Dr. Leonid Kostrykin is a postdoctral researcher at Heidelberg University, interested in computer vision, image processing, and computer graphics. His main research interests are globally optimal methods for computer vision and image processing.
Projects and Affiliations
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Forschungszentrum Jülich GmbH,
- ELIXIR Germany Officer of the Heidelberg Center for Human Bioinformatics (HD-HuB) (2023–present).
Development and deployment of image analysis tools for Galaxy Europe and Bioconda
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Biomedical Computer Vision Group,
Heidelberg University,
- Research Fellow, PhD Student (2016–2022),
- Postdoctoral Researcher (2022–present).
- Pattern Recognition and Image Analysis for Visual Inspection of Electric Generators (2019–present)
- Globally Optimal Cell Segmentation using Shape and Intensity Information (2016–present)
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Heinrich-Heine-Universität Düsseldorf,
- Master's Student (2013–2016).
Master's Project: Blind Deconvolution of Noisy Image Sequences
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University of Applied Sciences Aachen,
- Undergraduate Student (2010–2013).
Thesis: Virtual Coronary Angiography based on CT Data
Talks and Posters
- Invited talk. Next Generation Bioimage Analysis Workflows Hackathon: Workflows for Image Analysis using Galaxy. L. Kostrykin, Irchel Campus, University of Zürich, Nov 2023.
- Poster. DAGM German Conference on Pattern Recognition: Superadditivity and Convex Optimization for Globally Optimal Cell Segmentation using Deformable Shape Models. L. Kostrykin, Sep 2023.
- Talk. International Conference on Control, Automation and Systems: Globally Optimal and Scalable Video Image Stitching for Robotic Inspection of Electric Generators. L. Kostrykin, Oct 2021.
- Talk. IEEE International Symposium on Biomedical Imaging: Segmentation of Cell Nuclei using Intensity-based Model Fitting and Sequential Convex Programming. L. Kostrykin, Apr 2018.
Teaching Activities
- Coordinator & teacher of the de.NBI training course “Microscopy Image Analysis 2023,” de.NBI Project, HD-HuB (2023). [uni-heidelberg.de]
- Annual organization and supervision of Python programming classes for undergraduate students of molecular biotechnology (2020–present).
- Teacher of the de.NBI training course “Microscopy Image Analysis 2019,” de.NBI Project, HD-HuB (2019). [uni-heidelberg.de]
- Annual supervision of Java programming classes for undergraduate students of molecular biotechnology (2017–2019).