Find Academic Supervisors

• Industrial Crystallization
• Biomaterials
• Sustainable Materials
• +3 more

Jens-Petter Andreassen is Professor and Head of Department at NTNU's Department of Chemical Engineering. His research specializes in industrial crystallization processes, sustainable materials development, and biomaterial applications. Key research areas include precipitation mechanisms, nanocomposite design, and biopolymer functionalization for medical applications. His work focuses on: Fundamental crystal growth mechanisms Nanoparticle synthesis and characterization Alginate-based biomaterials for cell therapy Sustainable resource recovery processes Recent publications demonstrate innovative approaches to controlling material properties at multiple scales - from nanoparticle morphology to macroscopic hydrogel behavior. Significant contributions include developing encapsulation technologies for medical applications and sustainable crystallization processes for wastewater treatment. He maintains extensive collaborations with industry partners and research institutions worldwide.

Ioannis TheodoridisView profile

Research Fellow

• Music Education
• Musician Health
• Health Sociology
• +4 more

Ioannis Theodoridis is a Research Fellow at the Norwegian Academy of Music (Department of Music Education and Music Therapy). His PhD research focuses on physical struggles among music students, integrating systems theory, motor control, health sociology, and occupational health perspectives. He employs interdisciplinary methods including motion capture, muscle readings, and mixed-methods approaches to investigate the interplay between physical well-being and musical education. Supervised by Professor Siw Graabræk Nielsen and Dr. Martin Warner (University of Southampton), his work addresses gaps in understanding how physical skills are learned and maintained in music education. Key research areas include health discourses, embodied learning, and injury prevention in higher music education contexts. He has contributed to projects such as the International Student Survey on Musicians' Health (2024–2025) and the CERM-funded study on physical struggles in music students. His publications span topics from conference meta-perspectives to biomechanical analyses, reflecting a commitment to both practical and theoretical contributions. Notably, his research challenges traditional 'healthy/injured' dichotomies to foster holistic pedagogical approaches.

Birte Johanne SjursnesView profile

Associate Professor

• Analytical Chemistry
• Organic Chemistry
• Biomedical Education
• +3 more

Birte Johanne Sjursnes is an Associate Professor at the Department of Nursing, Health and Laboratory Science, University of Eastfold. She specializes in Analytical and Organic Chemistry with a focus on biomedical education. Her teaching includes courses such as General Chemistry, Organic Chemistry and Biochemistry, and Chemistry for Engineers. Her research spans enzymology, particularly enzyme catalysis in non-aqueous systems, and analytical methodologies like polarimetry and thin-layer chromatography. She has collaborated extensively with Prof. Lise Kvittingen on projects addressing chemical education and instrumentation design. Her academic journey includes a PhD from NTNU (1994) on lipase-catalyzed reactions, followed by postdoctoral work at the University of Strathclyde. She held roles as a research scientist at Borregaard and contributed to EU-funded projects exploring biocatalysis. Recent publications (2021–2025) challenge conventional views on limonene chemistry while advancing analytical techniques. She advocates for accessible instrumentation through self-constructed devices for educational use. Key contributions include demonstrating polarimeter and UV-photometer designs using low-cost materials. Her work bridges fundamental chemistry research with practical applications in biomedical education and industrial enzymology.

Ole Jakob ElleView profile

Professor

• Artificial Intelligence
• Robotics
• Medical Imaging
• +5 more

Ole Jakob Elle is a Professor II at the University of Oslo's Department of Informatics, affiliated with the Research Group for Robotics and Intelligent Systems (ROBIN) and the Strategic Research Initiative in Multimodal Medical Imaging and Image Analysis (MEDIMA). His work focuses on advancing medical robotics, computer-aided surgery, and AI-driven solutions for healthcare. Key areas include cardiac monitoring, holographic surgical planning, and robotic systems for minimally invasive procedures. Research interests span artificial intelligence, medical imaging, surgical navigation, and adaptive systems. Notable contributions include developing HoloPatch for intracardiac surgery planning and algorithms for real-time echocardiography guidance. His interdisciplinary approach integrates robotics, computer vision, and clinical applications to enhance surgical precision and patient outcomes. Publications highlight advancements in neural networks for valve detection, mixed reality applications in surgery, and AI-based medical data structuring. Collaborations involve clinicians, engineers, and computer scientists to address challenges in cardiac defects, laparoscopic surgery, and remote medical mentoring. Elle’s work is published in journals like Scientific Reports , European Heart Journal , and Computer Methods and Programs in Biomedicine , reflecting his impact on translational medical research and technology development.

Øystein HaugenView profile

Professor

• Cyber-Physical Systems
• Modeling Languages
• Software Engineering
• +7 more

Øystein Haugen is a Professor at the Department of Computer Science and Communication at Høgskolen i Østfold (HiØF), Norway. He specializes in Cyber-Physical Systems (CPS), Modeling Languages (e.g., UML/SysML), and Software Engineering. His work focuses on standardization efforts for modeling languages (ITU/OMG), variability modeling, and real-time systems. Haugen has led EU projects like Productive4.0 and Arrowhead Tools, emphasizing Industrial IoT and digital twin technologies. He co-chaired MODELS 2010 and currently contributes to SysML v2 development. Collaborations include SINTEF Digital, University of Oslo, and Luleå Technical University. Research Interests : Cyber-Physical Systems & IoT Model-Driven Engineering Software Product Line Engineering Formal Methods in Systems Design Standardization of Modeling Languages (SDL/MSC/UML/SysML) Industrial Applications of CPS (Manufacturing, Automation) Recent Article Trends : His 2020-2024 work emphasizes CPS applications, digital twin evolution, industrial IoT interoperability, and imitation learning in manufacturing automation. Key areas include model-based debugging, energy-efficient IoT networks, and autonomic service orchestration in industrial systems. Grants/Projects : Led EU ECSEL projects Productive4.0 (smart manufacturing) and Arrowhead Tools (IoT middleware). Active in standardization through OMG committees and ITU. Recent contributions include WP leadership in EU Horizon projects focusing on industrial digitalization. Labs/Teams : Leads the CPS Research Group at HiØF. Involved in the Arrowhead Tools consortium and Productive4.0 industrial partnerships (Jotne, Prediktor, Unger Fabrikker).

• Energy Conversion Systems
• Distributed Energy Resources (DER)
• Battery Storage Systems
• +4 more

Nicolae Lucian Mihet is a **Full Professor in Energy Technology** at **Østfold University College, Norway**, affiliated with the Faculty of Information Technology, Engineering and Economics. His academic journey includes roles as Associate Professor (2008–2016) at Politehnica University of Timisoara, Romania, and Research Scientist at Danish Technical University (DTU) and Aalborg University in Denmark. He holds a PhD in Electrical Engineering from Politehnica University of Timisoara. **Research Interests**: Focuses on energy conversion systems, distributed energy resources (DER), smart grids, battery storage systems (BSS), and power electronics. His work emphasizes modeling, simulation, and control of renewable energy systems, including wind turbines, photovoltaics, and EV integration. **Publications**: Authored over 200 papers, 12 books, and guest-edited 5 special issues in journals like *IEEE Transactions* and *Energies*. Key contributions include wind turbine modeling (2004 IEEE award-winning paper), smart grid technologies, and wireless EV charging systems. **Awards**: 2021 Best Researcher Award at Østfold University College; 2005 IEEE IAS Transactions Second Prize Paper Award. **Grants & Projects**: Led 25+ projects, including 6 EEA/ Norway Grants. Coordinates the Master’s Program in Green Energy Technology and manages the *Intelligent Control of Energy Conversion and Storage Systems* lab. Supervised over 100 students and co-advised 3 PhDs. **Collaborations**: Partners with universities in Denmark, Germany, Italy, and Canada. Industry collaborations include ABB, Danfoss, and DONG Energy.

Runa Berg ØstbyView profile

Associate Professor

• Organic Chemistry
• Analytical Quality Management
• Microreactor Technology
• +5 more

Runa Berg Østby is an Associate Professor at the Department of Nursing, Health and laboratory science at Høgskolen i Østfold (HiOFS). Her academic background includes a PhD in organic chemistry from The Norwegian University of Life Sciences (NMBU). She collaborates with Professor Yngve Stenström's research group at NMBU and participates in the Methods of Teaching for Student Active Learning (UMSAL) research group. Her research interests focus on organic chemistry synthesis of biologically active compounds (e.g., pheromones and pharmacological agents), analytical quality management in healthcare laboratories, and innovative methods like microreactor technology and microwave-assisted synthesis. She teaches courses in statistical analysis, medical biochemistry, and laboratory quality systems. Her publications span organic synthesis methodologies, natural product chemistry, and flow chemistry applications. Notable works include studies on lignan/terpenoid accumulation in Norway spruce and dibromocyclopropanation reactions using flow systems.

Hasan OgulView profile

Associate Professor

• Computational Intelligence
• Health Informatics
• Bioinformatics
• +2 more

Hasan Ogul is an Associate Professor at the Department of Computer Science and Communication, Østfold University College. His research focuses on computational intelligence applied to health informatics, bioinformatics, text mining, and sensor data processing. He has held academic roles including a previous professorship at Baskent University's Department of Computer Engineering and a postdoc at Aalto University. His work spans interdisciplinary projects like AI4AfL (Artificial Intelligence for Assessment for Learning) and contributions to machine learning applications in medical diagnostics and bioinformatics. He is the author of multiple peer-reviewed articles and conference proceedings, with a strong emphasis on generative models, sensor data analysis, and computational biology. Education: PhD from Middle East Technical University (Turkey), postdoc at Helsinki University of Technology/Aalto University. Current courses include Digitalisation and Society (PhD level) and Evolutionary Computation (Master's level). Key Projects: AI4AfL aims to enhance learning through AI-driven assessment tools. His research groups focus on machine learning and its societal applications. He has contributed to conferences like IEEE SAMI and CBMS, showcasing work on infection prediction, microRNA targeting, and speech recognition systems. Publications: Over 30 peer-reviewed articles since 2018, covering topics from protein structure prediction to lecture video segmentation and breast cancer drug development. His work frequently appears in journals like Expert Systems with Applications, IEEE Access, and Sensors.

Roland OlssonView profile

Associate Professor

• Machine Learning
• Automatic Programming
• Artificial Neural Networks
• +3 more

Roland Olsson is an Associate Professor at the Department of Computer Science and Communication, Oslo and Akershus University College of Applied Sciences (HIOF). He holds a doctorate from the University of Oslo (UiO) and previously served as an Associate Professor at Chalmers University of Technology in Gothenburg, Sweden. His research focuses on machine learning, automatic programming, and algorithm design through large-scale combinatorial search, particularly via his ADATE system. Olsson’s work emphasizes meta-machine learning, including the automatic design of neural network architectures. His research group explores applications in image processing, symbolic regression, and optimization. Key areas include improving algorithms for edge detection, oil well event prediction, and real-time CNC machine control through imitation learning. Publications span domains like evolutionary computation, industrial informatics, and smart grids. His work frequently appears in journals like IEEE Open Journal of the Industrial Electronics Society and conferences such as IEEE International Conference on Big Data and Smart Computing. Though no specific awards are listed, his contributions to automatic programming and machine learning algorithms are widely recognized in the academic community. Olsson’s advising and grant involvement is implied through collaborative projects with industry partners (e.g., CNC machine operators, oil well monitoring). He leads the Machine Learning group at HIOF and teaches courses in machine learning. His research extends to interdisciplinary applications, including IoT architectures for smart grids and healthcare activity recognition.

Olav AakerView profile

Associate Professor

• Alternative energy
• Battery technology
• Mechanical engineering
• +5 more

Olav Aaker is an Associate Professor at the Department of Engineering at Østfold University College (now part of Høgskolen i Østfold/HIOF), located in Fredrikstad, Norway. His academic roles include serving as Program Coordinator for Mechanical Engineering and Chair of the Departmental Board of Engineering. He holds a PhD in Process Automation and has extensive professional experience in both academia and industry, including research fellowships at Telemark University College/NTNU and SINTEF MARINTEK. His research interests span Alternative Energy, Battery Technology, Mechanical Engineering, Control Engineering, Production Technology, LNG Utilization, and Stirling Engines. Key projects include collaborations with Beijing Jiaotong University and Hebei Geo University, focusing on energy recovery systems and sustainable technologies. Aaker's work emphasizes innovative approaches to energy storage, such as thermo-mechanical systems challenging traditional battery solutions, and the integration of LNG heat recovery with desalination processes. His publications highlight contributions to flow boiling performance analysis, osmotic energy systems, and computational studies of electromagnetic motors. Notable works include studies on geothermal energy in Norway and exergy recovery in LNG evaporators. Aaker has also explored micro-power generation and material recycling in construction, reflecting his broad expertise in sustainable technologies. Awarded no specific scientific awards are listed, but his active involvement in research groups like Green Energy and collaborative projects underscores his academic impact. He advises no formal students in the provided texts, but his interdisciplinary work likely involves student collaborations in energy and mechanical systems.

• Autonomous Systems
• Interaction Design
• Human-Computer Interaction
• +4 more

Ole Andreas Alsos is a Professor at the Department of Design and Head of the NTNU Shore Control Lab within the Faculty of Architecture and Design at NTNU. His work focuses on interaction design, autonomous systems, and human-centered technology. He holds a Master of Science and PhD in Computer Engineering and Information Science. Research interests include autonomous ships, user experience (UX) design, maritime technology, and health informatics. Key projects involve the milliAmpere autonomous ferry prototype and shore control systems for unmanned vessels. He has supervised numerous master’s theses on topics like modular operator stations and UX in autonomous systems. Publications span autonomous vehicle design, human-AI interaction, and maritime safety. His interdisciplinary approach bridges engineering, design, and human factors to advance technology that prioritizes user needs and safety. Labs and collaborations include the NTNU Shore Control Lab, focusing on land-based control of autonomous ships and innovative interfaces for maritime operations.

• Railway Engineering
• Structural Engineering
• Transportation Systems
• +3 more

Albert Lau is an Associate Professor at the Department of Civil and Environmental Engineering, Norwegian University of Science and Technology (NTNU), within the Faculty of Engineering. His research focuses on railway engineering, structural dynamics, and transportation systems. He coordinates the Master’s program in Road, Railway, and Transportation Engineering and leads the MeTinT (Measurement with Train in Regular Traffic) and FutuRe (Innovative Rail Services) research groups. Education: PhD in Civil Engineering from NTNU (2018), MSc Structural Engineering from University of Leeds (2013), BEng in Civil and Structural Engineering from University of Leeds (2010). Research interests include railway track design, train-track dynamic modeling, infrastructure monitoring, and sustainable transportation systems. Recent work emphasizes digital twin applications, machine learning for infrastructure analysis, and PS-InSAR techniques for ground displacement monitoring. His publications span over 30 peer-reviewed articles, covering topics like automated train operations, remote driving systems, and railway catenary condition monitoring. Teaching includes courses such as TBA4225 Railway Engineering, BA6054 Fundamental Railway Maintenance, and supervising over 20 master/PhD students. He has coordinated Norway-China collaboration projects and led village learning programs in railway engineering education.

• Structural Dynamics
• Railway Engineering
• Structural Health Monitoring
• +7 more

Anders Rønnquist is a Professor and Head of the Department of Structural Engineering at NTNU's Faculty of Engineering. His research focuses on structural dynamics, railway infrastructure, and timber structures, with emphasis on reliability, safety, and innovative monitoring techniques. Collaborations include KTH Stockholm, University of Porto, and industry partners like Elektromotus and Vilnius-based entities. Research Interests Dynamic behavior of railway catenary systems and bridges Structural health monitoring using advanced sensors and machine learning Timber frame dynamics and connection stiffness modeling Wind-structure interaction in long-span bridges Conceptual form-finding in architectural engineering Recent Research Trends Recent work emphasizes data-driven approaches: Kalman filters for crosswind load estimation, deep learning for structural defect detection, and surrogate models for pantograph-catenary systems. Studies also address long-term monitoring of timber buildings and fatigue reliability of railway bridges under evolving traffic conditions. Education & Teaching Coordinates the Teknostart Master's program in Civil & Environmental Engineering. Teaches advanced courses in structural dynamics, steel structures, and railway catenary systems at NTNU. Active in interdisciplinary education bridging structural engineering and architecture. Research Groups Structural Dynamics Group Conceptual Structural Design Group

• Sustainability
• Environmental Management
• Life Cycle Analysis
• +7 more

Dr. Annik Magerholm Fet is a Professor of Systems Engineering at NTNU in Ålesund, specializing in sustainability, environmental management, and life cycle analysis. She has held leadership roles including Vice-Rector at NTNU Ålesund (2017-2023) and Director of NTNU's Sustainable Development strategic area (2014-2016). Her academic background includes a PhD in Systems Engineering from NTNU. She has extensive international collaboration experience, leading projects like the EU's CapSEM initiative, and has authored/co-edited works such as *Business Transition: A Path to Sustainability - the CapSEM Model*. Her research focuses on sustainability transitions, circular economy, industrial ecology, and policy frameworks. She has contributed to initiatives like environmental product declarations (EPDs) and served on boards of organizations including SDSN Northern Europe, Polaris Media Nordvest, and the Business Hub for Sustainability (BH4S). Her work emphasizes systemic approaches to environmental challenges, integrating technical, economic, and social dimensions. Key projects include the Erasmus+ CapSEM project promoting sustainability education, UN IRP observation roles, and development of frameworks for cleaner production and green public procurement. Her recent publications (2023) emphasize analytical tools, systemic transitions, and SDG alignment. She coordinates interdisciplinary collaborations and advises on Norway's environmental policy strategies. Notable contributions include advancing life cycle assessment methodologies, industrial symbiosis frameworks, and eco-efficiency in supply chains. She actively engages in knowledge transfer through academic-industry partnerships and policy advisory roles, fostering sustainable innovation across sectors like maritime, construction, and fisheries.

• Combustion Engines
• Alternative Fuels
• Spray Characterization
• +2 more

Dr. David Emberson is an Associate Professor at the Norwegian University of Science and Technology (NTNU) in the Department of Marine Technology. His research focuses on combustion engine optimization, alternative fuels like ammonia and biofuels, and advanced experimental techniques such as optical combustion diagnostics. His research explores compression ignition systems, spray dynamics, and sustainable fuel solutions including hydrogenated oils, glycerol emulsions, and ammonia combustion. He employs optical methods for in-flame soot measurement and flow optimization. Dr. Emberson's publications (2013-2021) predominantly analyze combustion efficiency, emission reduction, and fuel characterization in engines. Trends include biofuel applications, optical diagnostics, and innovative ignition methods. He teaches courses including Marine Machinery, Internal Combustion Engines, and Propulsion Systems at NTNU.