Milto Miltiadou

Milto Miltiadou
mm2705@cam.ac.uk

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 interpretation of a huge database of forest inventories and fusion of Earth Observation data to produce large scale data driven predictions of forest variables relating to climate change. In previous work, she introduced extraction of structural elements from 3D-Windows for detecting dead standing Eucalypt trees without tree delineation, proposed a new data structure for efficient management of LiDAR data during 3D polygonal model creation and showed that the SAR phenological cycle of Paphos forest in Cyprus contains two peaks; the summer peak is associated with the regeneration of the pine needles while the trough in February with the act of the pityocampa pest. She has experience in both academia and industrial innovation, through international placements that includes 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, implemented for managing full-waveform LiDAR data, being selected for inclusion in the program.

For more information please see Milto’s publication list.