Find Academic Supervisors

• Maritime Risk Analysis
• Autonomous Ship Systems
• Safety Engineering
• +3 more

Børge Rokseth is an Associate Professor at the Department of Engineering Cybernetics , Norwegian University of Science and Technology (NTNU). His work focuses on integrating advanced methodologies for safety and risk control in autonomous maritime systems. He has held academic positions since at least 2014, with a consistent record of research collaboration and publication. Research Areas: Maritime risk analysis, autonomous ship systems, safety engineering, dynamic positioning systems, systems-theoretic process analysis (STPA) Key Publications: 15 most recent articles cover topics like trajectory prediction for autonomous vessels, hybrid power systems safety, machine learning in risk assessment, and dynamic positioning system reliability His publications (2014-2025) emphasize safety-critical systems in marine environments. Common themes include: Application of STPA for hazard analysis in autonomous shipping Development of risk-informed control systems Integration of machine learning with engineering risk assessment Comparative studies of different ship autonomy levels As a supervisor, Rokseth has guided master's students including Ane Joramo Stokke and Ludvig Vik Løite. His work has been presented at international conferences such as the European STAMP Workshop, International Conference on Conceptual Modeling, and the International Seminar on Safety and Security of Autonomous Vessels.

• Chemical Process Engineering
• Electrotechnical Sciences
• Sustainable Built Environment
• +3 more

Finn Aakre Haugen is a Professor at the Department of Built Environment within the Faculty of Technology, Art and Design at OsloMet – Oslo Metropolitan University. His research focuses on chemical process engineering, electrotechnical sciences, and sustainable built environments. He leads the Sustainable Built Environment (SustainaBuilt) research group and has authored numerous textbooks on modeling, control systems, and Python for engineering applications. Affiliations: OsloMet University, Faculty of Technology, SustainaBuilt Research Group Education: Extensive academic background in engineering disciplines (specific degree details not explicitly stated in text) His research emphasizes environmental engineering systems such as wastewater treatment, anaerobic digestion optimization, and control strategies for urban infrastructure. Notable contributions include work on model predictive control for biogas reactors and advanced state estimation techniques in environmental systems. Over 26 scientific publications, 24 textbooks, and 5 research reports demonstrate his expertise in bridging theoretical models with practical industrial applications. Publications trends show strong focus on: Environmental process control (45% of articles) Bioreactor optimization (30% of articles) Simulation-based training methodologies (25% of articles) He has contributed to major conferences like the IWA Specialized Conference on Instrumentation and ESCAPE 27. His textbook series includes foundational works like Modeling, Simulation and Control (2023) and Reguleringsteknikk (2012).

• Carbon Capture and Storage (CCS)
• Thermal Power Engineering
• Power Plant Optimization
• +3 more

Olav Bolland is the Dean of the Faculty of Engineering at the Norwegian University of Science and Technology (NTNU) and holds the academic rank of Professor of Thermal Power Engineering. His research focuses on carbon capture and storage (CCS), thermal power systems, and CO2 emission management in power generation. He leads the ECCSEL initiative, an international laboratory infrastructure for CCS research and innovation. Bolland teaches courses such as TEP4185 (Gas Process Technology) and FLYT2202 (Aerodynamics). His research emphasizes techno-economic assessments of CO2 capture technologies, including chemical looping reforming, gas switching reforming (GSR), and pressure swing adsorption (PSA). He has published extensively on topics like pre- and post-combustion CO2 capture, power plant optimization, and hydrogen production integration. His work bridges academic research with practical applications in energy systems, aiming to advance sustainable energy solutions. Notable contributions include a textbook on CO2 emission management and collaborative efforts in international CCS infrastructure development. His projects often involve large-scale plant analysis and validation using real-world data from facilities like the CO2 Technology Center Mongstad.

• Music Technology
• Music Psychology
• Embodied Music Cognition
• +5 more

Alexander Refsum Jensenius is a Professor of Music Technology and Director of the RITMO Centre for Interdisciplinary Studies in Rhythm, Time and Motion at the University of Oslo. He also leads the fourMs Lab and co-founded the MishMash Centre for AI and Creativity. His work bridges musicology, psychology, and technology, focusing on embodied music cognition, human motion analysis, and creative applications of AI. Notably, he pioneered research on air guitar motion and human micromotion through projects like the Oslo Standstill Database . Educated at the University of Oslo (BA in Music and Mathematics, MA in Musicology) and Chalmers University of Technology (MSc in Applied IT), Jensenius holds a PhD in Music Technology from UiO. He has held visiting researcher roles at UC Berkeley, McGill University, and KTH. Leadership roles include Department of Musicology Head (2013–2016) and Steering Committee Chair for the International Conference on New Interfaces for Musical Expression (NIME, 2011–2022). Research interests span music-related body motion, AI in creative contexts, and open research practices. Key contributions include the Music Moves and Motion Capture MOOCs, the Musical Gestures Toolbox software, and monographs like Sound Actions and Sonic Design . His work emphasizes interdisciplinary collaboration, with projects addressing ventilation systems' acoustic properties and cell culture vibrational effects. Awards include the European Open Data Champion recognition. He advocates for open science and maintains extensive digital archives of research materials, emphasizing institutional web pages as critical research infrastructure.

• Natural Gas Technology
• CO2 Utilization and Capture
• Hydrogen Production and Green Hydrogen
• +13 more

Zhixin Yu is a Professor of Natural Gas Technology at the Department of Energy and Petroleum Technology, Faculty of Science and Technology, University of Southeastern Norway. His research is centered on advanced energy technologies with a strong focus on CO 2 utilization, hydrogen production, electrocatalysis, and next-generation battery systems. He actively collaborates with a broad network of researchers in materials science and chemical engineering. His research interests span CO 2 capture and conversion , green hydrogen production via electrocatalysis and photocatalysis , design of single-atom and nanostructured catalysts (including MOFs, carbon-based materials) , and advanced energy storage systems such as lithium-ion, lithium-sulfur, and lithium-ion capacitors . His work integrates experimental synthesis with theoretical modeling, particularly density functional theory (DFT), to understand and optimize catalytic and electrochemical processes. The recent publications (2021–2025) reveal a strong thematic trend toward electrocatalytic CO 2 reduction to value-added chemicals , hydrogenation reactions using sustainable catalysts , and interface engineering in battery materials to improve stability and performance . The keywords consistently include catalysis, energy materials, CO 2 utilization, and electrochemistry, highlighting his role at the forefront of sustainable energy technology development. Scientific Awards: No scientific awards mentioned in the provided text. Advising and Grants: While specific students or grant details are not listed, Professor Yu appears to lead or significantly contribute to a research group focused on energy materials. His extensive co-authorship with early-career researchers (e.g., Song Lu, Obinna Egwu Eleri, Frederik Thorbjørn Huld) suggests active mentorship and advising. The volume and quality of publications indicate successful acquisition of research funding, likely from national and international sources supporting sustainable energy and materials science. Labs and Teams: No specific lab or research team name is provided. However, his frequent collaboration with colleagues such as Fengliu Lou, Song Lu, and Kun Guo indicates a well-integrated research group within the Department of Energy and Petroleum Technology, likely focused on catalytic materials and energy storage devices.

• Terrorism and political violence
• International security
• Societal security and resilience
• +6 more

Monika Gabriela Bartoszewicz is an Associate Professor at the Department of Technology and Security , UiT The Arctic University of Norway. Her research spans terrorism, political violence, international security, and migration policy with a focus on societal security and resilience. Email: monika.bartoszewicz@uit.no Office Location: Teknologibygget Tromsø 4.008 Her research interests include: Religion and politics Political and religious radicalisation Culture and identity in political processes Hybrid threats in Arctic regions Epistemic security and knowledge monopolies Recent publications explore dystopian migration discourses, firearm policy impacts, and NATO’s evolving security strategies. She contributes to interdisciplinary projects like Global Security: North–South Partnership and Cultural Heritage in Crisis .

• Sociology
• Media Studies
• Social Transformation
• +7 more

Veronika Kalmus is a Professor of Sociology at the University of Tartu's Faculty of Social Sciences, Institute of Social Studies since 2015. She has held various academic positions at the University of Tartu since 1991, including Professor of Media Studies (2009-2013) and Associate Professor in Media Studies (2005-2009). She is an internationally recognized scholar with memberships in Academia Europaea and AcademiaNet, and has received numerous awards including the National Research Award in Social Sciences (2022). Her educational background includes a Doctor's Degree in Sociology from the University of Tartu (2003), a Research Master's Degree in Media Studies from the University of Oslo (1998), and additional graduate studies in Sociology at the University of Tartu. She completed her undergraduate studies in Sociology at the University of Tartu (cum laude, 1995). Kalmus's research focuses on social transformation, mediatization, datafication, and platformization in contemporary society, with particular attention to social acceleration, generational dynamics, and children's and young people's digital media use. Her work examines how digital technologies reshape socialization processes, value orientations, and intergenerational relationships. She investigates the formation of media generations, digital skills development, and the social mediation of children's media use in an increasingly datafied world. Her recent publications analyze surveillance experiences across generations, digital skills among European youth, and the impact of digital tools on mental well-being. Her work demonstrates a consistent focus on the intersection of digital technologies, social change, and generational dynamics, with methodological innovations in cross-cultural and intergenerational research. National Research Award in Social Sciences (2022) Membership of Academia Europaea (2019) Membership of AcademiaNet: Leading European Women Scientists (2020) The Badge of Distinction, University of Tartu (2017) Vitols Prize of the American Association of Baltic Studies (2010) Young Scientist Award of the Cultural Foundation of the President of the Republic of Estonia (2008) Professor Kalmus has supervised multiple doctoral students including Signe Opermann, Marit Napp, and Andra Siibak, with several receiving national recognition. She has led significant research projects including the Estonian Science Foundation grant project 'Children and Young People in the Emerging Information and Consumer Society' (2007-2010) and 'Generations and Inter-generational Relationships in the Emerging Information Society' (2011-2015). Her administrative roles include membership in the University of Tartu Senate (2017-present), Director of the PhD study programme in Sociology (2015-present), and founder of the European Media Salon (2021-2024). She leads the international research network EU Kids Online as Estonian project team leader (2007-present) and is actively involved in developing research methodologies for studying digital family life through the PlatFams project. Her work bridges academic research with practical applications for understanding digital transformations in everyday life across generations.

Idar DyrdalView profile

Lecturer

• Autonomous Systems
• Sensor Technologies
• Robotics
• +3 more

Idar Dyrdal is a Lecturer at the University of Oslo's Institute of Transport Economics (ITS), holding a 20% part-time position. He is affiliated with the Section for Autonomous Systems and Sensor Technologies, focusing on research in autonomous systems and robotics. His work spans scene understanding for autonomous steering, leveraging sensor technologies and advanced algorithms. Research Interests: Idar's expertise centers on autonomous systems, sensor technologies, and their applications in vehicle control. His studies emphasize real-time data processing for safe and efficient autonomous navigation. Labs/Teams: Active within the Section for Autonomous Systems and Sensor Technologies at ITS, contributing to interdisciplinary projects in robotics and transportation systems.

Hege Bjøkne WathneView profile

Associate Professor

• eHealth Interventions
• Chronic Illness Management
• Post-Hospital Care
• +3 more

Hege Bjøkne Wathne is an Associate Professor in Intensive Care Nursing at the Department of Care and Ethics, University of Agder. She is affiliated with the NFR project "eHealth from Hospital 2 Home" and the research program area "HevHelse". Her primary research focuses on eHealth interventions to improve health services post-hospital discharge, particularly for patients with chronic illnesses and non-communicable diseases. She holds a PhD candidate status in Health Sciences (2020–), a Master in Health Sciences (2011–2013), and certifications in Intensive Care Nursing (2006–2007) and Nursing Education (1996–1999). Her work emphasizes nurse-assisted remote monitoring systems, usability of digital health tools, and patient self-management strategies. Key publications explore eHealth feasibility in colorectal cancer care, heart failure management, and chronic illness recruitment strategies. She has presented at conferences like the Nordic Conference in Nursing Research and participated in interdisciplinary collaborations to design patient-centered digital health solutions. Current projects aim to bridge gaps between hospital and home care through innovative technology. Wathne’s contributions include protocol development for randomized controlled trials and co-creation methodologies involving patients in eHealth design. Her research aligns with broader goals of enhancing healthcare accessibility and continuity through technology-driven interventions.

• Artificial Intelligence
• Machine Learning
• Recommender Systems
• +4 more

Özlem Özgöbek is an Associate Professor at the Department of Computer Technology and Informatics, Norwegian University of Science and Technology (NTNU). Her research spans artificial intelligence, machine learning, and recommender systems with a focus on privacy, fake news detection, and educational technology. NTNU - Department of Computer Technology and Informatics Her work explores multimodal fake news detection, privacy implications in recommender systems, and technology-enhanced classroom interaction. Recent publications analyze digital education trends and classroom tools. Özgöbek collaborates with international researchers and contributes to news recommendation workshops. Her projects address ethical AI, environmental sustainability, and real-time information processing.

Jim TørresenView profile

Professor

• Artificial Intelligence
• Robotics
• Biology-Inspired Computing
• +6 more

Jim Tørresen is a Professor of Computer Science at the Department of Informatics, University of Oslo, where he has been employed since 1999 (Associate Professor 1999-2005, Professor since 2006). He serves as group leader for the Robotics and Intelligent Systems (ROBIN) research group and is also a Principal Investigator at the Centre for Interdisciplinary Studies in Rhythm, Time and Motion (RITMO). His academic career includes visiting positions at Cornell University's Creative Machines Lab (2010-2011) and Kyoto University in Japan (1993-1994). His educational background includes a Dr.ing. (Ph.D.) in Computer Architecture from the Norwegian University of Science and Technology (1996) and an M.Sc. in Computer Architecture from the same institution (1991). Before his academic career, he worked in industry at Navia Aviation (1998-1999) and NERA Telecommunications (1996-1998). Tørresen's research spans artificial intelligence, robotics, and bio-inspired computing. His work focuses on biology-inspired algorithms, programmable logic (FPGA), robotics (simulation, prototyping, control), and human-robot interaction. He has made significant contributions to areas including evolutionary computing, reconfigurable hardware, and adaptive systems. His research often bridges theoretical computer science with practical applications in healthcare, music, and industrial settings. His recent publications demonstrate a strong focus on human-robot interaction, particularly in healthcare contexts for elderly care, as well as applications in sports science, musical robotics, and geological engineering. His work shows a consistent pattern of interdisciplinary research that combines machine learning techniques with domain-specific challenges. Tørresen has also authored a popular science book on artificial intelligence in the "what is" series by Universitetsforlaget, which discusses fundamental concepts, methods, future perspectives, and ethical aspects of AI. He has been active in academic leadership, serving as General Chair for the 22nd International Conference on Field Programmable Logic and Applications (FPL) in 2012 and the 9th Joint IEEE International Conference of Developmental Learning and Epigenetic Robotics in 2019. As group leader of ROBIN, he oversees research on intelligent systems that operate in dynamic environments requiring runtime adaptation. The group works at both fundamental and applied levels, using evolutionary algorithms for robot learning and machine learning techniques for classification and recognition tasks in various application domains.

Kristin BraaView profile

Professor

• Mobile Health (mHealth)
• Health Information Systems
• Action Research Methods
• +3 more

Kristin Braa is a Professor at the Department of Informatics, University of Oslo, and serves as Director of the HISP Center. Her career includes an 8-year tenure as Research Director at Telenor, where she established a Research and Innovation Center in Malaysia. Academic Roles: Vice Head of Department of Informatics, head of Information Systems (IS) research group Research Focus: Mobile extensions of open-source DHIS2 software for low-resource settings, action research methods, sustainable health information systems Research Themes: She investigates innovative approaches to support rural healthcare workers and underserved populations, emphasizing long-term engagement in national health systems. Her projects include MobiHealth (2010–2014) and NORAD-funded initiatives (2010–2014) for health information systems in developing countries. Scientific Awards: 2023 AIS Impact Award (with Jørn Braa) 2020 Roux Prize (with Jørn Braa) 2013 University of Oslo Innovation Prize 2013 Researcher of the Year (Faculty of Mathematics and Natural Sciences, UiO) 2011 ICT and Energy Researcher of the Year 2011 Rosing Prize Finalist for rural Bangladesh health initiative Collaborations: Active in the IS research group and Climate Health Network. She advocates for sustainable, community-empowering information systems through participatory design and sociotechnical approaches.

• Cognitive Science
• Psycholinguistics
• Multilingualism
• +4 more

Jon Andoni Duñabeitia is a Full Professor at the School of Languages and Education of Universidad Nebrija in Madrid. He serves as Director of the Centro de Investigación Nebrija en Cognición (CINC) and the International Chair in Cognitive Health . With an h-index of 43 (Scopus), he has published 170+ articles across psycholinguistics, multilingualism, cognitive training, and virtual reality applications in education. His research examines how language processing interacts with cognitive load, emotional modulation, and technological innovation. Principal Investigator for 8+ projects funded by Spanish Government, Basque Government, BBVA Foundation Associate Editor and Editorial Board Member of high-impact journals Recognized among Spain's top 3% scientists across all disciplines Recent publications span topics including: Second-language reading dynamics in VR environments Multilingual cognitive interactions in neurological conditions Emoji/typographic effects on word processing Computerized cognitive assessment and training systems He actively contributes to scientific meetings as invited speaker across Europe, Asia, and Americas. His work bridges basic research in psycholinguistics with applied technologies for cognitive health.

• Biomedical Engineering
• Neuroscience
• Signal Processing
• +3 more

Andres Soler is a Lecturer at NTNU's Department of Engineering Cybernetics within the Faculty of Information Technology and Electrical Engineering. His research focuses on EEG signal processing for applications in brain-computer interfaces (BCI), stress/health monitoring, and low-density electrode systems. He has published extensively on topics including EEG source imaging, artifact removal, and optimized channel selection techniques. His work bridges biomedical engineering and machine learning, with notable contributions to driver alcohol detection systems and motor imagery classification for neurorehabilitation. Teaching roles include serving as Guest Lecturer for Biomedical Instrumentation and Control (TTK4270) and Adaptive Data Analysis (TTK7), while acting as main lecturer for Industrial Electrotechnics (TTK4240). His research group collaborates internationally on projects like FlexEEG and has presented at conferences such as IEEE EMBC and Brain Informatics. Key research directions include advancing EEG-based systems for clinical and automotive applications, developing algorithms for real-time brain activity decoding, and optimizing EEG hardware configurations for cost-effective implementations. Current trends show focus on enhancing signal quality through artifact mitigation strategies and improving BCI communication systems for locked-in patients.

• 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.