Dr.-Ing. Bashir Kazimi

Academic Career

2017 - 2021 Dr.-Ing./Ph.D. in Geodesy and Geoinformatics

Institute of Cartography and Geoinformatics, Leibniz University Hannover, Germany

Ph.D. dissertation on "Self Supervised Learning for Detection of Archaeological Monuments in LiDAR Data"

Supervised by Prof. Dr.-Ing. habil. Monika Sester

2015 - 2017 M. Sc. in Artificial Intelligence

Polytechnic University of Catalonia, Spain

Master thesis on "Coverage for Character Based Neural Machine Translation"

Supervised by Dr. Marta R. Costa-jussà

2010 - 2015 B. Sc. in Computer Engineering

Middle East Technical University, Türkiye

Professional Career

Since 02/2023 Researcher

IAS-9, Forschungszentrum Jülich

04/2021 - 12/2022 Researcher

Helmholtz-Zentrum Hereon

04/2017 - 03/2021 Researcher

Institute of Cartography and Geoinformatics, Leibniz University Hannover

• B. Kazimi and S. Sandfeld, "Enhancing Semantic Segmentation in High-Resolution TEM Images: AComparative Study of Batch Normalization and Instance Normalization," Microscopy and Microanalysis, Accepted, 2024.
• B. Kazimi, K. Ruzaeva, and S. Sandfeld, "Self-Supervised Learning with Generative Adversarial Networks for Electron Microscopy," in Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops, pp. 71-81, 2024.
• Lopes Marinho A, Kazimi B, Ćwieka H, Marek R, Beckmann F, Willumeit-Römer R, Moosmann J, Zeller-Plumhoff B. "A comparison of deep learning segmentation models for synchrotron radiation based tomograms of biodegradable bone implants,". Frontiers in Physics. 2024 Jan 24;12:1257512.
• B. Kazimi and M. Sester, "Self-Supervised Learning for Semantic Segmentation of Archaeological Monuments in DTMs". Journal of Computer Applications in Archaeology, vol. 6(1), pp. 155-173, 2023.
• B. Kazimi, P. Heuser, F. Schluenzen, H. Cwieka, D. Krüger, B. Zeller‑Plumhoff, F. Wieland, J. Hammel, F. Beckmann, and J. Moosmann, "An active learning approach for the interactive and guided segmentation of tomography data," in SPIE, vol. 12242, p. 122420F, 2022.
• B. Kazimi, "Self Supervised Learning for Detection of Archaeological Monuments in LiDAR Data". PhD thesis, Leibniz Universität Hannover, 2021.
• B. Kazimi, K. Malek, F. Thiemann, and M. Sester, "Effectiveness of dtm derivatives for object detection using deep learning," in International Conference on Cultural Heritage and New Technologies 2019, 2019.
• B. Kazimi, K. Malek, F. Thiemann, and M. Sester, "Semi supervised learning for archaeological object detection in digital terrain models," in International Conference on Cultural Heritage and New Technologies 2020, 2020.
• B. Kazimi, F. Thiemann, and M. Sester, "Detection of terrain structures in airborne laser scanning data using deep learning," ISPRS Annals of Photogrammetry, Remote Sensing & Spatial Information Sciences, vol. 5, no. 2, 2020.
• R. Satari, B.Kazimi, and M. Sester, "Extraction of linear structures from digital terrain models using deep learning", AGILE: GIScience Series, 2, p.11., 2021.
• B. Kazimi, F. Thiemann, and M. Sester, "Semantic segmentation of manmade landscape structures in digital terrain models," ISPRS Annals of Photogrammetry, Remote Sensing and Spatial Information Sciences, vol. IV‑2/W7, pp. 87–94, 09 2019.
• B. Kazimi, F. Thiemann, and M. Sester, "Object instance segmentation in digital terrain models," in Computer Analysis of Images and Patterns (M. Vento and G. Percannella, eds.), (Cham), pp. 488–495, Springer International Publishing, 2019.
• B. Kazimi, F. Thiemann, K. Malek, M. Sester, and K. Khoshelham, "Deep learning for archaeological object detection in airborne laser scanning data," in Proceedings of the 2nd Workshop On Computing Techniques For Spatio‑Temporal Data in Archaeology And Cultural Heritage co‑located with 10th International Conference on Geographical Information Science, 09 2018.
• F. Politz, B. Kazimi, and M. Sester, "Classification of laser scanning data using deep learning," 38th Scientific Technical Annual Meeting of the German Society for Photogrammetry, Remote Sensing and Geoinformation, vol. 27, 2018.
• B. Kazimi and M. Costa‑jussà, "Coverage for character based neural machine translation," Procesamiento del Lenguaje Natural, vol. 59, no. 0, pp. 99–106, 2017.