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Annika RockenbergerView profile

Senior Lecturer

• Digital Humanities
• Textual Scholarship
• Research Data Management
• +3 more

Annika Rockenberger is a Senior Lecturer and Senior Academic Librarian at the University of Oslo's Humanities and Social Sciences Library, specializing in digital research methods and textual scholarship. She leads the Digital Research Methods team, supporting researchers in adopting digital tools and methodologies. Her role includes developing and delivering courses on digital humanities, programming (e.g., Python), and data management, as well as co-teaching in master's and PhD programs at UiO. She earned a Magister Artium from the Free University of Berlin and a PhD in Philosophy of Philology from the University of Oslo. Her research focuses on digital humanities, particularly the history of DH in Scandinavia, linked open data applications (e.g., NorKorr project), and digital scholarly editions like the Ethica Complementoria . She is a member of several academic societies, including DHNB and the Norwegian Society of Language and Literature. Rockenberger is the Project Manager of BærUt!, a UiO hub promoting sustainable digital scholarly editions. She collaborates with researchers, developers, and cultural heritage institutions to address long-term preservation challenges. Her recent work includes advancing text recognition via AI tools like ChatGPT-4 and Transkribus, and advocating for open-access digital editions. Her teaching includes Carpentries-certified programming courses, digital edition workshops, and training in XML/TEI, Zotero, and Pandoc. She is actively involved in organizing conferences, seminars, and training sessions through the Digital Scholarship Center, fostering interdisciplinary collaboration in digital humanities.

• Artificial Intelligence
• Medical Technology
• Knowledge-Based Systems
• +3 more

Asma Belhadi is a Postdoctoral Fellow at Oslo Metropolitan University's Faculty of Technology, Art and Design, Department of Computer Science. Her research focuses on Applied Artificial Intelligence, bridging domains like Neuroscience, Medical Technology, and Intelligent Transportation Systems through innovative methodologies such as Visual Transformers, Federated Learning, and Graph Algorithms. Primary affiliation: Oslo Metropolitan University Academic discipline: Computer Science Research areas: Deep Learning, Explainable AI, Biomedical Signal Processing, Sustainable Systems Her recent work explores cross-domain applications including: EEG classification using enhanced visibility graphs Medical imaging with ensemble fuzzy deep learning Secure pattern mining for Medical Internet of Things Knowledge-enhanced object detection for agriculture Metaverse security using transformer models and GANs

Knut Martin MørkenView profile

Professor

• Approximation Theory
• Numerical Analysis
• Spline Functions
• +4 more

Knut Martin Mørken is a Professor and Vice Dean for Education at the Department of Mathematics, Faculty of Mathematics and Natural Sciences, University of Oslo. His academic career spans both research and leadership in computational mathematics and science education reform. Roles: Vice Dean of Education (since 2019), Leader of the CCSE (Centre for Computing in Science Education), Former leader of the InterAct educational development project (2012–2019) Teaching: Co-instructor of MAT-INF1100 and INF-MAT5340 courses Research Interests: Approximation theory with focus on spline functions, B-splines, wavelets, and geometric modeling Integration of computational methods into mathematics and science education, spanning the CSE (Computers in Science Education) project and its successor, the CCSE (now a national Centre of Excellence in Education) Scientific Contributions: His work includes algorithm development for function approximation, stability analysis of wavelets on nonuniform triangulations, and interdisciplinary studies on mathematics-computing integration in education. Awards & Recognition: CCSE awarded Centre of Excellence in Education (SFU) by DIKU Collaborations: Active partnerships across departments and institutions, including collaborations with Lyche, Reif, Lockwood, Caballero, and Melvær in research and educational initiatives.

• Bioinformatics
• Genomics
• Computational Biology
• +4 more

Dr. Alexander Johan Nederbragt ("Lex Nederbragt") is a Senior Lecturer at the University of Oslo's Faculty of Mathematics and Natural Sciences, affiliated with the Centre for Ecological and Evolutionary Synthesis (CEES) and former member of the Centre for Computational Inference in Evolutionary Life Science (CELS). He leads the "Computing in Science Education" initiative within the Bioscience bachelor's program, developing courses like BIOS1100 that integrate Python programming with biological modeling. His educational philosophy emphasizes reverse instructional design and constructive alignment, with a focus on student-active learning and AI-driven pedagogical innovation. Researchwise, Nederbragt specializes in Bioinformatics and Genomics , particularly Evolutionary genomics of fish (Atlantic cod, haddock, grayling) Graph-based reference genome methodologies Genomic repeat element analysis Horizontal gene transfer in diatoms Computational microbiome studies His work spans comparative genomics, genome assembly validation, and bioinformatics software development (NucDiff, NucBreak). Scientific contributions reveal expertise in High-throughput sequencing Genomic architecture Evolutionary adaptation Computational methods Publication trends from 2012-2023 His research frequently intersects with ecological and evolutionary questions, particularly in teleost fishes. Scientific Awards Merittert Utdanner (Excellent Teaching Practitioner), University of Oslo (2023) Olav Thon Foundation National Award for Excellence in Teaching (2025)

Erik Andrew JohannessenView profile

Professor

• BioMEMS
• Microsystems Technology
• Nanotechnology
• +3 more

Erik Andrew Johannessen serves as Professor in the Department of Microsystems within the Faculty of Technology, Natural Sciences and Maritime Sciences at the University of South-Eastern Norway (USN), based at Campus Vestfold. His responsibilities include teaching foundational courses in BioMEMS and engineering professional practice while leading research at the convergence of microsystems engineering and biological applications. His research program centers on exploiting nanostructured materials and microsystem technology to decode fundamental biological processes and engineer advanced bioanalytical devices. Key focus areas include developing BioMEMS platforms that integrate organic materials with solid-state electronics through nature-inspired design principles, enabling breakthroughs in cell manipulation, targeted therapeutic delivery, and precision diagnostics through strategic miniaturization. Technical mastery spans photolithographic/e-beam microfabrication, primary cell culture techniques, electrochemical sensor development, multi-language programming (Python/Pascal), analogue circuit design, and autonomous physiological monitoring instrumentation. This interdisciplinary skillset facilitates the creation of integrated microsystems that translate molecular recognition mechanisms into functional biomedical devices for real-world healthcare applications.