Ioannis Farmakis

Ioannis FarmakisPh.D 

Office Miller 218
Email ; 
Thesis Topic Object-oriented rock slope analysis for slope-scale rockfall susceptibility assessment using 3D point clouds.
Supervisors Dr. D. Jean Hutchinson and Dr. Nicholas Vlachopoulos


Research Interests

As he has been a big 3D point cloud enthusiast since his bachelor’s years, Ioannis is interested in the development of enhanced landslide risk management frameworks using 3D point clouds and artificial intelligence. He works towards engineering geology knowledge integration and semantic meaning assignment to this 3D data type to make them a smart tool for high-resolution landslide/rockfall analysis and prediction, and decision-making.

About Ioannis

Ioannis Farmakis obtained his bachelor’s degree from the School of Sciences of the Aristotle University of Thessaloniki, Greece. Since 2018 he has been a MSc degree holder in Applied and Environmental Geology graduated from the same institution. He is specialized in the use of 3D point clouds for Engineering Geological applications and particularly rock slope characterization and landslide analysis.

Ioannis is currently a PhD candidate at the Department of Geological Sciences and Geological Engineering at Queen’s University. He does research in the field of Engineering Geology investigating landslide phenomena in high resolution using Remote Sensing, Computer Vision, and Geoinformatics.


Best poster presentation award
March 2019 – Greek Committee of Engineering Geology annual meeting


  1. Farmakis, I., Bonneau, D., Hutchinson, D.J., and Vlachopoulos, N. 2021. Targeted Rock Slope Assessment Using Voxels and Object-Oriented Classification. Remote Sensing, 13(7): 1354. doi:10.3390/rs13071354.
  2. Farmakis, I., Bonneau, D., Hutchinson, D.J., and Vlachopoulos, N. 2020. Supervoxel-Based Multi-Scale Point Cloud Segmentation Using FNEA for Object-Oriented Rock Slope Classification Using TLS. International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences - ISPRS Archives (in press).
  3. Farmakis, I., Marinos, V., Papathanassiou, G., and Karantanellis, E. 2020. Automated 3D Jointed Rock Mass Structural Analysis and Characterization Using LiDAR Terrestrial Laser Scanner for Rockfall Susceptibility Assessment: Perissa Area Case (Santorini). Geotechnical and Geological Engineering, 0123456789. Springer International Publishing. doi:10.1007/s10706-020-01203-x.
  4. Farmakis, I., and Hutchinson, D.J. 2019. Semi-automated discontinuity orientation extraction in complex rock masses using single-scan LiDAR data. EGU General Assembly 2019. (Abstract).
  5. Konstantinidis, I., Karantanellis, E., Marinos, V., and Farmakis, I. 2019. Multi-sensor Change Detection for Quantification of Landslide Hazard in Santorini island, Greece. EGU General Assembly 2019. (Abstract).
  6. Hutchinson, D.J., Bonneau, D., Gauthier, D., Farmakis, I., Reich, K., DiFrancesco, P.M., Graham, A., Coombs, M. 2019. Applications of New Remote Sensing Technology to Natural Rock Slope Stability Analysis. 대한지질공학회 학술발표논문집, 2019. (Abstract).
  7. Farmakis, I., Marinos, V., Vlachopoulos, N. 2019. Assessment of the GSI along rock slopes based on LiDAR and photogrammetry point clouds. 53rd US rock mechanics/geomechanics symposium held in New York, NY, USA, 23–26 June

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