Find Academic Supervisors

• Nanoelectronics
• Analog and Digital Circuits
• Signal Processing
• +3 more

Jørgen Andreas Michaelsen is an Associate Professor at the Department of Informatics, University of Oslo. He is affiliated with the Nanoelectronics (NANO) research group. His research focuses on nanoelectronic systems, analog and digital circuit design, radar systems, wireless sensor networks, and multimedia networking. He holds a Cand.Scient. (Master's equivalent) in Informatics from the University of Oslo, as evidenced by his 2006 thesis titled Suppression of ΔΣ DAC Quantisation Noise by Bandwidth Adaptation . His recent work (2017) includes low-power radar SoC designs for non-contact vital signs detection. Earlier contributions span topics like VCO linearization for ADCs (2013), low-power sensor interfacing (2011), and multimedia streaming optimization (2006–2007). His publications often appear in top-tier conferences such as IEEE ISSCC, NEWCAS, and Norchip, reflecting expertise in both hardware and system-level design. Michaelsen collaborates extensively with industry partners and colleagues on interdisciplinary projects, bridging nanoelectronics with practical applications in healthcare monitoring and wireless communication. His work emphasizes energy-efficient, high-performance circuit solutions for emerging technologies.

• Computational Astrophysics
• Solar Physics
• Radiative Transfer
• +4 more

Tiago Pereira is an Associate Professor at the University of Oslo's Institute of Theoretical Astrophysics, affiliated with the Rosseland Centre for Solar Physics. His research focuses on computational astrophysics, radiative transfer, and solar atmosphere dynamics. He holds a PhD in Astronomy and Astrophysics from the Australian National University (2010) and has conducted postdoctoral research at institutions including NASA ARC and Lockheed Martin ATC (2010-2012). His work leverages high-performance computing to model solar phenomena such as spicules, chromospheric heating, and transition region dynamics. Education: PhD in Astronomy and Astrophysics, Australian National University, 2010 Postdoctoral fellowships at NASA ARC, Lockheed Martin ATC, and ANU (2010-2012) His research emphasizes radiative transfer in 3D MHD simulations, with particular attention to NLTE effects and the interplay between chromospheric layers. Key projects include the development of SunnyNet—a neural network approach to radiative transfer—and analysis of data from missions like IRIS and Hinode. Recent work explores spicule dynamics, Kelvin-Helmholtz instabilities in solar plasma, and the role of unresolved fine structures in solar atmospheres. His publications highlight contributions to spectral line formation (e.g., Hϵ, Lyman series), clustering algorithms for spectral profile analysis, and computational tools like the RH 1.5D radiative transfer code. Collaborations span international teams, including studies of solar flares, UV bursts, and coronal heating mechanisms.

• Computer Graphics
• Geosciences Visualization
• Virtual Reality Applications
• +3 more

Assoc. Prof Daniel Patel holds a position in the Department of Computing, Mathematics, and Physics at Western Norway University of Applied Sciences (HVL). His research focuses on interdisciplinary applications of computer graphics and visualization techniques in geosciences, VR training systems, and educational technology. Key areas include collaborative software for subsurface CO2 storage, seismic data interpretation, and vision-training serious games for children. His work bridges computer science with geology, energy systems, and marine biology, emphasizing real-time visualization algorithms and secure rendering methods. He has pioneered VR training systems for safety assessment and developed web-based 3D geology visualization tools using open standards like X3DOM. His research also extends to acoustic marine species identification and GPU-optimized rendering techniques. Notable contributions include advancements in homomorphic-encrypted volume rendering for secure visualization, multi-GPU processing with the Vulkan API, and sketch-based geological modeling tools. His projects often integrate modern hardware (e.g., VR headsets) with game engines to enhance training and educational outcomes.

Arild HoffView profile

Professor

• Operations Research
• Combinatorial Optimization
• Vehicle Routing
• +3 more

Arild Hoff is a Professor of Quantitative Logistics at Molde University College, Faculty of Logistics. He teaches courses including LOG500 Management Models and Operations Research (Bachelor - Fall semester) and LOG530 Distribution Planning (Bachelor - Spring semester). Previously, he has taught several subjects within informatics, inventory and production management and exact optimization methods, both at bachelor and master level. His educational background includes: PhD in Logistics – Molde University College (2006) Cand. Scient. – University of Bergen (1998) Cand. Mag. – Molde University College (1994) Marketing – Trondheim Business School (1991) Business Economist – Trondheim Business School (1987) Professor Hoff's research focuses on operations research, planning, optimization and decision support, with particular emphasis on solution methods for combinatorial optimization problems, such as vehicle routing and hub location. His PhD thesis addressed "Heuristics for Rich Vehicle Routing Problems," exploring search methods for solving advanced vehicle routing problems with special constraints. His recent publications demonstrate a strong focus on maritime logistics, inventory routing problems, and optimization methods under uncertainty. His work spans applications in aquaculture, disaster relief, waste collection, and transportation planning, with a consistent emphasis on developing and applying advanced optimization techniques to complex real-world problems. Professor Hoff is actively involved in research groups including Energy Logistics (EneLog) and Planning, Optimization and Decision Support, with additional interests in aquaculture and other marine industries.

Alireza David AnisiView profile

Associate Professor

• Autonomous Systems
• Robotics
• Agri-tech
• +7 more

Alireza David Anisi is an Associate Professor at the Department of Engineering Sciences , University of Agder. With a PhD in Optimization and Systems Theory and an M.Sc. in Engineering Physics, he specializes in autonomous systems and robotics , particularly in agri-tech and harsh environments . His industrial experience spans 15+ years in defense and oil & gas sectors. Academic Background: PhD: Optimization and Systems Theory M.Sc.: Engineering Physics Research Interests include formal verification and learning for autonomous systems, combinatorial optimization for multi-robot task/path planning, computational optimal control for trajectory optimization, and nonlinear observer design. His work bridges academic research with industrial R&D. Selected Publications highlight trends in robotics safety assurance, formal verification methods, and industry-specific applications (defense, oil & gas, agriculture). Recent works focus on runtime verification in ROS 2 and RoboStar technology integration. Patents: Power system optimization (EP18162642.5, 2018) Mechanical grip system (SE1300179, 2013) Sensor arrangement for machine vision (WO2014026711, 2012) Tool changer for explosive environments (WO2012007188, 2011) Industrial robot control method (EP2466404, 2010) Harsh environment mobile robot (WO2011107137, 2010) Anisi contributes to the Robotics and Automation research group, focusing on real-world applications in agriculture, energy, and industrial sectors. He teaches MAS221 Industrial IT and Robotics and emphasizes collaboration between academia and industry.

• Robotics
• Control Systems
• Industrial IT
• +3 more

Geir Hovland is a Professor at the Department of Engineering Sciences, University of Agder. He holds an MSc in Engineering Cybernetics from NTNU (1993) and a PhD in Robotics from the Australian National University (1997). His research focuses on robotics, control systems, industrial IT, and modeling/identification of dynamic systems. He serves as Chief Editor of the MIC Journal . Research Interests: Robotics and automation, including flexible manipulators and sensor networks Control systems for offshore and industrial applications Parallel kinematic machines and mechatronic systems Blockchain stability analysis (nonlinear control) Publications: Over 100 peer-reviewed articles in journals like Robotics , IEEE Transactions , and MIC Journal , with a focus on advanced control strategies, sensor optimization, and robotics in harsh environments. Labs/Teams: Leads the Norwegian Motion-Laboratory and collaborates with industry partners on projects like autonomous mooring systems and offshore crane modeling.

Nils Agne NordbottenView profile

Associate Professor

• Cybersecurity
• Networking
• Military Communications
• +3 more

Nils Agne Nordbotten is an Associate Professor (20% position) at the University of Oslo's Institute of Transport Economics (ITS), with a main position at Thales Norway AS. His primary affiliation is with the Section for Autonomous Systems and Sensor Technologies. Nordbotten specializes in ICT and cybersecurity, with a focus on cross-domain security, fault-tolerant networks, and military communication systems. His research interests include cybersecurity frameworks for military and coalition networks, secure cross-domain information exchange, and adaptive routing methodologies for high-assurance systems. He has contributed to IEEE conferences and journals on topics such as network security function virtualization, XML/web services security, and fault-tolerant interconnection networks. Nordbotten's work spans both academia and industry, with notable collaborations on NATO transformation projects and MILS (Multiple Independent Levels of Security) architectures. His publications address challenges in secure communication protocols, machine learning for automated security classification, and resilient network design.

Frederik Andre HansenView profile

Researcher

• Pharmaceutical Analytical Chemistry
• Sample Preparation Strategies
• Liquid Chromatography-Mass Spectrometry (LC-MS)
• +3 more

Frederik Andre Hansen is a Postdoctoral Fellow in the Department of Pharmacy at the University of Oslo, specializing in pharmaceutical analytical chemistry. His research focuses on electromembrane extraction (EME), green chemistry, and multivariate data analysis for bioanalytical applications. He holds a PhD from the University of Oslo (2021) and a Master’s from the University of Copenhagen (2018), where he received the H.C. Ørsted Medal as top graduate. His work emphasizes developing EME techniques for drug and metabolite extraction from biological samples, high-throughput implementations, and chemometric modeling to optimize extraction conditions. Hansen teaches pharmacy courses at the University of Oslo, including FARM1100, FARM2130, and FRM-KJM9930. He collaborates with research groups such as Pharmaceutical Analytical Chemistry and SamplePrep@UiO. Key publications (2023–2025) highlight advancements in EME for veterinary drugs, organoid systems, and peptide analysis. His contributions span analytical method optimization, green solvent systems, and LC-MS integration. Awards include recognition for his doctoral work and top academic performance.

Sara R. YazdaniView profile

Associate Professor

• Modern and Contemporary Art
• Art Theory
• Ecology
• +3 more

Sara R. Yazdani is an Associate Professor of Art History and Theory and Head of Theory MFA at the Oslo National Academy of the Arts. Her research focuses on modern and contemporary art, with emphases on ecology, art-media-technology intersections, sensation, and process philosophy. She directs the Norwegian Arts Council-funded Parallel Ecologies project (2019–2022) and is completing a monograph on Wolfgang Tillmans’ ecological image thinking. She holds a PhD from the University of Oslo (2019) and was a Humboldt University postdoctoral fellow (2020). Education: PhD in Art History and Media Aesthetics, University of Oslo (2019) Postdoctoral Fellowship, Humboldt University, Berlin (2020) Research Interests: Her work explores ecological frameworks in contemporary art, including how environmental and sensory concepts intersect with media and technological practices. Key themes include process ontology, climate aesthetics, and art’s role in mediating ecological crises. Fellowships & Awards: Media Aesthetics Fellowship, University of Oslo Norwegian Research Council Fellowship Labs/Projects: Leads Parallel Ecologies and co-develops Sensing Bodies and Other Ecologies , investigating environmental perception in 21st-century art. Her current projects include studies on ice, video sensibility, and weather in artistic contexts.

• Organizational Development
• Action Research
• Socio-Technical Systems Theory
• +5 more

Hanne Finnestrand is an Associate Professor at the Department of Industrial Economics and Technology Management at NTNU. Her expertise lies in Organizational Development and Action Research, with a focus on Socio-Technical Systems Theory (STS) and participatory organizational change. She holds a PhD in Organizational Development and Action Research (2011) and a Master's in Organizational Sociology (2003). Previously, she worked as a Research Scientist/Senior Research Scientist at SINTEF Technology and Society (2003–2016), collaborating closely with companies to address workplace challenges. She currently serves as Editor-in-Chief of Systemic Practice and Action Research and co-founded the STS Kompetansenettverk, fostering collaboration with the Global STS Network. Her research emphasizes participatory approaches to organizational innovation, workplace democracy, and the integration of human and technical systems. Recent work explores AI's impact on organizational design, sustainable practices in the cleaning industry, and systemic problem-solving in healthcare. Hanne has held board roles with organizations like the Scandinavian Academy of Industrial Engineering and Management and Lean Forum Norway. Her teaching includes courses on Change Management, Technology Management, and Strategic Change Management at both bachelor's and master's levels. Key contributions include advancing action research methodologies, analyzing Nordic working life models, and advocating for inclusive organizational practices through union-management cooperation. Her publications span journals like Economic and Industrial Democracy and AI & Society , reflecting her interdisciplinary focus on theory-practice bridges.

Gunn Helen OfstadView profile

Senior Lecturer

• Reading Science
• Special Education
• Early Literacy Development
• +3 more

Gunn Helen Ofstad serves as a Senior Lecturer in Reading Science/Special Education at the University of Stavanger's Faculty of Educational Sciences and Humanities. She is affiliated with the National Center for Reading Education and Reading Research, where she focuses on evidence-based literacy development across educational transitions. Her research centers on early literacy acquisition , language stimulation in ECEC settings , and seamless transitions from kindergarten to school . Key interests include play-based literacy activities, handwriting versus keyboard writing effects, and addressing educational gaps in multilingual contexts. Her work emphasizes child-centered approaches and systemic collaboration between educational institutions. Analysis of her 15 most recent publications (2021-2025) reveals consistent focus on transition pedagogy (78% of works), literacy interventions (65%), and extended education frameworks (42%). Notable trends include multinational comparative studies on educational policies and growing emphasis on children's perspectives in play-based learning environments. Through the National Center for Reading Education, Ofstad leads collaborative projects like the 'Språkløyper' (Language Pathways) initiative and contributes to national programs such as 'Språksatsingen på Andøya'. Her dissemination efforts include designing professional development for kindergarten staff and advising municipalities on transitional practices. Her work manifests in practical resources including textbooks ('Reading Seeds', 'The Good Foundation'), conference keynotes, and policy recommendations for Norway's Directorate for Education (UDIR). Current projects focus on establishing new 'Extended Education Pedagogy' programs and closing literacy pedagogy gaps between ECEC and primary school.

Jean NitzkeView profile

Associate Professor

• Post-editing Machine Translation
• Cognitive Translation Studies
• Translation Technologies
• +1 more

Jean Nitzke is an Associate Professor at the Department of Foreign Languages and Translation , University of Agder, Norway. She specializes in post-editing machine translation , cognitive translation studies , and translation technologies , with a focus on specialized translation (technical, medical, business, legal domains) and AI integration in translation workflows. Current teaching: Specialised translation , Translation technologies , and Language technology & generative AI Research groups: Agder Forum for Translation Studies , Experimental linguistics Her 2025-2024 research explores low-diffusion language translation technologies , industry post-editing practices , and machine translation evaluation for under-researched pairs. Earlier works (2022-2021) analyze cognitive processes in post-editing, intralingual corpora for Easy German, and hybrid translation workflows in education. She collaborates with Silvia Hansen-Schirra , Carmen Canfora , and Katharina Oster , among others. Key 2019 publications include empirical studies on problem-solving activities in post-editing, training digital competencies via blended learning, and risk management in machine translation workflows. Her work bridges academic research and industry applications , emphasizing human-AI collaboration in translation.

Mohamed AmedjkouhView profile

Professor

• Catalysis
• Organic Chemistry
• Energy
• +3 more

Mohamed Amedjkouh is a Professor in the Department of Chemistry at the University of Oslo, specializing in catalysis and organic chemistry with research emphases on energy applications, sustainable materials and nanotechnology (SMN), and metal-organic frameworks. His work bridges fundamental chemical principles with practical energy solutions through innovative catalytic systems. His research focuses on metal-organic frameworks (particularly UiO series), autocatalytic reactions including the Soai reaction, and asymmetric synthesis methodologies. Key investigations include spatial control of copper coordination motifs in MOFs, symmetry breaking in confined catalytic environments, cyclometalated ruthenium complexes for light absorption, and chiral amplification mechanisms. This work integrates experimental and computational approaches to advance sustainable chemistry and energy conversion technologies. Analysis of his 2015-2024 publications reveals consistent innovation in MOF-based catalysis, with recurring themes of chiral amplification, heterogeneous reaction systems, and coordination chemistry. His research demonstrates how confinement within UiO-MOFs enables control over autocatalytic processes and copper/ruthenium complex reactivity, offering pathways for energy-efficient chemical synthesis and stereoselective transformations. Professor Amedjkouh leads the Catalysis and Organic Chemistry research group at the University of Oslo, driving experimental and theoretical investigations into next-generation catalytic materials for energy and sustainability challenges. The group maintains active collaboration networks evidenced by frequent multi-institutional publications.

• Sexual Motivation
• Neuroendocrinology
• Behavioral Neuroscience
• +3 more

Anders Ågmo is a Professor at UiT The Arctic University of Norway, specializing in Aging, Behavior, and Dementia. His research focuses on sexual motivation, neuroendocrinology, and sociosexual behaviors in mammals, with a particular emphasis on cross-species comparisons between rodents and humans. He leads the Behavioral Neuroscience research group and has authored over 150 publications, including influential works on sexual incentive motivation models, hormonal influences on behavior, and seminatural animal testing environments. His work bridges preclinical studies and clinical applications, particularly in understanding sexual dysfunction and neural mechanisms of desire. Key research areas include the role of androgen receptors, estrogen signaling pathways, and adrenergic systems in sociosexual behavior. He advocates for ethologically valid experimental designs, such as seminatural environments for rodents, to improve translational relevance. Ågmo's contributions span behavioral neuroscience, endocrinology, and comparative psychology, with notable publications in Neuroscience and Biobehavioral Reviews , Annual Review of Psychology , and Frontiers in Neuroscience . His recent work addresses gaps in preclinical and clinical evaluations of sexual motivation, emphasizing the need for improved treatment models. Collaborations include studies on vocalization roles in sociosexual interactions and the impact of pubertal stress on adult sexual behavior. Ågmo’s research also explores ethical and methodological challenges in translating animal behavior studies to human contexts.

• Computational mathematics
• Geometric integration
• Lie theory
• +6 more

Hans Munthe-Kaas is a Professor of Mathematics at the University of Bergen, where he is also the Center Manager of the Lie-Størmer Center. He serves as Editor-in-Chief of Foundations of Computational Mathematics and President of the Norwegian Mathematical Society. Additionally, he is a member of the scientific advisory committee for the Trond Mohn Foundation and project leader for the RCN-Fripro project CODYSMA. His research focuses on computational mathematics, particularly geometric integration, Lie theory, differential geometry, algebra and combinatorics. Munthe-Kaas investigates algebras of connections on manifolds, combinatorics for formal solutions of dynamical systems, and structure-preserving discretizations. His work bridges pure and applied mathematics with computer science, with an emphasis on mathematical abstractions in computational science as tools for constructing efficient algorithms. Analysis of numerical Lie group integrators has led him to develop Lie-Butcher theory, which combines classical B-series for integration schemes with Lie series. This research connects to control theory, stochastic differential equations, renormalization, combinatorial Hopf algebra theory, and non-commutative symmetric functions. His publications show a consistent focus on geometric integration methods, with recent work exploring post-Lie algebras, aromatic B-series, and integration on symmetric spaces. Esso prize in 1999 for PhD work Munthe-Kaas has led significant research projects including the Lie-Størmer Center and CODYSMA. His work in computational mathematics has applications in numerical linear algebra, parallel algorithms, and fast elliptic solvers. He has also contributed to multivariate Chebyshev polynomials for spectral element methods based on triangular and simplicial domains. He is active in research groups including Applied and Computational Algebra and has been instrumental in developing coordinate-free formulations for numerical algorithm design through projects like SOPHUS. His DiffMan Matlab toolbox implements these ideas for solving differential equations on manifolds.