Find Academic Supervisors

• Human-Computer Interaction
• Quality of Experience (QoE)
• User Experience (UX)
• +6 more

Katrien De Moor is an Associate Professor at the Department of Information Security and Communication Technology, Norwegian University of Science and Technology (NTNU), with research focusing on socio-technical approaches in ICT. Her work bridges user experience, digital ethics, and cybersecurity, particularly in immersive environments and next-generation networking. Co-Editor-in-Chief, Quality and User Experience (Springer) Steering Committee, QoMEX Member, Young Academy of Norway Her research spans Quality of Experience (QoE) , User Engagement , and Digital Ethics , with projects like TufiQoE (2020-2024) on ecological validity in immersive media evaluation, and Digital Carbon Footprint studies. Since 2023, she leads NTNU's 5-year Master program in Cybersecurity and Data Communication. She supervises multiple PhD students including Camille Sivelle (Secure XR Experiences), Kaja Ystgaard (Smart Environments), and Ole Martin Edstrøm (Cryptology Modeling). Current projects like Amplify (EU-funded) and Societal Security and Digital Identities (NFR-funded) emphasize ethical AI and human agency. Scientific Recognition: Founding member, Young Academy of Norway Editorial roles in TOMM and QoMEX Conference leadership at ACM IMX and MMSys Her lab collaborates with the Department of Sociology and Political Science at NTNU on cryptology's social dimensions, while mentoring early-career researchers through the PERSEUS Doctoral Programme.

• Computer Vision
• Biometrics
• Artificial Intelligence
• +8 more

Kiran Raja is an Associate Professor at the Department of Computer Science within the Faculty of Information Technology and Electrical Engineering at the Norwegian University of Science and Technology . With a focus on biometric security , computer vision , and educational technology , Raja's academic career spans both technical innovation and pedagogical research. Research interests include: Biometric Security – Face morphing attack detection, deepfake defense, and cancelable template protection Computer Vision – Facial recognition, image generation, and UAV-based person re-identification Medical AI – Healthcare data protection and medical image super-resolution Educational Reform – Redesigning computer science curricula and cross-campus teaching methodologies Recent work trends show a strong emphasis on privacy-preserving AI , ethical biometric systems , and educational technology . Key technical contributions include Vision Transformers for morphing attack detection GAN-based synthetic face morphing datasets Quantization-enhanced models for edge computing Graph Neural Networks for activity recognition Collaborations span institutions like IEEE, Springer, and SPIE, with consistent co-authorship with researchers such as Christoph Busch , Raghavendra Ramachandra , and Haoyu Zhang .

• Software Engineering
• Agile Methodology
• Simulation and Modeling
• +4 more

Arne Styve is an Associate Teaching Professor at the Department of Information and Communication Technology and Natural Sciences, Norwegian University of Science and Technology (NTNU). He serves as a Studyprogram coordinator for Computing Science and teaches object-oriented programming and system development at the Bachelor level, along with simulation and visualization at the Master level. Education: B.Eng. w/Hons (Sivilingeniør) in Microelectronics and Software Engineering, University of Newcastle upon Tyne Research Interests: Specializing in Agile development, simulation modeling, and technology education. His work focuses on programming pedagogy, digital twin applications, and co-simulation frameworks. Recent research explores integrating generative AI into critical thinking practices in programming courses. Publication Trends: His publications over the past decade demonstrate expertise in simulation modeling for maritime systems, educational technology innovations, and software engineering frameworks. Key themes include digital twins, flipped classroom methodologies, and cross-campus programming education. Teaching Contributions: Instructs courses including IDATA2505 (Practice-Based Learning), IDATT2003 (Programming 2), and IDATA2302 (Algorithms & Data Structures). His pedagogical approach combines industry experience with academic innovation. Industry Experience: Over 20 years in Norwegian IT industry, including roles at Offshore Simulator Center (OSC AS), developing advanced maritime simulators and command control systems for defense applications.

• Medical Imaging
• Minimally Invasive Surgery
• Ultrasound Simulation
• +3 more

Toril A. Nagelhus Hernes is a Professor of Medical Technology and Pro-Rector for Innovation at the Norwegian University of Science and Technology (NTNU). She leads NTNU's strategic innovation initiatives and maintains industry partnerships while contributing to medical technology research. Current role in Rector's management team Focus on healthcare technology commercialization Advocate for medical research funding Active in diversity and patient safety efforts Her research bridges medical imaging , minimally invasive surgery , and ultrasound simulation , with over 20 years of contributions to image-guided therapy systems and surgical training platforms. Recent publications focus on 3D reconstruction , endoscopic navigation , and haptic feedback limitations in surgical simulators. She contributes to both technical development and healthcare policy discourse. She actively collaborates with St. Olavs Hospital , C3: Centre for Connected Care , and European Surgical Research networks to advance medical technology adoption in clinical practice.

• Coding Theory
• Cryptography
• Information Theory
• +5 more

Ermes Franch is a Postdoctoral Fellow at the Department of Informatics, University of Bergen, Norway. He is actively engaged in research in coding theory and cryptography, contributing to both theoretical developments and cryptanalytic investigations. Research Interests: His work primarily focuses on coding theory , especially low-rank parity-check codes, and their applications in cryptography . He investigates algebraic constructions of error-correcting codes, decoding algorithms, and the security of post-quantum cryptographic schemes such as Integer-RLWE. His research lies at the intersection of information theory, algebra, and computer security. Publication Trends: His recent publications show a consistent focus on generalizations and algorithmic improvements in rank-metric coding, with increasing contributions to high-impact IEEE journals. The work demonstrates a trajectory toward both theoretical depth and practical relevance in secure communications. Scientific Funding and Projects: Associated with the project Sequences and Their Applications funded by the Research Council of Norway (Reference: 311646). Advising and Grants: While no formal students are listed, his collaborative publications with senior researchers like Chunlei Li and Philippe Gaborit suggest active participation in a research group. His work is supported by national research grants, indicating recognition of his contributions in the field. Labs and Research Teams: He is affiliated with the Department of Informatics at the University of Bergen, contributing to research in sequences, coding, and cryptography, likely as part of a larger research group focused on theoretical informatics and security.

• Physics of complex systems
• Transport phenomena in disordered systems
• Porous media physics
• +3 more

Alex Hansen is a Professor and Center Director at PoreLab SFF (Porous Media Laboratory) at the Norwegian University of Science and Technology (NTNU), Department of Physics. His research focuses on complex systems, transport phenomena in disordered systems, porous media physics, and non-equilibrium statistical physics. He leads interdisciplinary projects in porous media dynamics, with applications in energy, geophysics, and materials science. Research interests include immiscible two-phase flow dynamics, granular media mechanics, and statistical mechanics of disordered systems. His work bridges microscopic pore-scale processes with macroscopic continuum models, using both theoretical frameworks and computational simulations. Key contributions address fingering phenomena, co-moving velocity theory, and effective rheology of multiphase flows. Publications highlight advancements in porous media rheology, Bingham fluid dynamics, and hyper-ballistic diffusion in active matter systems. Collaborations span academia and industry, with a focus on pore network modeling and energy applications. Leadership roles include editorial positions in Frontiers in Physics and the PoreLab SFF center. No scientific awards explicitly listed, though his extensive publication record and center directorship reflect significant contributions. Advising and collaborations involve international teams, though formal student listings are not provided. PoreLab serves as a hub for interdisciplinary porous media research, integrating physics, mathematics, and engineering approaches.

• Structural Dynamics
• Railway Structural Dynamics
• Structural Health Monitoring
• +7 more

Anders Rønnquist is a Professor and Head of the Department of Structural Engineering at NTNU’s Faculty of Engineering Science. His research focuses on structural dynamics, railway systems, and bridge engineering. He leads projects on structural health monitoring, wind engineering, and architectural collaboration in structural design. Key collaborations include work with KTH Stockholm, Vilnius University, and the University of Porto. He teaches courses such as Structural Dynamics, Steel Structures II, and Railway Catenary Systems. His work integrates advanced sensor technologies, machine learning, and probabilistic methods to address challenges in infrastructure longevity and safety. Research interests span structural monitoring, overhead contact line dynamics, and reliability assessments. Notable contributions include the development of Kalman filter-based systems for crosswind load identification and shape grammar approaches for architectural-structural design integration. His team has pioneered non-contact measurement techniques using digital image correlation and advanced neural networks for bridge rivet inspection. Publications highlight innovations in railway catenary optimization, timber structure dynamics, and probabilistic fatigue analysis. His work emphasizes interdisciplinary approaches, bridging engineering and architectural disciplines to enhance sustainable infrastructure solutions.

• Historical Demography
• Microdata Analysis
• Population Registers
• +8 more

Hilde Leikny Sommerseth is a Professor of Historical Demography at UiT The Arctic University of Norway, affiliated with the Department of Archaeology, History, Religious Studies and Theology. She serves as Academic Director of the Historical Population Data Lab (HistLab) and leads externally funded projects like ' Persistence or change? – Lessons from the introduction of the unitary school in Denmark and Norway (2023-2027) ' under FRIPRO funding. Collaborations : National Archives, Norwegian Institute of Public Health, Statistics Norway, Norwegian Central Statistical Office, National Library, Norwegian School of Economics Editorial Roles : Editor of Historical Methods, A Journal of Quantitative and Interdisciplinary History ; board member of Michael (Norwegian medical journal); advisor to international register projects Her research spans historical demography, generational studies, and social inequality in health , with a focus on 1801-1964 Norwegian microdata. Recent work examines automated cause of death coding using machine learning and infant mortality patterns in Trondheim (1830-1910). Scientific contributions include developing AI-constructed population methodologies and analyzing transgenerational health impacts of economic hardship in preindustrial Norway. She also investigates validity of self-reported education in the Tromsø Study and age-specific mortality in Arctic communities during pandemics. HistLab under her leadership formats historical population data for international research access , including a public platform with interactive analysis tools. Current teaching includes HIS-1035 Slektshistorie , applying historical methods to family history research.

• Respiratory Medicine
• Exercise Physiology
• Laryngeal Disorders
• +3 more

Haakon Kristian Kvidaland serves as a PhD Candidate at the Department of Health and Caring Sciences, Western Norway University of Applied Sciences. He is employed at the Institute for Master's in Clinical Nursing in a PhD fellowship position, conducting research while teaching specialized courses in physiotherapy and respiratory medicine. Dr. Kvidaland completed his physiotherapy education at the Western Norway University of Applied Sciences and earned a Master's in Health Sciences from the University of Bergen. His clinical background includes work in primary healthcare with Bergen municipality and secondary care at Haukeland University Hospital, where he developed expertise in exercise-induced laryngeal obstruction (EILO) and long-term respiratory conditions. His research focuses on respiratory pathophysiology , particularly EILO diagnostics and management, with significant contributions to understanding its relationship with asthma. His scholarly work extends to COPD follow-up protocols in general practice, childhood cancer survivorship issues, and neuromuscular disorders affecting pediatric populations. Dr. Kvidaland integrates clinical insights with innovative methodologies including machine learning applications for respiratory diagnostics. As an educator, he teaches Pulmonary Function Measurements, Cardio Pulmonary Exercise Testing, and Skill Training in Physiotherapy. His upcoming teaching responsibilities include FYS300 (Physiotherapy Assessment Management and Evaluation) for Fall 2025 and Spring 2026 semesters, plus FYS390 (Bachelor's Thesis) in Spring 2026. At Haukeland University Hospital, Dr. Kvidaland previously managed quality assurance at the heart and lung test laboratories within the Vitality Center for Children and Youth. His dual expertise in clinical practice and research enables him to develop evidence-based approaches for diagnosing and treating complex respiratory conditions, particularly through randomized controlled trials examining EILO treatment efficacy and prevalence among asthmatic patients.

Julia RomanowskaView profile

Researcher

• Bioinformatics
• Epigenetics
• Statistical genetics
• +4 more

Julia Romanowska is a senior engineer and bioinformatician at the Department of Global Public Health and Primary Care, University of Bergen . She actively contributes to research projects including the DRONE (Drug Repurposing for Neurological Diseases) and START (Study of Assisted Reproductive Technology) initiatives. Romanowska co-founded R-Ladies Bergen to promote gender diversity in computational sciences. PhD in Theoretical Biophysics (University of Warsaw) Former postdoc at Institute of Genetic Medicine, University of Bergen Developed HaplinMethyl software for DNA methylation analysis Her research spans epigenetics , X-chromosome methylation , and drug-disease associations , with recent publications in Human Genomics and bioRxiv . Romanowska specializes in genetic association studies , computational modeling , and high-dimensional data analysis .

• Health Informatics
• EHealth
• Medical Informatics
• +3 more

Professor Arild Faxvaag is affiliated with the Norwegian University of Science and Technology (NTNU) at the Department of Neuromedicine and Movement Sciences, while also serving as a Senior Physician at the Clinic for Orthopaedics, Rheumatology and Skin Diseases at St. Olavs Hospital HF. His work bridges clinical practice with health informatics research. Scientific disciplines: Other health subjects, Information and communication technology Keywords: EHealth, Health Informatics His research focuses on optimizing clinical workflows through digital health technologies. Current projects include: HUNT AI for Heart Health (active) Eval-HP - Establishing a factual basis for evaluating the Health Platform (completed) Nordic eHealth Research Network (active) Recent publications analyze usability challenges in electronic health records, standardization of clinical documentation, and transformation of vaccination schedules into machine-processable formats. His work emphasizes practical implementation of health IT solutions in clinical settings.

• Information Security
• Communication Technology
• Intent-Based Networking
• +3 more

David Fonseca Palma is an Associate Professor at the Department of Information Security and Communication Technology of the Norwegian University of Science and Technology (NTNU) , focusing on advanced network compliance, intent-based networking, and responsible technology development. His work bridges theoretical research with practical applications in cybersecurity and communication systems. Research Interests: Information Security, Communication Technology, Intent-Based Networking, and Ethical Technology Design Contact: david.palma@ntnu.no | Project Page Recent publications highlight his contributions to knowledge graph automation in network compliance (2024), XR use cases in critical sectors (2024), and responsible technology frameworks (2023). His work spans both technical and societal aspects of emerging technologies.

• Public Health
• Social Epidemiology
• Health Inequalities
• +6 more

Magnus Rom Jensen is a researcher affiliated with the Norwegian University of Science and Technology (NTNU) and the NTNU University Library. His work spans public health, social epidemiology, and health inequalities, with additional contributions to library-academic collaborations and digital research tools. Research Focus: Social determinants of health, infectious diseases in LMICs, physical activity in autism, and educational disparities in mortality. Key Collaborations: Regularly works with Solvor Solhaug and other interdisciplinary teams on systematic reviews and meta-analyses. Academic Contributions: Recent publications emphasize human-centric IoT, political science trends, and library-led research support services. His 15 most recent publications highlight themes in global health equity, data-driven research methodologies, and interdisciplinary approaches to addressing health disparities.

• Digital Twins
• Complex System Simulation
• Virtual Reality
• +8 more

Saleh Abdel-Afou Alaliyat is an Associate Professor in Computer Science at the Department of ICT and Natural Sciences, Norwegian University of Science and Technology (NTNU), Faculty of Information Technology and Electrical Engineering. He leads the Sustainable Digital Transformation (SDT) R&D Lab. Research Interests: Dr. Alaliyat's work focuses on Digital twin architecture, simulation, and visualization in offshore energy and urban sustainability Artificial intelligence, particularly deep learning, swarm intelligence, and optimization algorithms Virtual worlds, 3D environments, and human-computer interaction Agent-based modeling for environmental and aquaculture systems Computer vision and information security applications Publications: His recent work (2022-2024) emphasizes predictive digital twins for wind energy, smart city applications, computer vision for litter detection, and AI-driven curriculum development. Earlier works (2013-2019) explore agent-based modeling for disease dynamics in aquaculture and swarm optimization algorithms. Teaching: He teaches courses in Game Development, Information Security, Computer Graphics, and Swarm Intelligence at both bachelor's and master's levels. Outreach: He has delivered lectures at international conferences like ECMS 2022 and IEEE ICMSAO 2019.

Eigil SamsetView profile

Professor

• Digital Signal Processing
• Image Analysis
• Medical Imaging
• +12 more

Eigil Samset is a Professor II in the Department of Informatics at the University of Oslo, affiliated with the Faculty of Mathematics and Natural Sciences. He is a key member of the Digital Signal Processing and Image Analysis (DSB) research group and contributes to the Strategic Research Initiative MEDIMA (Multimodal Medical Imaging and Image Analysis). His work is also associated with the INIUS (Intelligent Image-Guided Surgery) project, reflecting his strong focus on translational research in medical imaging. His research interests span artificial intelligence, deep learning, medical image analysis, echocardiography, and image-guided surgery . He specializes in developing advanced computational methods for cardiac ultrasound, including automated segmentation, motion tracking, and 3D/4D reconstruction. His work bridges computer science and clinical cardiology, aiming to improve diagnostic accuracy and procedural guidance. The recent publications show a consistent trend in applying deep learning to automate measurements in echocardiography, such as left ventricular strain, outflow tract diameter, and chamber segmentation. There is also a strong emphasis on biomechanical modeling, image fusion (e.g., ultrasound with fluoroscopy or CT), and real-time visualization for surgical applications. His work frequently appears in high-impact journals in medical imaging and biomedical engineering. He has advised or collaborated closely with numerous researchers and students, as evidenced by his frequent senior authorship on publications involving PhD candidates and postdocs. His research is supported by institutional affiliations and collaborative projects rather than individual grant mentions in the provided text. He is actively contributing to the field, with recent work in 2024, and maintains an academic email at the University of Oslo. There is no indication of retirement or emeritus status.