Nettsider med emneord «data science»

The main goal of the thesis is to investigate the potential of AI-based data enrichment and analysis technologies and techniques in the context of hard-to-treat diseases. An example of such a disease is primary sclerosing cholangitis (PSC) – a chronic inflammatory liver disease without effective treatment, standing as the leading indication for liver transplantation in Norway.

Note: this topic is offered as part of a collaboration project between SINTEF AS, Oslo University Hospital, and OsloMet – Oslo Metropolitan university.

Seismic arrays are installations where several seismic sensors are typically distributed over an aperture covering up to 10 km or more. Routine array signal processing is applied to the data streams recorded. This generates near-realtime estimates of direction-of-arrival for impinging signals that, for example, are due to earthquakes.

Globally, seismic data from arrays have proven to be of great value, for example, in characterization of earthquakes, in monitoring that the nuclear test-ban-treaties to limit nuclear testing, in vulcanology, in glaciology, in monitoring CO₂ storage sites, and beyond.

The Sustainability Lab at IFI owns a so-called Precious Plastic machine, which includes a shredder, an injector, and an extruder. The machine is used to recycle plastic materials, such as left-overs from IFI’s 3D-printers, and to form them into new plastic artefacts. The machine can be seen in the Sustainability Lab and during the upcoming Forskningsdagene September 23-24, 2023 at Climate House in the Botanical Gardens.

The combination of green growth and digitalisation is presented as the transition needed toward a more sustainable future (EU Science Hub, 2022). 

Can we make people more aware of energy consumption? In other countries, people are aware of their energy use because energy is expensive or only accessible a few hours per day. How to do this in Norway where relatively cheap energy is available 24/7? In this master project, a team of students will work towards an installation in which energy consumption is visualised – and maybe even heard or felt – in a creative and informative manner.

Squarehead Technology is a world leader in precision acoustic detection. Their technology utilizes an array of microphones and beamforming to provide spatial filtering and awareness.  Loosely speaking, we can provide a superhearing ability by pinpointing the direction of a given sound source, and classify the type of sound we’re listening to.

The transition to a globally sustainable low-carbon emission society requires a significant increase in the use of renewable energy. We are facing increased decentralized energy production, and digitalization of the whole value chain. Advanced use of ICT is crucial for realizing this energy shift. This is confirmed in the revised national strategy for Norway on energy research, Energy21 which recommends to give "Digitalization and integrated energy systems" top priority. In this context, the energy sector is facing two key challenges: 1) the sector must be able to apply state-of-the-art ICT, 2) there is a lack of talents with the necessary expertise in the intersection between energy systems and ICT, which we refer to as energy informatics. This project, which is a collaboration between research groups at University of Stavanger, University of Oslo, Technical University of Munich, and University of Lille, is one response to these challenges.

The types of MSc theses that I could offer fall within three categories:

1. Project specific: the focus is here is in management/analytics of domain specific data (e.g. company information), this means the thesis will focus on specific datasets and will try to obtain insights in various forms from the datasets
2. DataGraft related: the focus here will be to develop/validate generic technology, mostly related to big data scalable solutions for working with large datasets; tasks will be more software design/engineering in nature
3. Data exchange related: the focus here will be to develop/validate technology specifically related to data exchange; tasks will be technologically exploratory, involve some design/engineering work

The SANT project develops resources for Sentiment Analysis for Norwegian Text. While coordinated by the Language Technology Group (LTG) at IFI/UiO, collaborating partners include NRK, Schibsted and Aller Media.