Tolga Dinçer
Fähigkeiten und Kenntnisse
Werdegang
Berufserfahrung von Tolga Dinçer
- Current 2 years and 4 months, since Feb 2024
AI Engineer
neuland AI AG
- 7 months, Oct 2023 - Apr 2024
Research Assistant
RWTH Aachen Institute for Imaging and Computer Vision
- Biomedical image registration. - Florescence microscopy images of 3D pig tissue-Registration of individual slices for 3D visualization.
- 9 months, Sep 2022 - May 2023
Graduate Student Research Assistant
RWTH Aachen Institute for Imaging and Computer Vision
- Development of CNN and RNN based architectures. - Cell-cycle classification for 3D+time data. - Preparation of cell datasets with focus on mitosis.
- 6 months, Apr 2022 - Sep 2022
Deep Learning Engineering Intern
BASF Digital Farming GmbH
- Growth stage classification using deep learning algorithms on plant images. - Application of unsupervised learning to plant images. - Development of segmentation algorithms and GUI software for semi-automatic segmentation of plants.
- 4 months, Oct 2021 - Jan 2022
Graduate Student Research Assistant
RWTH Aachen Computer Vision Group
- Improvement of Exemplar-Based Open-Set Panoptic Segmentation
- 3 months, Jul 2018 - Sep 2018
Engineering Intern
SDT - Space & Defense Technologies
- Radar signal processing with focus on target detection algorithms using Matlab.
Ausbildung von Tolga Dinçer
- 2 years and 11 months, Oct 2020 - Aug 2023
Computer Engineering
RWTH Aachen
-Grade: 1.7 (Thesis Grade: 1.3) -Thesis: Automatic classification of cell-cycle stages using neural networks in 3D + time data. -Courses taken: Machine Learning Image Data Analysis Pattern Recognition Image Processsing Lab: Machine Learning Seminar: Current trends in 3D Image Analysis
- 4 years, Sep 2015 - Aug 2019
Electrical and Electronics Engineering
Bilkent University, Turkey
Sprachen
English
C2 (Verhandlungssicher / Muttersprachlich)
German
B1-B2 (Gute Kenntnisse)
Turkish
C2 (Verhandlungssicher / Muttersprachlich)
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