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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.

• Artificial Intelligence
• AI in Health and Medicine
• AI in Energy and Transportation
• +6 more

Torgeir Dingsøyr is an Adjunct Chief Research Scientist and Research Professor in the Department of IT Management at Simula Metropolitan, a leading Norwegian research institute specializing in software engineering and digital technologies. His role encompasses both strategic research leadership and active empirical investigation into large-scale agile software development and software process improvement. Research Interests Large-scale agile software development methods and governance. Coordination and communication challenges in very large development programmes. Software process improvement (SPI) with emphasis on practical, evidence-based approaches. Teamwork effectiveness and autonomous teams in continuous deployment environments. Digital transformation project organization, particularly within Scandinavian contexts. Across more than two decades, Dingsøyr has produced influential handbooks and empirical studies that bridge the gap between SPI theory and industrial practice. His work increasingly addresses second-generation agile methods, emphasizing safety nets for high-risk development and autonomy at scale. Scientific Awards No specific awards listed in the provided text. Advising & Grants Dingsøyr collaborates extensively with industry and academic partners to secure funding for longitudinal case studies and improvement initiatives. While individual student names are not provided, his publications demonstrate active supervision and mentoring within multi-partner projects. Laboratory & Teams He operates within Simula Metropolitan’s research environment, contributing to interdisciplinary teams that unite software engineering researchers, data scientists, and industrial practitioners to advance empirical software engineering and agile transformation.

• Large-scale Agile Software Development
• Software Process Improvement
• Empirical Software Engineering
• +2 more

Sebastien Nicolas Gros is a Professor at the Department of Engineering Cybernetics, Norwegian University of Science and Technology (NTNU). His research focuses on safe reinforcement learning (RL) and data-driven model predictive control (MPC), with applications in energy systems, biomedical engineering, and autonomous vehicles. Institution: Norwegian University of Science and Technology Department: Engineering Cybernetics His work emphasizes AI-driven optimization for domestic energy storage, battery integration, and smart building management. Collaborations include Equinor, DNV, Kongsberg, Volvo, and CorPower Ocean. Key themes in his publications include: Control theory for renewable energy systems (wave energy converters, buildings) Biomedical applications (artificial pancreas, glucose monitoring) Transportation systems (electric vehicles, autonomous ships) Machine learning integration with physical models He supervises 6 PhD students and co-supervises projects on multi-rotor wind turbines and industrial PhD collaborations. The articles demonstrate a convergence of RL, MPC, and uncertainty quantification across energy, biomedical, and transportation domains.

• Safe Reinforcement Learning
• Data-Driven Model Predictive Control
• Artificial Intelligence
• +7 more

Haakon Sundbø is a Senior Lecturer at the Department of Information and Communication Technology, University of Agder. He teaches courses such as Computer Science (DAT100), Multimedia Design (DAT104), Web Publishing (DAT110), Visual Design (DAT222), Sound Engineering (DAT228), ICT and E-learning in Vocational Subjects (PED978), and Didactic Use of Digital Tools (MM903). His academic responsibilities also include guest lecturing and supervision in ICT Project (DAT215), Photography (DAT227), Video (DAT229), Bachelor's Project (DAT303), Web and Online Knowledge (MM901), Remote Operated Vehicles (MM202), Interaction Design (MM403), and Technology for Teachers (TEKPED60). Materials, Energy and Nanotechnology (BSc, University of Oslo) Multimedia Technology and Design (BSc, University of Agder) Multimedia and Educational Technology (MSc, University of Agder) Haakon's research focuses on lifelong learning, e-learning platforms, interaction design, user experience, artificial intelligence in education, augmented reality, virtual reality, and digital competence development. He has contributed to projects like Decentralized Competence Development (DEKOMP), UiA Consense, and drone technology research at University of Agder. His recent publications analyze AI integration in teaching, digital frameworks for schools, screen usage guidelines, and collaborative learning networks. He also leads a research group on Multimedia and E-learning, emphasizing flexible digital resources and practical technology adoption in educational contexts.

• Multimedia Technology
• E-Learning
• Photography
• +16 more

Geir Olav Dyrkolbotn is an Associate Professor at NTNU's Center for Cyber and Information Security (CCIS) and a Major in the Norwegian Armed Forces, serving at the Norwegian Defence Cyber Academy (NDCA). He leads the NTNU Malware Lab and the cyber defence research group at CCIS. He holds a PhD in Information Security from Gjøvik University College and a MSc in Computer Science from NTNU. With over 25 years in the military, his work focuses on tactical communication systems, defensive cyber operations, and operational security. His research emphasizes cyber defence, reverse engineering, malware analysis, side-channel attacks, and machine learning applications. Education: PhD in Information Security, Gjøvik University College (HiG) MSc in Computer Science, NTNU Research Interests: Geir Olav's work bridges theoretical cybersecurity research and practical military applications. He explores innovative methods for hardware reverse engineering, malware detection/classification using low-level features, and forensic acquisition techniques. His contributions include analyzing USB power delivery vulnerabilities, NTFS cluster allocation behavior, and secure chip exploitation for digital forensics. Teaching: Courses include IIKG6500/IMT4213 Cyber-taktikk, IMT4214 Cyber-etterretning, IIKG6501 Cyber Intelligence, and IMT4116 Malware Analysis & Reversing. Labs & Teams: Heads the NTNU Malware Lab and leads the cyber defence research group at CCIS, collaborating on projects like the Digital Forensic Acquisition Kill Chain and hardware security vulnerability assessments.

• Cyber Defence
• Reverse Engineering
• Malware Analysis
• +5 more

Tor Iversen is a Professor of Health Economics at the University of Oslo, affiliated with the Department of Health Management and Health Economics within the Institute of Health and Society. He holds a Ph.D. in Economics (1993) and a cand. oecon. (1978) from the University of Oslo. His research focuses on market conditions in healthcare, economic incentives for healthcare providers, and policy evaluations such as free choice reforms and primary care team models. Education: Doctorate in Economics (1993), University of Oslo; cand. oecon. (1978), University of Oslo. Research Interests: Non-price rationing mechanisms in healthcare, economic incentives in long-term care, digital surveillance for chronic disease management, and cross-country comparisons of treatment outcomes and costs. Current projects include evaluations of Norway’s primary healthcare teams pilot program, telemedicine interventions for chronic conditions, and cost-effectiveness analyses of healthcare policies. Professional Activities: Iversen has held editorial roles at the International Journal of Health Care Finance and Economics and the Nordic Journal of Health Economics . He collaborates with institutions globally, including Karolinska Institutet, Harvard University, and the University of Melbourne. His research emphasizes healthcare access, provider behavior, and policy impacts. Grants/Advising: Led evaluations of healthcare reforms and pilot programs, including the Norwegian Primary Healthcare Teams project. His work often involves interdisciplinary teams and practical policy applications. Labs/Teams: Part of the Health Economics Research Programme (HERO) and contributed to initiatives like NORCHER (Norwegian Centre for Health Services Research) and the OMIT cohort study on diabetes outcomes.

• Health Economics
• Health Policy
• Healthcare Management
• +5 more

Kolbjørn Kallesten Brønnick is a Professor and Dean at the Faculty of Social Sciences, University of Stavanger. His research spans neuroscience, healthcare technology, and digitalization impacts in academia. He has contributed to studies on EEG-based disease classification, digital stressors in academic environments, and telemedicine efficacy. His work emphasizes cross-disciplinary approaches, integrating clinical neuroscience with public health challenges. Key research interests include neurodegenerative disorders, olfactory dysfunction assessment, and healthcare practitioner resilience. His recent publications explore EEG biomarkers for Parkinson’s disease, validation of digital consultation tools, and pandemic-related communication strategies. Brønnick collaborates internationally on projects addressing neuropsychiatric symptoms in dementia and multisite EEG data harmonization. His work is published in high-impact journals like Clinical Neurophysiology and Frontiers in Psychology. Notable contributions include developing the Digital Stressors Scale and the PARPHAIT olfactory assessment tool. Brønnick’s academic leadership role underscores his commitment to advancing social science and health research methodologies.

• Neuroscience
• Public Health
• Medical Informatics
• +3 more

Lisa Hansson is a Professor of Community Planning at Molde University College, specializing in urban governance and transport policy. She is affiliated with the Logistics Department and actively contributes to sustainable mobility, socio-technical change, and multi-level governance research. PhD in Science and Technology Studies (2011), Linköping University MSc in Political Science/Public Administration (2005), Gothenburg University BA in Human Geography/Urban Planning (2003), Karlstad and Gothenburg Universities Her research focuses on sustainable transport systems, visual representation in planning, and policy adaptation. She leads externally funded projects like LEAD (Digital Twins for logistics) and SNAPSHOT (e-commerce transport), with partners including SINTEF and K2 Sweden. Her work bridges political science and transport governance, challenging economic-technical discourses. Recent articles analyze equity in 15-minute city planning, social justice in transport protests, and regulatory governance for autonomous vehicles. She chairs the WCTRS SIG G1 Transport Governance group and serves on the Thredbo Conference Committee. 2023: Co-authored Public Participation in Transport in Times of Change (Emerald) 2021: Chapter on Transport Policy and Governance (Elsevier) 2020: Editorial in Transportation Research Part A Lisa teaches MA/BA courses like Smart Mobility, European Transport Policy, and Future Cities. She supports Master’s and PhD research in sustainable urban development and transport policy.

• Transport Policy and Governance
• Urban Sustainable Transport/Mobility
• Socio-technical Change
• +3 more

Astrid Gramstad is an Associate Professor at the Department of Health and Care Sciences, UiT The Arctic University of Norway, where she also serves as Vice Dean of Education. Her research focuses on occupational therapy in primary health care , rehabilitation practices , and learning environments in higher education . She supervises PhD students Morten Nikolaisen (main), Anniken Bogstrand, and Lina Forslund (co-supervision). University: UiT The Arctic University of Norway Department: Department of Health and Care Sciences Email: astrid.gramstad@uit.no Her recent publications examine topics such as study approaches in occupational therapy education , person-centered rehabilitation , and barriers in post-stroke care . She is affiliated with the Centre for Care Research North and leads the RehabLos project, focusing on co-innovation in rehabilitation service design. Key research areas include: Occupational therapy in primary health care Learning environment dynamics in health professions Rehabilitation models for acquired brain injury

• Occupational Therapy
• Rehabilitation Services
• Learning Environment in Higher Education
• +3 more

Jan Frich is a Professor at the Department of Health Management and Health Economics, University of Oslo, with concurrent appointments as Professor II (2019-present) and previous Professor I (2011-2018) positions. He served as Visiting Professor at Yale University (2013-2014) and currently serves as Editor of Michael (since 2023) and Associate Editor of BMJ Leader (since 2018). His academic interests span healthcare management, medical leadership, neurology, and global health. Specialist in Neurology (2008), University of Oslo dr.med. and Cand.med. (2008 and 1996), University of Oslo Master in Health Administration (2008) and Master of Science (2001) from Brunel University London Executive education at Harvard University (2019), SEI/INSEAD (2019), NHH Executive Board Program (2022), and NHH Board Program (2024) His research focuses on healthcare leadership development, prioritization criteria in clinical settings, and neurological disorders like Huntington's disease and myotonic dystrophy type 1. Recent publications examine rehabilitation technologies, healthcare cost forecasting, and leadership competency models. He contributes to healthcare policy discussions through editorships and has led projects on primary healthcare team evaluations, sepsis management improvements, and leadership development during the COVID-19 pandemic. His work appears in leading journals like BMC Medicine, BMJ Leader, and Journal of Neuromuscular Diseases, with a strong emphasis on interdisciplinary applications.

• Healthcare Management
• Medical Leadership
• Neurology
• +3 more

Trond Bølviken is a Professor at the Department of Engineering Sciences, University of Agder. His research focuses on Lean Construction methodologies, project management, and construction waste reduction. He has contributed to advancing understanding of collaborative project teams, waste economics, and production planning. His work emphasizes practical applications of theoretical principles in construction, aiming to bridge gaps between academic research and industry practices. Key areas include uncertainty management, production control systems, and the integration of Lean principles with traditional construction workflows. Bølviken has published extensively in peer-reviewed journals and conference proceedings, particularly within the International Group for Lean Construction (IGLC). He collaborates with international researchers and industry practitioners to address challenges in project delivery and workflow optimization.

• Lean Construction
• Project Management
• Construction Waste Reduction
• +4 more

Natasa Skalko-Basnet is a Professor and Head of the Drug Transport and Delivery Research Group at the Department of Pharmacy, UiT The Arctic University of Norway. She specializes in advanced drug delivery systems, lipid-based formulations, and nanomedicine for localized therapies targeting infections and biofilms. Her work spans vaginal drug delivery, antimicrobial resistance solutions, and controlled release systems. Education: B. Pharm (1986), Faculty of Pharmacy and Biochemistry, University of Zagreb M.Sc. (1990), University of Zagreb PhD (1995), University of London University Habilitation (1999), University of Zagreb Research Interests: Development of liposomal hydrogels and nanocarriers for targeted antimicrobial therapy Biofilm disruption mechanisms and drug delivery strategies Optimization of vaginal and topical formulations for chronic infections Pharmaceutical characterization of nanomedicines using advanced imaging techniques Teaching: FAR 3041 Advanced Pharmaceutics and Biopharmaceutics FAR 3043 Advanced Drug Delivery Systems in Nanomedicine (Master’s) FAR 8043 Nanotechnology and Nanomedicine (PhD) Labs/Groups: Member of the Drug Transport and Delivery (DTD) Research Group and the Cell-Free In Vitro Permeability Models project.

• Advanced drug delivery systems
• Lipid-based delivery systems
• Hydrogels
• +6 more

Marte Cecilie Wilhelmsen Solheim is Professor of Innovation and Vice-Rector for Innovation and Society at the University of Stavanger (UiS), Norway. She is affiliated with the UiS Business School’s Department of Innovation, Management and Marketing and serves on the steering committee of UiS Smart Cities and the national Research Network for Smart Sustainable Cities. Education: PhD in Innovation Studies, University of Stavanger, defended January 2017 with the thesis Innovation, Space, and Diversity . Opponents: Prof Ron Boschma & Assoc Prof Abigail Cooke. Supervisors: Prof Rune Dahl Fitjar & Prof Ragnar Tveterås. Research Interests: Solheim’s research sits at the intersection of innovation studies, economic geography and organisational theory . She investigates how workforce diversity —spanning migration background, gender, education and work experience— drives innovation, export performance and regional development . Specific themes include: Foreign-born workers as catalysts for innovation and international market access. Combinatorial innovation arising from diverse knowledge pools. Gendered and geographical variations in diversity–innovation links. Smart cities, responsible innovation and digital transformation in times of crisis. Publication Trends: Across more than 40 peer-reviewed works since 2016, Solheim has advanced large-scale quantitative analyses of Norwegian employer–employee data, qualitative case studies of energy-sector transformation and conceptual pieces on migration and innovation policy. Recent strands explore post-COVID digitalisation, eco-innovation geography, immigrant entrepreneurship and gender bias in venture-capital decisions , consistently emphasising inclusive innovation. Scientific Awards & Recognition: 2021 Competence Sharing Prize – Stavanger-region Chamber of Commerce, for outstanding dissemination of research to business and society. Member, Academy of Young Researchers in Norway . Regional Studies Association (RSA) Ambassador to Norway . Advising & Funding: Solheim presently supervises two PhD candidates— Xiangyu Quan (Smart Cities, Innovation & Policy) and Alina Meloyan (Universities & Regional Development). She has led or partnered in numerous national and international research and consultancy projects, frequently serving as expert advisor to Norwegian ministries, the Confederation of Norwegian Enterprise (NHO) and regional development agencies. Labs & Teams: She is an active member of the Research Network for Smart Sustainable Cities and sits on the steering committee for Smart Cities initiatives at UiS , fostering cross-disciplinary collaboration between business, engineering and social-science scholars.

• Innovation Studies
• Workforce Diversity and Innovation
• Economic Geography
• +5 more

Timo Szczepanska is a postdoctoral researcher at UiT The Arctic University of Norway , affiliated with the Norwegian College of Fishery Science . With expertise in computational modeling and social simulation, Szczepanska contributes to interdisciplinary research bridging technology, environmental science, and urban systems. Current member of the CRAFT research group Active participant in the FUTURES4Fish project Published extensively in journals like JASSS and Frontiers in Marine Science Research Focus: Szczepanska's work explores urban complexity through participatory simulations, develops agent-based models for human behavior analysis, and investigates climate change impacts on fisheries. Key methodological contributions include model reimplementations and integrating creative writing with future scenario planning. Recent Article Trends: Recent publications demonstrate a dual focus on decarbonisation strategies for urban mobility and innovative approaches to fisheries governance under climate change. Methodologically, Szczepanska combines agent-based modeling with game design and creative worldbuilding across multiple domains. Collaborative Networks: Collaborates with international researchers across institutions including Radboud University, Potsdam University of Applied Sciences, and various European research groups. Specializes in translating complex systems into interactive pedagogical tools and policy-relevant simulations. Technical Expertise: Proficient in computational platforms like NetLogo and Unity, with particular emphasis on model documentation, validation, and interdisciplinary translation of technological futures.

• Agent-Based Modeling
• Social Simulation
• Urban Systems
• +3 more

Sara Margareta Cecilia Pilskog serves as an Associate Professor in the Department of Physics and Technology at the University of Bergen, Norway, with dual affiliation at Haukeland University Hospital's Department of Cancer Treatment and Medical Physics. Her research bridges theoretical medical physics and clinical oncology applications, focusing on precision radiotherapy techniques and biological optimization. Her primary research interests center on proton therapy innovation, where she investigates biological optimization strategies using linear energy transfer (LET) and relative biological effectiveness (RBE) modeling. She develops adaptive radiotherapy frameworks to address inter-fractional motion in pelvic cancers, particularly prostate and rectal malignancies. Her work also pioneers neutron-based in-vivo range verification systems and statistical deformation models for dose accumulation. Current projects emphasize reducing treatment margins through anatomical robustness and optimizing biological dose distributions for organ sparing. Analysis of her 15 most recent publications reveals a dominant focus on improving proton therapy precision for pelvic cancers through biological modeling and motion management. Approximately 70% of her work addresses prostate cancer applications, with significant contributions to adaptive strategies for inter-fractional changes and biological optimization techniques. Her research consistently employs Monte Carlo simulations (particularly FLUKA) and clinical data analysis to translate theoretical models into clinically viable solutions. No scientific awards were documented in the provided materials. While specific advising details remain unreported, her collaborative patterns indicate active mentorship within the University of Bergen's medical physics research ecosystem. Her publications consistently involve junior co-authors from clinical physics teams at Haukeland University Hospital, suggesting hands-on supervision of technical staff and research fellows in radiotherapy innovation projects. Grant funding appears primarily channeled through institutional hospital-university partnerships focused on clinical translation of advanced radiotherapy techniques. Dr. Pilskog operates within the University of Bergen's medical physics research cluster that maintains close operational ties to Haukeland University Hospital's radiotherapy department. This integrated academic-clinical environment enables direct implementation of her research on adaptive proton therapy and biological optimization into clinical workflows, with particular emphasis on pelvic cancer treatment protocols. The team utilizes advanced Monte Carlo simulation platforms and clinical treatment planning systems to develop and validate next-generation radiotherapy approaches.

• Medical Physics
• Radiation Oncology
• Proton Therapy
• +3 more