The PhD defence will be in Abels utsikt - Niels Henrik Abels hus. The host of the session will moderate the technicalities while the chair of the defence will moderate the disputation.
Ex auditorio questions: the chair of the defence will invite the audience to ask questions ex auditorio at the end of the defence.
- Submit request to access (available from 11th of April 1:15 pm until 25th of April 1:15 pm)
Trial lecture
25th of April, time: 10:15 am, room 1259 (Abels utsikt).
Federated learning - theory and selected applications
Main research findings
Machine learning is emerging as a promising approach broad range of modelling applications. One of these applications is soft-sensing in industrial processes. Soft-sensors are mathematical models that predict process-related quantities that are otherwise difficult or expensive to measure. Additionally, it can be difficult to derive mathematical models for these quantities from physics, which is where machine learning enters the picture. Machine learning allows us to obtain predictive models from large quantities of data. However, there are not always large quantities of informative data available, due to the way industrial processes are operated. We therefore seek to expand our data foundation, by learning from data collected from other processes, similar to the ones we are interested in. This allows us to model difficult phenomena with little and still achieve a high level of performance, due to the ability to leverage experience from other related processes. The primary process studied in this work is the multiphase flow through valves, but other applications have also been explored with promising results.
Adjudication committee
- Assistant Professor Arthur M. Schweidtmann, Delft University of Technology
- Professor Ingelin Steinsland, Norwegian University of Science and Technology
- Associate Professor Ida Scheel, University of Oslo
Supervisors
- Associate Professor Odd Kolbjørnsen, University of Oslo
- Professor Geir Olve Storvik, University of Oslo
- Bjarne Grimstad, Solution Seeker AS
- Vidar Gunnarud, Solution Seeker AS
Chair of defence
Head of Department Geir Dahl.
Host of the session
Associate Professor Ida Scheel, University of Oslo