacturing.
Marius Korsnes is an Associate Professor at the Department of Interdisciplinary Cultural Studies, Faculty of Humanities, Norwegian University of Science and Technology (NTNU). He leads the ERC-funded 'MidWay' project on sufficiency in meat and milk consumption in China and co-leads the NFR INTPART project 'Sociomaterial Transformations in Norway and East Asia (SoMaT)'. He is actively involved in the MEATigation, COJUST, and GreenBlack projects, and previously led research in the FME NTRANS center on deep decarbonization. His work bridges energy, sustainability, and socio-cultural transitions with a strong focus on Norway and China. BA in International Studies, University of Oslo (2009) BA in History, University of Oslo (2011) M.Phil. in Culture, Environment and Sustainability, University of Oslo (2012) PhD in Technology, Innovation and Culture, NTNU (2015) His research centers on sustainability transitions , energy use , renewable energy systems , consumer practices , and sufficiency , particularly in the context of China and Norway. He explores how socio-material practices shape energy and food systems, with attention to justice, inclusion, and policy implications. His work integrates Technology, Innovation and Society (TIS) perspectives and public engagement. His recent publications (2022–2025) reflect a strong trend in energy citizenship , meat and dairy consumption , prosumerism , and sufficiency . These articles analyze low-income energy practices, policy injustices, and cultural dynamics in food and energy transitions. The research is interdisciplinary, combining social science, environmental studies, and policy analysis. ERC Starting Grant (MidWay project) Member, Academy for Young Researchers (AYF) NTNU Star Program Korsnes has advised Master’s students and contributes to transdisciplinary research, including using improvisational theatre for collaborative research. He has been involved in major research centers like FME ZEN and FME CenSES, and his work emphasizes public engagement and societal impact. His projects often involve international collaboration, especially between Norway and East Asia.
Jason Nelson is a Professor of Digital Culture in the Department of Linguistic, Literary and Aesthetic Studies at the University of Bergen, Norway. He is a creator of digital poems and fictions, builder of surrealist and politically focused art games and digital creatures. His work is exhibited widely in galleries and journals around the globe at FILE, ACM, LEA, ISEA, SIGGRAPH, ELO and numerous other venues. Nelson serves on organizational boards including the Australia Council Literature Board and the Electronic Literature Organization. Nelson's research focuses on the intersection of digital technology, creative writing, and artistic expression. He explores how AI and machine learning can be harnessed for creative purposes, developing new forms of digital literature and interactive art. His work often involves building expansive visual worlds through collaborative AI processes, creating interactive digital poetry, and developing novel approaches to digital narrative. Nelson's research spans digital humanities, electronic literature, AI-generated art, and interactive media, with particular emphasis on how these technologies transform creative processes and experiences. Over the past decade, Nelson's work has increasingly focused on the creative potential of AI technologies, especially in the areas of text-to-image generation and multimodal authorship. His projects often blend game engines with poetic expression, creating immersive experiences that challenge traditional boundaries between human and machine creativity. Recent works explore themes of multispecies futures, time perception, and the transformation of physical spaces through augmented reality. Nelson has received numerous scientific awards and fellowships including: Fulbright Fellowship at the University of Bergen Moore Fellowship at the National University of Ireland Winner of the Digital Writing Prize, Queensland Literary Awards (15,000 AUD) Winner of the Woollahra Library Digital Poetry Prize (5,000 AUD) Runner-Up Prize at the Videomedeja digital art exhibition Finalist for the Turn-on Literature Prize Finalist for the Queensland Literary Awards, Digital Writing Category Multiple finalist nominations for the New Media Writing Prize Nelson actively participates in academic advising and has secured significant research funding, including a 125,000 AUD grant from the Australia Council of the Arts, Literature Board for his project "Cube Cryptext and Nomencluster," which was recognized as the world's largest interactive art-game. His work "Nine Billion Branches" received multiple awards including the Digital Writing Prize from the Queensland Literary Awards. He has also received a 75,000 NOK grant for the "Flood Mosaic Artwork" project featured in the Floodlines Exhibition at the State Library of Queensland. Nelson is affiliated with the Center for Digital Narrative at the University of Bergen, where he collaborates with researchers like Scott Robert Rettberg and Alinta Krauth. Together they form EphemerLab, exploring new creative processes that move beyond simple "ask and generate" AI methods. Their work involves stitching together hundreds of individual image fragments and components into cohesive visual and narrative concepts, pushing the boundaries of what's possible with current AI technologies.
Ingvill Rasmussen is a Professor at the Department of Education, Faculty of Educational Sciences, University of Oslo (UiO), where she has been employed since 2010. Her academic profile demonstrates expertise in the intersection of digital technology and educational practices, with particular emphasis on classroom dialogue, collaborative learning, and microblogging applications in educational settings. She teaches courses including PED2103 (Development and learning), PED1001 (Learning and teaching), and specialized courses on digital interactions and learning sciences research in the digital age. Dr. Rasmussen's research examines how new technologies transform communication and learning processes. Her work investigates conversations, collaboration, and knowledge production between students and teachers, with special attention to internet and web-based environments. She explores how teachers can effectively guide students in digital learning environments and how students develop necessary self-regulation skills to manage attention across analog and digital activities. Her academic interests explicitly address how ubiquitous technology demands new skills in regulating attention – learning to disconnect, put away devices, and switch between analog and digital activities. Her publication record from 2018-2025 reveals a consistent research trajectory focused on microblogging as a tool for enhancing classroom dialogue. These works examine how digital tools create spaces for student voice, support collaborative meaning-making, and facilitate productive educational interactions across diverse subject areas. Her research shows increasing sophistication in analyzing the nuanced ways technology mediates educational dialogue. Reviewer for prominent international journals including International Journal of Learning, Culture and Social Interaction; International Journal for Educational Research; and British Journal of Educational Technology Library Board, UiO (2014-2022) Employee representative, Department Board (2016-2020) Co-chair and organizer of the Nordic ISCAR conference (2007) Dr. Rasmussen completed her PhD at UiO (2000-2005) on 'Project work and ICT - studying learning as participation trajectories,' followed by postdoctoral work on the TWEAK project (2006-2010). She is currently involved in multiple research projects including AI-supported science conversations, EU Kids Online V (EUKO), and the Samtavla innovation project as a key member of the Living and Learning in the Digital Age (LiDA) research group.
Tae Eun Kim is an Associate Professor in Maritime Safety Management at UiT The Arctic University of Norway, working within the Department of Technology and Security. Her research, teaching, and industrial collaboration focus on maritime safety and human factors, with particular expertise in maritime safety management, accident analysis, Maritime Autonomous Surface Ships (MASS), and human factors in maritime operations. Dr. Kim's research spans four interconnected domains: maritime safety management and leadership, maritime accident and casualty analysis, Maritime Autonomous Surface Ships (MASS), and human factors in maritime operations. She has developed assessment instruments like the Safety Leadership Self-Efficacy Scale (SLSES) and conducted STAMP-based causal analyses of maritime accidents. Her work on MASS addresses safety challenges in mixed navigational environments and examines leadership competencies for autonomous shipping operations. Her human factors research explores how technological advancements impact navigators' performance, crew dynamics, and safety outcomes, including gender parity issues in the maritime industry. Dr. Kim's publication record reveals a strong focus on the intersection of maritime safety, technology, and human performance. Her recent work increasingly addresses autonomous shipping technologies, with numerous publications on AI decision transparency, learning analytics in maritime simulator training, and multi-modal data analysis for nautical skill development. She has conducted systematic reviews on simulator training approaches and scenario design, contributing significantly to methodology development in maritime education and training. Her research demonstrates a clear trajectory toward integrating emerging technologies with traditional maritime safety practices as the industry transitions toward greater automation. Dr. Kim is actively involved in several significant research projects, including the i-MASTER EU Horizon Europe Research and Innovation Project, the REFRAME project, and the SPRICE project (Multidisciplinary approach for spray icing modelling). She is a member of both the Advanced Maritime Ship Operations research group and the Maritime Safety Science (MARSCI) Research Group, demonstrating her commitment to collaborative research in maritime safety science. Dr. Kim teaches several specialized courses at UiT, including SVF-3206 Safety Management and Accident Investigation, TEK-3014 Navigation Technology, MFA-2100 Maritime Digitalization, MFA-8010 Maritime HTO (Human-Technology-Organisation) and Innovation, and MFA-2018 Maritime Administration and Leadership. Her teaching portfolio reflects the interdisciplinary nature of her expertise, bridging engineering, safety science, and organizational behavior in maritime contexts.
Hossein Farahmand is a Professor at the Department of Electric Energy, Norwegian University of Science and Technology (NTNU), and leads the Electricity Markets and Energy Systems Planning (EMESP) research group. He holds an Associate Editor role at IEEE Transactions on Energy Markets, Policy and Regulation and contributes to international initiatives like IEA Wind Task 25 and ISGAN Annex 9. Education : Dr.ing. (PhD) from NTNU (2012) His research focuses on power market analysis, hydropower scheduling, power system balancing, and local flexibility markets in smart grids. Recent work explores renewable energy integration, digitalization, and hydrogen systems. Trends include machine learning applications in hydropower scheduling, offshore wind economics, and grid flexibility solutions. Scientific awards include Senior Member of IEEE and representation in ISGAN Annex 9 and IEA Wind Task 25 . He supervises PhD candidates and co-supervised projects in areas like grid tariffs , local energy communities , and electric vehicle integration . Grants include EU Horizon 2020 and Research Council of Norway funding for projects such as IntHydro , HONOR , and Ocean Grid . Labs and teams include the EMESP research group at NTNU, collaborations with Hohai University , Smart Innovation Norway , and industry partners in China and Norway.
Peter Maassen is a Professor in the Department of Education at the University of Oslo . His work focuses on higher education governance, institutional autonomy, and the intersection of policy and organizational practices. He has contributed extensively to understanding university reforms, quality assurance mechanisms, and the evolving role of universities in global and European contexts. His research interests span Higher Education , University Governance , Institutional Autonomy , and European Higher Education . He investigates how universities adapt to external pressures while maintaining internal coherence, with a particular emphasis on policy-driven changes and their implications for academic freedom and organizational structures. Maassen's recent publications analyze academic freedom in the European Union, knowledge transfer strategies, and the democratic responsibilities of higher education institutions. His work often explores the tension between excellence and diversity in university systems, particularly in China and the Western Balkans . He has received the Faculty of Education's prize for excellence in teaching and serves as Head of the Higher Education Development Association (HEDDA) . His collaborations with researchers like Bjørn Stensaker and Mari Elken have produced significant insights into university alliances and quality management practices. Maassen is affiliated with the research group Knowledge, Learning and Governance (HEDWORK) , which examines higher education's role in societal and organizational contexts. His career includes visiting positions at institutions like the Centre of Advanced Studies in Oslo and Stellenbosch University in South Africa.
