Mahdi Kioumarsi is a professor at the Department of Building and Energy Engineering, OsloMet — Norway's metropolitan university. His research focuses on structural analysis, sustainable building materials, and numerical modeling, positioning him as a leading expert in concrete materials and structures. He leads the Structural Engineering Laboratory (SEL) and SmartMet lab for infrastructure monitoring, while contributing to the Digital and Sustainable Construction (DiSCo) research group. Structural analysis and finite element methods Concrete durability and corrosion Machine learning applications in construction Seismic and material behavior His recent publications focus on alkali-activated materials, geopolymer concrete optimization, and sustainable ultra-high performance concrete. Scientific recognitions include an OsloMet Research Talent Development Program scholarship (2020), editorial board memberships, and fellowships in international journals. He actively collaborates on regional/national/international projects and contributes to industry-academia knowledge exchange.
Kristian Wold serves as a Research Fellow within the Department of Information Technology at the Faculty of Technology, Art and Design, Oslo Metropolitan University, specializing in Artificial Intelligence with a strong foundation in Physics and theoretical computing disciplines. His institutional affiliation reflects a strategic positioning at the intersection of technology and theoretical research within Norway's academic landscape. Wold's research program centers on Quantum Computing and Quantum Technology, with deep engagement in Theoretical Computer Science, Physics, and Programming Languages. His scholarly trajectory demonstrates a deliberate bridging of abstract quantum theory with tangible industrial implementation, particularly evident in his focus on translating quantum algorithms into real-world applications while addressing systemic challenges in noise characterization and circuit optimization. This dual emphasis on foundational physics and practical engineering positions him as a critical contributor to Norway's emerging quantum ecosystem. Analysis of his recent publications reveals a clear evolution from technical quantum computing research (2022) toward broader national strategic considerations (2025), indicating growing engagement with policy frameworks and infrastructure development. His work consistently addresses the critical transition from theoretical quantum models to deployable industrial solutions, with particular attention to Norway's unique position in the global quantum race. The thematic progression shows increasing sophistication in connecting quantum hardware limitations with real-world adoption barriers. As an active research disseminator, Wold contributes to key Norwegian scientific platforms including Tekna and OsloMet publications, demonstrating commitment to knowledge transfer between academic research and industrial application sectors within Norway's technology landscape.
Federica Ghione is a Doctoral Research Fellow at the Department of Geosciences , University of Oslo , and a seismologist at NORSAR (Kjeller, Norway). She is currently pursuing a 4-year PhD project titled GeobyIT/Geodata-based Machine Learning for real-time urban risk reduction systems , funded through a collaboration between NORSAR, NGU, UiO, and the Municipality of Oslo. Seismic hazard Seismic risk Geohazards Machine learning for urban risk reduction Her research focuses on seismic hazard and risk assessment, particularly in Norway and Svalbard. She integrates geodata with machine learning techniques to model urban risk reduction systems in Oslo and explores hybrid probabilistic models for seismic hazard in tectonically complex regions like Northeast India and Bhutan. Her work combines distributed seismicity analysis with finite fault modeling. Notable publications include studies on earthquake hazards in Norway, Vs30 estimation methodologies for the Oslo area, and building stock classification using machine learning algorithms. These contributions highlight her expertise in seismology, geophysical modeling, and data-driven approaches to urban safety. She holds qualifications from the University of Pavia , including a Master’s in Applied Geological Sciences and a Bachelor’s in Geological Sciences. Her professional activities are centered at both the Geologibygningen (Oslo) and NORSAR (Kjeller).
Jo Arve Alfredsen is a Professor at the Department of Engineering Cybernetics, Norwegian University of Science and Technology (NTNU), where he has worked since 2004. His research focuses on applying automation, mathematical modeling, and sensor systems to enhance marine production and aquaculture technologies. He coordinates the Fisheries and Aquaculture Systems research group and teaches courses including industrial computer systems design and fish telemetry. PhD in Engineering Cybernetics, NTNU MSc in Engineering Cybernetics, NTNU Alfredsen's research integrates systems biology with cybernetic principles to develop advanced monitoring and control systems for marine environments. His work addresses challenges in aquaculture through numerical simulations, telemetry technology, and sensor network design, aiming to optimize fish welfare and production efficiency. Recent publications demonstrate expertise in underwater robotics, fish behavior analysis, and environmental monitoring. Key topics include wave-propelled unmanned vehicles, dissolved oxygen modeling, and telemetry-based stress indicators. All 15 most recent articles focus on marine automation, sensor integration, and aquaculture optimization. He has developed specialized tools for feed distribution analysis, fish health monitoring, and current flow assessment, contributing to precision aquaculture frameworks. His team's work on acoustic telemetry systems and biometric sensors has advanced real-time monitoring capabilities in commercial marine farms.
Etor Arza Gonzalez is a Postdoctoral Fellow at the Norwegian University of Science and Technology (NTNU), affiliated with the Department of Technical Cybernetics and the Department of Language and Literature. His research focuses on Statistics and Optimization, with applications in algorithm runtime prediction, policy search, and random variable analysis. He develops open-source tools like RVCompare (random variable comparison), RTDHW (CPU runtime prediction), and GESP (early stopping for policy search), primarily in R, C++, and Python. Contact: etor.arza@ntnu.no
Erlend Andreas Basso is a postdoctoral researcher at the Department of Technical Cybernetics, Faculty of Information Technology and Electrical Engineering, Norwegian University of Science and Technology (NTNU). His research focuses on applying Control Theory , Marine Cybernetics , and Robotics to develop advanced control systems for autonomous vehicles and robotic manipulators. Academic Affiliation: Norwegian University of Science and Technology (NTNU) Department: Technical Cybernetics Research Focus: Autonomous navigation, safety-critical control, and hybrid feedback systems for marine and aerial vehicles Basso's work bridges Feedback Control , Optimal Control , and Autonomous Systems through mathematical modeling and algorithm development. His publications demonstrate expertise in 3D Guidance Systems , Sliding Mode Control , and Task-Priority Frameworks , with applications in underwater robotics, collision avoidance, and marine vehicle autonomy. Recent trends in his Google Scholar profile show increasing emphasis on Machine Learning Integration for control systems, Reinforcement Learning for path optimization, and Safety-Critical Systems in maritime environments. His collaborations with researchers at NTNU and international institutions reflect cross-disciplinary approaches to Marine Technology and Underwater Localization . For contact, his primary email is erlend.a.basso@ntnu.no . His GitHub profile includes technical repositories related to embedded systems, multirotor dynamics, and OSQP quadratic programming solvers.
Bjørn Andreas Kristiansen is a Postdoctoral Fellow at the Department of Technical Cybernetics, NTNU Small Satellite Lab, Norwegian University of Science and Technology (NTNU). His research focuses on optimization of satellite operations, particularly for small satellites and hyperspectral imaging missions like HYPSO-1. His educational background includes: Doctorate (PhD) in Technical Cybernetics from NTNU (2023), with thesis titled "Energy and Time Optimal Spacecraft Attitude Control and Operations" Master of Technology (Civil Engineering) in Cybernetics and Robotics from NTNU (2014-2019), specializing in autonomous systems Kristiansen's research centers on spacecraft attitude control, satellite operations, and optimal control theory. He investigates energy/time optimization for spacecraft maneuvers, with applications in solar-powered satellites, magnetorquer actuation, and thruster-based systems. His work bridges theoretical control methods with practical small satellite technology, emphasizing in-orbit validation and agile maneuvering for Earth observation missions. Analysis of his 2021-2024 publications reveals a cohesive research trajectory focused on advancing satellite operational efficiency. Key themes include hands-off control strategies, slew maneuver accuracy validation for HYPSO-1, and energy-optimal task execution. His work consistently addresses real-world constraints through magnetorquer limitations, power availability, and imaging requirements, demonstrating strong industry-academia collaboration with Space Norway and ESA. No scientific awards were mentioned in the provided text. Kristiansen actively supervises master's students, proposing seven thesis topics for fall 2025 covering super-agile satellite operations, fault detection, re-entry control, and high-accuracy attitude determination. He collaborates with StatSat (Space Norway) for ESA on HYPSO-related projects and served as a research assistant for TTK4100 Cybernetics Introduction from 2020-2023. As ADCS group leader for the HYPSO project since 2021, he leads the Attitude Determination and Control System development within the NTNU Small Satellite Lab. His team handles in-orbit characterization, maneuver validation, and imaging optimization for the HYPSO-1 CubeSat mission, contributing to Norway's growing small satellite capabilities in Earth observation.
Bogdan Løw-Hansen is a PhD research fellow at the Norwegian University of Science and Technology (NTNU) , affiliated with the Department of Engineering Cybernetics and the NTNU UAV Icing Lab . His work focuses on modeling and system identification for fixed-wing UAVs operating in icing conditions, including propulsion system analysis and fault detection algorithms. Education: M.Sc. in Cybernetics and Robotics (NTNU) Collaborators: Richard Hann (NTNU), Tor Arne Johansen (NTNU), Christoph Deiler (DLR), Bård Stovner (UBIQ Aerospace) Research Trends: Recent publications emphasize UAV icing mitigation, propulsion system identification, and aerodynamic modeling. Key collaborations include DLR and UBIQ Aerospace, with methodological focus on time-domain system identification, electrothermal de-icing systems, and fault detection algorithms. Teaching: Bogdan contributes to TTK4190 - Guidance, Navigation, and Control of Vehicles , supervising student assignments and providing guidance in control systems. Publications: Highlights include 2025 work on UAV dynamics modeling, 2024 studies on propulsion system identification, and 2023 surveys of ice detection methods. Keywords span aerospace engineering, system identification, and fault detection.
Amer Orucevic is a Postdoctoral Fellow in the Department of Technical Cybernetics at the Norwegian University of Science and Technology (NTNU). His research focuses on advanced control systems for underwater snake robots, particularly in stability analysis, path following, and optimization in fluid dynamics environments. Key collaborators: Kristin Y. Pettersen, Jan Tommy Gravdahl, Marianna Wrzos-Kaminska, Mads E. B. Lysø Active research areas: Nonlinear control, extremum-seeking algorithms, vector field navigation Scientific Contributions: Recent publications address practical stability frameworks, vortex wake interactions, and sinusoidal gait tracking. Collaborative work spans IEEE Transactions on Control Systems Technology, IFAC-PapersOnLine, and conference proceedings.
Morten Dinhoff Pedersen is an Associate Professor at the Norwegian University of Science and Technology (NTNU), affiliated with the Department of Technical Cybernetics. He holds a Master of Science in Technical Cybernetics and a Ph.D. in wind turbine modeling and control technology from NTNU. His research spans Control Engineering , Wind Energy Systems , and Biomedical Applications . Education : MSc in Technical Cybernetics, NTNU; Ph.D. in Wind Turbine Control, NTNU Key Research Areas : Wind turbine dynamics, cybernetic control systems, real-time structural modeling, and haptic feedback for arthroscopic surgery Publications : 15 most recent works focus on multirotor wind turbines, biomedical modeling, and cybernetic systems. Broad keywords include Wind Energy, Control Engineering, and Biomedical Engineering. Email : morten.d.pedersen@ntnu.no
Dirk Peter Reinhardt is a Postdoctoral Fellow in the Department of Technical Cybernetics at the Norwegian University of Science and Technology (NTNU), Faculty of Information Technology and Electrical Engineering. His research focuses on advanced control systems for unmanned aerial vehicles with particular expertise in nonlinear model predictive control and reinforcement learning applications. Dr. Reinhardt's research spans several key areas in control engineering: Nonlinear Model Predictive Control (NMPC) for UAV flight systems Reinforcement Learning applications in flight control UAV attitude and path-following control systems Flight dynamics modeling and system identification Embedded control systems for autonomous aircraft Sensor calibration and wind tunnel testing His publication record from 2019-2024 demonstrates a progression from fundamental control theory to increasingly complex real-world applications, with numerous field experiments validating theoretical approaches. Dr. Reinhardt frequently collaborates with researchers at NTNU, particularly with Tor Arne Johansen and Sebastien Nicolas Gros, and has published in top venues including IEEE Transactions, IFAC World Congress, and International Conference on Unmanned Aircraft Systems. Dr. Reinhardt's laboratory work involves extensive flight testing of fixed-wing UAVs, including the Skywalker X8 platform, with a focus on validating control algorithms under various conditions including challenging scenarios like icing conditions. His recent research shows growing interest in data-efficient learning methods and robust control for adverse flight conditions.
Henrik Schmidt-Didlaukies is a postdoctoral fellow at the Department of Technical Cybernetics , Norwegian University of Science and Technology (NTNU). His research focuses on advanced control systems for marine and aerial vehicles, including hybrid feedback, adaptive algorithms, and safety-constrained navigation. Current affiliation: NTNU, Department of Technical Cybernetics Research areas: Control Systems, Robotics, Autonomous Navigation Contact: henrik.schmidt@ntnu.no His recent work includes 3D path-following for autonomous vehicles, Kalman filtering for inertial navigation, and reinforcement learning for marine guidance. Publications in IEEE and IFAC journals highlight his contributions to impedance control, cooperative transport, and bearing-based localization. Key subfields: Adaptive control, underwater robotics, multirotor tracking, and extremum-seeking optimization.
Fred Sigernes serves as an Adjunct Professor at the Norwegian University of Science and Technology (NTNU), conducting research at the Kjell Henriksen Observatory in Longyearbyen, Svalbard (78.1°N, 16.0°E). His work bridges auroral physics, atmospheric science, and advanced optical instrumentation development for both ground-based and space applications. His research focuses on hyperspectral imaging technology for auroral and atmospheric studies, including the design of low-cost "do-it-yourself" systems and CubeSat-based ocean color monitoring. Key areas include auroral dynamics analysis, thermospheric helium emissions during geomagnetic storms, and calibration techniques for optical sensors operating in visible/near-infrared spectra. Recent work emphasizes practical instrumentation solutions for polar region observations and Earth observation from space. Analysis of his 2021-2025 publications reveals three dominant research threads: (1) Development of hyperspectral imagers for auroral and ocean color applications, (2) Calibration methodologies for airborne and spaceborne sensors, and (3) Multi-instrument studies of auroral phenomena using the Kjell Henriksen Observatory. His work consistently demonstrates innovation in making advanced imaging technology accessible through cost-effective designs. No scientific awards were documented in the provided information. While specific advising roles aren't detailed, his publications show extensive collaboration with researchers from the University Centre in Svalbard, Norwegian Mapping Authority, and international institutions. Grant funding isn't explicitly referenced, though involvement in CubeSat missions like HYPSO-1 implies participation in funded space projects. Sigernes is integral to operations at the Kjell Henriksen Observatory, a premier facility for auroral research in the Arctic. He contributes significantly to the HYPSO-1 CubeSat mission for ocean color remote sensing and has developed specialized instrumentation including the NIRAS-2 spectrometer for thermospheric studies. His team frequently collaborates on international campaigns involving incoherent scatter radar and multi-spectral imaging systems.
Rune Storvold serves as an Associate Professor at the Norwegian University of Science and Technology (NTNU), with primary research activities centered at Gløshaugen campus in Trondheim. His work focuses on unmanned aerial systems for environmental monitoring in extreme polar environments, with significant contributions to Arctic observing infrastructure including the Svalbard Integrated Arctic Earth Observing System (SIOS) and Troll Observing Network in Antarctica. His research expertise spans Unmanned Aerial Systems (UAS), remote sensing, and Earth observation technologies specifically adapted for polar conditions. Key contributions include developing practical guidelines for scientific drone operations in Svalbard, advancing path planning algorithms for battery-powered UAVs in icing conditions, and pioneering applications in diverse fields from marine fauna monitoring to reindeer herding. His interdisciplinary approach bridges aerospace engineering with environmental science to solve unique challenges in remote and harsh climates. Analysis of his 15 most recent publications reveals a consistent focus on operationalizing drone technology for polar science, with increasing emphasis on integrated observing systems (2023-2025), autonomous control systems (2019-2021), and specialized environmental applications across Arctic and Antarctic contexts. His work demonstrates strong technical innovation in UAV capabilities while maintaining direct relevance to urgent climate monitoring needs. Storvold actively collaborates with international polar research initiatives including the Arctic Monitoring and Assessment Program (AMAP) and SIOS, contributing to major infrastructure projects like InfraNor. His current work at NTNU's SIVA Innovation Center focuses on translating drone technology into practical environmental monitoring solutions for both scientific and indigenous communities in northern regions.
Jon Are Wold Suul serves as an Associate Professor II at the Department of Technical Cybernetics within the Faculty of Information Technology and Electrical Engineering at the Norwegian University of Science and Technology (NTNU). He also maintains a dual role as a researcher at SINTEF Energy, specifically at the Gløshaugen campus. His academic appointment focuses on control of maritime power conversion systems, bridging theoretical research with practical applications in energy systems. Dr. Suul earned his PhD from NTNU's Department of Electrical Power Engineering, establishing a strong foundation in power systems and control theory that informs his current research trajectory. His educational background has positioned him at the intersection of electrical engineering and cybernetics, with particular expertise in power electronics applications. Dr. Suul's research spans multiple critical areas in modern power systems, with particular emphasis on power electronics control and energy conversion systems . His work addresses fundamental challenges in grid stability through advanced control of virtual synchronous machines and power oscillation damping. He has made significant contributions to wireless power transfer technologies, particularly for electric vehicle charging applications, where his research on inductive power transfer systems has advanced efficiency and reliability under varying coupling conditions. His maritime power conversion research supports the electrification of shipping through innovative shore-to-ship charging solutions. Analysis of Dr. Suul's recent publications reveals a strong focus on power system stability in the context of increasing power electronic interfaced generation. His work bridges theoretical control methods with practical power system applications, particularly in grid-forming converter technologies, wireless power transfer systems, and maritime electrification. The research demonstrates consistent innovation in control algorithms for power electronic converters, with growing emphasis on system-level integration challenges as renewable energy penetration increases. Dr. Suul actively supervises graduate students, with documented master's thesis supervision in areas including drone propulsion systems and electric motor control. His collaborative research approach is evident through extensive co-authorship with colleagues from NTNU, SINTEF, and international institutions. While specific grant information isn't detailed in the provided text, his productive publication record across multiple journals suggests successful research funding. Through his dual affiliation with NTNU and SINTEF Energy, Dr. Suul operates within a robust research ecosystem focused on energy conversion technologies. His work with SINTEF Energy at Gløshaugen provides access to advanced laboratory facilities for testing power electronic systems, while his academic position enables training of next-generation engineers in these critical technologies.
