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Anne Kjersti C. BefringView profile

Professor

• Health Law
• Administrative Law
• Constitutional Law
• +12 more

Anne Kjersti C. Befring is a Professor at the University of Oslo 's Department of Public Law. She is one of the Nordic countries' leading experts in health law and life sciences , with a focus on genetic mapping , AI in healthcare , and data privacy regulations . Doctorate in Law (2019) on Legal Perspectives on Personalized Medicine Co-founder of the Nordic PerMed Law network (2019-2021) Current legal researcher in the Morgi life science project (2022-present) Her research spans health law , administrative law , and constitutional law , particularly examining how GDPR intersects with national healthcare regulations, patient rights in data sharing, and ethical issues in gene therapy. Recent publications focus on: AI's impact on medical decision-making Legal frameworks for biobanks Personalized medicine governance Pandemic emergency legal measures Laboratory data privacy protocols She supervises PhD candidates Vibeke Binz Vallevik (synthetic data for AI) and Ole Boye (gene therapy). Befring served as Deputy Chair of Norway's National Research Ethics Committee for Medicine and Health Sciences (NEM) from 2022-2025 and has contributed to critical policy discussions around data ethics and public health governance .

• Ecology
• Wildlife Biology
• Climate Change
• +3 more

Simen Pedersen is an Associate Professor at the Department of Forestry and Outback Studies , Faculty of Applied Ecology, Agricultural Sciences and Biotechnology, University of Inland Norway, Campus Evenstad. His research focuses on climate change impacts on wildlife, particularly adaptive responses in mountain hares and deer populations. Key Research Themes: Climate-driven camouflage mismatch in mountain hares, stress physiology in hunted populations, and trophic interactions between large herbivores and forest ecosystems. Methodology: Integrates GPS tagging, camera trap data from SCANDCAM, and molecular techniques to study adaptive genetics and behavioral responses. Publication Trends: Recent work spans from 2025–2016, emphasizing climate adaptation , herbivory impacts , and ecological sustainability . Collaborations with international scientists (Australia, Sweden, Norway) appear across journals like Global Change Biology and Ecology and Evolution . Students: Supervises PhD researcher Simen M Talleraas in the TaigaClimate project , which examines climate and management effects on deer populations. Labs & Teams: Affiliated with the WILDCOM research group (Ecological Communities in Change), working on wildlife population dynamics and habitat use through projects like Hare's change of costume and Territory use in hares .

Jill Duerr BerrickView profile

Professor

• Child Welfare Services
• Foster Care
• Child Abuse and Neglect
• +4 more

Jill Duerr Berrick is the Zellerbach Family Foundation Professor at UC Berkeley's School of Social Welfare and a Professor II at the University of Bergen's Department of Government. Her research focuses on improving child welfare systems, particularly foster care and family poverty interventions. She emphasizes integrating service users' perspectives into policy and practice. Education: Ph.D. Social Welfare, UC Berkeley (1990) M.S.W., UC Berkeley (1987) B.A. History, UC Santa Cruz (1983) Research Interests: Systems of Care for Children/Families/Older Adults Family Policy Child and Family Poverty Child Abuse and Neglect Foster Care Reform Cross-National Child Protection Systems Her work examines global child protection frameworks, including a forthcoming Oxford Handbook of Child Protection Systems analyzing 50 countries. Advocacy & Campus Involvement: Co-founder of Berkeley Hope Scholars supporting foster care alumni Lead advocate for eliminating foster care fees for birth parents Chair of the School of Social Welfare's undergraduate program Collaborations: Works with Prof. Marit Skivenes on global child protection typologies and public attitudes across Norway and the U.S.

• Robotic Vision
• Autonomous Systems
• Computer Vision
• +6 more

Annette Stahl is a Professor at the Department of Engineering Cybernetics, NTNU, and an Onsager Fellow. She leads the Robot Vision Group and oversees the AILARON project, funded by the Research Council of Norway. Her expertise spans robotic vision, control theory, and autonomous systems. She holds a PhD in Applied Mathematics (Computer Vision) from Heidelberg University. Her research focuses on underwater robotics, autonomous vehicles, and aquaculture monitoring, with applications in fish health analysis and marine environmental sensing. Stahl has supervised numerous PhD and master’s students, including projects on autonomous ships (SFI AutoShip), underwater SLAM (AROS), and plankton identification. She collaborates with industry partners like Zebop AS and SINTEF Ocean. Notable projects include the robotic microplankton sniffer-dog and AI-driven fish welfare monitoring. Her work is published in top journals/conferences like IEEE Access and MIC Journal. She actively contributes to datasets like the VAROS Synthetic Underwater Data Set.

• Applied Artificial Intelligence
• Digital Twins
• Hybrid Modeling
• +4 more

Idelfonso Nogueira is an Associate Professor at the Department of Chemical Process Technology, Norwegian University of Science and Technology (NTNU). His research focuses on integrating artificial intelligence, advanced control, and system optimization to address challenges in Industry 4.0/5.0. Key research areas include AI-driven product/process development, interpretable machine learning for process systems, multi-scale system integration, and adaptive digital twins. He collaborates extensively with global universities, institutes, and industries to advance sustainable industrial solutions. His work emphasizes digitalization, hybrid modeling, and optimization frameworks, as seen in publications on pressure swing adsorption, fragrance engineering, and CO2 capture systems. He also promotes innovative teaching methods, including augmented reality for chemical engineering education. Recent publications highlight advancements in digital twin frameworks, machine learning for crystallization processes, and optimal control strategies. His research bridges theoretical models with practical applications, ensuring robustness and reliability in industrial contexts.

• Lithium-ion Battery Technologies
• Redox Flow Batteries
• Bioenergy
• +5 more

Dr. Jacob Joseph Lamb is an Associate Professor at the Norwegian University of Science and Technology (NTNU), affiliated with the Department of Energy and Process Engineering within the Faculty of Engineering. He serves as the Study Program Manager for the Bachelor of Engineering in Renewable Energy (BIFOREN) and leads the Digital Energy Systems laboratory group. His roles include WP8 leadership in the FME Battery initiative and Theme Leader for Efficient Energy Use at ENERSENSE. Education: PhD in Energy and Process Engineering, NTNU (2013–2016) MSc in Chemical Engineering, University of Otago, New Zealand (2011–2012) BSc in Chemical Engineering, University of Otago, New Zealand (2008–2010) Research Interests: Dr. Lamb focuses on sustainable energy systems, particularly lithium-ion battery technologies , redox flow batteries , bioenergy , and digitization of energy systems . He explores sensor technologies for real-time monitoring and optimization of energy storage devices. His work integrates machine learning with physics-based models to enhance battery performance and reliability. Key Projects: FME Battery: Norwegian research initiative for advanced battery technologies ReZinc: Zinc-air flow battery development for stationary storage HeaLiSelf: Self-healing lithium-ion batteries using optical sensing and data analytics Computational studies on pre-lithiation processes and cold-climate battery performance Publications: His recent work emphasizes lithium-ion battery digitalization , SoC estimation , and electrode structuring . He bridges experimental and computational methods to address challenges in energy storage scalability and safety. Affiliations: ENERSENSE (Efficient Energy Use Theme) NTNU Thermal Engineering Laboratories

• Structural Dynamics
• Bridge Engineering
• Wind Engineering
• +6 more

Ole Andre Øiseth is a Professor at the Department of Structural Engineering, Norwegian University of Science and Technology (NTNU), specializing in structural dynamics with focus on bridges and marine structures. He leads the structural mechanics research group. Research Interests: Wind Engineering Bridge Aerodynamics Structural Health Monitoring Operational Modal Analysis Fluid-Structure Interaction Extreme Load Analysis Key Contributions: Developed nonlinear force models for bridge aerodynamics Advanced Kalman filter techniques for wind load identification Environmental contour methods for bridge design Automated monitoring systems for long-span bridges

Martin Wulf GerdesView profile

Associate Professor

• eHealth
• Artificial Intelligence
• Machine Learning
• +9 more

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.

Evgenii AleksandrovView profile

Associate Professor

• Public Sector Accounting
• Performance Measurement and Management
• Dialogic Accounting
• +6 more

Evgenii Aleksandrov is an Associate Professor at the High North Center for Business and Governance within Nord University Business School (Bodø, Norway). His research focuses on public sector accounting, performance measurement, dialogic accounting, Smart City governance, and sustainable development in Arctic regions. Master course: LED5010 Smart Specialization and Management (7.5 ECTS) PhD course: ECO9001 Contemporary Strands of Institutional Theory Online PhD course: Introduction to Academic Writing Key research areas include: Public Sector Hybridity and Non-Financial Reporting Smart City Governance in the Arctic Institutional Work in Participatory Budgeting Critical Scrutiny of Smart City Rankings University Hybridization through Management Controls His 15 most recent articles analyze: Arctic urban sustainability challenges Dialogic vs. technocratic governance models Institutional logics in performance budgeting Hybrid organizations' accountability mechanisms Smart City collaborative thinking metrics He leads the EduSmart project (Research Council of Norway, INTPART programme) focused on education and knowledge development for Smart City governance in the High North.

• Artificial Intelligence
• Process Control
• Systems Optimization
• +4 more

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.

• Stormwater Management
• Urban Hydrology
• Green Infrastructure
• +6 more

Tone Merete Muthanna is a Professor in the Department of Civil and Environmental Engineering , Faculty of Engineering at NTNU . Her research focuses on stormwater management, urban hydrology, green infrastructure, and sustainable urban development. She leads projects on green roof performance, climate-resilient drainage systems, and pollutant dynamics in urban environments. Education details are not explicitly mentioned, but her affiliation with NTNU and extensive academic output indicate advanced qualifications in civil/environmental engineering. She has supervised numerous PhD and MSc students, including notable advisees like Elhadi Mohsen Hassan Abdalla and Noëlie Maurin. Research Interests : - Hydrological modeling of green/grey infrastructure in cold climates. - Climate adaptation strategies for urban water systems. - Sustainable drainage solutions integrating green and gray technologies. - Water quality management in urban runoff and gully systems. Recent Article Trends : Her 2025 work highlights green infrastructure's winter performance, while 2024 studies focus on grass swale infiltration, sediment contamination, and guideline comparisons. The 2023 papers emphasize model development, pollutant analysis, and climate adaptation frameworks. Awards & Grants : No explicit awards listed, but active in EU-funded projects like Klima 2050 and leads interdisciplinary research teams. Supervised over 20+ student theses since 2018, many funded by SINTEF and NTNU grants. Labs & Teams : Affiliated with ZEB-laboratoriet (Zero Emission Building Lab) at NTNU, focusing on sustainable urban systems. Collaborates internationally with groups like IWA Publishing and Sintef Research.

Gudmund GrovView profile

Associate Professor

• Digital Security
• Cybersecurity
• Network Anomaly Detection
• +7 more

Gudmund Grov is an Associate Professor in Digital Security at the Department of Informatics, Faculty of Mathematics and Natural Sciences, University of Oslo. His research focuses on cybersecurity, with emphasis on anomaly detection, explainable AI, and security modeling. He is actively contributing to advancements in autonomous cyber defense and machine learning applications in security operations. His research interests span Digital Security , Network Anomaly Detection , Explainable AI (XAI) , Machine Learning for Cyber Defense , Security Modeling , and Risk Modeling in Enterprise Architecture . His work integrates formal reasoning with practical modeling to enhance system security and interpretability. The recent publications reflect a strong trend towards intelligent and interpretable cybersecurity systems, combining deep learning with formal methods to detect and explain network threats. His work bridges the gap between theoretical modeling and real-world security applications, particularly in autonomous defense and labeled dataset generation for APTs. No scientific awards were mentioned in the provided text. Gudmund Grov collaborates extensively with researchers in cybersecurity and formal methods. While specific grants and advising roles are not detailed, his co-authorship on multiple projects indicates active research supervision and collaboration. He is involved in developing frameworks for labeled data generation, contextual anomaly detection, and explainable alerts in SOC environments. There is no explicit information about labs or research teams, but his work suggests involvement in cybersecurity research groups at the University of Oslo focusing on AI-driven security and formal verification.

• Power Electronics
• Energy Conversion
• Microgrids
• +4 more

Bjarte Hoff is an Associate Professor and Study Program Director for the Master of Electrical Engineering at UiT The Arctic University of Norway's Department of Electrical Technology. His core research focuses on power electronics, energy conversion systems, microgrids, and smart energy applications, particularly in Arctic environments. He leads multiple projects including RENEW (renewable energy systems), Smart Senja, and HyEkoTank (hydrogen fuel cells for maritime transport). His research interests span: Power electronics and control algorithms Low-voltage electrical installations and microgrids Distributed generation and smart grids Electric transport systems (maritime/vehicular) Renewable energy integration Capacitive wireless power transfer Publication analysis shows consistent focus on: energy conversion topologies (especially current source inverters), Arctic energy management using deep learning, capacitive wireless charging for maritime applications, and optimization of power transfer systems. His most recent works demonstrate increasing emphasis on AI-driven energy management and hydrogen fuel cell integration. He teaches courses including: ELE-3605 Electrical Engineering Project ELE-3607 Power Electronics ELE-3608 Advanced Electric Drives ETE-2801 Electrical Installations As principal investigator, he leads projects such as: RENEW - Renewable & Smart Rural Power Systems Smart Senja (Arctic microgrids) HyEkoTank (hydrogen PEM fuel cells for ships) Arctic Energy research initiative UNDERSEA capacitive charging systems He collaborates with the Electromechanical Systems research group and supervises PhD candidates in power electronics and energy systems.

• Computational Physiology
• Biomechanics
• Cardiac Electromechanics
• +7 more

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.

Sebastian WestermannView profile

Professor

• Permafrost Research
• Remote Sensing
• Climate Modeling
• +3 more

Sebastian Westermann is a Professor at the University of Oslo's Department of Physical Geography and Hydrology. His research focuses on permafrost dynamics, remote sensing applications in cryospheric sciences, and climate modeling. He leads the CryoGrid community model development for simulating terrestrial cryosphere processes and has conducted field campaigns in Svalbard, Canada, and Mongolia. He holds a PhD in Physics from the University of Heidelberg (2010) and a Diploma in Physics from the University of Freiburg (2006). Education: PhD (2010) in Physics, University of Heidelberg, Germany Diploma degree (2006) in Physics, University of Freiburg, Germany His research interests include permafrost thermal state analysis, carbon balance in thawing permafrost regions, and remote-sensing products like ESA Permafrost_CCI. He investigates subgrid variability in permafrost models and the scaling strategies for permafrost variables. Recent work addresses climate-mass balance linkages in Arctic glaciers and biophysical processes in Earth system models. Key publications from 2023-2025 focus on pan-Arctic permafrost evolution, carbon degradation in thawing peatlands, and cryosphere-climate interactions. His work is supported by projects like CryoWALL, EMERALD, and SNOWDEPTH, and he collaborates internationally on initiatives such as the ESA Permafrost_CCI product.