Laurens Arp
PhD candidate
- Name
- L.R. Arp MSc
- Telephone
- 071 5274799
- l.r.arp@liacs.leidenuniv.nl
Laurens is a PhD student at Leiden University supervised by dr. Mitra Baratchi, Prof.dr. Holger Hoos and Prof.dr. Peter van Bodegom. His research is part of dr. Mitra Baratchi's "Physics-aware Spatio-temporal Machine Learning for Earth Observation Data" project, and involves a collaboration with the European Space Agency.
Laurens started as a PhD student in January 2021 under the supervision of dr. Mitra Baratchi, Prof.dr. Holger Hoos and Prof.dr. Peter van Bodegom. Prior to this, he obtained his MSc at Leiden University in 2020, and his BSc Lifestyle Informatics at VU Amsterdam in 2018.Laurens' research is funded by an NWO ENW-KLEIN grant awarded to dr. Mitra Baratchi for her project named "Physics-aware Spatio-temporal Machine Learning for Earth Observation Data", which involves a collaboration with the European Space Agency. The goal of the project is to create hybrid models of mutually interacting environmental processes on Earth, combining theory-driven physical models and data-driven machine learning models using Earth observation data.
PhD candidate
- Science
- Leiden Inst of Advanced Computer Science
Postdoc
- Science
- Leiden Inst of Advanced Computer Science
PhD candidate
- Science
- Leiden Inst of Advanced Computer Science
- Wasala J., Marselis S.M., Arp L.R., Hoos H.H., Longépé N. & Baratchi M. (2024), AutoSR4EO: an autoML approach to super-resolution for earth observation images, Remote Sensing 16(3): 443.
- Arp L., Hoos H., Bodegom P. van, Francis A., Wheeler J., Laar D. van & Baratchi M. (2024), Training-free thick cloud removal for Sentinel-2 imagery using value propagation interpolation, ISPRS Journal of Photogrammetry & Remote Sensing 216: 168-184.
- Arp L.R., Baratchi M. & Hoos H.H. (2022), VPint: value propagation-based spatial interpolation, Data Mining and Knowledge Discovery 36(5): 1647-1678.
- Arp L., Vreumingen D. van, Gawehns D. & Baratchi M. (2020), Dynamic macro scale traffic flow optimisation using crowd-sourced urban movement data, 2020 21st IEEE International Conference on Mobile Data Management (MDM) . IEEE International Conference on Mobile Data Management (MDM 2020) 30 June 2020 - 3 July 2020: IEEE. 168-177.