Summary
Stewart Agar is a Postdoctoral Research Assistant (PDRA) in the Geotechnics section of the Department of Civil and Environmental Engineering at Imperial College London
Stewart's research is focused on Remote Sensing and analysis of Interferometric Synthetic Aperture Radar (InSAR) in particular. His principle work from April 2023 concerns development a highly automated system for InSAR monitoring of nuclear decommissioning assets, in collaboration with EDF Energy.
Stewart has applied InSAR technology in industry, including a project monitoring ground conditions for high-speed rail and projects concerning mine stability analysis.
Stewart worked as part of the Secretariat for the Committee on Radioactive Waste Management, between 2017 and 2018. In 2017 Stewart recieved a MRes in Nuclear Energy from Imperial College London. Before this, he graduated from Lancaster University in 2014 with a MEng in nuclear engineering.
Areas of expertise:
InSAR, Remote Sensing, GIS, Nuclear Energy, Image Processing, Machine Learning, Radar,
Publications
Journals
Shire T, Lawrence J, Agar S, et al., 2022, Satellite remote sensing of UK embankment dams: influence of dam features on monitoring quality, Dams and Reservoirs, Vol:33, ISSN:1368-1494, Pages:71-81
Wang Z, Lawrence J, Ghail R, et al., 2022, Characterizing micro-displacements on active faults in the Gobi Desert with time-series InSAR, Applied Sciences-basel, Vol:12, ISSN:2076-3417, Pages:1-24
Mider G, O'Connor W, Lawrence J, et al., 2021, An investigation into ground movement on the Ventnor landslide complex, UK using Persistent Scatterer Interferometry, Remote Sensing, Vol:13, ISSN:2072-4292, Pages:1-20
Joyce MJ, Agar S, Aspinall MD, et al., 2016, Fast neutron tomography with real-time pulse-shape discrimination in organic scintillation detectors, Nuclear Instruments & Methods in Physics Research Section A-accelerators Spectrometers Detectors and Associated Equipment, Vol:834, ISSN:0168-9002, Pages:36-45
Conference
Agar S, Lawrence J, Ghail R, et al., 2018, PSInSAR remote sensing observations of deformation behaviour at Salisbury Plain, UK, Chalk 2018, ICE Publishing, Pages:269-274