Irina Gribkovskaia is a Professor at the Faculty of Logistics, Molde University College (Norway). Her research focuses on offshore energy logistics, vehicle routing and scheduling, mathematical optimization for logistics planning, and decision support systems under uncertainty. She leads the Energy Logistics Research Group (EneLog) and has collaborated on projects such as the Norwegian-Russian Arctic Logistics initiative. Her work addresses challenges in offshore oil/gas and renewable energy sectors, including supply vessel planning, helicopter transportation safety, and emissions reduction. Notable contributions include robust scheduling methods, fleet sizing strategies, and simulation-based optimization tools. Key projects include analyzing transit shipping via the Northeast Passage and tactical helicopter planning for offshore personnel. She has authored over 50 peer-reviewed articles in journals like Transportation Research and Omega , focusing on logistics optimization under uncertainty. Irina is a core member of multidisciplinary programs, including a Norwegian-Belarusian MSc in Logistics Analytics. Her research integrates operations research with real-world maritime and energy logistics systems.
Fredrik Manne is a Professor at the Department of Informatics, University of Bergen, Norway. His work focuses on parallel and distributed computing, particularly in combinatorial scientific computing and self-stabilizing algorithms. He has contributed extensively to graph algorithms, including matching, coloring, and clustering, with applications in high-performance computing, numerical optimization, and wireless networks. His research involves designing algorithms for parallel architectures, including multi-core and GPU-based systems. He has co-authored numerous publications on topics such as spanning forests, vertex cover heuristics, and b-matching. His work often integrates theoretical and applied approaches, addressing challenges in sparse matrix computations and wireless mesh network communication. The recent articles highlight his exploration of graph neural networks for parallel coloring, efficient multithreaded matching algorithms, and GPU-accelerated clustering methods. These studies emphasize scalability, optimization, and real-world applications in computational science.
Heidi Janne Dombestein serves as a Postdoctoral Fellow in the Department of Quality and Health Technology at the University of Stavanger's Faculty of Health Sciences, where she conducts critical research through the SHARE - Center for Resilience in Healthcare. Her work bridges theoretical resilience frameworks with practical healthcare implementation, focusing on systemic safety and caregiver dynamics. Her research expertise centers on resilience engineering in healthcare systems , with specialized investigations into risk perception within homecare settings and motivational sustainability for dementia caregivers. Through mixed-methods approaches, she examines how healthcare professionals and families navigate complex care environments, developing tools for translating resilience theory into actionable practice. Recent work emphasizes stakeholder mapping and patient-family involvement as core components of adaptive healthcare systems. Analysis of her publication trajectory (2015-2025) reveals a strategic evolution from foundational studies on caregiver motivation toward sophisticated systemic resilience frameworks. Current projects demonstrate increasing sophistication in operationalizing resilience through learning tools, policy translation, and multi-organizational stakeholder engagement, reflecting growing influence in healthcare quality improvement. Dombestein actively contributes to the SHARE Center's mission through annual reports, workshop facilitation (including Resilience in Healthcare Society meetings), and knowledge dissemination initiatives. Her collaborative approach spans Norwegian homecare services, international conferences, and national caregiver strategy development, positioning her at the forefront of resilience implementation research.
Andreas Kvam Sletnes serves as an Assistant Professor and PhD candidate at Nord University's Faculty of Nursing and Health Sciences, bringing extensive clinical experience from emergency departments and intensive care units to his academic role. A master's-prepared nurse specializing in critical care, he previously held an Assistant Professor position at the Norwegian University of Science and Technology (NTNU) and has completed formal university pedagogy training to enhance his teaching methodologies. His educational credentials include: Master's degree in Clinical Nursing University Pedagogy Training certification Sletnes' research centers on simulation-based learning for mass casualty incident preparedness, with his doctoral work specifically investigating effective educational approaches for nursing students in high-stakes emergency scenarios. He emphasizes realistic, large-scale exercises that build critical competencies through interprofessional collaboration between healthcare, emergency services, and academic institutions. Analysis of his 14 publications (2019-2025) reveals a consistent focus on practical implementation of mass casualty training, highlighting student experiences, community engagement strategies, and interdisciplinary coordination frameworks. His work demonstrates how simulation exercises translate academic theory into life-saving clinical competencies while addressing national regulatory requirements for nursing education. Sletnes actively shapes nursing education through multiple leadership roles: Teaching and supervision in core courses SYK2000, SYK2001, SYK2003, HEL2001, PRA2029, and PRA2030 Development of facilitator training programs for academic staff at Nord University and external institutions Organization of professional development days for physicians at Nord-Trøndelag Hospital Trust Direction of the annual mass casualty exercise involving 400+ participants from 10+ emergency response organizations He coordinates a major interprofessional network for the mass casualty exercise, partnering with Trøndelag Police, Nord-Trøndelag Hospital Trust, fire/rescue services, municipal authorities, and military units including the Royal Norwegian Air Force. This collaborative framework provides nursing students with hands-on crisis management experience while strengthening regional emergency response capabilities through standardized protocols and cross-agency communication.
Alexander Wold is an Associate Professor at the University of Oslo, affiliated with the Research Group for Robotics and Intelligent Systems within the Faculty of Mathematics and Natural Sciences. His work focuses on reconfigurable computing, embedded systems, and robotics, with notable contributions to FPGA design, real-time systems, and educational technology. He holds a position at the Institute of Informatics (IFI) and can be contacted at alexawo@ifi.uio.no . Research interests include optimizing hardware-software co-design, thermal management in 3D-IC systems, and developing open-source tools like EasyPR for pattern recognition. His publications span topics such as remote cloud labs for reconfigurable logic education, network traffic management in industrial Ethernet, and constraint programming for module placement in FPGAs. Dr. Wold’s articles reflect a strong emphasis on practical applications of robotics and intelligent systems, with a focus on safety-critical industrial systems and autonomic computing. He has contributed to multi-core system design, thermal-aware FPGA architectures, and self-aware systems.
Luc Rouppe van der Voort is a Professor and Head of the Department of Theoretical Astrophysics at the University of Oslo since 2025. He serves as Principal Investigator for the Rosseland Centre for Solar Physics (RoCS) under the Norwegian Centre of Excellence (SFF) program until 2027. His academic career at the department spans from Postdoctoral Fellow (2003-2007) to Researcher (2007-2008), Associate Professor (2009-2013), and Professor (2013-2025). He earned his PhD in Astrophysics from Stockholm University (2003) after a PhD fellowship at the Institute for Solar Physics of the Royal Academy of Sciences, and holds an MSc in Astrophysics from Utrecht University (1997). His research focuses on Solar Physics , particularly high-resolution observations of the solar chromosphere, photosphere, and transition region. Key areas include magnetic reconnection (e.g., Ellerman bombs, UV bursts), spicules/downflows , sunspot dynamics , and coronal heating mechanisms . He utilizes data from ground-based telescopes like the Swedish Solar Telescope (SST) on La Palma and space missions such as Hinode , IRIS , Solar Orbiter , and Solar Dynamics Observatory . Recent publications (2023-2025) highlight his work on neural field applications to spectropolarimetric inversions, spectral resolution effects in solar diagnostics, and magnetic topology of quiet-Sun Ellerman bombs. Collaborative studies with teams across Europe and Japan emphasize multi-wavelength analysis and 3D simulations to unravel energy transport and atmospheric coupling. As Deputy Head (2016-2024) and council member of the Nordic Optical Telescope (2015-present), he contributes to leadership and observational infrastructure in solar physics. His work bridges observational datasets with computational models, advancing understanding of solar atmospheric dynamics and heating processes.
Anita Johanna Tørmoen serves as an Associate Professor at the University of Oslo within the Division of Mental Health and Addiction. Her primary focus lies in adolescent mental health, specifically investigating self-harm, suicidal behavior, and emotion regulation. Tørmoen actively conducts clinical research through randomized controlled trials and longitudinal studies, contributing to evidence-based practices for adolescents with borderline features and self-harming tendencies. Her research spans suicidology, adolescent self-harm epidemiology, emotion dysregulation mechanisms, and therapeutic interventions. Key areas include dialectical behavior therapy efficacy, social media impacts on self-harm, and long-term trajectories of self-injurious behaviors. Tørmoen's work integrates clinical psychology with public health perspectives to address critical gaps in youth mental healthcare. Analysis of her 15 most recent publications reveals consistent emphasis on longitudinal outcomes of adolescent self-harm, with growing attention to digital influences and real-world implementation of evidence-based treatments. Her research demonstrates methodological diversity across epidemiology, clinical trials, and health economics, highlighting the intersection of emotion regulation deficits and self-harm persistence into adulthood. As a core member of the Clinical Research on Suicidal and Self-Harming Behaviour group, Tørmoen collaborates extensively with national and international partners including Lars Mehlum and Ingeborg Rossow. This team focuses on developing and evaluating interventions to reduce youth self-harm through rigorous clinical studies and policy-relevant findings.
Elisabeth Gording Stang is a Professor at Oslo Metropolitan University, affiliated with the Faculty of Social Sciences and the Department of Social Work, Child Welfare and Social Policy. Her research and teaching focus on child law, child welfare law, immigration law, and human rights, particularly the UN Convention on the Rights of the Child and family law. She is a core member of the research group 'Service Organization and Innovation in Social Work and Child Protection' and contributes to the CARE Children, Families, Law and Social Work (CLAWSO) initiative. Her research interests lie at the intersection of law, social work, and human rights, with a strong emphasis on children's legal rights, professional discretion in child custody disputes, and the implementation of child protection policies. She explores how legal frameworks govern inter-agency cooperation, confidentiality, and mandatory interventions in child welfare, as well as the access to justice for vulnerable groups like women and immigrant children. The trends in her recent publications reveal a deep engagement with the Norwegian Child Welfare Act, producing authoritative legal commentaries and contributing to academic discourse on children's and women's rights. Her work spans legal analysis, policy evaluation, and comparative Nordic perspectives, demonstrating a consistent focus on improving the legal and social systems that protect children. Elisabeth Gording Stang has made significant contributions to public policy through her research reports and official hearing statements on proposed legal reforms concerning child custody, immigration, and crisis centers. Her work informs legislative processes and professional practices in child welfare services. She is actively involved in academic and professional dissemination, presenting at conferences and contributing to educational programs for legal and social work professionals. Her leadership in research projects like 'Visible Children' highlights her role in advancing knowledge on judicial and expert decision-making in family law.
Xing Cai is a Professor at the Department of Informatics, University of Oslo, specializing in Scientific Computing and Machine Learning. His academic career spans several decades with a consistent focus on high-performance computing and its applications to complex scientific problems. He maintains an active research profile with numerous publications in top-tier journals and conferences. Professor Cai's research interests encompass parallel programming and high-performance computing, performance modeling and optimization, automated code generation, heterogeneous computing, and numerical methods for solving partial differential equations. His work extends to specialized applications in computational cardiology, computational geoscience, and biomedical computing. His research bridges theoretical computer science with practical applications in medicine and earth sciences, demonstrating exceptional interdisciplinary reach. An analysis of his recent publications (2019-2024) reveals a strong trend toward leveraging novel hardware architectures (GPUs, AI processors, specialized accelerators) for scientific computing, with particular emphasis on cardiac modeling applications. His work shows increasing sophistication in hardware-aware algorithm design, with publications spanning from fundamental performance modeling to domain-specific applications. The interdisciplinary nature of his work is evident in the diverse range of journals and conferences where he publishes, from computer science venues to specialized medical and geoscience publications. Professor Cai leads or participates in several significant research projects including the EuroHPC Centre of Excellence: Numerical Modeling of Cardiac Electrophysiology at the Cellular Scale (MICROCARD-2), High resolution simulation of cardiac electrophysiology on realistic whole-heart geometries, Maelstrom Associate Team, ODISSEE, Simula-Berkeley Education and Research collaboration (SIMBER), and aCG eX3: Experimental Infrastructure for Exploration of Exascale Computing. These projects reflect his leadership in both computational methodology development and domain-specific applications. His research group maintains strong collaborations with medical researchers, particularly in cardiac electrophysiology, and with geoscientists working on reservoir simulation. The publications list demonstrates consistent mentorship of junior researchers, with frequent co-authorship patterns suggesting an active supervision of PhD and postdoctoral researchers. His work on the EMI model for cardiac tissue represents a significant contribution to computational cardiology with potential clinical applications. The laboratory environment surrounding Professor Cai's work appears to be well-equipped for high-performance computing research, with access to advanced hardware platforms including GPU clusters, AI processors, and specialized accelerators. His publications on the use of Graphcore IPUs, Xeon Phi processors, and NVIDIA architectures indicate a well-resourced research environment capable of experimenting with cutting-edge hardware.
Mariusz Nowostawski is a Professor at the Norwegian University of Science and Technology (NTNU), leading the Bachelor in Programming study program and directing the Decentralised Systems Engineering Lab. His research focuses on self-organising systems, adaptive/autonomous computation, peer-to-peer systems, and decentralisation technology, including blockchain systems like Bitcoin, Ethereum, and Lightning Network. Expertise in blockchain governance and cross-chain decentralised autonomous organisations (DAOs) Specialises in self-sovereign identity systems and privacy-preserving infrastructure Collaborates with Europol on cryptocurrency anonymity and privacy research Industry experience with Sun Microsystems and Oracle His recent publications address blockchain consensus evolution, decentralised identity management, and privacy-preserving techniques. Key themes include decentralization, peer-to-peer networks, and applications in healthcare and pandemic management. Research trends highlight a focus on cross-chain interoperability, self-sovereign identity challenges, and blockchain-based solutions for healthcare and cybersecurity. He explores technical aspects like Lightning Network optimization and governance dynamics in Bitcoin and DAOs. As an educator, he teaches programming, peer-to-peer systems, distributed/decentralisation technologies, and blockchain. Personal interests include rock climbing, paragliding, and long-distance running.
Professor Lasse Natvig is a faculty member at the Norwegian University of Science and Technology (NTNU) in the Faculty of Information Technology and Electrical Engineering , specifically the Department of Computer Science . His research focuses on computer architecture , parallel processing , multi-core programming , and energy-efficient computing . His work includes studying vectorization techniques , cache management , power emulation models , and task scheduling policies to improve performance and energy efficiency in modern processors. He has published extensively in journals like Expert Systems With Applications , The Journal of Supercomputing , and Lecture Notes in Computer Science , with recent 2024 work on micromobility simulation tools. Lasse Natvig's research spans computer architecture , green computing , parallel algorithms , and energy measurement through publications addressing vectorization , cache optimization , and heterogeneous processing . His articles reveal a consistent focus on performance-energy tradeoffs , hardware-software co-design , and simulation tools for computational challenges. Email: lasse.natvig@ntnu.no
Lars Erik Holter (born May 15, 1965) serves as Professor at the Theatre Academy within Oslo National Academy of the Arts, where he has been instrumental since 2001 in shaping the Acting Department's curriculum through major revisions in 2003 and 2012. His dual career spans institutional and independent theatre work as both actor and director since 1995, establishing him as a key figure in Norwegian performing arts education. His academic foundation includes training at the Norwegian National Academy of Dramatic Arts and Oslo National Academy of the Arts, providing the technical and theoretical bedrock for his specialization in advanced acting methodologies. Holter's research centers on Georgij Tostanogov's school—a direct continuation of Stanislavski's principles—focusing on director-actor collaboration and the transformation of written text into dynamic stage speech. His investigations extend to physiological distinctions between theatre and opera performers, the nature of acting talent, and innovative approaches to devised theatre, creating a comprehensive framework for contemporary actor training. Analysis of his 2014-2023 publications reveals persistent exploration of vocal technique and text interpretation, with growing emphasis on biological factors in performance and the cognitive processes behind theatrical speech. The consistent thread across his work is the practical application of Russian actor training methodologies within modern Scandinavian theatre contexts. No formal scientific awards are documented in available sources, though his scholarly impact manifests through curriculum development and industry publications. Advising & Grants: Holter mentors acting students within the Theatre Academy's program, with collaborative research evident in multi-author publications like The Actor's Work with Text (2017). His projects frequently involve cross-disciplinary teams including Øystein Stene, Tore Vagn Lid, and Kathrine Tolo, though specific grant funding isn't detailed in public records. Holter operates within the Theatre Academy's acting pedagogy framework, applying Tostanogov's principles through practical workshops and research groups focused on text analysis and vocal production, with his methodologies forming the core of the department's training philosophy.
Anne-Sofie Sand serves as Associate Professor in the Bachelor's Program in Nursing at Tromsø Campus within UiT The Arctic University of Norway's Faculty of Health. She actively contributes to academic governance as member of the Faculty Board and the Norwegian Nurses' Association research and education group board, while leading the Research Group for Public Health and Rehabilitation. Her educational qualifications include: Ph.D. from UiT (2017) Master in Health Sciences from UiT (2011) Nursing Education from Tromsø (1984) Pedagogical Basic Competence (2019) Development Program for Ph.D. Supervisors (2025) Dr. Sand's research centers on public health challenges in youth and young adults, particularly obesity dynamics, body image perceptions, and lifestyle interventions. Her Tromsø Study: Fit Futures work reveals complex relationships between measured/perceived body size and health concerns, while her clinical studies develop feasible obesity management protocols for older adults. She pioneers Arctic nursing education through the Samprax project, addressing geographical barriers via digital supervision models that maintain educational quality in remote communities. Her mixed-methods approach integrates quantitative population data with qualitative insights on health motivations. Recent publications demonstrate evolving expertise from adolescent weight management (2015-2018) toward geriatric lifestyle interventions (2019-2021) and contemporary Arctic nursing education innovation (2021-2025). This trajectory reflects increasing focus on implementation science while maintaining core public health themes, with significant contributions to both clinical practice guidelines and nursing pedagogy in resource-limited settings. Dr. Sand supervises master's and Ph.D. students in nursing, clinical nutrition, and medicine, particularly supporting thesis work on public health interventions and nursing education. Her project leadership includes the RESTART feasibility study for cardiovascular risk reduction and the multi-institutional Arctic Samprax initiative focused on clinical training capacity building. As co-leader of the Arctic Samprax project, she develops and tests novel supervision frameworks for nursing students in community health services across northern Norway, emphasizing digital solutions to overcome geographical isolation while maintaining educational rigor and student support.
Ingrid Chieh Yu is an Associate Professor in the Department of Informatics at the University of Oslo, where she also serves as Head of Research and Vice Head of Department (2021-2024) and Deputy Centre Director of SIRIUS. Her academic home is within the Data and Knowledge Management (DKM) research group, with additional affiliations to the Concurrent Security and Robustness for Networked Systems (ConSeRNS) initiative. Professor Yu's research spans multiple domains in computer science, with early work focused on formal methods, software product lines, and concurrent systems. In recent years, her research has expanded significantly into explainable AI, counterfactual explanations, and machine learning interpretability. She has made substantial contributions to feature model evolution, software configuration, and model checking techniques. Her work demonstrates a consistent thread of applying formal methods to practical software engineering challenges, with a notable pivot toward AI explainability in the past five years. Her publication record shows a clear evolution from foundational work in software engineering and formal methods (2006-2015) to increasingly AI-focused research (2016-present). The most recent publications (2020-2025) predominantly address explainable AI, counterfactual explanations, and robust recourse methods, reflecting her adaptation to emerging challenges in machine learning. She maintains strong collaborative relationships with researchers including Einar Broch Johnsen, Crystal Chang Din, and Peyman Rasouli. Professor Yu teaches core computer science courses including INF2220 Algorithms and Data Structures, INF3230 Formal Modeling and Analysis of Communicating Systems, and INF5130 Selected Topics in Rewriting Logic. Her teaching reflects her research expertise, bridging theoretical foundations with practical applications. She leads significant research projects including HyVar: Scalable Hybrid Variability for Distributed Evolving Software Systems and Leveraging Energy-Aware Programming (LEAP), demonstrating her capacity to secure and manage substantial research initiatives. Her work with the SIRIUS center indicates strong industry connections and applied research focus.
Ola Westengen serves as a Professor at the School of International Environmental and Development Studies (Noragric) within the Norwegian University of Life Sciences (NMBU) . His research critically examines the intersection of agricultural development, biodiversity conservation, and food security, with particular emphasis on seed systems resilience in contexts of climate vulnerability and poverty across Africa. His core research domains include: Agrobiodiversity dynamics and crop evolution under climate stress Community-based seed systems and seed bank functionality Policy frameworks for food security and genetic resource governance Cultural dimensions of crop diversity management Empirical analysis of smallholder adaptation strategies Analysis of his 2023-2025 publications reveals a methodological focus on longitudinal panel data from Uganda, Malawi, and Ethiopia, examining how rainfall shocks and market imperfections shape seed access. A distinctive thread connects sorghum diversity studies in Northern Ethiopia with broader investigations into community seed banks' role in climate adaptation, highlighting the interplay between biophysical constraints and socio-cultural practices. His recent conceptual work interrogates knowledge politics in SDG indicator selection, demonstrating how measurement frameworks shape global hunger narratives. While specific advising activities and laboratory infrastructure aren't documented in available materials, his extensive field engagement across East and Southern Africa suggests robust collaborative networks with agricultural research institutions and farmer organizations throughout the continent.
