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Henning BangView profile

Professor

• Organizational Psychology
• Work and Organizational Psychology
• Group Processes
• +7 more

Henning Bang is a Professor (50% part-time) at the Department of Psychology, University of Oslo , specializing in work, cultural, and social psychology. He concurrently serves as Managing Director of Henning Bang AS (50%) and has held leadership roles in consulting firms since 1989. His academic career includes teaching at UiO, NHH, and BI in areas like group psychology, organizational culture, and leadership. Education: PhD in Psychology (2010, University of Oslo) Master's in Psychology (1986, University of Oslo) Master of Science in Economics (1982, Norwegian School of Economics) Research Interests: Focuses on group processes, team effectiveness, leadership dynamics, organizational culture development, and conflict resolution. His work emphasizes practical applications in military, police, and corporate settings, often leveraging character strengths and psychological safety frameworks. Recent projects include predicting cadet performance, leadership team development, and organizational flexibility. Publications: Over 30 peer-reviewed articles and book chapters since 2008, with a focus on character strengths measurement, leadership effectiveness, and organizational behavior. Recent themes include psychological safety in teams and cultural flexibility in workplaces. Awards: 2010: Bjørn Christiansen Memorial Prize (Norwegian Psychological Association) 2004: Teaching Excellence Award (UiO Department of Psychology) Consulting & Teams: Leads Henning Bang AS, advising organizations on leadership development and culture change. Collaborates with military and police institutions on character strengths-based training programs.

• High Voltage Apparatus
• Electric Ageing Mechanisms
• High Voltage Electric Machines
• +12 more

Pål Stabel Keim is an Associate Professor and Deputy Head of Education at the Department of Electric Energy , Norwegian University of Science and Technology (NTNU) , within the Faculty of Information Technology and Electrical Engineering . His work focuses on high voltage apparatus, electrical machines, and power electronics with a system-oriented perspective. University: NTNU School: Faculty of Information Technology and Electrical Engineering Department: Department of Electric Energy Academic Rank: Associate Professor Keim's research emphasizes insulation design for HVDC, HVAC, and inverter-fed machines, partial discharge analysis, and system-oriented design of electric machines. His work integrates digital tools to enhance electrical system design from generation to consumption. His recent publications explore modular HVDC wind drive trains, multi-agent control systems, aerospace power electronics, and dielectric insulation under combined voltages. These span disciplines including Electrical Engineering , Renewable Energy , and Aerospace Systems . 2015 : Nowitech Innovation award 2016 : Grønn fases energipris Keim has supervised Jaume Martí Cascalló (Master's thesis, 2020) and co-authored extensive research on high-voltage systems. He teaches courses in electrical machines, power systems, and energy infrastructure.

• Control Systems
• Petroleum Engineering
• Machine Learning
• +3 more

Alexey Pavlov is a Professor of Petroleum Cybernetics at the Department of Geosciences and Petroleum, Norwegian University of Science and Technology (NTNU). He holds an MSc in Applied Mathematics from St. Petersburg State University, a PhD in Mechanical Engineering from Eindhoven University of Technology, and has industrial R&D experience from Statoil and Ford Motor Co. Education: MSc (Applied Mathematics, St. Petersburg State University), PhD (Mechanical Engineering, Eindhoven University) His research focuses on control systems for petroleum engineering applications, including nonlinear control theory, iterative learning control, and data-driven optimization methods. Publications reveal a strong emphasis on real-time drilling optimization, well integrity monitoring, and synchronization in networked systems. Recent work trends include machine learning integration for oil well monitoring, moment matching in model reduction, and extremum seeking control for multi-agent systems. Collaborations span institutions like Ford Motor Co., Statoil, and Eindhoven University of Technology. Current affiliations include the Department of Geosciences and Petroleum at NTNU. No scientific awards or advisee information is explicitly mentioned in the provided texts.

Tor SkeieView profile

Professor

• High-Performance Networking
• Distributed Systems
• InfiniBand Technology
• +2 more

Tor Skeie is a Professor at the University of Oslo's Department of Informatics, specializing in networks and distributed systems. His research focuses on high-performance networking, InfiniBand technologies, and adaptive routing systems. Current investigations include automated parameter tuning for reservoir simulations, adaptive routing in InfiniBand hardware, and modeling WiFi quality attenuation. His work develops efficient solutions for virtualized HPC environments and cloud computing infrastructures. Recent publications demonstrate innovations in network modeling, adaptive routing algorithms, and performance analysis of distributed systems. Research collaborations span European projects on high-performance networking infrastructures. Leads the Networks and Distributed Systems (ND) research group investigating fault-tolerant routing, network virtualization, and congestion control mechanisms.

• Anesthesiology
• Emergency Medicine
• Cardiopulmonary Resuscitation (CPR)
• +3 more

Eirik Skogvoll is a Professor at NTNU (Norwegian University of Science and Technology) and a pediatric anesthesiologist at St. Olav's University Hospital. He holds a leadership role as Vice Head for Research in the ISB Research group within the Faculty of Medicine and Health Sciences. His primary affiliation is with the Department of Circulation and Medical Imaging. Skogvoll's academic background includes an MD (1985), PhD (2000), and certifications in anesthesiology (1993) and pediatrics (2005). He has been actively involved in clinical work, teaching, and research at NTNU since 1994. Notably, he served as Head of the Resuscitation Committee at St. Olav's Hospital from 2008 to 2019 and was a visiting professor at the University of Pennsylvania in 2017. His research focuses on anesthesiology, emergency medicine, and cardiopulmonary resuscitation (CPR), with a particular emphasis on clinical circulatory physiology and medical statistics. He leads the Norwegian Cardiac Arrest Registry and has contributed to courses like Pediatric Emergencies and Medical Statistics in Clinical Analysis. Recent articles highlight advancements in AI-driven diagnostics (e.g., deep learning for ECG analysis), optimization of CPR techniques, and pediatric cardiac arrest epidemiology. His work bridges clinical practice and technological innovation, aiming to improve patient outcomes in critical care scenarios.

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 .

• Cybersecurity
• Critical Infrastructure Security
• Cyber-Physical Systems
• +4 more

Aida Akbarzadeh is a Senior Researcher at the Norwegian University of Science and Technology (NTNU) , specifically within the Department of Information Security and Communication Technology under the Faculty of Information Technology and Electrical Engineering . Her work focuses on cybersecurity, critical infrastructure protection, and cyber-physical systems (CPS). Research Areas: Threat modeling, digital twins for security, dependency-based risk analysis, advanced persistent threats (APT), IT/OT integration, and industrial control system vulnerabilities. Publications: Recent work includes studies on automating threat modeling, digital twin applications, APT attacks on power grids, and protocol-specific vulnerabilities (PTP, IEC 61850, IEC 60870-5-104). Collaborations: Active in interdisciplinary research with colleagues like Laszlo Erdodi, Siv Houmb, Sokratis Katsikas, and Tore Soltvedt. Labs & Groups: Member of the Critical Infrastructure Security and Resilience Group (CISaR) . Contact: aida.akbarzadeh@ntnu.no

• Mathematical Modeling
• Simulation of Machinery Systems
• Fluid Dynamics
• +6 more

Eilif Pedersen is a Professor and Program Leader for Marine Technology at the Norwegian University of Science and Technology (NTNU). He leads the Department of Marine Technology under the Faculty of Engineering. His research focuses on mathematical modeling, simulation of machinery systems, and energy-efficient solutions in marine and offshore contexts. He is actively involved in projects such as SEACo, SFI Smart Maritime, and ViProMa, emphasizing virtual prototyping and hybrid power systems. Key research areas include bond graph methodology, thermodynamic system modeling, and dynamic analysis of marine systems. Pedersen supervises numerous PhD and industrial projects, including studies on hybrid propulsion, wind turbine dynamics, and fuel cell integration. He has contributed to over 50 publications, with recent work addressing co-simulation techniques, energy conservation in marine systems, and emission reduction strategies. His expertise spans marine engines, fluid dynamics, and renewable energy applications. Collaborations with industry partners like Rolls-Royce and Kongsberg Digital highlight his commitment to bridging academic research with practical maritime challenges.

• 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

• Bigdata Cybernetics
• Hybrid Analytics / Modeling
• Artificial Intelligence and Machine Learning
• +10 more

Professor Adil Rasheed is affiliated with the Department of Engineering Cybernetics at the Faculty of Information Technology and Electrical Engineering , Norwegian University of Science and Technology (NTNU). His work focuses on integrating data-driven methods with physics-based modeling to create reliable hybrid systems for high-stakes applications. Research Interests : Bigdata Cybernetics, Hybrid Analytics / Modeling, Artificial Intelligence, Reduced Order Modeling, Computational Fluid Dynamics, Wind Energy, Autonomous Vessels, and Safe Reinforcement Learning. Digital Twin Applications : Professor Rasheed leads projects in Digital Twin technology for wind energy and smart greenhouses. His work includes autonomous marine navigation, federated learning for Industrial IoT, and predictive maintenance in offshore wind turbines using integrated data-driven models. Collaborative Efforts : He collaborates with industry partners on digital twin syncing for autonomous vessels, thermal zoning algorithms for building control, and anomaly detection in multivariate time series. His publications highlight the use of transformers, federated transfer learning, and corrective source terms in hybrid modeling.

Åste Marie Mjelve HagenView profile

Professor

• Development of language and reading
• The impact of preschool and kindergarten on children’s language development
• Strategic reading and reading comprehension
• +2 more

Åste Marie Mjelve Hagen is a Professor at the Department of Special Needs Education within the Faculty of Educational Sciences at the University of Oslo. Her work focuses on evidence-based interventions for language and reading development in children, particularly those with special educational needs. Her educational background includes: Ph.D in Educational Psychology, University of Oslo, 2012 M.A. in Educational Psychology, University of Oslo, 2005 B.A., University of Oslo, 2003 Professor Hagen's research centers on language acquisition trajectories, vocabulary development in preschool settings, strategic reading comprehension, and school-based psychological interventions. She investigates how early childhood education impacts language outcomes and develops assessment tools for at-risk populations. Her methodology frequently employs systematic reviews and randomized controlled trials to establish causal relationships in educational interventions. Analysis of her 15 most recent publications reveals dominant themes in vocabulary interventions for second language learners, long-term language prognosis studies, and writing support for students with intellectual disabilities. Her work consistently bridges theoretical linguistics with practical classroom applications, emphasizing measurable outcomes through standardized assessments and treatment-inherent metrics. She leads significant research initiatives including “Better equipped for school”, “Inference skills in children”, and “Preventing and Improving Special Needs Education in Children with Language Problems”. As a core member of the Literacy and Numeracy in Context (LiNCon) research group, she contributes to Norway's national framework for evidence-based special education practices.

Dinsha VinodView profile

Researcher

• Control Systems
• Artificial Intelligence
• Robotics
• +3 more

Dinsha Vinod is a Postdoctoral Researcher at the University of Agder, affiliated with the Department of Engineering Sciences. His research focuses on control systems, fog computing, and autonomous robotics, with a particular emphasis on integrating artificial intelligence and event-triggered control mechanisms. He has contributed to advancements in fog-cloud platforms for mobile robotics applications, model predictive control (MPC), and robust control design. Education details are not explicitly provided in the text, but his work spans academic and industrial collaborations. He is part of the Robotics and Automation research group at UiA. Key research areas include: Event-based control strategies for LPV systems Fog computing autoscaling with service guarantees MPC applications in mobile robotics Integration of AI inference into control systems Publications since 2017 reflect a trajectory from aerospace control systems to fog computing and robotics. Recent work emphasizes real-time systems and autonomous decision-making frameworks.

• High-performance Computing
• Energy-efficient Computing
• Machine Learning
• +3 more

Dr. Ngoc Nha Vi Tran is an Associate Professor of Computer Science at UiT The Arctic University of Norway. She holds a PhD from UiT and was a visiting scholar at Rutgers University, USA. Her research focuses on high-performance and energy-efficient computing, machine learning, and bioinformatics. She is a member of the NORA.startup Steering Group and leads the Arctic Green Computing Group. Education: PhD in Computer Science (UiT), M.Sc. in Software Engineering via Erasmus Mundus (Blekinge Institute of Technology, Sweden & Technical University of Kaiserslautern, Germany). Research interests include energy-efficient algorithms, bioinformatics tools (e.g., vCOMBAT), and applications of machine learning in healthcare and robotics. She teaches courses such as INF-2200 Computer Architecture, INF-2900 Software Engineering, and INF-2202 Concurrent Programming. Her work spans computational models for antibiotic target-binding, runtime energy optimization (REOH framework), and power models for embedded systems (RTHpower/ICE). She contributed to the EXCESS project on energy-efficient computing systems. Labs/Teams: Arctic Green Computing Group, EXCESS consortium.

Sigurd SkogestadView profile

Professor

• Process Control
• Systems Engineering
• Optimization
• +2 more

Sigurd Skogestad is Professor in the Department of Chemical Engineering at the Norwegian University of Science and Technology (NTNU). He serves as Program Leader for the 5-year Master program in Chemical and Biochemical Engineering. His research develops simple yet rigorous methods to solve engineering problems, focusing on self-optimizing control structures that enable near-optimal operation under varying conditions. His approach moves economic optimization from slow real-time optimization to faster control layers. Key research areas: Self-optimizing control structures Process systems engineering Multivariable feedback control Plantwide process control Distillation modeling and control He has received significant recognition including the AIChE Computing in Chemical Engineering Award and IFAC Fellow status. He leads research groups in Process Control and contributes to the SUBPRO center on subsea production.