CV

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Education

• Ph.D. in Geodesy and Geoinformatics, Leibniz University Hannover, 2021
• M.Sc. in Artificial Intelligence, Polytechnic University of Catalonia, 2017
• B.Sc. in Computer Engineering, Middle East Technical University, 2015

Work experience

• Since April 2021: Postdoctoral researcher in deep learning for x-ray tomography
  • Helmholtz Zentrum Hereon - DESY
  • Supervisor: Dr. Julian Moosmann‬
• 2017-2021: Ph.D. researcher in deep learning for airborne laser scanning data
  • Institute of Cartography and Geoinformatics, Leibniz University Hannover
  • Supervisor: Prof. Monika Sester
• 11/2017-12/2017: Visiting researcher
  • Infrastructure Engineering, University of Melbourne
• 2016-2017: Quality Assurance Intern
  • Typeform

Skills

• Deep learning
• Computer Vision
• Python
• Tensorflow/Keras
• Pytorch
• Scikit-learn

Publications

Coverage for character based neural machine translation

Kazimi, B. and Costa-jussà, M.R. (2017). "Coverage for Character Based Neural Machine Translation." Procesamiento del Lenguaje Natural. 59, pp.99-106.

Classification of laser scanning data using deep learning

Politz, F., Kazimi, B. and Sester, M. (2018). "Classification of laser scanning data using deep learning." Deutsche Gesellschaft für Photogrammetrie, Fernerkundung und Geoinformation (DGPF). 38, pp.7-9.

Deep learning for archaeological object detection in airborne laser scanning data

Kazimi, B., Thiemann, F., Malek, K., Sester, M. and Khoshelham, K. (2018). "Deep learning for archaeological object detection in airborne laser scanning data." Proceedings of the 2nd Workshop On Computing Techniques for Spatio-Temporal Data in Archaeology and Cultural Heritage, Melbourne, Australia. 15, pp.25-28.

Semantic segmentation of manmade landscape structures in digital terrain models

Kazimi, B., Thiemann, F. and Sester, M. (2019). "Semantic segmentation of manmade landscape structures in digital terrain models." ISPRS Annals of Photogrammetry, Remote Sensing and Spatial Information Sciences. 42, pp.87-94.

Object instance segmentation in digital terrain models

Kazimi, B., Thiemann, F. and Sester, M. (2019). "Object instance segmentation in digital terrain models." International Conference on Computer Analysis of Images and Patterns. pp.488-495.

Detection of terrain structures in airborne laser scanning data using deep learning

Kazimi, B., Thiemann, F. and Sester, M. (2020). "Detection of terrain structures in airborne laser scanning data using deep learning." ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences. 2, pp.493-500.

Semi supervised learning for archaeological object detection in digital terrain models

Kazimi, B., Malek, K., Thiemann, F. and Sester, M. (2021). "Semi supervised learning for archaeological object detection in digital terrain models." Proceedings of the 24th International Conference on Cultural Heritage and New Technologies, held in Vienna, Austria, November 2019. pp.219-225.

Extraction of linear structures from digital terrain models using deep learning

Satari, R., Kazimi, B., and Sester, M. (2021). "Extraction of linear structures from digital terrain models using deep learning." AGILE GIScience Series. 2(11).

Self Supervised Learning for Detection of Archaeological Monuments in LiDAR Data

Kazimi, B. (2021). "Self Supervised Learning for Detection of Archaeological Monuments in LiDAR Data (Doctoral Dissertation)." Wissenschaftliche Arbeiten der Fachrichtung Geodäsie und Geoinformatik der Leibniz Universität Hannover. 379