John Aiken

Image of John Aiken
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Visiting address Sem Sælands vei 24 Fysikkbygningen 0371 Oslo
Postal address Postboks 1048 0371 Oslo

Academic interests

After defending my PhD in 2020, I currently work as a researcher in the Njord Centre. I am a data scientist whose research background has focused on integrating machine learning within the problem spaces of seismology, rock physics, glaciology, and previously educational data mining. This has included investigating rock failure in triaxial compression experiments, classifying glacier instabilities, building image segmentation models to understand X-ray computed tomography data, and exploring seismic wave form data from the Oman Multi-Borehole Observatory. In my previous scientific life I also investigated broadly what leads students to drop out of university. You can find my full publication list on my google scholar profile

Tags: machine learning, saving the polar bears

Publications

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  • Knaub, Alexis V.; Aiken, John & Caballero, Marcos (2019). Editorial: Focused Collection: Quantitative Methods in PER: A Critical Examination. Physical Review Physics Education Research. ISSN 2469-9896. 15(2). doi: 10.1103/PhysRevPhysEducRes.15.020001.
  • Aiken, John Mark (2020). Understanding University Student Pathways Towards Graduation with Machine Learning and Institutional Data. Det matematisk naturvitenskapelige fakultet.

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Published Nov. 6, 2017 11:32 AM - Last modified Jan. 24, 2022 4:30 PM