Mohammed Rahman Falih is a Lecturer of Surveying Engineering (Geomatics) at the University of Baghdad. He received his Bachelor of Science in Surveying Engineering (BSc, 2015) from the University of Baghdad, where he graduated at the first of his class in the College of Engineering with a "Very Good" grade. He furthered his academic achievements by earning a Master of Science in Photogrammetry (MSc, 2021), ranking first in his class with an "Excellent" grade.
His research agenda spans a wide range of applications, including UAV-based Photogrammetry, terrestrial laser scanning (TLS), medical photogrammetry, and virtual reality. He is particularly interested in the post-processing and analysis of point clouds to improve spatial data accuracy. In addition to his research, he is proficient in a variety of specialized software tools, including Metashape (Agisoft), Cloud Compare, 3D Re-constructor, and ArcGIS, among others.
As an educator, he is committed to empowering his students, encouraging them not only to master technical skills but also to become decision-makers and leaders in the geomatics community. Through his teaching, he aims to prepare the next generation of engineers to play pivotal roles in the field of geomatics engineering.
MSc, Surveying Engineering, University of Baghdad, 2021.
BSc, Surveying Engineering, University of Baghdad, 2015.
Tutor, Surveying Engineering, University of Baghdad (2016-2019)
Assistant Lecturer, Surveying Engineering, University of Baghdad (2021-present)
• Taught undergraduate courses.
• Supervised graduation projects.
Examination Committee, Surveying Engineering, University of Baghdad (2021-present)
Member of Union of Iraqi Engineers, 2015 – present.
- SfM-based Photogrammetry
- UAV-based Photogrammetry
- Terrestrial and Aerial Laser Scanning
- Spatial Data Analysis
- Virtual Reality
- Point Cloud Post-Processing
Water level and distribution is very essential in almost all life aspects. Natural and artificial lakes represent a large percentage of these water bodies in Iraq. In this research the changes in water levels are observed by calculating the areas of five different lakes in five different regions and two different marshes in two different regions of the country, in a period of 12 years (2001 - 2012), archived remotely sensed images were used to determine surface areas around lakes and marshes in Iraq for the chosen years . Level of the lakes corresponding to satellite determined surface areas were retrieved from remotely sensed data .These data were collected to give explanations on lake level and surface area fluctuations. It is imp
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Eye loss may be caused as a result of eye trauma, accidents, or malignant tumors, which leads the patient to undergo surgery to remove the damaged parts. This research examines the potential of computer vision represented by Structure from Motion (SfM) photogrammetry in fabricating the orbital prosthesis as a noninvasive and low-cost technique. A low-cost camera was used to collect the data towards extracting the dense 3D data of the patient facial features following Structure from Motion-Multi View Stereo (SfM-MVS) algorithms. To restore the defective orbital, a Reverse Engineering (RE) based approach has been applied using the similarity RE algorithms based on the opposite healthy eye to rehabilitate the defected orbital precisely
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