Congratulations to Saeid Pirasteh

Tuesday, December 5, 2017

Congratulations to Saeid Pirasteh

Saeid's PhD defense
On Tuesday, December 5, 2017, Saeid Pirasteh, successfully defended his PhD thesis, which entitled “Landslide Geoanalytics Using LiDAR-derived Digital Elevation Models”.

Saeid’s doctoral dissertation is a manuscript-based thesis, consisting of three published journal papers.

During the first 30 minutes, Saeid presented his thesis from publications and contributions, problem statement, research objectives, literature review, study area, methodology, results, conclusions and limitations. In the following two hours, Saeid well answered the questions from the examining committee. The committee was formed by Prof. Baoxin Hu (ESSE, York University, Prof. Dr. Shoufa Lin (EES), Prof. Dr. Ells LeDew (GEM), Prof. Michael Chapman (GEM Adjunct/CE, Ryerson University), and Prof. Dr. Jonathan Li (GEM).

Saeid joined the WatMos Group at the University of Waterloo in September 2013 and has been working with Prof. Dr. Jonathan Li in the past four years. His research work has been published or under review as follows:

  1. Pirasteh Saied*, Li J, 2016. Landslides investigations from geo-informatics perspective: Quality, challenges, and recommendations, Geomatics, Natural Hazards and Risk. doi:10.1080/19475705.2016.1238850.
  2. Pirasteh Saied*, Li J, Chapman M, 2017. Use of LiDAR-derived DEM and a stream length-gradient index approach to investigation of landslides in Zagros Mountains, Iran, Geocarto International, doi:10.1080/10106049.2017.1316779.
  3. Pirasteh Saied*, Li J, 2017. Probabilistic frequency ratio (PFR) model for quality improvement of landslide susceptibility mapping from LiDAR point clouds, Geoenvironmental Disaster, doi: 10.1186/s40677-017-0083-z.
  4. Pirasteh Saied*, Li J, Chapman M, 2017. A novel approach of automated geometric analysis and classification of landslides incorporating LiDAR-derived DEMs, Environmental Earth Sciences, revised and resubmitted.
  5. Pirasteh Saied*, Li J, Chapman M, 2017. A novel approach of landslide deformation simulation-modeling and flow direction using LiDAR-derived DEMs and UAV images. International Journal of Digital Earth, under review.

Congratulations, Saeid!