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Ph.D. in Geodesy and Geoinformatics

Leibniz University Hannover, Hannover, Germany

• Worked on applications of deep learning in airborne laser scanning data
• Multiple publications and projects on detection of archaeological objects
• Dissertation on Self Supervised Learning for Detection of Archaeological Monuments in LiDAR Data supervised by Prof. Dr.-Ing. habil. Monika Sester

M.Sc. in Artificial Intelligence

Polytechnic University of Catalonia, Barcelona, Spain

• Fundamental courses and projects in Machine Learning, Computer Vision, and Natural Language Processing
• Master Thesis in Neural Machine Translation supervised by Marta Ruiz Costa-jussà
• Publication at International Journal of the Spanish Society for Natural Language Processing

B.Sc. in Computer Engineering

Middle East Technical University (METU), Ankara, Turkey

• Got a Turkish Government Scholarship for undergraduate studies
• Was part of a 4-people team that built a social network as a graduation project

Research Group Leader

Forschungszentrum Jülich, Institute for Materials Data Science and Informatics (IAS-9)

• Leading the Data Science and Computer Vision for Electron Microscopy Lab
• Research on deep learning for electron microscopy data
• PhD Supervisoin, Deep-Learning Assisted Fast In Situ 4D Electron Microscope Imaging, Helmholtz Imaging Project (From 2024)

Postdoctoral Researcher

Forschungszentrum Jülich, Institute for Materials Data Science and Informatics (IAS-9)

• Research on deep learning for electron microscopy data
• Prototyping and implementation of unsupervised, semi‑supervised and supervised learning models
• Applications of Generative Adversarial Networks (GANs), Autoencoders and Diffusion Models
• Denoising, super‑resolution and segmentation of transmission electron microscopy (TEM) images of nanoparticles
• Implementations in PyTorch/Lightning
• Data pre and post‑processing and visualization with Scikit‑Learn, Pandas, Scikit‑image, and Matplotlib
• Experiment tracking, monitoring and visualization with Wandb

Postdoctoral Researcher

Helmholtz Zentrum Hereon, Institute of Materials Physics

• Research on segmentation of bone implants using deep learning and synchrotron radiation computed tomography (CT) data
• Development of active learning methods well‑suited for tasks with small amounts of annotated data
• Implementations in PyTorch
• Data analysis and visualization using Fiji/ImageJ
• Contribution to a web‑service for the active learning model to help users/domain experts apply segmentation on their data without having to learn or implement deep learning methods

Doctoral Researcher

Leibniz University Hannover, Institute of Cartography and Geoinformatics

• Research on detection and description of historical man‑made landscape structures
• Prototyping and implementation of self supervised learning models (GANs and Autoencoders) to leverage large volumes of unlabeled data
• Transfer learning with self‑supervised pretrained models customized for and finetuned on downstream tasks (classification, semantic and instance segmentation) with limited annotated data
• Worked on digital terrain models from airborne laser scanning data
• Worked with the ArcGIS software and Python Osgeo/Gdal library for data processing
• Used Tensorflow and Keras libraries for implementing deep learning models
• Published papers and open sourced implementations for classification, semantic segmentation, and instance segmentation of archaeological objects in digital terrain data using deep learning
• Helped teach master level courses, Internet‑GIS (2017) and Environmental Data Analysis (2018 & 2020)
• Master Thesis Supervision, Segmentation of Linear Terrain Structures in Digital Terrain Models Using Deep learning by Heyeu Zhang at Leibniz University Hannover (2020)
• Master Thesis Supervision, Estimation of building parameters from street view images by Xin Hu at Leibniz University Hannover (2020)
• Master student project supervision, Extraction of linear structures from digital terrain models using deep learning by Ramish Satari at Leibniz University Hannover (2020)

Visiting Researcher

University of Melbourne, Department of Infrastructure Engineering

• Research visit as part of a scholarship award by DAAD (German Academic Exchange Service)
• Research collaboration between Institute of Cartography and Geoinformatics at Leibniz University Hannover and Department of Infrastructure Engineering at University of Melbourne
• Worked on and published a paper for archaeological object detection in airborne laser scanning data

Quality Assurance Intern

Typeform S.L.

• Automated and manual software tests for features before being shipped for production

Java Developer

Open University of Catalonia

• Helped improve a website for students to upload programming assignments to be graded automatically

Helmholtz Foundation Model Initiative (HFMI) Funding 2024

• Project titled A symbiotic modular foundation model for accelerating solar energy materials development (SOL-AI)
• Together with KIT, HZB, and Hereon, coordinated by FZJ/IAS-9, we got funded through the HFMI call 2024

Helmholtz Imaging Project Funding

• Project titled Deep-Learning Assisted Fast In Situ 4D Electron Microscope Imaging
• Prof. Stefan Sandfeld and I, together with our collaborators, Prof. Christoph Kirchlechner and Dr. Subin Lee from Institute for Applied Materials – Mechanics of Materials and Interfaces (IAM‑MMI), got the Helmholtz Imaging Project funding of 200K Euros for the proposal of our project planned for 3 years

Help a hematologist out Challenge

• 3rd place winning solution
• I took part in the Help a hematologist out Challenge at Helmholtz Incubator Summer Academy ‑ From Zero to Hero, 2022 and joined the BLAMAD team. The theme of the challenge was to find creative domain adaptation solutions for blood‑cell classification which is important for diagnosis of diseaeses such as anemia or leukemia. We used domain adaptation techniques and won the 3rd place among all participating teams