Norwegian University of Science And TechnologyNorway
Roy Johnsen is a Professor in the Department of Mechanical and Industrial Engineering at the Norwegian University of Science and Technology (NTNU), specializing in corrosion and surface technology. With a Dr.ing. degree from NTH (1984), he has extensive industry experience from Statoil Research Centre (1985-1991) and CorrOcean (1991-2004), where he expanded the company globally. His current research focuses on hydrogen embrittlement, corrosion protection, and integrity management in offshore systems, with collaborations across Europe, Asia, and the Americas.
Andrei Kutuzov is an Associate Professor in the Language Technology Group (LTG) within the Department of Informatics at the University of Oslo. He serves as the Norwegian on-site manager of the High-Performance Language Technology (HPLT) project and has made significant contributions to computational linguistics and natural language processing. His research primarily focuses on computational linguistics and natural language processing, with specialized expertise in semantic change detection, diachronically aware language models, distributional semantics, and large language models. Kutuzov has been instrumental in developing Norwegian language resources including NorBERT, NorELMo models, and the very large-scale NORA.LLM generative models. He created WebVectors, a web service for exploring neural distribution models for Norwegian and English texts. Analysis of his recent publications reveals a strong focus on semantic change modeling, multilingual dataset development, and Norwegian language technology. His work spans from theoretical linguistic analysis to practical applications in language modeling, with significant emphasis on low-resource and Nordic languages. Kutuzov's research demonstrates a consistent trajectory toward improving language models' understanding of semantic evolution and developing robust evaluation frameworks for Norwegian language processing. Norwegian Artificial Intelligence Research Consortium (NORA) award as Distinguished Early Career Researcher (2022) Kutuzov teaches several advanced courses including IN5550 - Neural Methods in Natural Language Processing (2019-2025) and IN3050 - Introduction to Artificial Intelligence and Machine Learning (2024-2025). He has received research funding through the HPLT project which focuses on developing high-performance language technologies. His laboratory work centers around the Language Technology Group at UiO, where he collaborates on developing Norwegian language resources and models, with particular emphasis on diachronic semantic analysis and multilingual capabilities.
Tatiana Aleksandrovna Iakovleva is a Professor of Entrepreneurship Studies at the University of Stavanger (UiS), affiliated with the UiS School of Business and the Department of Innovation, Management and Marketing. She is actively engaged in research on responsible innovation, digital health, user involvement, and entrepreneurship. Her research interests include responsible innovation, digital health, user engagement in innovation, living labs, open innovation, stakeholder involvement, healthcare innovation, social innovation, and regional development. She explores how innovation can be conducted ethically and inclusively, particularly in public and healthcare sectors. Her recent publications (2020–2025) reveal a strong focus on responsible innovation in digital health, user empowerment, and collaborative innovation spaces such as living labs. Themes include stakeholder inclusion, boundary innovation spaces, patient engagement, and the role of universities in regional development. Her work spans interdisciplinary fields, combining insights from management, public health, innovation studies, and social sciences. She has collaborated extensively with researchers such as Elin Merethe Oftedal, John Bessant, Raj Kumar Thapa, and others, contributing to high-impact journals and international conferences like ISPIM and Routledge handbooks. She advises students and researchers in entrepreneurship and innovation, though specific names are not listed in the provided text. She is involved in projects related to digital health innovation, responsible research, and university-industry collaboration. She is associated with the Norwegian Smart Care Lab and participates in participatory research involving service users and professionals in mental health care. Her work emphasizes inclusive and responsible approaches to innovation, particularly in public service contexts.
Norwegian University of Science and TechnologyNorway
Ole Morten Aamo is a Professor at the Department of Engineering Cybernetics within the Faculty of Information Technology and Electrical Engineering at the Norwegian University of Science and Technology (NTNU) in Trondheim, Norway. His office is located at Elektro D/B2, D344, Gløshaugen, O. S. Bragstads plass 2, and he can be reached at aamo@ntnu.no or by phone at 73594386. Professor Aamo's research focuses on control theory with particular emphasis on partial differential equations (PDEs) and their applications in drilling engineering and the petroleum industry. His work spans multiple areas including boundary control of hyperbolic systems, adaptive control methodologies, vibration control in drilling operations, and leak detection systems for pipe networks. His research combines theoretical control developments with practical applications in the oil and gas sector, particularly addressing challenges related to stick-slip phenomena, torsional vibrations, and pressure oscillations in drilling operations. His publication record reveals a consistent trajectory of high-impact research in control systems, with a notable shift toward integrating machine learning approaches with traditional control theory in recent years. The majority of his work centers around hyperbolic PDE systems, with applications primarily in drilling engineering and fluid dynamics. His research demonstrates a strong connection between theoretical control developments and practical implementations in the petroleum industry. Professor Aamo has actively supervised multiple graduate students, as evidenced by the master's theses listed in his publication record. His work often appears in top-tier control journals including IEEE Transactions on Automatic Control, Automatica, and IEEE Control Systems Letters, as well as petroleum engineering venues like SPE Journal and ASME publications.
Per-Arne Andersen is an Associate Professor at the Department of Information and Communication Technology within the University of Agder . His research focuses on artificial intelligence , reinforcement learning , Tsetlin machines , and deep learning , with applications in real-time strategy games , industrial environments , and IoT systems . Projects: RESTORE Research Groups: CAIR - Center for Artificial Intelligence Research, CIEM - Center for Integrated Crisis Management, Intelligent Mechatronics (iTron) His work explores safe and sustainable reinforcement learning , interpretable AI , and generative environment modeling . He has developed frameworks like CaiRL and CostNet for high-performance RL environments and goal-directed learning. Recent publications include advancements in Tsetlin automaton analysis , GNSS jamming classification , and road quality detection . Articles from 2025-2016 span machine learning , computer vision , and environmental modeling . He contributes to IEEE , Springer , and LNCS publications, with a focus on interdisciplinary AI applications in crisis management , cybersecurity , and industrial optimization .
Western Norway University of Applied SciencesNorway
Hilde Stokvold Gundersen serves as an Associate Professor in the Department of Sport, Food and Natural Sciences at Western Norway University of Applied Sciences (HVL). Her academic position is based at the Bergen KRONSTAD campus where her office is located in room L215. She maintains an active research profile with multiple publications in 2024 across various sports science domains. Dr. Gundersen's research interests span multiple critical areas in sports science, with particular focus on adolescent development in athletic contexts, strength training methodologies, and aquatic safety education. Her work bridges theoretical sports science with practical applications in educational settings, especially in primary school physical education programs. She demonstrates expertise in examining physiological development markers like bone age and their relationship to athletic performance metrics. Analysis of her 2024 publications reveals a strong emphasis on practical applications of sports science research. Her work addresses gender-specific training considerations, developmental physiology in youth athletes, and safety education in aquatic environments. The publications appear in both Norwegian-language educational resources and international scientific journals including the Journal of Applied Physiology and Frontiers in Sports and Active Living, indicating both national and international scholarly impact. While specific awards are not mentioned in the available information, her publication record demonstrates active scholarly contribution to the field of sports science. Her collaborative work with researchers across different institutions suggests integration within broader research networks in exercise physiology and sports pedagogy.
Norwegian University of Science and TechnologyNorway
Stig Arve Sæther is a Professor of Sports Science at the Department of Sociology and Political Science, Norwegian University of Science and Technology (NTNU), Faculty of Social and Educational Sciences. His research focuses on talent development, elite sports, and sports psychology, with specific emphasis on transitions from junior to senior elite, stress, perfectionism, and coach-athlete relationships. He leads the research group Skill and Performance Development in Sports and School (SPDSS) and the NTNU Sports Network. Primary research areas: Talent development environments, dual careers, relative age effects, and athlete stress Ongoing projects: Female athlete development, Norwegian football club mergers, international youth football environments, senior transitions in school sports, and destructive leadership in sports Collaborations: Rosenborg Ball Club, Kristiansund Ball Club (NEAS Academy), Norwegian Handball Association, Norwegian Ice Hockey Association Editor-in-Chief: Scandinavian Journal of Sport and Exercise Psychology His recent research explores gender differences in talent environments (handball/ice hockey), parental impacts on biathlon transitions, and communication barriers around menstrual cycles in female football. With 60+ international journal articles and multiple books, his work bridges academic rigor and practical sports insights. Media presence spans 200+ TV/radio/podcast appearances (TV2 Sporten, NRK, GameChanger) and newspapers (Wall Street Journal, Aftenposten). Key students include Max Bergström (PhD) and 46+ master’s graduates. Awards not explicitly mentioned, but his editorial and research group leadership highlight institutional recognition.
Amirhosein Taherkordi is a Professor in the Networks and Distributed Systems group at the Department of Informatics, University of Oslo, Norway. His research focuses on resource-efficiency, scalability, adaptability, dependability, mobility and data-intensiveness of distributed systems for emerging computing technologies including Internet of Things (IoT), Fog/Edge/Cloud Computing, and Cyber-Physical Systems (CPS). Dr. Taherkordi received his Ph.D. from the Informatics Department at the University of Oslo under the supervision of Prof. Frank Eliassen, with his thesis titled "Programming Wireless Sensor Networks: From Static to Adaptive Models." He holds an M.Sc. in Information Technology Engineering (Software Engineering) from University of Science and Technology and a B.Sc. in Computer Engineering from Sharif University of Technology. His research spans multiple domains of distributed systems with emphasis on practical applications. He investigates energy efficiency in wireless sensor networks, communication optimization in IoT systems, and adaptive resource allocation in edge computing environments. His work addresses critical challenges in network traffic classification, federated learning for vehicular networks, and data processing across heterogeneous platforms. Analysis of his recent publications reveals a strong trajectory toward communication-efficient federated learning techniques for vehicular networks, energy-aware protocols for IoT data collection, and advanced machine learning approaches for network traffic analysis. His research consistently focuses on optimizing resource usage while maintaining system performance and privacy in distributed architectures. Dr. Taherkordi actively contributes to several research initiatives including the CPS Lab at UiO for Cyber Physical Systems, DILUTE: Fluid Service Abstraction for Large-Scale Cloud IoT Systems, and the Gemini Centre on IoT at UiO. His work bridges theoretical advances with practical implementations in transportation systems, environmental monitoring, and industrial automation.
Norwegian University of Science and TechnologyNorway
Per Gunnar Kjeldsberg is a Professor at the Department of Electronic Systems, Norwegian University of Science and Technology (NTNU), and currently serves as acting head of the institute. His research focuses on embedded heterogeneous multi-processor systems , particularly in multimedia and digital signal processing applications . He has led and participated in numerous national and international projects, including EU Horizon 2020 initiatives like READEX (as work package leader) and Tulipp (as principal researcher), and supervises the MSCA-IF project Palmera . Kjeldsberg is a Senior Member of IEEE and part of the European Network of Excellence HiPEAC . Education : Sivilingeniør (MSc) in Electrical Engineering (1992), PhD (2001) from Norwegian Institute of Technology (NTH)/NTNU His work spans energy-efficient computing , radiation-hardened memory design for space applications, and dynamic hardware management . Publications include co-authoring three books and over 150 peer-reviewed articles in journals and conferences. He leads the Circuit and Radio Systems group and drives a strategic NTNU initiative on Energy Efficient Computing Systems . Kjeldsberg has held visiting researcher roles at imec (Belgium), University of California, Irvine, imec Netherlands (Holst Centre), and University of New South Wales (Australia). Scientific Awards : Senior Member of IEEE Mikroelektronikkprisen (2006–2015)
Norwegian University of Science And TechnologyNorway
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.
**Daniel Romero** is a **Professor** in the **Department of Information and Communication Technology** at the **University of Agder**, Norway. His research focuses on UAV communications, time-series analysis using machine learning and network science, and decentralized processing for sensor networks. He holds a Ph.D. in Signal Theory and Communications from the University of Vigo (2015), an M.Sc. in Signal Theory (2011), and a Telecommunication Engineering degree (2009). **Education**: Ph.D. in Signal Theory and Communications, University of Vigo (2015) M.Sc. in Signal Theory and Communications, University of Vigo (2011) Telecommunication Engineering, University of Vigo (2009) **Research Interests**: His work spans UAV communication systems (focusing on low-latency, high-reliability networks), time-series analysis for complex systems (using ML and network science), and decentralized computation in sensor networks to improve robustness and hardware efficiency. Recent projects include radio map estimation for mmWave beam alignment, spoofing detection via graph neural networks, and aerial base station placement optimization. **Publications**: Over 30+ peer-reviewed articles in top venues like IEEE Transactions on Wireless Communications and ICC. Recent trends emphasize radio map estimation (2023–2024), UAV-enabled spectrum surveying (2022), and robust D2D communications (2022). **Advising & Grants**: Teaches PhD courses (Statistical Signal Processing, Advanced Optimization) and leads the **Advanced Signal Processing Lab (ASL)**. Collaborates with the **CIEM (Center for Integrated Emergency Management)** on crisis-related communication systems. **Labs/Teams**: Directs the Advanced Signal Processing Lab (ASL.uia.no) and contributes to CIEM, applying ML and signal processing to emergency management challenges.
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.
Eirik Keilegavlen is a Researcher at the Department of Mathematics, University of Bergen. His primary research focuses on developing mathematical models, numerical methods, and simulation tools for multiphysics processes in porous media, particularly in geothermal energy, CO 2 storage, and subsurface energy systems. He leads the development of the open-source software PorePy, designed for simulating processes in fractured porous media. His work emphasizes coupled problems involving fluid flow, heat transfer, and mechanical deformation. Key research interests include: Mathematical modeling of coupled thermal-hydro-mechanical processes Numerical discretization methods for fractured media Development of open-source simulation tools Applications in geothermal energy extraction and carbon sequestration Recent publications highlight advancements in: Uncertainty quantification for CO 2 leakage Viscous fingering in fractured reservoirs Automated solver selection for multiphysics systems Collaborations involve interdisciplinary teams addressing challenges in geothermal reservoir stimulation, fault mechanics, and high-performance computing. His work bridges theoretical developments with practical applications in energy and environmental systems.
Sophie Steenstrup is an Associate Professor at Oslo Metropolitan University's Faculty of Health Sciences, Department of Rehabilitation Science and Health Technology – Physiotherapy. Her research focuses on sports injury prevention, biomechanics, and emergency response protocols in extreme sports. Specializes in head trauma epidemiology in skiing, snowboarding, and football Develops community CPR/AED training programs (e.g., "Saving lives together in sport" pilot) Collaborates with FIS, IOC, and Norwegian sports organizations Expert in video analysis of injury mechanisms Her work includes biomechanical analysis of head impact velocities, regulatory impact assessments for ski equipment, and feasibility studies for post-concussion exercise therapy. She contributes to international sports safety conferences and Norwegian dissemination projects.
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.
