Find Academic Supervisors

• Materials Science
• Electrochemistry
• Battery Technology
• +4 more

Per Erik Vullum is an Associate Professor at the Norwegian University of Science and Technology (NTNU), based at Realfagbygget, D4-106, Gløshaugen campus (Høgskoleringen 5). His research spans materials science with emphasis on lithium-ion battery systems, electron microscopy characterization, and welding of dissimilar metals. Contact details: per.vullum@ntnu.no, +4773593486, +4793016522. Primary research interests include: Battery materials (silicon anodes, layered oxide cathodes, solid electrolytes) Intermetallic phase formation in aluminum-copper/steel welds Advanced microscopy techniques (TEM, STEM, in situ characterization) Industrial catalysis for energy and chemical processes Additive manufacturing of high-strength alloys Analysis of his 15 most recent publications reveals dominant focus on battery technology (8 articles, 53%), particularly silicon anode degradation and cathode cracking mechanisms. Secondary themes include dissimilar metal joining (4 articles, 27%) and electron microscopy (2 articles, 13%), with one catalysis study. Collaborative work with SINTEF and industry partners is evident through co-authors on welding and subsea cable projects. Scientific awards: No awards mentioned in the source text Advising and grants: The provided text does not reference any PhD/Master's students, grants, or funding sources. His collaborative publications suggest team-based research but omit specific grant details. Labs and teams: Vullum operates within NTNU's materials research ecosystem, likely connected to electron microscopy facilities given his TEM-focused publications. His SINTEF blog contribution indicates active collaboration with Norway's applied research sector, particularly in subsea cable and battery projects.

• Cyber-Physical Systems
• Real-Time Data Analysis
• Wireless Sensor Networks
• +3 more

Karl Øyri is a researcher affiliated with the University of Oslo (UIO) and the Intervention Center at Oslo University Hospital (OUS). His work focuses on real-time data analysis , cyber-physical systems , and wireless sensor networks in biomedical and critical care contexts. Research spans short-range wireless monitoring , physiological signal processing , and sensor network design . His publications (2010–2018) highlight collaborations with institutions like SINTEF and OUS. Scientific awards include the 2010 3rd Poster Prize . His work intersects biomedical engineering , computer science , and health informatics , emphasizing medical IoT and adaptive algorithms.

• Field Robotics
• Underwater Robotics
• Autonomous Navigation
• +5 more

Eleni Kelasidi is a Professor in Field Robotics at the Department of Mechanical and Industrial Engineering, Norwegian University of Science and Technology (NTNU), and holds a part-time position as Senior Research Scientist and Head of SINTEF ACE-RoboticLab at SINTEF Ocean. She leads interdisciplinary research bridging robotics and aquaculture, with a focus on autonomous systems operating in dynamic environments. Her education includes: MSc in Electrical and Computer Engineering (University of Patras, 2009) PhD in Engineering Cybernetics (NTNU, 2015) Kelasidi's research explores nonlinear control, hydrodynamic modeling of swimming robots, robotic vision, and autonomous navigation. She pioneered robotic applications in aquaculture, establishing the first dedicated robotics lab for this domain. Her work addresses energy efficiency, obstacle avoidance, and real-time decision-making for underwater systems. Her recent publications emphasize adaptive path planning, aquaculture robotics, and robust autonomy in uncertain environments, reflecting a trend toward AI-integrated underwater operations and industry-driven solutions. Awards and recognitions: FRIPRO-Young Researcher Talent (2020) SINTEF’s Outstanding Research Award (2024) She leads multiple projects including FRIPRO-Young Researcher Talent and EU initiatives, and founded the Autonomous and Robotic Aquaculture Systems Lab (SINTEF ACE-RoboticLab). Kelasidi collaborates with MIT, ETH Zurich, and industry partners to advance robotic solutions for aquaculture, focusing on net pen inspection, biofouling prevention, and precision fish farming.

Ulysse Teller Masao Côté-AllardView profile

Associate Professor

• Machine Learning
• Deep Learning
• Artificial Intelligence
• +13 more

Ulysse Teller Masao Côté-Allard is an Associate Professor in the Department of Informatics at the University of Oslo, Faculty of Mathematics and Natural Sciences. He is affiliated with the Section for Autonomous Systems and Sensor Technologies and actively contributes to the INtroducing personalized TReatment Of Mental health problems using Adaptive Technology (INTROMAT) project. Institution: University of Oslo School: Faculty of Mathematics and Natural Sciences Department: Department of Informatics Section: Autonomous Systems and Sensor Technologies Email: utmcote-allard@its.uio.no, u.t.m.cote-allard@its.uio.no His primary research interests lie at the intersection of artificial intelligence and biomedical applications, with a strong emphasis on machine learning, deep learning, reinforcement learning, and human-computer interaction. His work focuses on developing intelligent systems for healthcare, particularly in myoelectric control for prosthetics, gesture recognition using wearable sensors, and digital mental health solutions for conditions like bipolar disorder. He investigates how multimodal physiological signals (EMG, PPG, IMU) can be leveraged to enhance human-robot interaction and enable early detection of mood changes. The trends in his recent publications (2020–2025) reveal a consistent focus on adaptive and intelligent systems for rehabilitation and mental health. His work spans biomedical signal processing, assistive robotics, affective computing, and AI-driven health monitoring. He frequently employs deep learning and reinforcement learning techniques to build resilient, context-aware systems that improve human-machine collaboration in clinical and assistive contexts. While no specific scientific awards are mentioned in the provided text, his extensive publication record in top-tier journals such as IEEE Transactions on Neural Systems and Rehabilitation Engineering, IEEE Access, Sensors, and Bipolar Disorders highlights significant scholarly contributions. He is actively involved in advising and research leadership, particularly within the INTROMAT project, which aims to personalize mental health treatment through adaptive technology. His collaborative work includes numerous co-authored publications with researchers across institutions, indicating strong interdisciplinary engagement and grant-funded research activities. Ulysse Teller Masao Côté-Allard is a key contributor to research teams focused on autonomous systems, sensor technologies, and digital mental health. He is involved in the INtROMAT project, which integrates AI and wearable sensing to advance personalized mental healthcare.

• Labor Law
• Public Administration
• Governance
• +4 more

Gerd Engelsrud is a Professor at Oslo Metropolitan University (OsloMet), affiliated with the Centre for Senior Citizen Staff. His work is rooted in legal studies, particularly in the areas of public administration and governance. He is based at the Pilestredet 35 campus in Oslo, with office number PI535, and can be reached via mobile (+47 938 16 094) or email (gerd.engelsrud@oslomet.no). His research primarily centers on labor law in the public sector, with a strong focus on municipal law, civil service legislation, and governance frameworks. Key themes include employment rights, impartiality in hiring, legal aspects of public sector management, and the regulation of state and municipal employers. His work bridges legal theory and practical governance, contributing to both academic discourse and policy understanding. The recent publications reflect a consistent trajectory in public law, especially concerning employment and administrative structures in Norwegian municipalities and state institutions. His scholarly output spans monographs, textbooks, and chapters, often addressing legal challenges in public administration and workforce management. Gerd Engelsrud has been actively involved in dissemination, contributing to public debates on labor rights, leadership, and legal processes in local government. His publications include textbooks widely used in legal education, indicating a strong commitment to pedagogy and knowledge transfer. He has advised on legal problems in municipal employment, participated in research seminars, and contributed to policy discussions through media and professional forums. His collaborative works, particularly with Ingun Sletnes and Gunnar Jahren, highlight interdisciplinary engagement in municipal law and governance. He is associated with research groups focusing on public administration and governance, and his work is published by leading academic publishers such as Cappelen Damm Akademisk and Gyldendal Akademisk. His contributions extend beyond traditional research to include educational materials, public commentary, and professional development resources for HR and legal practitioners in the public sector.

Yunyun ZhouView profile

Associate Professor

• Political Sociology
• Gender Studies
• Cultural Studies
• +6 more

Dr. Yunyun Zhou is an Associate Professor at the University of Oslo's Department of Culture Studies and Oriental Languages, where she teaches courses on Chinese politics, society, and feminist literature. She holds a PhD in Contemporary Chinese Studies from the University of Oxford, with prior academic experience at UC Berkeley, Peking University, and Paris 8 University, and teaching roles at Oxford, Sciences Po, and Université Paris 8. PhD in Contemporary Chinese Studies (University of Oxford) MSc in Sociology (University of Oxford) BA in Literature & BSc in Psychology (Beijing) Her research focuses on political sociology, gender studies, and cultural studies of contemporary China, particularly examining: How individuals negotiate with authoritarian states Rise of social movements Gender dynamics in political processes State feminism and gender lobbying Affective governance mechanisms Political representation in authoritarian systems Recent publications analyze institutional dilemmas in Chinese state feminism, affective governance through gendered media narratives during the pandemic, and coalition-based gender lobbying strategies. She collaborates with scholars like Xinhui Jiang and Kailing Xie on topics ranging from women's substantive representation to TV series analysis. As a visual ethnographer, she explores: Chinese independent documentaries Gender and immigration dynamics Social movements in China and Europe She co-founded Oslo-based NGO FRA ØST TIL NORD and curates Berlin's C/LENS Chinese cinema screening series, organizing webinars on feminist and LGBTQ+ movements in China.

• Economic History
• European History
• War Economies
• +5 more

Jonas Scherner is Professor of Modern European Economic History at the Norwegian University of Science and Technology (NTNU) in Trondheim. He received his PhD and habilitation at the University of Mannheim before joining NTNU in 2010. In the academic year 2005/2006 he was a postdoctoral visiting fellow at the Economic Growth Center, Yale University and in 2008/2009 Visiting Research Fellow in Economic and Social History at the German Historical Institute (GHI), Washington DC. His educational background includes: Habilitation in Economic and Social History, University of Mannheim, 2006 Dr. rer. pol. (Doctoral Dissertation in Economics), summa cum laude, University of Mannheim, 1998 Diplomvolkswirt (Master of Economics), University of Mannheim, 1994 Professor Scherner's research has focused on war preparation, war economies and their lasting effects, covering both state and company actors and using micro and macro data as well as qualitative sources. As one of the PIs of the Fate of Nations Research Group on the Global History and Political Economy of Natural Resources (2017-2024) he researched on natural resources and war. He is currently the corresponding PI of the ERC Synergy Grant #101166983, The Hidden Weapon. Blockade in the Era of the Two World Wars. His work particularly examines how nations prepare for and respond to economic blockades, with a focus on strategic resource management during wartime. His recent publications demonstrate a consistent focus on economic aspects of war, particularly Nazi Germany's economic strategies during WWII. His research examines topics such as blockade strategies, resource substitution, industrial policy, and the economic dimensions of military occupation. A recurring theme is how nations manage strategic resources during wartime, with particular attention to non-ferrous metals and other critical materials. His work combines quantitative economic analysis with historical methodology to provide nuanced insights into wartime economic decision-making. Professor Scherner serves as a referee for numerous prestigious journals including Business History, Business History Review, Economic History Review, and others. He has also contributed book reviews to several academic publications. His research has been covered in major media outlets including DER SPIEGEL and Focus magazine, demonstrating the broader impact and relevance of his historical economic research to contemporary understanding of war economies.

Khelifa Nida BarturaView profile

Research Fellow

• Performance under pressure in elite sports
• Ironic process theory in motor tasks
• Working memory capacity in sports psychology
• +5 more

Khelifa Nida Bartura is a Research Fellow at the Department of Sport and Social Sciences, Norwegian School of Sport Sciences, focusing on cognitive and physiological mechanisms in elite sports performance under pressure. Education: European Master's in Sport and Exercise Psychology (University of Thessaly/Leipzig, 2013) Education: Master's in Sports Science (University of Punjabi, 2007) Research spans ironic processes in target shooting, cognitive strategies for performance optimization, and psychophysiological interventions in endurance sports. Current projects examine stress responses in precision shooting disciplines. Recent publications include experimental studies on attentional control in biathlon, systematic reviews on performance anxiety effects, and applied work on hydration and mental techniques in endurance contexts.

• Medical Image Analysis
• Alzheimer's Disease Research
• Computational Engineering
• +5 more

Hans Olofsen serves as a Senior Lecturer and Study Program Manager for Bachelor Computer Engineering and Computer Engineering - Further Education at the Department of Computer Science and Computational Engineering, UiT The Arctic University of Norway, located at the Narvik campus. His professional activities span both academic instruction and research leadership within computational engineering disciplines. Dr. Olofsen's research interests center on Medical Image Analysis with particular focus on Alzheimer's disease biomarkers, Computational Engineering applications in healthcare, and Artificial Intelligence solutions for medical image processing. His technical expertise includes developing algorithms for ventricular shape analysis, creating autonomous virtual robots for 3D medical image navigation, and designing wearable technology systems for fall risk assessment in elderly populations. Analysis of his publication record reveals a consistent research trajectory in computational medical imaging spanning over 15 years, with significant contributions in ventricular shape biomarkers for Alzheimer's disease, 3D medical image exploration systems, and wearable technology applications in geriatric care. His work demonstrates interdisciplinary collaboration across neuroscience, computer science, and biomedical engineering domains. As a member of the Simuleringer (Simulations) research group at UiT, Dr. Olofsen contributes to advancing computational methods in medical applications with a specialization in Artificial Intelligence techniques. His office is located in Campus Narvik D2210, where he manages both his teaching responsibilities for computer engineering programs and his research activities.

• Multilingualism
• Language Learning
• Linguistically Responsive Teaching
• +4 more

Leena Maria Heikkola is a Professor of Kven and Finnish linguistics at the Department of Language and Culture , UiT The Arctic University of Norway. Her work centers on multilingualism, linguistically responsive teaching, and the intersection of language and cognition, particularly in neurological contexts. Current research includes collaboration with PhD Antti Saloranta (visiting researcher in Kven language) to analyze the Kven phonetic system using archival and collected speech data, alongside psychophysiological measurements comparing Kven and Finnish language processing. She is a member of research groups MultiNor and C-LaBL , focusing on Nordic multilingualism and language learning. Her recent publications explore Finnish teachers’ practices in multilingual classrooms, pedagogical responses to linguistic diversity, and the role of music in L2 fluency. Articles emphasize themes like educational equity, language ideologies, and cognitive fatigue in neurological disorders. She holds ORCID 0000-0002-1795-7656 and contributes to Nordic language policy networks.

Anja Olafsen SjåstadView profile

Professor

• Inorganic Materials Chemistry
• Catalysis
• Nanomaterials
• +5 more

Anja Olafsen Sjåstad is a Professor in the Department of Chemistry at the University of Oslo's Faculty of Mathematics and Natural Sciences. Her research focuses on inorganic materials chemistry with particular emphasis on catalysis, nanomaterials, and energy applications. She is an active member of the Nanostructures and Functional Materials (NAFUMA) research group and contributes to initiatives like HYDROGENi - the Norwegian centre for hydrogen and ammonia research and innovation. Her work bridges fundamental materials science with industrial applications, particularly in catalytic processes involving platinum-group metals. Department of Chemistry, University of Oslo Faculty of Mathematics and Natural Sciences Nanostructures and Functional Materials (NAFUMA) research group HYDROGENi - Norwegian centre for hydrogen research 2D high-entropy materials for energy conversion (HEMEC) project Professor Sjåstad's research interests center on inorganic materials chemistry with a strong focus on catalysis, particularly platinum-rhodium systems for ammonia oxidation processes. Her work spans nanomaterials synthesis and characterization, computational materials science including DFT and ab initio studies, energy materials for hydrogen applications, and oxide chemistry. She investigates surface phenomena, interface engineering, and the electronic structure of materials to develop more efficient catalysts and energy conversion systems. Her research combines experimental techniques like XPS, TEM, and STM with computational approaches to understand materials at the atomic level. Analysis of Professor Sjåstad's recent publications reveals a consistent focus on platinum-group metal catalysts, particularly for ammonia oxidation applications. Her work shows increasing integration of machine learning with experimental validation for materials discovery, as seen in her 2025 magnetocaloric materials paper. There's a strong emphasis on understanding surface phenomena and interface behavior through advanced characterization techniques like in situ TEM and XPS. Her research portfolio spans fundamental computational studies of electronic structure to applied work on catalyst design and recovery systems, demonstrating a comprehensive approach to materials science that connects atomic-scale understanding with industrial applications. Professor Sjåstad actively leads and participates in significant research projects including HEMEC (2D high-entropy materials for energy conversion) and HYDROGENi (Norwegian centre for hydrogen and ammonia research). Her work addresses critical challenges in sustainable energy technologies, particularly in catalyst development for hydrogen production and ammonia processes. While specific grant details aren't provided in the source material, her extensive publication record in high-impact journals demonstrates successful research funding and project execution. Professor Sjåstad is affiliated with the Nanostructures and Functional Materials (NAFUMA) research group at the University of Oslo, which focuses on advanced materials synthesis, characterization, and application. Her work connects with the HYDROGENi centre's mission to advance hydrogen and ammonia technologies. The research environment she participates in combines experimental facilities for materials synthesis and characterization with computational resources for modeling and simulation, supporting a comprehensive approach to materials science research.

• Diffusion MRI
• Machine Learning
• Mathematical Modelling
• +3 more

Professor Ivan Maximov serves in the Department of health and functioning at Western Norway University of Applied Sciences, where he holds the position of Professor with research focus on advanced neuroimaging techniques. His work bridges clinical applications and computational methodology development, particularly in diffusion MRI and brain aging research. His primary research interests include Diffusion MRI modeling, Machine Learning applications in neuroimaging, and Mathematical modeling of brain microstructure. He investigates ultra high field MRI techniques, optimal control methods for imaging, and imaging genetics approaches to understand brain-behavior relationships. His work spans multiple neurological and psychiatric conditions including multiple sclerosis, depression, psychosis, and cognitive aging. Analysis of his recent publications reveals a strong emphasis on longitudinal brain microstructure changes, with particular attention to white matter integrity across the lifespan. His work frequently integrates polygenic risk scores with neuroimaging data, and he has made significant contributions to methodological improvements in diffusion MRI analysis, including version control considerations for brain age prediction algorithms. Professor Maximov actively contributes to the NORMENT OUS research group and teaches advanced courses including RAD210 (Magnetic Resonance Physical Principles), RAD230 (Medical Image Processing and AI), and RAD390 (Bachelor's Thesis supervision). His teaching emphasizes the intersection of radiography, artificial intelligence, and medical innovation. His research involves collaborations with major international consortia including UK Biobank and ENIGMA, with particular focus on large-scale diffusion MRI analysis. Current projects examine sex-specific brain changes, obesity-brain relationships, and transdiagnostic white matter alterations in psychiatric disorders. He leads methodological developments in diffusion kurtosis imaging and optimal control for MRI pulse sequence design.

• Informatics
• Digital Literacy
• Risk and Digital Vulnerability
• +5 more

Ingvar Tjøstheim is a Professor at the Hauge School of Management, NLA University College, Oslo. His work spans digital competence, human-computer interaction, and technology's societal impacts. Research Focus: Digital vulnerability, privacy, serious games, telepresence, and digital travel. Teaching: Digitalization and quantitative methods for bachelor students. Education : Master's in economics, management, and entrepreneurship; PhD in informatics. His publications explore digital travel psychology, data privacy paradoxes, and phishing susceptibility through games. Selected Honors : Best paper award (1998) for online auction study

Hugo Cogo MoreiraView profile

Professor

• Psychometrics
• Applied Biostatistics
• Structural Equation Modeling
• +6 more

Professor at the Department of Education, ICT and Learning , University of Southeast Norway since August 2021. Specializes in quantitative methods across medical and educational research. Former positions: University of Hong Kong (2020-2021), Freie Universität Berlin (2018-2020), Universidade Federal de São Paulo (2014-2018) Research areas : Psychometrics, Structural Equation Modeling, Randomized Controlled Trials (RCTs), Longitudinal Analysis Key collaborations with institutions including University of Toronto, University College London, Freie Universität Berlin, and University of Oslo. Current projects involve: Virtual Reality for Autism Reading interventions for disabilities Statistical consultancy across disciplines Publications span medical psychology (diabetes, MS, sleep disorders), educational interventions, and psychiatric epidemiology. 15 most recent articles include work on: Cognitive decline and depression Substance abuse prevention Executive function studies Statistical methodological advancements Awards : CAPES Best Thesis Award (2012) Åsgard Mobility Grant (2024) Editorial roles : Associate Editor - Psychology of Music Associate Editor - Research in Developmental Disabilities Peer reviewer for 14+ journals

• Food Science
• Seafood Processing
• Quality Assessment
• +5 more

Jørgen Lerfall is a Professor and Head of the Food Science Division at the Department of Biotechnology and Food Science, Faculty of Natural Sciences, Norwegian University of Science and Technology (NTNU). His research focuses on optimizing raw material and product quality in fish and seafood processing, with specialization in Atlantic salmon and cod. He coordinates NTNU's priority research area 'Optimal utilization of the ocean's natural resources' (OptiMat) and leads multiple funded projects. Research interests center on: Processing technologies (salt curing, drying, smoking, heat processing) Quality characterization (chemical, physicochemical, physical, sensorial, microbial) Shelf-life extension through innovative methods like soluble gas stabilization Advanced analytical techniques including spectroscopy and chromatography Recent publications (2024-2025) demonstrate strong focus on: Seafood preservation technologies (soluble gas stabilization, superchilling) Quality optimization across species (salmon, cod, plaice, sea urchin) Sustainable packaging solutions and smart indicators Nutritional and biochemical mechanisms in aquaculture He directs significant research infrastructure including UHPLC-DAD, HPLC systems, GC-FID, Raman spectrometers, and texture analyzers. Current projects focus on renewable salmon pigments, Listeria control in seafood chains, and commercializing soluble gas stabilization technology.