Find Academic Supervisors

• Cryptography
• Blockchain Technology
• 5G Network Security
• +7 more

Professor Danilo Gligoroski is affiliated with the Norwegian University of Science and Technology (NTNU) under the Department of Information Security and Communication Technology. His work bridges cryptography, blockchain technology, and 5G network security, with a focus on decentralized systems and privacy-preserving protocols. Key research trends in his recent publications include blockchain applications in healthcare and reseller markets, verifiable delay functions for consensus mechanisms, and cryptographic frameworks for chat-based systems. He explores data integrity, network coding, and scalable storage solutions for blockchain ecosystems. Major collaborations include co-authors like Mayank Raikwar, Katina Kralevska, and Anton Karl Oskar Hasselgren. His work often intersects with GDPR compliance, network slice isolation, and secure service implementation in modern telecommunications.

• Computational mechanics
• Contact mechanics
• Coupled problems
• +12 more

Kjell Magne Mathisen is a Professor in the Department of Structural Engineering at the Norwegian University of Science and Technology (NTNU), specializing in computational mechanics and numerical methods. His work bridges advanced engineering computation with practical applications in structural analysis, contact mechanics, and fluid-structure interaction. Research Focus: Computational mechanics, Isogeometric analysis, Finite Element Method, Nonlinear structural analysis, Fluid-structure interaction, Error estimation. Affiliation: NTNU, Department of Structural Engineering. His recent publications (2019-2024) emphasize wind-resistant bridge design using ALE-VMS and Isogeometric methods, machine learning applications in additive manufacturing, and adaptive refinement techniques for thin plates. Collaborations with leading researchers like Yuri Bazilevs and Trond Kvamsdal highlight cross-institutional efforts. Professor Mathisen's technical competencies include software architecture for engineering computations, parallel processing, and multiscale modeling, with historical contributions to shell analysis, sparse matrix methods, and contact problem simulations.

• Computer Architecture
• Parallel Processing
• Multi-core Programming
• +4 more

Professor Lasse Natvig is a faculty member at the Norwegian University of Science and Technology (NTNU) in the Faculty of Information Technology and Electrical Engineering , specifically the Department of Computer Science . His research focuses on computer architecture , parallel processing , multi-core programming , and energy-efficient computing . His work includes studying vectorization techniques , cache management , power emulation models , and task scheduling policies to improve performance and energy efficiency in modern processors. He has published extensively in journals like Expert Systems With Applications , The Journal of Supercomputing , and Lecture Notes in Computer Science , with recent 2024 work on micromobility simulation tools. Lasse Natvig's research spans computer architecture , green computing , parallel algorithms , and energy measurement through publications addressing vectorization , cache optimization , and heterogeneous processing . His articles reveal a consistent focus on performance-energy tradeoffs , hardware-software co-design , and simulation tools for computational challenges. Email: lasse.natvig@ntnu.no

Giles RegerView profile

Senior Lecturer

• Theorem Proving
• Runtime Verification
• Formal Methods
• +3 more

Giles Reger is a Senior Lecturer in the School of Computer Science at the University of Manchester , affiliated with the Formal Methods Group . His academic journey includes a BA in Computer Science from the University of Cambridge (2009), an MSc in Advanced Computer Science (University of Manchester, 2010) with the Highest Achiever of the Year Award , and a PhD (University of Manchester, 2014) on runtime verification. Research Interests: Theorem Proving (via Vampire system) and Runtime Verification (via MarQ and VyPR tools). Collaborations: Projects with University of Oxford, ARM, AWS, CERN, and SnT Luxembourg. Recent Work: Giles' publications span 2019-2016, focusing on Vampire's higher-order reasoning, symmetry avoidance in finite model finding, neural guidance in theorem proving, and runtime verification for Python web services (VyPR2). Trends include integrating machine learning with formal methods and advancing logic-based verification tools. Scientific Awards: Highest Achiever of the Year Award (MSc, University of Manchester, 2010) Vampire's multiple trophies at CASC and SMT-COMP competitions Advising: Supervises PhD students Michael Rawson, Ahmed Bhayat, and Joshua Dawes. Labs/Teams: Contributes to the Vampire team and the VyPR project.

Stephan OepenView profile

Professor

• Computational Linguistics
• Natural Language Processing
• Language Technology
• +3 more

Stephan Oepen is a Professor at the Department of Informatics, University of Oslo, specializing in Computational Linguistics and Natural Language Processing (NLP). He leads the Research Group for Language Technology and serves as Academic Chair in Artificial Intelligence for the Circle U European University Alliance. His research bridges formal linguistics with large-scale computation, focusing on semantic parsing, dependency structures, and multilingual language models. 2002–present: Researcher → Professor at UiO 2011–2017: Head of Language Technology Research Group 2019–20: Section Head for Machine Learning 2021–24: Department Head for Informatics Current projects include HPLT (High-Performance Language Technologies), Nordic Language Processing Laboratory (NLPL), and OpenEuroLLM . He co-directs the 2017 ACL Shared Task on Extrinsic Parser Evaluation and contributes to international NLP conferences like ACL, EMNLP, and CoNLL. Recent publications focus on: Uniform semantic graph representations Hybrid parsing architectures Continual training for small languages Diagnostic parser evaluation Copyright implications in LLMs Community language resource infrastructure He actively participates in editorial boards and technical coordination roles, including the LUMI Scientific Advisory Group and Horizon Europe's High-Performance Language Technologies project.

Fabian BarrasView profile

Research Fellow

• Earthquake Dynamics
• Fault Mechanics
• Computational Geophysics
• +4 more

Fabian Barras is a Research Fellow at the NJORD Centre for Studies of the Physics of the Earth within the Department of Geosciences, Faculty of Mathematics and Natural Sciences, University of Oslo. His research focuses on the fundamental physics of earthquake dynamics and fault mechanics through computational modeling and theoretical analysis. His primary research interests span Earthquake Dynamics , Fault Mechanics , and Computational Geophysics , with specific expertise in frictional rupture propagation, slip pulses, and the transition from laboratory to natural earthquake scales. Barras develops and utilizes advanced numerical tools including the Akantu finite-element library and cRacklet boundary integral method for simulating dynamic fracture processes. Analysis of his 15 most recent publications reveals a strong emphasis on minimal modeling approaches to understand fundamental rupture phenomena, with particular focus on shear localization, stress drops, and the crack-like behavior of frictional ruptures. His work bridges theoretical physics with geophysical applications, frequently appearing in high-impact journals including Nature Communications, Physical Review journals, and Journal of Geophysical Research. Barras actively collaborates with leading researchers across international institutions including École Normale Supérieure (Paris), Hebrew University of Jerusalem, and ETH Zurich. His work is associated with major research initiatives including the ERC BREAK project, MODIFLOW, and UNLOC. His technical contributions include significant software development for high-performance computational geophysics, particularly through the open-source Akantu and cRacklet libraries that enable advanced simulation of contact mechanics and dynamic fracture phenomena at multiple scales.

John Markus BjørndalenView profile

Professor

• Cyber-Physical Systems
• Internet of Things (IoT)
• Machine Learning
• +6 more

Professor John Markus Bjørndalen is affiliated with the Department of Informatics at UiT The Arctic University of Norway . He is a member of the Cyber Physical Systems (CPS) research group and actively contributes to the Distributed Arctic Observatory project. His work focuses on sustainable distributed systems for Arctic research. Research interests include: Cyber-Physical Systems (CPS) Internet of Things (IoT) for resource-constrained environments Machine learning applications in Arctic ecosystem monitoring Concurrency models like CSP Weather-aware energy optimization Distributed version control scalability Projects involve: Distributed Arctic Observatory (DAO) for sustainable research Improved resource control of fisheries using deep learning

• Behavior Analysis
• Evolutionary Psychology
• Verbal Behavior
• +3 more

Carsta Simon is a Professor in the Department of Psychosocial Health at the University of Agder. She holds a Ph.D. in Behavior Analysis from Oslo Metropolitan University and a master's degree from Stockholm University, UC Davis, and TU Braunschweig. Her research focuses on the interaction between behavior and environment, particularly analyzing verbal behavior units and exploring links between Darwinian and ontogenetic selection processes. She is an alumna of the German Academic Scholarship Foundation and fluent in English, Norwegian, Swedish, and German. Her work spans empirical studies on conversational dynamics and conceptual inquiries into evolutionary behaviorism. Notable research includes investigations into active listening responses, the Nordic cultural practice of Dugnad, and multiscale analyses of verbal behavior. She has published widely in journals like Perspectives on Behavior Science and Behavioral Processes , and engages in public outreach through podcasts and science fairs. Dr. Simon’s academic leadership includes organizing symposia on evolutionary lenses in behavior analysis and chairing sessions at international conferences. Her theoretical contributions emphasize a molar-multiscale framework for understanding behavioral units across temporal scales.

• Printmaking
• Materiality Studies
• Memory Theory
• +3 more

Oliver Hambsch serves as a Research Fellow at the Department of Art and Craft, Oslo National Academy of the Arts, specializing in printmaking through interdisciplinary practice at the intersection of materiality and memory studies. His educational background includes a Postgraduate Diploma in Fine Art (2019) and Master of Fine Art (2022) from the University of Cape Town, establishing foundational expertise in contemporary artistic methodologies. Hambsch's research interrogates printmaking processes as analogical parallels to personal memory systems, with particular focus on hauntological perspectives of material objects. His work examines how analog media like woodcuts and VHS embody non-volatile memory characteristics, exploring material decay as metaphor for cognitive fragmentation. Through tactile engagement with print processes, he investigates how paratextual information in artistic production constructs mnemonic frameworks that challenge digital-era memory paradigms. His 2024-2025 output reveals consistent thematic concentration on material memory manifestations, with exhibitions and lectures analyzing woodcut/VHS materiality, date-specific memory installations, and collaborative cross-cultural memory projects. These works demonstrate evolving exploration of how printmaking's physical processes—ink absorption, plate erosion, and impression transfer—mirror neurological memory encoding and retrieval mechanisms. As an active PhD researcher, Hambsch contributes to artistic knowledge production through practice-based inquiry, with recent outputs including museum exhibitions at Oslo National Academy venues and presentations at the Artistic Research Forum. His collaborative projects with international artists extend his material memory investigations into collective cultural memory frameworks.

• Machine Learning
• Bioinformatics
• Data Management Systems
• +5 more

Edvard Pedersen is an Associate Professor in the Department of Computer Science at UiT The Arctic University of Norway. His research focuses on bioinformatics, machine learning applications in medical imaging, and data management systems for biological datasets. He has contributed to projects involving genomics pipelines, metagenomic analysis, and VR visualization of biological networks. Pedersen also engages in educational research, such as improving course evaluation methods through student panels. His work spans interdisciplinary areas including computational biology, cloud computing infrastructure for scientific workflows, and synthetic data ethics. Notable contributions include the GeStore system for metagenomic pipelines and collaborative studies on tumor-infiltrating lymphocytes quantification using machine learning. Pedersen frequently collaborates with researchers in medicine, marine biology, and computer science. Recent research highlights include ethical challenges in synthetic data usage (2023), VR-based biological network visualization (2021), and pragmatic machine learning approaches for cancer diagnostics (2022). His publications demonstrate a strong emphasis on practical solutions for large-scale biological data challenges.

• Multiphase Flow
• Computational Physics
• Lattice Boltzmann Method
• +3 more

Aritra Mukherjee is a Research Fellow at the Norwegian University of Science and Technology (NTNU), affiliated with the Department of Energy and Process Engineering and the Department of Language and Literature. His work integrates computational physics, fluid dynamics, and thermal engineering to address complex multiphase flow phenomena and environmental modeling challenges. His research focuses on multiphase flow dynamics, phase-change processes, and high-performance computational methods such as the lattice Boltzmann method. He also explores applications in wildfire prediction, thermal hydraulics, and nanostructured surface characterization. His contributions span both fundamental fluid mechanics and applied environmental science. Key research themes include low Mach number modeling for multicomponent flows, GPU-accelerated simulation frameworks, and dual-phase-lag heat conduction analysis. His work bridges mesoscopic fluid dynamics with large-scale environmental systems, emphasizing algorithmic innovation for multiphase systems. Notable outreach includes a 2024 presentation at the International Conference on Numerical Methods in Multiphase Flows in Reykjavik, Iceland. His lab affiliations include the Strømningstekniske laboratorier (Fluid Mechanics Laboratory) at NTNU.

Mikael MortensenView profile

Professor

• Computational Fluid Dynamics (CFD)
• Turbulent Flows
• Spectral Methods
• +6 more

Mikael Mortensen is a Professor in Fluid Mechanics at the University of Oslo 's Department of Mathematics. His research spans Computational Fluid Dynamics (CFD), turbulent flow modeling, spectral numerical methods, and applications in biomedical flows, turbulent combustion, and space physics. He contributes to the 4DSpace strategic research initiative studying ionospheric instabilities. Primary Affiliation: Department of Mathematics, University of Oslo Collaborations: Center for Biomedical Computing (Simula), KAUST, Chinese Academy of Sciences Research Themes High-performance spectral Galerkin methods ( Shenfun ) Direct Numerical Simulation of turbulence ( spectralDNS ) Space plasma physics and ionospheric turbulence Multiphase flow modeling in industrial contexts Machine learning applications in fluid dynamics Publication Trends Mortensen's recent work focuses on spectral methods for turbulence modeling, plasma instability simulations, and machine learning applications in fluid dynamics. His articles demonstrate expertise in Python-based high-performance computing frameworks for CFD and interdisciplinary applications in space physics and biomedical engineering. Supervision PhD Students: Anna Piterskaya (2019-2025), Tormod Landet (2016-2019), Christopher Friedemann (2018-2020) Master Students: Jacob H. Hudtwalcker, Jacob T.S. Langmoen, Kei Yamamoto, Sverre Vinje Collaborative Initiatives Co-founder of the Kobe-Oslo Partnership (10 MNOK funding from Norwegian Research Council) Organized 15+ international workshops on plasma simulations Active in Python-based scientific computing education

• Translation Theory
• Intercultural Communication
• Semantics
• +6 more

Barbara Jadwiga Gawronska Pettersson is a Professor at the Department of Foreign Languages and Translation, University of Agder, Norway. Born in Słupsk, Poland, she holds an MA in Scandinavian languages from Adam Mickiewicz University (Poznań) and a PhD in linguistics from the University of Lund. Education: MA in Scandinavian Languages, Adam Mickiewicz University PhD in Linguistics, University of Lund Her research spans translation theory, intercultural communication, morphology (aspect and definiteness), collocations in translation, and Pomerania's history. She has published extensively on multimodal children's literature translation, gender representation in translated texts, and literary responses to Pomerania's complex cultural heritage. Recent publications focus on Nordic medieval ballads in digital contexts, translator challenges in fantasy genres, and Pomerania's literary representations during and after conflict. She has contributed to the Agder Forum for Translation Studies and the 'Texts, Interpretations, Cultures' research group. Scientific Awards: Nominated for the Angelus Award (2014) for 'Potępieńcy (The Condemned Ones)' Prize-winning short stories 'Wheatherby' (2016) and 'Dom pod północnym lasem' (2021) As a teacher, she offers courses in Introduction to Linguistics, Translation Theory, Text Linguistics, and Intercultural Communication, guiding BA and PhD projects. Her literary career includes novels 'Rozbita Tarcza' (2018) and 'Alter' (2020), alongside short story collections exploring cultural identity and human conditions.

Ann Zanette Tsigaridas GlørstadView profile

Associate Professor

• Viking Age Scandinavia
• Cultural Interaction
• Identity Formations
• +6 more

Ann Zanette Tsigaridas Glørstad is an Associate Professor in Archaeology at the Department of Archaeological Collections, Museum of Cultural History, University of Oslo. With an M.Phil in GIS and remote sensing from the University of Cambridge (2001) and a PhD in Archaeology from the University of Oslo (2010), she specializes in Viking Age Scandinavia (750-1050 AD). Her educational background includes: PhD in Archaeology, University of Oslo (2010) M.Phil in GIS and remote sensing, University of Cambridge (2001) Dr. Glørstad specializes in Viking Age Scandinavia (750-1050 AD), with particular focus on cultural interaction, identity formations, burial rituals, and the political ritualization of aesthetics and material culture. She has conducted in-depth studies on penannular brooches and disc-on-bow brooches in Norway. Her research also explores current uses and narratives of the Viking Age in contemporary society. She has co-organized significant archaeological excavations including the Hogganvik runestone excavation (2010) and the Langeid Viking burial site (2011). Analysis of her 15 most recent publications reveals consistent focus on material culture analysis, particularly Viking Age jewelry and burial practices, to understand social and political dynamics. Her work demonstrates strong interdisciplinary approach, connecting archaeological evidence with theoretical frameworks from anthropology and history. Key research trends include examination of religious syncretism during Christianization, gender studies through material culture, and cross-cultural interactions across Europe during the Viking Age. Her scholarly contributions include: Membership on editorial boards of Primitive Tider (2001-2008) and Viking (2009-2011) Leadership of the Centre for Viking-Age Studies (ViS) research group (2017-2019) Co-editing major volumes including 'Viking-Age Transformations' (2018) and 'Charismatic Objects' (2018) Visiting scholarship at McDonald Institute/University of Cambridge (2019) Dr. Glørstad's research demonstrates exceptional methodological rigor in artifact analysis combined with theoretical sophistication, making significant contributions to understanding cultural transformation during one of Scandinavia's most dynamic historical periods.

Basil EllView profile

Researcher

• Semantic Web
• Natural Language Processing
• Knowledge Base Population
• +5 more

Basil Ell is a Researcher at the University of Oslo's Department of Data and Knowledge Management, affiliated with SIRIUS labs. He holds a PhD from Karlsruhe Institute of Technology (KIT) and has held postdoctoral positions at Bielefeld University's CITEC. His work bridges Semantic Web technologies and Natural Language Processing, focusing on knowledge base population, semantic parsing, and information extraction from text/tables. He splits his time between Oslo and Bielefeld, contributing to projects like semantically enhanced Virtual Research Environments and table understanding systems. Education: B.Sc./M.Sc. in Computer Science from Mannheim University of Applied Sciences, Pohang University of Science and Technology, and IIT Madras. PhD (2015) from KIT under Prof. Rudi Studer. Research Trends: Recent publications emphasize semantic data integration (e.g., materials informatics), link prediction in knowledge graphs, and clinical trial evidence synthesis. His work often combines RDF data structures with NLP techniques. Labs/Teams: Active in SIRIUS labs (Oslo) and previously at CITEC/Bielefeld's Semantic Computing group.