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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

Alvaro Köhn-Luque is an Associate Professor at the Oslo Center for Biostatistics and Epidemiology, University of Oslo, and Group Leader at the Department of Medical Genetics, Oslo University Hospital. His work bridges mathematical modeling with clinical applications, particularly in cancer research. His academic background includes a PhD in Mathematical and Computational Biology from Complutense University of Madrid (2012), preceded by multiple Master's degrees in Mathematics and Physics from Spanish universities. Dr. Köhn-Luque's research focuses on mathematical oncology , developing computational models to understand cancer dynamics and improve treatment strategies. His work spans multiscale modeling of tumor growth, personalized cancer medicine through computer simulations, and biomarker discovery using machine learning approaches. He has made significant contributions to modeling breast cancer progression and treatment response, particularly in the context of endocrine therapy and CDK4/6 inhibition. His recent publications demonstrate a strong trend toward integrating mechanistic learning approaches that combine mathematical models with machine learning techniques. This hybrid methodology allows for more accurate prediction of treatment outcomes while maintaining biological interpretability. His work frequently involves collaboration with clinical researchers to ensure models are grounded in real patient data and have direct translational potential. Computational modeling of tumor heterogeneity and drug response Development of methods for phenotypic deconvolution in cancer cell populations Integration of multi-omics data for personalized treatment prediction Application of birth-death processes to model tumor evolution Creation of user-friendly computational tools for biomedical researchers Dr. Köhn-Luque has supervised multiple PhD students including Even M Myklebust, Salim Ghannoum, and Xiaoran Lai, and has secured funding for projects including RESCUE, BigInsight, and Integreat. His research demonstrates a consistent trajectory from theoretical mathematical biology toward increasingly clinically relevant applications in personalized cancer medicine.

• Mathematical Oncology
• Computational Biology
• Biostatistics
• +7 more

Magne Jørgensen serves as a Research Professor in the Department of IT Management at Simula Metropolitan, a research center operated by Simula Research Laboratory in collaboration with Oslo Metropolitan University. His work bridges academic research and practical public sector IT implementation, focusing on evidence-based solutions for digitalization challenges. His research centers on critical gaps in software project management, particularly examining human judgment biases in estimation, benefits realization frameworks for agile public sector projects, and the statistical properties of software productivity distributions. He investigates how front-end project phases impact success in Norwegian government IT initiatives and develops methods for more accurate cost-benefit analysis in digital transformation. Analysis of his 15 most recent publications reveals three dominant research trajectories: (1) Agile adaptation challenges in public sector contexts, (2) Empirical studies of productivity variation and estimation bias, and (3) Benefits management frameworks connecting technical delivery to organizational outcomes. His work consistently employs mixed-method approaches combining systematic literature reviews with Norwegian case studies. Jørgensen actively contributes to the EDOS research center at SimulaMet, collaborating with public sector agencies like NAV and the Ministry of Finance. His frequent presentations at governmental seminars (e.g., for Statsministerens kontor and Finansdepartementet) demonstrate direct policy impact, while his Norwegian-language publications target local practitioners through outlets like Magma and Stat & Styring.

• Project management
• Human judgment
• Digitalization in the public sector
• +5 more

Dag Sjøberg is a Professor at the Department of Informatics (Ifi), University of Oslo . He also holds a part-time position at SINTEF Digital . His research focuses on empirical software engineering with emphasis on development processes , agile methodologies , technical debt , and programming skill assessment . Research Interests: Empirical methods (controlled experiments, case studies) Construct validity frameworks Agile and Lean practices Microservices architecture Software quality and maintainability Scientific Achievements: Led Simula Research Laboratory's Software Engineering department ranked #1 globally (2004-2008) Developed Guidelines for Construct Validity in software engineering research Extensive publication record in top venues like IEEE Transactions and Journal of Systems and Software Academic Background: Cand.scient. in Informatics (University of Oslo, 1987) PhD in Software Engineering (University of Glasgow, 1993) Professional Involvement: Co-founder and board member of three IT companies Former research director at Simula Research Laboratory (2001-2008) Current head of the Programming and Software Engineering research section at Ifi

• Software Engineering
• System Development
• IT Systems
• +12 more

Gizem Ates Venås is an Associate Professor in the Department of Computer Science, Electrical Engineering and Mathematical Sciences at Western Norway University of Applied Sciences. She leads research in Human-Robot Interaction (HRI), focusing on intuitive human-robot cooperation through inertial measurement units (IMUs), gamified training systems, and teleoperation. Her work emphasizes safety and natural interaction in collaborative robotics applications. Education: Bachelor's in Electronics and Communication Engineering (2010-2015), Izmir Institute of Technology Master's in Mechanical Engineering (2015-2018), Izmir Institute of Technology PhD in Computer Science (Software Engineering, Sensor Networks) (2018-2023), Western Norway University of Applied Sciences Research interests include: IMU-based motion estimation for cooperative manipulation Design of gamified training systems to improve HRI proficiency Medical robotics applications in teleoperated surgical systems Sensor fusion and real-time data processing for collaborative robots Teaching focuses on robotics fundamentals: ROS programming, embedded systems (Arduino), and robot control Courses: ELE306 Robotics, DAT160 Intelligent Robots, ADA526 Applied Robot Prototyping Labs/Teams: Core member of HVL Robotics Lab, developing open-source robotics education materials and simulation tools.

• Human-Robot Interaction (HRI)
• Inertial Measurement Units (IMUs)
• Gamified User Training
• +4 more

Ole Marius Hoel Rindal is a Senior Lecturer at the University of Oslo (UiO), affiliated with the Department of Informatics (IFI) and the Digital Signal Processing and Image Analysis research group. His research focuses on medical ultrasound imaging, sensor technology, and sports science applications. He holds a PhD in medical ultrasound beamforming from UiO and co-founded Sonair, a company developing 3D ultrasonic sensors for industrial use. Education: PhD in Medical Ultrasound Imaging, University of Oslo (2014) Research Interests: His work spans adaptive beamforming in medical ultrasound, real-time blood pressure monitoring, and biomechanical analysis of cross-country skiing techniques using microsensors and machine learning. Key contributions include advancements in software beamforming, coherence-based aberration correction, and the development of open-source ultrasound tools like the UltraSound Toolbox (USTB). Publications & Trends: Recent work emphasizes clinical validation of ultrasound technologies (e.g., fetal imaging, echocardiography) and algorithmic innovations in beamforming. Collaborations with SINTEF MiNaLab and industry partners highlight practical applications in robotics and athlete performance optimization. Awards: No specific honors listed. Advising & Grants: Guidance on projects involving wearable sensors for blood pressure monitoring and sensor-based athlete analysis. Active in open-source software development for medical imaging. Teams & Labs: Leads the Digital Signal Processing and Image Analysis group at UiO, collaborating with industry (Sonair) and academic partners on sensor innovation and imaging systems.

• Medical Ultrasound Imaging
• Sensor Technology
• Signal Processing
• +3 more

Victor Greiff is a Professor at the University of Oslo's Institute of Clinical Medicine , leading the Computational and Systems Immunology group. His research focuses on integrating high-throughput single-cell sequencing , artificial intelligence , and high-dimensional statistics to advance therapeutic antibody design, diagnostics, and vaccine development for infectious diseases, autoimmunity, and cancer. Key Research Areas : Computational immunology, adaptive immune receptor repertoires, machine learning in antibody discovery, bioinformatics, structural biology, and immune diagnostics. Funding : European Research Council (ERC) Grant AB-AG-INTERACT (Project ID: 101125630). Recent Publications highlight interdisciplinary work in: Machine learning for antibody design and immune repertoire classification . Structural analysis of antibody-antigen interactions and evolutionary immunogenetics . Development of bioinformatics tools (e.g., ExpoSeq, TCRpower, CompAIRR) for immune sequencing data analysis. Scientific Contributions include: Establishing computational frameworks for synthetic immune repertoire generation. Exploring genetic constraints on TCR and BCR diversity. Advancing AI-driven antibody engineering for improved therapeutic developability.

• Computational Immunology
• Adaptive Immune Receptor Repertoires
• Machine Learning in Antibody Design
• +5 more

Mattijs Elschot is an Associate Professor at the Norwegian University of Science and Technology (NTNU) within the Faculty of Medicine and Health Sciences. His research focuses on advancing medical imaging through the integration of artificial intelligence, with a particular emphasis on MRI and PET/MRI for prostate cancer diagnosis and treatment optimization. He actively contributes to the technical development of imaging protocols, reconstruction algorithms, and image analysis methods, bridging medical physics and clinical practice. Key Research Areas: Medical Imaging, Artificial Intelligence, Prostate Cancer, MRI, PET/MRI, Radiation Dosimetry, Image Processing, Machine Learning. His recent publications highlight trends in AI-driven prostate MRI segmentation, federated learning for cancer detection, and the clinical utility of advanced imaging techniques like MR Fingerprinting and attenuation correction. Elschot collaborates extensively with international teams to improve diagnostic accuracy and reduce unnecessary biopsies. He also develops tools such as CROPro for automated prostate MRI processing and explores radiomics reproducibility in clinical settings.

• Medical Imaging
• Artificial Intelligence
• Prostate Cancer
• +5 more

Kauê Feitosa Dias De Sousa is an Associate Professor at the Department of Agricultural Sciences, University of Innlandet. His work bridges ecological science, digital innovation, and participatory methods to support sustainable livelihoods and climate resilience in biodiverse regions. Education: - PhD in Applied Ecology and Biotechnology (University of Innlandet, Norway) - MSc in Tropical Agroforestry (CATIE, Costa Rica) - BEng in Forestry (Universidade Federal do Amazonas, Brazil) Research Interests: Kauê focuses on agrobiodiversity, climate adaptation in smallholder farming systems, and participatory research methods like the triadic comparison (tricot) approach. He integrates data-driven tools with local knowledge to address agricultural challenges in Latin America, Africa, and Asia. Key Contributions: - Developed the tricot framework for decentralized on-farm testing. - Co-created open-source software tools (e.g., ClimMob, gosset, climatrends). - Advised on digital platforms for citizen science in grassroots research. - Contributed to CGIAR's global strategy on data-driven on-farm variety testing (OFVT). International Projects: Led roles in projects funded by the Gates Foundation, NORAD, and CGIAR Trust Fund, spanning Benin, Ethiopia, Ghana, Kenya, and others. Open Science: Most code and workflows are openly available on his team’s GitHub page, promoting transparency and collaboration.

• Applied Ecology
• Agricultural Science
• Climate Adaptation
• +3 more

Roger Midtstraum is a Professor at the Department of Computer Science , Norwegian University of Science and Technology (NTNU), and currently serves as the Vice Dean for Education at the Faculty of Information Technology and Electrical Engineering. He previously held leadership roles including Dean of Engineering Education (2013-2017), Chairman of UHR-MNT (2016-2018), and Chairman of NRT (2013-2016). His career spans academia and technical innovation, with affiliations across institutions like Universitetet i Nordland, Tapir Akademisk Forlag, and ACM Publications. Research interests include software security , digital rights management (DRM) , multimedia systems , and data modeling . His work explores tamper protection in online clients, anti-cheating mechanisms in gaming, secure dissemination of temporal media, and metadata-driven search methodologies (e.g., the SESAM framework). Publications reflect interdisciplinary applications in supply chain management , mobile services , and image processing , with trends toward integrating security , QoS , and semantic networks . Notable collaborations include co-authors Gisle Grimen , Christian Mönch , and Alf Inge Wang . Teaching includes courses like TDT4145 - Data Modelling, Databases and Database Management Systems . He emphasizes curriculum innovation , as seen in his 2012 Textbook: IT Grunnkurs , and leadership in educational policy through roles in national councils (UHR-MNT, NRT).

• Databases
• Data Modeling
• Software Security
• +3 more

Michael Alexander Riegler is a full-time Professor at Oslo Metropolitan University's Faculty of Social Sciences, specifically in the Department of Social Work, Child Welfare and Social Policy. While his formal academic affiliation focuses on social sciences, his research interests span interdisciplinary domains including computer technology, information and communication systems, medical technology, and mathematics/natural sciences. Current research projects: Strengthening solidarity for democratic unity across border (SOLIDEM) addressing trust erosion in European welfare states, and Artificial intelligence in assisted reproduction technology improving embryo/sperm selection Recent publications (2025) focus on AI applications in healthcare (wearable sensors, ECG reconstruction), anomaly detection in time-series data, multimodal healthcare data analysis, and psychiatric motor activity datasets

• Computer technology
• Forensic psychology
• Information and communication technology
• +10 more

Leon Moonen is a Research Professor and Head of the Data-Driven Software Engineering Department at Simula Research Laboratory in Oslo, Norway. He also holds a visiting professor position at the Department of Data Science and Analytics at BI Norwegian Business School. His research focuses on developing advanced data-driven techniques and tools to help software engineers create more secure, trustworthy, and resilient systems. His work combines software analysis, machine learning and AI, software reverse engineering, software repository mining, program comprehension, and empirical software engineering. Moonen's research addresses three main areas: (1) cybersecurity, particularly automated assessment and repair of software security vulnerabilities, as well as automated support for cyber threat intelligence; (2) autonomous self-healing systems, investigating how bio-inspired approaches can build more resilient systems; and (3) intelligent analytics to leverage data from software development, evolution, and operation to support decision-making. His recent publications demonstrate a strong focus on applying large language models to software engineering challenges, including automated programming, program repair, log analysis, and vulnerability detection. The research shows a progression from traditional software engineering approaches toward increasingly sophisticated AI-driven techniques. Professor Moonen has led projects supporting smarter evolution and testing of safety-critical cyber-physical product families, high-integrity software engineering, and software analytics for continuous quality assessment. He collaborates closely with industrial partners including Kongsberg Maritime and Cisco Norway. Before joining Simula, Moonen worked at Delft University of Technology and the Centre for Mathematics and Computer Science (CWI) in Amsterdam. He is also a co-founder of the Software Improvement Group (SIG), which has grown from 6 to over 150 employees since 2000.

• Security and Resilience in Software Systems
• Self-Healing and Self-Adaptive Software
• Applications of Machine Learning in Software Engineering
• +6 more

Ricardo Colomo-Palacios is a Full Professor at the Department of Computer Science and Communication at Østfold University College, Norway. He coordinates the DigiTech research group associated with the Digital Society research priority area. Previously, he worked at Universidad Carlos III de Madrid, Spain. His educational background includes a PhD in Computer Science from Universidad Politecnica of Madrid (2005) and an MBA from the Institute of Empresa (2002). He has professional experience as a Software Engineer, Project Manager, and Software Engineering Consultant, including work at INDRA, a leading Spanish IT company. Colomo-Palacios' research spans several interconnected areas focusing on human aspects of computing and software engineering. His primary interests include Human Factors in Computing, Project Management in Information Systems Development, Global & Distributed Software Engineering, and Systems, Services and Software Process Improvement & Innovation. He also investigates Management Information Systems, Computing Profession Studies, Business Software, and Innovation in IT, with recent work emphasizing cybersecurity applications in critical infrastructure. His recent publications demonstrate a strong focus on cybersecurity applications in critical infrastructure, DevSecOps frameworks, visual analytics for supply chains, and social robotics security. The research shows a clear trend toward integrating security practices throughout the software development lifecycle while addressing real-world challenges in critical systems and infrastructure. He leads several significant research projects including DigiMat (Smart, transparent and sustainable food supply chains), EduTech (Technological assistance to accessibility in Virtual Higher Education), RECYCIN (Reinforcing Competence in Cybersecurity of Critical Infrastructures), and SecuRoPS (User-centred Security Framework for Social Robots in Public Space). As Coordinator of the DigiTech research group, Colomo-Palacios oversees research initiatives within the Digital Society priority area. His work bridges academic research with practical applications in industry, particularly in the areas of software engineering process improvement and cybersecurity for critical infrastructure.

• Human Factors in Computing
• Project Management in Information Systems Development
• Global & Distributed Software Engineering
• +7 more

Vikash Katta is an Associate Professor (part-time) at the Department of Computer Science and Communication, Østfold University College. His academic interests focus on Cybersecurity and Security Systems Engineering , with expertise in risk management, industrial control systems, and cyber-physical systems. He teaches courses like ITI42220 Cybersecurity Risk Management and Incident Response (Spring 2024). Prior roles include Senior Researcher at the Institute for Energy Technology (IFE) from 2006 to 2021, and Research and Innovation Manager at Blender Collective (2021–2022). He has led EU- and Research Council-funded projects in air traffic management, energy, robotics, and Smart City domains, emphasizing cybersecurity and risk management. His research explores traceability in safety-critical systems, Bayesian network frameworks for root cause analysis, and digital twin technology for incident prediction. He is affiliated with the Network for Cybersecurity and Innovation and the Information Systems and Software Engineering research group.

• Cybersecurity
• Security Systems Engineering
• Risk Management
• +3 more

Kyle Andrew Porter is a Researcher in the Department of Information Security and Communication Technology at NTNU. His work focuses on digital forensics, cybersecurity, and AI ethics in law enforcement. He holds a doctoral degree from NTNU (2022) and teaches courses such as IMT4133 - Data Science for Security and Forensics. Education: Doctoral dissertation (2022) on metadata carving and approximate string matching. Research interests include improving forensic data analysis through NLP techniques, reducing investigative biases in AI tools, and optimizing metadata extraction from filesystems. His work bridges theoretical computer science with practical applications in criminal investigations. Recent publications (2021–2025) address tool-induced biases in forensic software, synthetic data generation for entity extraction, and AI compliance in speech recognition for police interviews. He has presented at conferences like COLING and IFIP WG11.9 Digital Forensics. Outreach activities include the 2021 INTERPOL Smart City Think-a-thon and collaboration with KRIPOS (Norwegian Police Security Service).

• Digital Forensics
• Cybersecurity
• Natural Language Processing (NLP) in Investigations
• +3 more