Dr Milto MILTIADOU

Dr Milto MILTIADOU

Department of Civil Engineer and Geomatics (CEG)
Faculty of Engineering and Technology (FET)
Cyprus University of Technology (CUT)

Dr Milto MILTIADOU

Researcher B

Education: Dr Milto Miltiadou holds a BSc in Computer Science from University of Bristol, UK, and an MSc in Computer Animation and Visual Effects – a technical course about creating tools for 3D graphics – from Bournemouth University, UK. She further completed her Doctor of Engineering (EngD) at University of Bath, UK and the NERC Airborne Research Facility, Plymouth Marine Laboratory, UK, with a full studentship awarded by the Centre for Digital Entertainment, which is a Doctoral Training Centre funded by the Engineering and Physical Sciences Research Council (EPSRC), where she specialised on “Efficient analysis and visualisation of full-waveform LiDAR data with applications to forestry”.

Professional background It is noticeable that she gained experience in both academia and industrial innovation through her placements at the NERC Airborne Research Facility (UK) and two forestry companies: Carbomap (UK) and Interpine Group Ltd (NZ). She was further invited to give lectures at the National Institute of Space Research (INPE), Brazil and University of Bari, Italy. She has further reviewed papers for the MDPI Remote Sensing and Sensors journals. Additionally, she has gained significant professional skills through extra-curricular activities, which include organising writing retreats, collecting student feedback, and attending the faculty board meetings. Her performance has been acknowledged with multiple awards including Silvilaser Poster competition and being selected as a finalist for the prestigious EDE & Ravenscroft award that recognises the work of the best postgraduate researchers.

Participation in funded projects: In respect to the funded projects participation, from Jun 2020, she works on the RIF Excellence Hubs “ASTARTE” project that analyses time-series radar and thermal satellite data for understanding the long-term impact of land surface temperature changes on Cypriot forests. Her role includes supporting management of the project, supervision of image processing techniques to be applied, automation of processing in python, as well as paper and proposal writing.  From June 2018-May 2020, she worked on her RIF postdoc, named “FOREST”, which was an extension of her EngD. It (1) included multi-scale 3D windows and extraction of structural elements to train a classier that detect dead standing trees, (2) co-registration and fusion of LiDAR with satellite data for better prediction, (2) processing laser waveforms for accounting occlusions before voxelisation, while investigated calibration options. Between Feb 2017 and May 2018, she worked on the H2020 RISE “SEO-DWARF” project. For that project, her role included research, implementation and automation of image processing techniques (e.g. edge detection) for deriving ocean metrics from satellite imagery.

Research interests: Forest monitoring, remote sensing, laser scanning, full-waveform LiDAR, radar, fusion of data, time-series analysis, image processing, machine learning, computer graphics and visualisations.

Selected publications:

  1. Miltiadou, M., Campbell, N. D., Aracil, S. G., Brown, T., & Grant, M. G. (2018). Detection of dead standing Eucalyptus camaldulensis without tree delineation for managing biodiversity in native Australian forest. International journal of applied earth observation and geoinformation67, 135-147.
  2. Miltiadou, M., Michael, G. G., Campbell, N. D., Warren, M., Clewley, D., & Hadjimitsis, D. G. (2019, June). Open source software DASOS: Efficient accumulation, analysis, and visualisation of full-waveform lidar. In Seventh International Conference on Remote Sensing and Geoinformation of the Environment (RSCy2019)(Vol. 11174, p. 111741M). International Society for Optics and Photonics.
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