Achilleos 1 Building, 1st Floor,
Saripolou 2-8, 3036, Limassol, Cyprus
P: +357 25 245014
F: +357 25 002884

Dr. Milto Miltiadou

Postdoctoral Researcher

Dr Milto Miltiadou is a researcher interested in forest monitoring, laser scanning, remote sensing, computer graphics, image processing and machine learning. She 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 Engineering and Physical Sciences Research Council (EPSRC), where she specialised on “Efficient analysis and visualisation of full-waveform LiDAR data with applications to forestry”. She further worked on project s that includes interpreting and/or co – registrating multi-band, radar, terrestrial laser scanning, hyperspectral data and time – series analysis. She further got involved into proposal writing and supporting project management. It is noticeable that she gain ed experience in both academia and industrial innovation through her placements at the NERC Airborne Research Facility (UK), Planetek Hellas (GR) 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 and 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 departmental and 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.