Research – Department of Computer Science

Research – Department of Computer Science

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.

We have 10 projects at our unit:


Masteroppgaver:
Løvås, Sondre Elvebakken : AI Chatbots in Health: Implementing an LLM-Based Solution to Promote Physical Activity Nohr, Øyvind Arne Moen : Evaluating Continuous End-to-End Communication at Sea with Multi-Hop MANET Routing, Using AIS Data Eide, Thomas Vatne : Integration of programming in Norwegian schools: The effects of prior programming experience on students in a university-level programming course

Artikler og rapporter:
Jha, Debesh / Sharma, Vanshali / Banik, Debapriya / Bhattacharya, Debayan / Roy, Kaushiki / Hicks, Steven / Tomar, Nikhil Kumar / Thambawita, Vajira L B / Krenzer, Adrian / Ji, Ge-Peng / Poudel, Sahadev / Batchkala, George / Alam, Saruar / Ahmed, Awadelrahman M.A. / Trinh, Quoc-Huy / Khan, Zeshan / Nguyen, Tien-Phat / Shrestha, Shruti / Nathan, Sabari / Gwak, Jeonghwan Gwak / Jha, Ritika Kumari / Zhang, Zheyuan / Schlaefer, Alexander / Bhattacharjee, Debotosh / Bhuyan, M.K. / Das, Pradip K. / Fan, Deng-Ping / Parasa, Sravanthi / Ali, Sharib / Riegler, Michael Alexander / Halvorsen, Pål / de Lange, Thomas / Bagci, Ulas : Validating polyp and instrument segmentation methods in colonoscopy through Medico 2020 and MedAI 2021 Challenges Yoon, Minjae / Lee, Ji Hyun / Kim, In-Cheol / Lee, Ju-Hee / Kim, Mi-Na / Kim, Hack-Lyoung / Lee, Sunki / Kim, In Jai / Choi, Seonghoon / Park, Sung-Ji / Hur, Taeho / Hussain, Musarrat / Lee, Sungyoung / Choi, Dong-Ju : Smartphone App for Improving Self-Awareness of Adherence to Edoxaban Treatment in Patients With Atrial Fibrillation (ADHERE-App Trial): Randomized Controlled Trial Pattanaik, Barsha / Mandal, Sourav / Tripathy, Rudra M. / Sekh, Arif Ahmed : Rumor detection using dual embeddings and text-based graph convolutional network

Se alle oppføringer i Munin – Open research archive