Disputation: Pascal Sado

Pascal Sado will defend his thesis “Machine Learning in Auroral Image Research; Aurora Image Classification using Machine Learning Techniques and Substorm Forecasting” for the degree of Philosophiae Doctor at the University of Oslo, Faculty of Mathematics and Natural Sciences.

portrait of the candidate

The PhD defence and trial lecture will be streamed. The chair of the defence will moderate the disputation. 

Ex auditorio questions:  the chair of the defence will invite the audience physically present in the auditorium to ask ex auditorio questions.

→ Live streaming of trial lecture and disputation

 

→ Request for thesis copy (available until the disputation starts)

Trial lecture

Time and place: November10, 2023; 9:15 AM, Store Fysiske Auditorium (V343) - Fysikkbygningen

Title: "Physics informed machine learning; current capabilities and future perspectives

Main research findings

Images taken of aurora are of key interest for research regarding space physics.To get as much material as possible, many imagers are positioned in key locations around the world, taking many images per year.Over the span of the last two decades, hundreds of millions of images have been taken.Manual evaluation of these images is tedious and time intensive, but automated analysis has so far not been feasible on a large scale.Using machine learning methods we trained a lightweight, easily scalable and open source classifier that is able to classify images into several "aurora" and "no-aurora" or aggregated classes thereof with near human-like accuracy in a fraction of the time.A byproduct of this process are machine-processable numerical features which we have shown to be an accurate descriptor of the images when modelling physical behaviour correlated with the aurora.Based on our classifier and these features in combination with solar wind data we were able to show the feasibility of machine learning based space weather forecasts.This will allow researchers to more accurately monitor and research space weather phenomena in the future.

Adjudication Committee

  • Professor Caitriona Jackman, Institute for Advanced Studies, Ireland
  • Associate professor Arno Solin, Aalto University, Finland
  • Professor Morten Hjorth-Jensen, University of Oslo, Norway

Supervisors

  • Professor Lasse B. N. Clausen, Department of Physics, University of Oslo, Norway

  • Professor Wojciech J. M. Miloch, Department of Physics, University of Oslo, Norway

  • Dr. Hannes Nickisch, Philips Research, Hamburg, Germany

Chair of defence

  • Professor Andreas Görgen, Department of Physics, University of Oslo, Norway

Candidate contact information

E-mail: pascal.sado@fys.uio.no

 

 

Contact information to Department: Line Trosterud Resvold

 

Published Oct. 27, 2023 12:19 PM - Last modified Nov. 8, 2023 3:51 PM