Find Academic Supervisors

• Verification and Validation
• Search-Based Software Engineering
• Autonomous Driving
• +3 more

Shaukat Ali serves as Research Professor and Head of the Department of Engineering Complex Software Systems at Simula Research Laboratory, concurrently holding the title of Chief Research Scientist. His academic leadership drives innovation at the critical nexus of quantum computing, artificial intelligence, and software engineering, with concentrated expertise in verification, validation, and testing methodologies for complex systems including cyber-physical infrastructures and autonomous robotics. His primary research domains encompass: Verification and Validation Search-Based Software Engineering Autonomous Driving Systems Cyber-Physical Systems Engineering Digital Twin Technologies Quantum Software Engineering Analysis of recent publications (2024-2025) reveals a decisive trend toward quantum-AI convergence in software engineering, particularly through quantum software testing frameworks and AI foundation models applied to cyber-physical systems. His work systematically addresses noise mitigation in quantum hardware, uncertainty quantification in adaptive robotics, and novel testing paradigms using vision-language models for industrial robotics—demonstrating both theoretical rigor and industrial applicability. As department head, Ali spearheads strategic research directions in complex software systems, fostering cross-disciplinary collaboration while actively shaping quantum software engineering through workshops like QAI2024 and Q-SANER 2024. His invited presentations at venues including JYU Quantum Electronics and EU-Korea Quantum Forums underscore his influence in defining emerging research landscapes.

Crina DamsaView profile

Professor

• Higher Education
• Collaborative Learning
• Interdisciplinary Learning
• +4 more

Crina Damsa is a Professor at the Department of Education, University of Oslo. Her research focuses on collaborative learning, interdisciplinary learning, and the role of digital technologies (including AI) in knowledge work and education. She leads projects like Unpacking collaboration: Multimodal analysis and combined method designs and Learning Ecologies in Higher Education , and is involved in research groups such as HEDWORK and LIDA. PhD in Educational Research, University of Oslo (2013) MSc in Learning Design and Technology, Utrecht University (Netherlands) BA in Language and Literature, Babes-Bolyai University (Romania) Her work examines sociocultural and sociomaterial aspects of learning, with a focus on student-centered environments, design-based research, and multimodal learning analysis. She supervises PhD students and contributes to methodological advancements in learning sciences. Editorial roles: Area Editor for Learning in Context , member of editorial boards for journals like Journal of the Learning Sciences and Frontline Learning Research Projects: Academic Hospitality in Interdisciplinary Education (AHIE) , Digital Integration of Video Assessment (DIVA) , Digital Tracing of Collaborative Learning (DigiT) , Global Teacher Education (GatherED)

Per-Arne AndersenView profile

Associate Professor

• Artificial Intelligence
• Reinforcement Learning
• Tsetlin Machines
• +7 more

Per-Arne Andersen is an Associate Professor at the Department of Information and Communication Technology within the University of Agder . His research focuses on artificial intelligence , reinforcement learning , Tsetlin machines , and deep learning , with applications in real-time strategy games , industrial environments , and IoT systems . Projects: RESTORE Research Groups: CAIR - Center for Artificial Intelligence Research, CIEM - Center for Integrated Crisis Management, Intelligent Mechatronics (iTron) His work explores safe and sustainable reinforcement learning , interpretable AI , and generative environment modeling . He has developed frameworks like CaiRL and CostNet for high-performance RL environments and goal-directed learning. Recent publications include advancements in Tsetlin automaton analysis , GNSS jamming classification , and road quality detection . Articles from 2025-2016 span machine learning , computer vision , and environmental modeling . He contributes to IEEE , Springer , and LNCS publications, with a focus on interdisciplinary AI applications in crisis management , cybersecurity , and industrial optimization .

• 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.

Jaakko Timo Henrik JärviView profile

Professor

• Generic Programming
• Programming Language Design
• Graphical User Interfaces (GUI)
• +7 more

Jaakko Timo Henrik Järvi is a Professor in the Department of Informatics at the University of Bergen, Norway, with additional affiliations at the University of Turku, Finland. His research focuses on programming language design, generic programming, and human-computer interaction, particularly in GUI frameworks and software reuse. His research interests include generic programming, programming language design (especially the Magnolia language), high-performance computing, array programming, and GUI engineering. He emphasizes formal methods and algebraic specifications to build reusable and efficient software systems. His work bridges theoretical foundations with practical applications in software development and education. The recent publications highlight a strong trend in declarative GUI frameworks, multi-selection models, and generic programming. His work explores domain-specific languages for GUI structure manipulation, reusable selection semantics across platforms, and optimizing array computations using the Mathematics of Arrays. These efforts reflect a consistent focus on software abstraction, correctness, and reusability. Jaakko Järvi has supervised doctoral students, including Tetiana Yarygina, whose dissertation explored microservice security. While no specific grants are detailed, his work on VisAST was supported by the Research Council of Norway (Project 250683), indicating active external funding. He frequently collaborates with researchers like Magne Haveraaen, Knut Anders Stokke, and Sean Parent. He contributes to tools and frameworks such as the MultiselectJS library and the VisAST educational tool. These are outcomes of collaborative research teams focused on improving software development practices and computer science education.

• Project management
• Human judgment
• Digitalization in the public sector
• +5 more

Magne Jørgensen serves as a Research Professor in the Department of IT Management at Simula Metropolitan, a research center operated by Simula Research Laboratory in collaboration with Oslo Metropolitan University. His work bridges academic research and practical public sector IT implementation, focusing on evidence-based solutions for digitalization challenges. His research centers on critical gaps in software project management, particularly examining human judgment biases in estimation, benefits realization frameworks for agile public sector projects, and the statistical properties of software productivity distributions. He investigates how front-end project phases impact success in Norwegian government IT initiatives and develops methods for more accurate cost-benefit analysis in digital transformation. Analysis of his 15 most recent publications reveals three dominant research trajectories: (1) Agile adaptation challenges in public sector contexts, (2) Empirical studies of productivity variation and estimation bias, and (3) Benefits management frameworks connecting technical delivery to organizational outcomes. His work consistently employs mixed-method approaches combining systematic literature reviews with Norwegian case studies. Jørgensen actively contributes to the EDOS research center at SimulaMet, collaborating with public sector agencies like NAV and the Ministry of Finance. His frequent presentations at governmental seminars (e.g., for Statsministerens kontor and Finansdepartementet) demonstrate direct policy impact, while his Norwegian-language publications target local practitioners through outlets like Magma and Stat & Styring.

Yuichi MoriView profile

Professor

• Gastroenterology
• Artificial Intelligence in Medicine
• Colorectal Cancer Detection
• +3 more

Professor Yuichi Mori is a leading academic at the University of Oslo , affiliated with the Faculty of Medicine and the Department of Health Management and Health Economics . He serves as a Consultant Gastroenterologist at Oslo University Hospital and a Visiting Lecturer at Showa University Northern Yokohama Hospital in Japan. His work focuses on the implementation of artificial intelligence in clinical gastroenterology , particularly in colonoscopy and colorectal cancer detection.

• Biomass Gasification
• Computational Fluid Dynamics
• Combustion Engineering
• +5 more

Tian Li is an Adjunct Associate Professor at the Department of Energy and Process Engineering, Faculty of Engineering, Norwegian University of Science and Technology (NTNU). Based at the Varmeteknisk building on the Gløshaugen campus, Dr. Li is affiliated with the ComKin Group and has been actively involved in numerous research projects focused on biomass conversion and combustion technologies since 2011. Dr. Li's research primarily focuses on: Biomass gasification and combustion technologies Computational Fluid Dynamics (CFD) modeling of energy conversion processes Multiphase flow and reaction kinetics in thermochemical processes Turbulence modeling in combustion systems Development of simulation tools for bioenergy applications Over the past decade, Dr. Li has led or contributed to multiple significant research projects funded by the Norwegian Research Council and industrial partners, including BioCarbUp, GASPRO, GrateCFD, GAFT, BioCarb+, CenBio, and GasBio. These projects have focused on optimizing biomass conversion processes for sustainable energy production. Dr. Li's publication record shows consistent contributions to high-impact journals in the energy and combustion fields, with a strong emphasis on computational modeling approaches. The research demonstrates expertise in developing and validating models for biomass conversion processes, with applications ranging from industrial-scale biomass furnaces to fundamental particle-level phenomena. Dr. Li has developed significant expertise in various computational tools and programming languages: Software: OpenFOAM, ANSYS Fluent, ANSYS ICEM CFD, Star-CD, MFiX, CHEMKIN, LOGEsoft, LabVIEW Programming: C/C++, Python, Fortran, Matlab Through participation in major research centers like CenBio (Bioenergy Innovation Centre), Dr. Li has contributed to advancing Norway's bioenergy research capabilities and fostering collaboration between academia and industry in the sustainable energy sector.

Anya Helene BaggeView profile

Associate Professor

• Programming Language Design and Implementation
• Software Language Engineering
• Semantics of Programming Languages
• +8 more

Anya Helene Bagge is an Associate Professor in the Department of Informatics at the University of Bergen, where she is a researcher at the Bergen Language Design Laboratory. Her work focuses on programming languages and software language engineering, with strong ties to education and tool development. Research Interests: Programming language design and implementation Software language engineering Semantics of programming languages Domain-specific languages and language extensions Program transformation using Rascal, MPL, and Stratego/XT Aspect-oriented programming, especially Domain-Specific Aspect Languages Her recent publications reflect a consistent focus on software language engineering, refactoring, microservice security, and programming education. Themes across her work include language design, program analysis, and the development of educational tools and methodologies. Scientific Awards: The Realist Committee's Teaching Award 2016/17 Lecturer of the Year in Computer Science (Spring 2015) Anya Bagge actively supervises students, including PhD and Master’s candidates such as Tero Hasu, Kristoffer Haugsbakk, and Nina Andersen. She has been involved in numerous academic activities, including organizing the OOPSLE workshop and serving on program committees for conferences like SLE, HILT, and WCRE. She has also taught core courses including INF101, INF225, and INF328, demonstrating a strong commitment to both research and teaching. Labs and Teams: She is affiliated with the Bergen Language Design Laboratory , collaborating with researchers such as Magne Haveraaen, Eva Burrows, and Tero Hasu.

• Programming Theory
• Algebraic Methods in Software Development
• Programming Language Design
• +12 more

Magne Haveraaen is a Professor in the Department of Informatics at the University of Bergen, where he leads the Bergen Language Design Laboratory (BLDL). He is actively engaged in research on programming theory, formal methods, language design, and high-integrity systems. His work centers on algebraic specifications, generic programming, domain engineering, and the design of the Magnolia programming language. He has been a long-standing instructor of key courses such as INF220 (Program Specification) and INF222 (Programming Languages), and contributes to national and international academic forums. University: University of Bergen School: Faculty of Mathematics and Natural Sciences Department: Department of Informatics Academic Rank: Professor Email: magne.haveraaen@uib.no His research interests include programming language design, formal specifications, generic and mouldable programming, multicore and GPU computing, and algebraic methods in software development. He emphasizes correctness, reuse, and high-integrity software through theoretical and practical innovations. He has contributed extensively to the literature on algebraic reasoning, array programming, and domain-specific abstractions. The recent publications highlight a consistent focus on algebraic semantics, language design (especially Magnolia), array programming, and formal verification. Themes across these works include correctness by design, specification-driven development, and adapting programming models for modern architectures. His involvement in workshops like ARRAY, WGP, and CALCO underscores his leadership in programming language theory. No scientific awards are listed in the provided texts. He advises students and welcomes collaboration in programming theory, language design, and formal methods. He has led funded projects such as MoSIS and SHIP and is involved in the High Integrity Systems Forum. He organizes and participates in key conferences including NWPT, GPCE, and SCAM. He leads the Bergen Language Design Laboratory (BLDL), which focuses on experimental language design, and contributes to the SAGA initiative on scientific computing with algebraic abstractions. His work integrates theory with practical tooling and language implementation.

Tor-Morten GrønliView profile

Professor

• Internet of Things (IoT)
• Software Architecture
• Machine Learning
• +4 more

Tor-Morten Grønli serves as Professor at the Department of Technology, School of Economics, Innovation and Technology, Kristiania University College (Norway). He is also a Visiting Research Scholar at Copenhagen Business School's Department of Information Technology Management and an affiliate of the Center of Business Data Analytics (cbsDBA). Education PhD in Computer Science from Brunel University, London (2011) Master of Technology (with distinction) from Brunel University, London (2007) Research Focus Grønli leads research in context-aware systems, mobile/pervasive computing, and Internet of Things (IoT). He founded/directs the Mobile Technology Lab at Kristiania and has co-authored 70+ publications. Core expertise includes: IoT architecture and applications Machine learning for transport systems Mobile computing frameworks Blockchain-security integration Edge-cloud computing paradigms Publication Trends Recent works (2023-2025) demonstrate strong focus on converging IoT, blockchain, and AI technologies, particularly for intelligent transport and healthcare systems. Dominant themes include federated learning implementations, privacy-preserving architectures, and sustainable edge computing solutions, with increasing emphasis on real-world applications in medical diagnostics and public infrastructure. Professional Activities Founder/Director of Mobile Technology Lab General Chair: Norwegian Conference on ICT Co-organizer: International Conference on Mobile Web Editorial Board: International Journal of Pervasive Computing, Journal of Online Information Review, Computers & Electrical Engineering TPC Member for IEEE BigData, Percom, HICSS, COMPSAC Guest Editor for special issues in Future Generation Computer Systems

Dag SjøbergView profile

Professor

• Software Engineering
• System Development
• IT Systems
• +12 more

Dag Sjøberg is a Professor at the Department of Informatics (Ifi), University of Oslo . He also holds a part-time position at SINTEF Digital . His research focuses on empirical software engineering with emphasis on development processes , agile methodologies , technical debt , and programming skill assessment . Research Interests: Empirical methods (controlled experiments, case studies) Construct validity frameworks Agile and Lean practices Microservices architecture Software quality and maintainability Scientific Achievements: Led Simula Research Laboratory's Software Engineering department ranked #1 globally (2004-2008) Developed Guidelines for Construct Validity in software engineering research Extensive publication record in top venues like IEEE Transactions and Journal of Systems and Software Academic Background: Cand.scient. in Informatics (University of Oslo, 1987) PhD in Software Engineering (University of Glasgow, 1993) Professional Involvement: Co-founder and board member of three IT companies Former research director at Simula Research Laboratory (2001-2008) Current head of the Programming and Software Engineering research section at Ifi

Holger PötzschView profile

Professor

• Media Studies
• Critical Media Literacy
• Game Studies
• +7 more

Holger Pötzsch is a Professor of Media and Documentation Science at the Department of Language and Culture, UiT The Arctic University of Norway. He leads the ENCODE research group and co-edits the Eludamos: Journal for Computer Game Culture . His work intersects media studies, game studies, and critical analysis of digital technologies. Research interests: Critical media literacies, war films/games, algorithmic governance, border studies, and AI ethics. Recent publications focus on ecocritical games, critical AI literacy, and ethical implications of immersive journalism. Collaborations: Kristine Jørgensen, Eva Christina Makaria Lentz, Therese Holt Hansen, and Emil Lundedal Hammar.

Victor GreiffView profile

Professor

• Computational Immunology
• Adaptive Immune Receptor Repertoires
• Machine Learning in Antibody Design
• +5 more

Victor Greiff is a Professor at the University of Oslo's Institute of Clinical Medicine , leading the Computational and Systems Immunology group. His research focuses on integrating high-throughput single-cell sequencing , artificial intelligence , and high-dimensional statistics to advance therapeutic antibody design, diagnostics, and vaccine development for infectious diseases, autoimmunity, and cancer. Key Research Areas : Computational immunology, adaptive immune receptor repertoires, machine learning in antibody discovery, bioinformatics, structural biology, and immune diagnostics. Funding : European Research Council (ERC) Grant AB-AG-INTERACT (Project ID: 101125630). Recent Publications highlight interdisciplinary work in: Machine learning for antibody design and immune repertoire classification . Structural analysis of antibody-antigen interactions and evolutionary immunogenetics . Development of bioinformatics tools (e.g., ExpoSeq, TCRpower, CompAIRR) for immune sequencing data analysis. Scientific Contributions include: Establishing computational frameworks for synthetic immune repertoire generation. Exploring genetic constraints on TCR and BCR diversity. Advancing AI-driven antibody engineering for improved therapeutic developability.

Ragnhild Kobro RundeView profile

Associate Professor

• Computing Education
• Software Engineering
• Formal Methods
• +3 more

Ragnhild Kobro Runde is an Associate Professor in Computing Education at the Department of Informatics, University of Oslo. Her work focuses on software engineering methodologies, formal methods in system design, and computing education at both secondary and undergraduate levels. She is affiliated with the Computing Education research group. Her research explores topics such as UML sequence diagram semantics, formal specification techniques (Event-B/STAIRS), and the transition from block-based programming (Scratch) to text-based languages (Python) in schools. She also investigates how ICT exposure impacts mathematics self-belief and academic performance in PISA assessments. Runde has contributed to over 30 peer-reviewed publications since 2005, appearing in journals like Formal Aspects of Computing and Software and Systems Modeling. Her work frequently addresses challenges in software design, security risk analysis, and service-oriented architecture modeling using UML extensions. Key contributions include developing pattern languages for web application security risk analysis, analyzing nondeterminism in sequence diagrams, and creating methodologies for dynamic service composition using UML 2.x. She has collaborated with international researchers on computing education initiatives and formal methods applications.