Ajit Jha is an Associate Professor at the Department of Engineering Sciences , University of Agder , Norway, with research expertise in photonic sensing, robotics, machine learning, and sensor fusion. His work bridges theoretical advancements with real-world applications in autonomous systems, industrial automation, and biomedical imaging. Research Areas: Photonic sensing, Robotics, Machine Learning, Computer Vision, Sensor Fusion, Mechatronics Recent Publications demonstrate innovative applications of deep learning to thermal imaging (gesture recognition), reinforcement learning for drone landing, and sensor fusion techniques for autonomous navigation. His interdisciplinary approach combines photonics, radar systems, and AI to solve complex engineering problems.
Rune Jonassen is a Professor at Oslo Metropolitan University's Faculty of Health Sciences, Department of Nursing and Health Promotion. His research focuses on clinical psychology and mental health, particularly stress-related disorders, attentional bias mechanisms, and self-medication practices in adolescents. Research Groups : ADvanced hEalth intelligence and brain-insPired Technologies (ADEPT) Projects : Sauna and cold baths for stress reduction; Pain, youth, and self-medication (SUS) Current studies analyze attentional bias modification techniques for depression, over-the-counter analgesic usage patterns, and chronic pain prediction via EEG-genomics integration. Recent articles examine stress-induced emotional reactivity, rumination's role in treatment outcomes, and network analysis of pain-anxiety-depression links. Email: rune.jonassen@oslomet.no
Ingunn Tho is a Professor at the Department of Pharmacy, University of Oslo. Her research focuses on patient-centered drug formulations, pediatric drug delivery systems, and mucoadhesive buccal films. She leads collaborative projects on nanoparticulate systems and solid dosage forms, emphasizing personalized medicine and compatibility of parenteral drugs. Key research interests include mucosal drug delivery (e.g., vaginal and buccal formulations), nanotechnology applications in drug delivery, and pharmaceutical additive manufacturing. Her work addresses challenges in pediatric care, such as dose adjustment through tablet manipulation and compatibility testing of intravenous drug mixtures. Tho has authored over 100 publications, with recent contributions on drug-polymer solubility prediction, meso-fluidic permeability assessment, and 3D-printed drug formulations. She collaborates with institutions like the Nordic Institute of Dental Materials and Åbo Akademi University. Her projects include the Nordic POP initiative and the Lumiblast research program. Her expertise spans pharmaceutical formulation design, quality-by-design principles, and in vitro evaluation methods. She is actively involved in the Controlled Release Society (CRS) Nordic Chapter and contributes to guidelines for parenteral nutrition compatibility testing.
Martin Wulf Gerdes is an Associate Professor at the Department of Information and Communication Technology, University of Agder, Norway. With a Ph.D. in eHealth and over two decades of experience in telecommunications and healthcare technology research, he focuses on developing user-friendly, interoperable eHealth solutions using ICT and IoT. His career spans roles at Ericsson Eurolab and academic leadership in Norway. Education: M.Sc. equivalent in General Electrical Engineering (1998) from RWTH Aachen, emphasizing ICT. Ph.D.: Information and Communication Technologies with eHealth specialization (2019) from University of Agder. Research Interests: Gerdes explores AI-driven decision support systems, distributed eHealth infrastructure, telemedicine, and assistive technologies for chronic disease management. His work bridges IoT, data privacy, and user-centered design in healthcare robotics. Teaching: Since 2014, he has taught at bachelor's and master's levels, currently leading courses in Communication & Cooperation, Technology Understanding, and seminar projects in eHealth. Scientific Publications: His 15 most recent articles (2020-2024) span AI in dental radiology, blood glucose prediction, digital twins, and ethical considerations in healthcare algorithms. Topics include IoT integration, data privacy, and pandemic analytics.
Dag Johansen is a Professor in the Department of Informatics at UiT The Arctic University of Norway, Tromso campus. His work spans multiple research areas at the intersection of computer science, sports science, medicine, health technology, and nutrition science. He leads the interdisciplinary "Corpore Sano" research center and is actively involved in several research groups including the Cyber Security Group (CSG) and Crime Control and Security Law. Professor Johansen's research focuses on developing fundamental software solutions for secure and error-free data processing in heterogeneous distributed systems, ranging from lightweight "Internet of Things" devices and mobile phones to large-scale cloud solutions. His work particularly emphasizes applications in sports technology, edge computing, and compliance technology. His research interests include distributed systems, cybersecurity, sports technology, edge computing, data privacy, AI for sports analytics, multimedia forensics, and compliance technology. His recent publication trends show a strong focus on AI applications for sports video analysis, particularly in soccer and ice hockey, where his team has developed AI-based cropping systems for social media representations. He also has significant work in data privacy and GDPR compliance, especially regarding the "third country problem," as well as applications of AI in sustainable fishing practices. His 2024-2025 publications demonstrate continued work in self-healing microservices, lightweight encryption for video feeds, and virtual reality training environments. Professor Johansen is actively involved in mentoring students and research collaborators, as evidenced by his extensive publication record with numerous co-authors including doctoral students and postdoctoral researchers. His work has received funding through various research projects focused on data analytics, privacy technology, cybersecurity, and sports technology applications. He leads the interdisciplinary "Corpore Sano" center, which brings together researchers from computer science, sports science, medicine, health technology, and nutrition science. His work also involves collaboration with the "Njord" project focused on sustainable fishing through AI applications, and he's involved in developing the "Áika" distributed edge system for AI inference.
Mette Kalager is a Professor at the Department of Health Management and Health Economics within the Faculty of Medicine at the University of Oslo. Her research focuses on cancer epidemiology, colorectal cancer screening, and health economics, with extensive contributions to understanding overdiagnosis in cancer screening and optimizing colonoscopy practices. She maintains an active research program with numerous high-impact publications in leading medical journals. Her primary research interests center on cancer screening effectiveness, particularly in colorectal cancer prevention. Dr. Kalager's work explores the balance between benefits and harms of screening programs, with special attention to overdiagnosis and the development of risk prediction models. She has made significant contributions to understanding the relationship between adenoma detection rates and subsequent cancer risk, as well as the impact of artificial intelligence on colonoscopy quality. Her research portfolio demonstrates a consistent focus on evidence-based approaches to cancer prevention and healthcare decision making. Analysis of her recent publications reveals a strong emphasis on methodological approaches to evaluating cancer screening programs, with increasing integration of artificial intelligence applications in endoscopy. Her work spans epidemiological modeling, clinical trials, systematic reviews, and health policy analysis, consistently addressing critical questions about the effectiveness and efficiency of cancer prevention strategies. The research demonstrates a trajectory toward more personalized approaches to cancer screening based on individual risk assessment. Dr. Kalager leads or participates in multiple significant research projects including COLONIZE (focusing on Clostridioides difficile infection treatment), EPoS (European Polyp Surveillance), EndoBRAIN International, I-SCAN (Scandinavian study on IBD and cancer), NordICC (Nordic-European study on colorectal cancer prevention), and several others addressing gastrointestinal diseases, cancer risk, and healthcare interventions. Her collaborative approach is evident through extensive co-authorship with researchers across Europe and beyond.
Roger Skjetne is a Professor in Marine Control Engineering at the Norwegian University of Science and Technology (NTNU), affiliated with the Department of Marine Technology under the Faculty of Engineering. His research focuses on autonomous ships, dynamic positioning systems, energy and power management for hybrid-electric vessels, Arctic stationkeeping, and ice management systems. He leads the SFI Autoship research center, which aims to advance autonomous ship technology for safe and sustainable operations in Arctic and maritime environments. Key projects include DigitalSeaIce (multiscale sea ice observation), ENDURE (safety solutions for autonomous ships), and ZEVS (zero-emission passenger vessel systems). His work integrates control systems, robotics, and environmental monitoring to address challenges in marine autonomy and energy efficiency. Skjetne’s research has produced over 150 publications since 2020, with a focus on hybrid control barrier functions, energy optimization, and autonomous navigation. He collaborates with industry partners to translate academic findings into practical maritime solutions.
Edmund Førland Brekke is a Full Professor at NTNU's Department of Engineering Cybernetics, specializing in autonomous maritime systems. He leads major projects like Autosea, Autosit, Autosight, and SFI Autoship. His research focuses on estimation theory, target tracking, SLAM, and collision avoidance for autonomous ships. He has held roles including Project Manager for key initiatives and was a Research Fellow at NUS's Acoustic Research Lab. Brekke teaches courses on sensor fusion and nonlinear state estimation. PhD: NTNU (2010), MSc: NTNU (2005) Research interests include sensor fusion, maritime navigation, and autonomous system safety. He supervises over 20 PhD students in topics like radar tracking, SLAM, and digital twins. His publications span collision avoidance algorithms, multi-sensor integration, and autonomous vessel control. He co-founded Zeabuz and collaborates on projects like Autoferry and AutoBarge. Recent work emphasizes maritime target tracking, scenario-based collision risk assessment, and sensor fusion for autonomous ferries. His contributions advance autonomous vessel autonomy and regulatory compliance with COLREGs.
Idelfonso Nogueira is an Associate Professor in the Department of Chemical Engineering at NTNU. His research focuses on integrating artificial intelligence, advanced control systems, and digitalization to address industrial challenges, particularly in chemical processes and product development. He leads the AiP²S² framework, emphasizing synergies between AI and traditional engineering methods. Education: PhD in Chemical and Biological Engineering (University of Porto, 2018), Visiting Researcher at Tampere University of Technology (2016–2018), and multiple master’s degrees from Brazilian and Portuguese institutions. Research Interests: Process optimization using AI, hybrid modeling, digital twins, and Industry 4.0/5.0 applications. Collaborations span universities, institutes, and industries globally. Teaching focuses on preparing engineers for modern industrial demands. Publications: Over 60 manuscripts, with 70% in Q1 journals (e.g., Chemical Engineering Science , Computers and Chemical Engineering ). Key areas include pressure swing adsorption, machine learning for process control, and fragrance molecule design. Grants/Advising: Active in parameter estimation, process modeling, and renewable energy projects. No explicit student advising list provided. Labs/Teams: Engages in AI-driven process systems engineering, digital twin development, and sustainable technology initiatives.
Catherine Harmer is a Professor of Cognitive Neuroscience at the University of Oxford and an Adjunct Professor at the Department of Psychology, University of Oslo (UiO). Her research focuses on the cognitive and neural mechanisms underlying treatments for depression and anxiety disorders, using advanced techniques like fMRI, MEG, TMS, and psychopharmacological challenges in both healthy volunteers and patient populations. Research Highlights: Harmer’s groundbreaking work proposes that antidepressants alleviate depression by rapidly resolving negative affective bias, leading to gradual symptom improvement. This model has significant implications for treatment stratification, early therapeutic prediction, and novel drug target identification. Publications & Collaborations: Her studies, featured in journals like Biological Psychiatry and Molecular Psychiatry , explore attentional bias modification, neural correlates of cognitive therapies, and the neurochemical basis of affective processing. She is affiliated with the Clinical Neuroscience Research Group (CNRG) and contributes to transdiagnostic research on rumination and mood disorders. Key Techniques: Her lab employs fMRI MEG TMS Neuropsychological assessments
Hugo Lewi Hammer er professor ved Oslo Metropolitan University, tilhørende Faculty of Technology, Art and Design og Department of Information Technology – Mathematical Modeling . Hans forskning fokuserer på forbedring av pålitelighet og transparens i maskinlæring, forsterkende læring og dyb læringsmodeller gjennom metodikk innen modelltolkning, usikkerhetskvantifisering, robust statistikk og kausal inferens. Hans nylige arbeid inkluderer: AI-drevet optimering i assistert reproduksjonsteknologi (embryoutvalg og sædcelleanalyse) Medisinsk bildebehandling (polypdeteksjon, meibomkertutgang) Neural nettverkstolkning og usikkerhetsmodellering i EEG-analyse Biomekanisk prediksjon av muskelutmatting Hans publikasjoner viser mangfoldige anvendelser av AI i medisin og teknologi, med spesialvekt på: Explainable AI (XAI) i diagnostikk og behandling Usikkerhetskvantifisering i dyb læring Automatisering av medisinske prosedyrer (ICSI, embryoanalyse) Stokastisk simulering og kausal inferens Hammer er engasjert i forskningsgruppene Applied Artificial Intelligence og Mathematical Modeling og har publisert over 130 vitenskapelige artikler og 7 forskningsrapporter.
Erin Bachynski-Polić is a Professor in the Department of Marine Technology at the Norwegian University of Science and Technology (NTNU). Her research focuses on offshore renewable energy systems, particularly the design and analysis of fixed and floating support structures for wind turbines, hydroelasticity, and optimization of marine systems. She leads several major projects including WAS-XL, Green Energy at Sea, and WINDMOOR, addressing challenges in mooring systems, extreme loading, and floating wind farm layouts. Education includes a Ph.D. from NTNU (2014), an M.S. and B.S.E. from the University of Michigan (2010 and 2009), specializing in Naval Architecture and Marine Engineering with a mathematics minor. Her teaching spans marine dynamics, ocean structure design, and offshore wind courses. Research interests emphasize advancing hydrodynamic and structural models for floating turbines, wake steering techniques, and environmental load analysis. Notable contributions include validation of Morison force formulations, mooring optimization, and storm impact studies. Projects like SFI BLUES and FLOAWER aim to develop next-generation floating support structures for large-scale offshore wind energy.
Ingrid Bouwer Utne is a Professor in the Department of Marine Technology at the Norwegian University of Science and Technology (NTNU). Her research focuses on risk assessment, autonomy, safety, and maintenance management of marine and maritime systems. She leads the Risk Group at NTNU and has been a main supervisor for numerous PhD students in areas like autonomous systems safety and risk modeling. She is actively involved in research projects such as the ERC AdG BREACH (Risk-Based Rationality in Autonomous Systems), SFI Autoship (Center for Autonomous Ships), and SAFEGUARD (Intelligent autonomous systems for safeguarding ocean infrastructure). Her work emphasizes risk-based control systems, online risk monitoring, and human-autonomy collaboration in maritime operations. Key publications include 'Risk and Interdependencies in Critical Infrastructures' (Springer) and 'Online Probabilistic Risk Assessment of Complex Marine Systems' (Springer). She has advised over 20 PhD students and contributed to industry-funded projects like UNLOCK and ORCAS, focusing on safer autonomous systems design and verification.
Aleksandra Tomic is a Postdoctoral Fellow at the Department of Language and Culture, UiT The Arctic University of Norway. Her research focuses on heritage language acquisition, bilingualism, and psycholinguistics, with particular emphasis on Bosnian and Serbian heritage speakers in Norway. Her research interests span several key areas in linguistics and language processing: Heritage language acquisition and maintenance Morphosyntactic variation in bilingual speakers Code-switching and its cognitive processing Cross-linguistic influence in bilingual language processing Individual differences in heritage language proficiency Methodologies for documenting language experience Dr. Tomic's recent publications demonstrate a strong focus on heritage speakers of Bosnian and Serbian in Norway, examining morphosyntactic processing, clitic placement, and the impact of individual language experience factors. Her work frequently employs experimental methods including ERP studies to investigate the neural correlates of language processing in bilingual contexts. She has made significant contributions to understanding how social and linguistic factors interact in heritage language maintenance and variation. She is a member of the AcqVA Aurora research group and the C-LaBL research network. Her collaborative projects include "Bosnisk språk i Norge" (Bosnian language in Norway), which investigates the status and use of Bosnian language among heritage speakers in Norway.
Joakim Sundnes is a Chief Research Scientist and Research Professor at the Department of Scientific Computing, Simula Research Laboratory. He specializes in computational physiology, cardiac biomechanics, and mathematical modeling of cardiovascular systems. Key Research Areas: Cardiac electromechanics, computational fluid dynamics in cardiology, uncertainty quantification in cardiac models, and mechano-electric feedback mechanisms Recent Trends: Focus on patient-specific modeling, left atrial flow dynamics, right ventricular mechanics in pulmonary hypertension, and personalized treatment simulations Scientific Contributions: Active participant in international conferences and editorial work. Co-author of multiple benchmark studies and educational texts on physiological modeling.
