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Mohamed Abomhara is a Senior Researcher and Head of Department at the Department of Information Security and Communication Technology, Norwegian University of Science and Technology (NTNU) , Faculty of Information Technology and Electrical Engineering. He serves as Discipline Leader for the MRI PET (Multidisciplinary Research group on Privacy and data protEcTion) research group. Research Interests His expertise includes: GDPR compliance and privacy-by-design Risk assessment and secure system design AI ethics and social-cyber risk mitigation Healthcare digital transformation security Border control technology ethics Recent Publications His 2024-2025 research focuses on multilingual hate speech detection , border control technology acceptance , and privacy protections in national identification systems , bridging AI ethics, cybersecurity, and regulatory compliance. Earlier work (2016-2022) addresses: Cybersecurity in digital substation infrastructure Secure collaborative healthcare information sharing Blockchain-based GDPR compliance AI-driven social media analysis

• Cybersecurity
• Privacy and Data Protection
• GDPR Compliance
• +7 more

Muhammad Adnan serves as a Research Fellow at the Department of Technology and Safety, UiT The Arctic University of Norway, with contact details including email muhammad.adnan@uit.no and phone +47 77 66 02 47. His research spans critical domains in modern engineering and computer science, with primary focus areas: Autonomous Maritime Systems : Developing operational frameworks for remotely controlled vessels and onshore operation centers Machine Learning Applications : Advancing ensemble methods for classification, spam detection, and remote sensing Computer Vision Integration : Leveraging electro-optical/NIR sensors for maritime object detection Cybersecurity Solutions : Enhancing email security through stacking ensemble techniques Recent publications (2023-2024) reveal a concentrated research trajectory merging maritime autonomy with AI-driven solutions, demonstrating significant interdisciplinary work across navigation support systems, sensor fusion, and transfer learning applications. His output shows consistent publication in high-impact journals with practical engineering implementations. No scientific awards were documented in the provided materials. Information regarding student supervision, grant funding, or laboratory affiliations was not available in the source text.

• Autonomous Systems
• Machine Learning
• Computer Vision
• +3 more

Sushmit Dhar serves as an Associate Professor in the Department of Automation and Process Technology at UiT The Arctic University of Norway, focusing on control engineering and automation solutions for Arctic maritime challenges. His work bridges theoretical control methods with practical applications in extreme environments. His research spans: Classical and modern control methods (PID, LQR, MPC) State estimation and Kalman filtering Physics-Informed Neural Networks and Reinforcement Learning for decision support IoT-based automation for maritime operations Marine icing phenomena and sea spray measurement Recent publications demonstrate cutting-edge work in marine icing prediction using LiDAR and capacitive sensors, Arctic road safety systems, and optimization of maritime operations. His research integrates advanced sensing technologies with data-driven modeling to address safety challenges in cold climates, particularly through sea spray measurement innovations and route planning algorithms for fishing vessels and search-and-rescue operations. Dr. Dhar actively contributes to collaborative initiatives: Member of the Sustainable Technology and Safety (STS) research group Member of the IR, Spectroscopy, and Numerical Modelling Research Group Key participant in the SPRICE project (Multidisciplinary approach for spray icing modelling and decision support) His teaching portfolio includes foundational courses in Linear Systems (AUT-2604) and Control Engineering (AUT-2801) for Automation Engineering undergraduates, preparing students for technical challenges in Arctic engineering contexts.

• Control Engineering
• Automation
• Marine Icing
• +5 more

Jan Franz Nygård is an Associate Professor at the Department of Physics and Technology , UiT The Arctic University of Norway. His work bridges Machine Learning with Health Informatics , focusing on cancer registries, AI for medical diagnostics, and data-driven healthcare solutions. UiT The Arctic University of Norway Department of Physics and Technology His research spans Cancer Research , Artificial Intelligence , and Data Science , with recent studies on synthetic data applications, federated learning, and quantum computing in healthcare. Over 15 recent publications highlight his contributions to breast cancer detection, cervical cancer risk prediction, and software testing for medical systems. Key collaborations include partnerships with the Cancer Registry of Norway , international consortia on federated networks, and interdisciplinary teams in Medical Imaging and Bioinformatics . His work addresses challenges in Secure Health Data Analysis and Population Health Management .

• Machine Learning
• Health Informatics
• Cancer Research
• +5 more

Professor Axel Müller serves as Research Group Leader for the Norwegian Center for Mineralogy (NORMIN) at the Natural History Museum, University of Oslo. His academic career spans industry, government geological surveys, and academia, with current focus on mineralogy and petrology of granites and pegmatites. Müller maintains dual affiliations as External Researcher at the Natural History Museum of London since 2012. Professor of Mineralogy, University of Oslo (2015-present) Research Group Leader, NORMIN External Researcher, Natural History Museum London (2012-present) Associate Editor, Journal of Geochemical Exploration Scientific Associate, Natural History Museum London Professor Müller's research centers on genetic mineralogy, particularly quartz chemistry in pegmatite systems, with applications for solar cells and microchip production. His work bridges fundamental mineral science and industrial applications, focusing on rare-metal (Li, Sn, W, Nb, Ta, REE) and industrial mineral deposits. Current projects emphasize exploration for critical raw materials essential to the energy transition. His publication record demonstrates consistent output in top geoscience journals, with recent work (2023-2025) focusing on pegmatite exploration techniques, quartz chemistry, and machine learning applications in mineral deposit identification. Müller leads the significant EU-funded GREENPEG project developing tools for locating buried pegmatite deposits containing lithium and high-purity quartz. Society of Economic Geologists (SEG) Society for Geology Applied to Mineral Deposits (SGA) Mineralogical Society of UK and Ireland Leibniz-Sozietät der Wissenschaften zu Berlin Professor Müller actively supervises graduate students through the University of Oslo, with research opportunities connected to NORMIN's analytical facilities and international collaborations. His GREENPEG project provides substantial funding for PhD and postdoctoral positions focused on critical raw materials exploration. The research group maintains strong industry partnerships with mineral exploration companies and geological surveys across Europe. NORMIN serves as Norway's national hub for mineralogical research, housing advanced analytical equipment and the Mars Sample Return Analogue Sample Library (MSR ASL). Müller's group conducts fieldwork across Norwegian pegmatite provinces and European lithium deposits, with recent work in Austria's Wolfsberg deposit and Norway's Tysfjord region.

• Mineralogy
• Petrology
• Granite and Pegmatite Research
• +5 more