Department of Computer Science has several major research projects funded by the Norwegian Research Council. The Department participates in two Center for Research-based Innovation (CRI).
Research activity at the department is directed primarily towards system aspects of distributed and parallel systems and applications. The focus is on development, application and experimental testing of models, architectures and mechanisms for distributed and parallel applications. Scaling, performance, large-scale data sets, heterogeneity and autonomy are examples of research areas.
Application areas include high-performance metrics, visualization, tools for genomics, search and filtering information, and telemedicine. The platforms include clusters, grids, display walls and mobile systems.
The scientists have strong international ties, collaborating with respected colleagues in the computer science field and spend a sabbatical on international recognized research institutions.
International orientation, collaboration and visibility are the department's priorities.
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Masteroppgaver:
Roy, Mayank : Deep Learning in Precancerous Lesions Detection during Surveillance Colonoscopies of IBD Patients. Strand, Niklas : Aquilier: An Ethereum-Based Smart Contract for Door-Lock Management in Home Assistant Sivakumar, Keerthana : Parid-GO A Personalised Augmented Reality Game to Reinforce Outdoor Physical Activity for People with Intellectual DisabilitiesArtikler og rapporter:
Ha, Synh Viet-Uyen / Nguyen, Tien Cuong / Phan, Hung Ngoc / Ha, Hoai Phuong : Real-Time Change Detection with Convolutional Density Approximation Waaler, Per Niklas Benzler / Melbye, Hasse / Schirmer, Henrik / Johnsen, Markus Kreutzer / Dønnem, Tom / Ravn, Johan Fredrik / Andersen, Stian / Davidsen, Anne Herefoss / Aviles Solis, Juan Carlos / Stylidis, Michael / Bongo, Lars Ailo Aslaksen : Algorithm for predicting valvular heart disease from heart sounds in an unselected cohort Roy, Mayank : Deep Learning in Precancerous Lesions Detection during Surveillance Colonoscopies of IBD Patients.Se alle oppføringer i Munin – Open research archive