Milto Miltiadou

Postdoctoral Research Associate, Next generation forest dynamics modelling using remote sensing data (UKRI FLF).

Milto is a Postdoctoral Research Associate in the Department of Geography, University of Cambridge. She completed my EngD at the Department of Computer Science, University of Bath, UK and the Remote Sensing group, Plymouth Marine Laboratory, UK. She also worked as a researcher at Cyprus University of Technology, Cyprus.

Milto’s research includes detection of dead standing Eucalypt trees for managing biodiversity in Australia, efficient data structures for managing LiDAR during 3D polygonal model creation and time-series SAR data analysis for understanding phenological changes of Paphos forest, Cyprus. She has experience in both academia and industrial innovation, through international placements at two forestry companies: Carbomap (UK) and Interpine Group Ltd (NZ). She is a reviewer at high-impact well-established journals: Remote Sensing of the Environment, MDPI Remote Sensing. Her work was included in the Most Notable Articles of the MDPI Remote Sensing Journal for December 2020 – February 2021 and acknowledged as a distinguished contribution by Ladies of Landsat. She is also an Arctic code Vault Contributor of 2020 Github Archive Program with her open source software DASOS being selected for inclusion in the program.

For more information please see┬áMilto’s publication list.