Geomatics Engineer / Computer Vision Engineer

Soft Skills: Critical thinking, Communication skills, Problem solving, Curiosity, Teamwork

Technical Skills: Python, MATLAB, Tensorflow, Pytorch, Scikit-learn, OpenCV, Open3d, Git, Cloud Computing (with Clusters), Cloud Compare, Polyworks, QGIS/ArcGIS, ImageJ, CVAT, C++ (learning), PCL (learning), Docker (understanding), PostgreSQL (understanding)

Contact Information

Email: karam.mawas@gmail.com | Tel. +4915209419001

• Researchgate
• Linkedin
• ORCID

Education

Degree	Institution	Completion
Research Assistant, Geomatics	The Technical University of Braunschweig, Institute of Geodesy and Photogrammetry	Present
M.Sc., Geomatics Eng.	The University of Stuttgart	April 2017
B.Sc., Surveying Eng.	The University of Aleppo, Topography faculty, Aleppo, Syria	September 2013

Work Experience

Quality control of additively manufactured building components @ IGP, TU-BS (May 2020 - Present) | AMC

• Developing an automated data capturing approach for TLS in the production printing lab.
• Comparing registration approaches between direct co-registration and ICP-based methods, emphasizing their distinctions.
• Innovating computer vision and deep learning methods for quality control of printing objects as well as the filaments of the object, with a focus on SC3DP and Extrusion base during production.
• Conducting comprehensive research on the current state of quality control for concrete 3D printed specimens and the corresponding sensor technology in use.
• Sensor comparison (Camera-Photogrammetry, SLS, and TLS) and combine measurement standard deviation with tolerances according to the relevant standards.

Surveying Engineer @ Eagle Eye Technologies, Berlin (May 2017 - May 2020)

• Application and analysis of Kalman filtering for navigation data post-processing.
• Calibrate sensors for optimal performance.
• Analyzing and documenting road conditions by evaluating scan data and images, actively contributing to the development of maintenance concepts and city mapings.

Engineering and Technology Projects

• AI-Driven Segmentation of 2D Projections from 3D Point Cloud Data: This project combines point cloud data with image processing through a virtual camera setup, using deep learning models to segment different layers of 3D printed objects - a process that spans data acquisition, data preparation, and model training.

• KnitCrete Structural Monitoring and Pin Detection System: This method employs a specialized classification model designed to address the unique geometrical complexities of objects that conventional methods cannot adequately handle. It is used to detect pins from 3D point cloud data.

• Automatic Data Capturing: An automated data collection system was developed using terrestrial laser scanners mounted on robotic arms. This system dramatically increased process efficiency.

• Instance Segmentation With custom dataset by using MMDetection.

• OBJECT DETECTION From DIOR dataset using YOLOv5 & YOLOv8.

Proposal Writing

Scientific DFG Writing proposal for TRR277-AMC, TRR277, second Phase 2024-2027

As part of the C06 - IGP subproject, I was involved in writing the proposal for the second funding phase of TRR277, Appraisal Defense (Begutachtung), including preparing a poster and presentation for the evaluation steps.

ISPRS Scientific Initiatives 2025

Project Scientific Initiatives funding award 2025, ISPRS benchmark on 3D point cloud to model registration (PC2Model)

Teaching

Lab, Photogrammetry | for Two Semesters

1. Conducting lab sessions for introductory courses in photogrammetry.
2. Developing comprehensive slides and teaching materials to support student learning.
3. Designing and conducting experiments to demonstrate key photogrammetric principles.

Lab, TLS

1. Conducting experiments/lab sessions for TLS workflow.
2. Instrument setup, network planning, registration, and data post-processing.

Language Skills

Language	Proficiency
Arabic	Native
English	Fluent
German	Professional Proficiency

Sensors Experience

Sensor Type	Equipment
Terrestrial Laser Scanners (TLS)	(Z+F) 5010X, 5016 | (Leica) P20, BLK, RTC360
Handheld-Laserscanner	ArtecEva | Artec Space Spider | Shining3D - Einstar 3D Scanner
Structured Light System (SLS)	StereoScan neo R16.2, PrimeScan
Cameras	Structure from Motion (Photogrammetry) | DPA - Hexagon
System Trackers	(Vicon System) Valkyrie
Total Stations	(Leica) MS50, TS60

Additional Information

Driver's License	B category
UN	Workshop for Civil Society
Syrian Arab Red Crescent	Logistical support during civil crises for 3 months
Nationality	German

Publications

1. Mawas, K., Maboudi, M., & Gerke, M. (2025). A Review on Geometry and Surface Inspection in 3D Concrete Printing. Cement and Concrete Research, 199, 108030, https://doi.org/10.1016/j.cemconres.2025.108030.
2. Maboudi, M., Mawas, K., and Gerke, M. (2025): Geometric Inspection in 3D Concrete Manufacturing: Comparison of Data Capturing Techniques, Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLVIII-G-2025, 1029–1034, https://doi.org/10.5194/isprs-archives-XLVIII-G-2025-1029-2025.
3. Dörrie, R., (et al.), Mawas, K. (2025). From Digital to Real: Optimised and Functionally Integrated Shotcrete 3D Printing Elements for Multi-Storey Structures. Buildings 2025, 15, 1461, https://doi.org/10.3390/buildings15091461.
4. Wolfs, R., (et al.), & Mawas, K. (2024). On-line and in-line quality assessment across all scale levels of 3D concrete printing, Cement and Concrete Research, Volume 185, 2024, 107646, ISSN 0008-8846, https://doi.org/10.1016/j.cemconres.2024.107646.
5. Mawas, K., Maboudi, M., & Gerke, M. (2023). Filament Extraction in 3D Printing of Shotcrete Walls from Terrestrial Laser Scanner Data. The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, XLVIII-1/W2-2023, 307-313, https://doi.org/10.5194/isprs-archives-XLVIII-1-W2-2023-307-2023.
6. Rennen, P., (et al.), & Mawas, K. (2023). Robotic Knitcrete: Computational Design and Fabrication of a Pedestrian Bridge Using Robotic Shotcrete on a 3D-Knitted Formwork. Frontiers in Built Environment, 9:1269000, https://doi.org/10.3389/fbuil.2023.1269000.
7. Slepicka, M., Mawas, K., Borrmann, A., Maboudi, M., & Gerke, M. (2023). Digital Twinning in Additive Manufacturing - Closing the Digital-Physical-Digital Loop by Automated Integration of Captured Geometric Data into Fabrication Information Models. In Advances in Information Technology in Civil and Building Engineering, https://doi.org/10.1007/978-3-031-35399-4_34.
8. Mawas, K., Maboudi, M., & Gerke, M. (2022). Direct Co-registration of As-Built and As-Designed Data in Digital Fabrication. 42nd Wissenschaftlich-Technische Jahrestagung der DGPF, https://www.tib.eu/suchen/id/TIBKAT:1796027855.
9. Wieser, A., (et al.), & Mawas, K. (2022). Erfahrungen aus einem Koordinierten Vergleich Aktueller Scanner. In Terrestrisches Laserscanning 2022 (TLS 2022), DVW-Schriftenreihe, Band 104/2022. Wißner Verlag, Augsburg, https://geodaesie.info/dvw-schriftenreihe/schriftenreihe-archiv/schriftenreihe-band-104.
10. Placzek, G., Brohmann, L., Mawas, K., Schwerdtner, P., Hack, N., Maboudi, M., & Gerke, M. (2021). A Lean-Based Production Approach for Shotcrete 3D Printed Concrete Components. In Proceedings of the 38th International Symposium on Automation and Robotics in Construction (ISARC), Dubai, UAE, 811-818, https://doi.org/10.22260/isarc2021/0110.
11. Mawas, K., Maboudi, M., & Gerke, M. (2022). Automatic Geometric Inspection in Digital Fabrication. International Archives of Photogrammetry, Remote Sensing and Spatial Information Sciences, XLIII-B1-2022, 459–466, https://doi.org/10.5194/isprs-archives-XLIII-B1-2022-459-2022.
12. Hack, N., Jantzen, C., Brohmann, L., Gerke, M., Mawas, K., & Maboudi, M. (2022). A Closed-Loop Workflow for Quality Inspection and Integrated Post-Processing of 3D-Printed Concrete Elements. In R. Buswell, A. Blanco, S. Cavalaro, & P. Kinnell (Eds.), Third RILEM International Conference on Concrete and Digital Fabrication. DC 2022. RILEM Bookseries, vol 37. Springer, Cham, https://doi.org/10.1007/978-3-031-06116-5_54.