Projects | Research | Experience | Contact
About me
Associate Professor in Computer Science @ Université de Haute Alsace.
Researcher @ IRIMAS in the MSD team.
Lecturer @ ENSISA in the Computer Science & Networking department.
Personal Projects
You can find all my projects on my github profiles Cyril-Meyer and Yt-trium (old account). Here is a summary of the most interesting.
↳ Data analysis / Data visualization
- data.cyrilmeyer.eu
Blog with data analysis, data visualization, dataset aggregation, based on open data / public datasets. - VREMS
Volume Rendering toolkit for Electron Microscopy Segmentations. - Alad0
A minimalist Python/WebGL system for viewing FITS images (preview).
↳ Machine learning / Deep Learning / related Python library & toolkit
- NeNISt
Neural Networks (Deep Learning) based Image Segmentation toolkit for Electron Microscopy. - lii
Large Image Inference. - tism
TensorFlow Image Segmentation Models. - isisim
Interactive Segmentation Interaction SIMulation : simulate user interaction for interactive segmentation algorithms. - NumPyDraw
Draw 2D and 3D shapes into NumPy array. - SegmentationToScribble
Convert segmentation binary mask into scribble binary mask (isisim prequel). - DeepSeg3D (2018)
Neural network toolkit for 3D image segmentation, check the wiki for more information.- nii-pooling
Simple script to resize nifti images. - Chainsaw
Graph/Tree-like Image Generator.
- nii-pooling
↳ Image Processing (no machine or deep learning)
- Cyril-Meyer/LibTIM
Fork of bnaegel/LibTIM, image processing library. - PyLibTIM
Python library that binds some features of LibTIM. - MaMPy
Mathematical Morphology Python Library. - ISVaC
Image Sensor Vacuum Cleaner, a one night project aiming to remove dirt on images.
↳ Electronics / Embedded System
↳ Miscellaneous
- ArtOfRallyTK
Toolkit for Art Of Rally. - VirtualBrush
Create virtual brush stroke with bristle simulation. - PyBattery
Laptop Battery Logger. - Couscous-raytracer
Another raytracing rendering engine. - PotatoC
A StenC (Simplified-C) Compiler for MIPS R2000.
Contributions to Open Source community projects
- aeon
A toolkit for machine learning from time series. - Higra and Higra-Notebooks
Hierarchical Graph Analysis library for efficient sparse graph analysis. - sktime
A unified framework for machine learning with time series. - OpenMW
Open source Elderscrolls 3: Morrowind engine reimplementation.
Website subdomains
Research
International Articles & Communications in Journals, Conferences and Workshops
- Cyril Meyer, Ali Ismail-Fawaz, Maxime Devanne, Jonathan Weber, Germain Forestier : A Deep Dive into Alternatives to the Global Average Pooling for Time Series Classification. Advanced Analytics and Learning on Temporal Data, 2026. 10.1007/978-3-032-15535-1_6.
🔗 📄 📽️ 🖥️ - Javidan Abdullayev, Maxime Devanne, Cyril Meyer, Ali Ismail-Fawaz, Jonathan Weber, Germain Forestier : Enhancing Time Series Classification with Diversity-Driven Neural Network Ensembles. International Joint Conference on Neural Networks (IJCNN), 2025. 10.1109/IJCNN64981.2025.11228372.
🔗 📄 - Cyril Meyer, Victor Hanss, Etienne Baudrier, Benoît Naegel, Patrick Schultz : DeepSCEM: A User-Friendly Solution for Deep Learning-Based Image Segmentation in Cellular Electron Microscopy. Biology of the Cell, 2025. 10.1111/boc.70032.
🔗 📄 🖥️ - Cyril Meyer, Étienne Baudrier, Patrick Schultz, Benoît Naegel : Combining Max-Tree and CNN for Segmentation of Cellular FIB-SEM Images. Reproducible Research in Pattern Recognition, 2023. 10.1007/978-3-031-40773-4_7.
🔗 📄 ICube:4-MBSN22 🖼️ 🖥️ - Cyril Meyer, Véronique Mallouh, Danièle Spehner, Étienne Baudrier, Patrick Schultz, Benoît Naegel : Automatic Multi Class Organelle Segmentation For Cellular Fib-Sem Images. IEEE 18th International Symposium on Biomedical Imaging (ISBI), 2021. 10.1109/ISBI48211.2021.9434075.
🔗 📄 ICube:4-MMSB21 🖼️ 🖥 - Dominique Badariotti, Cyril Meyer, Yasmina Ramrani : MoGUS, Un Outil de Modélisation et d’analyse Comparative Des Trames Urbaines. Revue Internationale de Géomatique, 2020. 10.3166/rig.2021.00109.
🔗 📄 - Pedro Sanchesa, Cyril Meyer, Vincent Vigon, Benoit Naegel : Cerebrovascular Network Segmentation of MRA Images With Deep Learning. IEEE 16th International Symposium on Biomedical Imaging (ISBI 2019), 2019. 10.1109/ISBI.2019.8759569.
🔗 📄 ICube:4-SMVN19 & arXiv:1812.01752
Dissertations
- Cyril Meyer : Segmentation d’images de Microscopie Électronique Par Apprentissage Profond Pour l’analyse Quantitative de l’ultrastructure Cellulaire. 2023.
📄 PhD manuscript, defended 17/11/2023 📄 theses.fr/2023STRAD045.
Other Communications & Datasets
- Cyril Meyer : DeepSCEM : Examples Datasets. 2024. 10.5281/zenodo.12168941.
🔗 - Cyril Meyer : DeepSCEM : Examples Results. 2024. 10.5281/zenodo.12518270.
🔗 - Cyril Meyer, Patrick Schultz : IGBMC ICube I3 : Image and Annotations. 2023. 10.5281/zenodo.8341172.
🔗 - Cyril Meyer, Patrick Schultz : IGBMC ICube LW4-1 : Image and Annotations. 2023. 10.5281/zenodo.8344292.
🔗
Professional Experience
- Sep 2024 - now : Associate professor ENSISA, IRIMAS, UHA, team MSD.
- Oct 2023 - Aug 2024 : ATER IUT Robert Schuman, ICube (UMR 7357), team IMAGeS.
- Oct 2022 - Sep 2023 : PhD Student & ATER IUT Robert Schuman, ICube (UMR 7357), team IMAGeS and IGBMC (UMR 7104).
- Oct 2019 - Sep 2022 : PhD Student at ICube (UMR 7357), team IMAGeS and IGBMC (UMR 7104).
Deep learning image segmentation in electron microscopy for quantitative analysis of cellular ultrastructure. - Sep 2018 - Sep 2019 : Research Engineer (co-op) at LIVE Laboratory (UMR 7362).
REMUS and MoGUS project : urban model generation, analysis and simulation. - May 2018 - Aug 2018 : Internship at ICube (UMR 7357), team IMAGeS.
Cerebrovascular Network Segmentation on MRA Images with Deep Learning. - June 2017 - July 2017 : Internship at ICube (UMR 7357), team Réseaux.
LoRa End-Device objects development. - Nov 2015 - Oct 2017 : Undergraduate Teaching Assistant (Université de Strasbourg). Examination and lab supervisor.
Teaching and student supervision
| Course | Subjects | Diploma | Year |
|---|---|---|---|
| Real Time Programming | Low level programming in C for real time systems | Engineering Degree in computer & network | 2025 - now |
| System Programming | Low level programming in C and unix primitives | Engineering Degree in computer & network | 2024 - now |
- 3rd year engineering school project
- Deep learning for cheat detection in competitive video games (Victor Murris 2025/2026)
- Machine learning for malware detection through static and dynamic analysis (Liza Bouarab and Lucas Déhé 2025/2026)
- Study and research work supervision (Master in Computer Science)
- Component-trees for self-supervised learning (2025)
- Interactive segmentation of biomedical images using deep learning (segment anything) (2023)
- Max-tree for self-supervised learning (2023)
- Deep learning and morphological operators (Choaib Rostaqi 2021)
- 150h project supervision (Master in Computer Science)
- Data augmentation for biomedical image segmentation using deep learning (2022)
- Interactive image segmentation algorithms by graph cutting in Python (2022)
- Hybrid CNN / component-tree method for object detection (2022)
Old courses
| Course | Subjects | Diploma | Year |
|---|---|---|---|
| Database (D11) | Relational Algebra / SQL / Oracle DBMS | BUT in Computer Science | 2019 - 2024 |
| Object-oriented Development (P21) | UML & Java & Object-Oriented Programming | BUT in Computer Science | 2022 - 2024 |
| Efficient Development (P31) | Advanced Java & Object-Oriented Programming | BUT in Computer Science | 2022 - 2024 |
| Discrete mathematics (M11) | Discrete mathematics and C programming | BUT in Computer Science | 2023 - 2024 |
| Numerical Methods (M21) | Numerical methods for computer science | BUT in Computer Science | 2022 - 2024 |
| Descriptive Statistics (M22) | Numerical tools for descriptive statistics | BUT in Computer Science | 2022 - 2024 |
| WEB (W11) | HTML / CSS / JS | BUT in Computer Science | 2019 - 2023 |
Education
- 2019 - 2023 : PhD in Computer Science (ED 269, Université de Strasbourg)
- 2017 - 2019 : Master’s Degree in Computer Science and Imaging Science (UFR de mathématique et d’informatique, Université de Strasbourg)
- 2013 - 2017 : Bachelor’s Degree in Computer Science (UFR de mathématique et d’informatique, Université de Strasbourg)
- 2015 - 2016 : University Diploma of Student Engagement (Université de Strasbourg)
- 2010 - 2013 : High School Diploma in Sciences (Lycée Louis Armand Mulhouse)
Volunteering and Student Engagement
- 2017 - 2019 : Student Vice-President (UFR de mathématique et d’informatique, Université de Strasbourg)
- 2015 - 2017 : Student Rep (UFR de mathématique et d’informatique, Université de Strasbourg)
Associations
- 2019 - 2022 : IMAGeS team representative at AJCI
- 2018 - 2019 : Mission Leader Illkirch at AIUS
- 2017 - 2018 : Vice President Illkirch at AIUS
- 2016 - 2017 : IT manager at ADEM
- 2015 - 2016 : President at ADEM
- 2014 - 2015 : Treasurer at ADEM
- 2013 - 2014 : Mission Leader at ADEM
AIUS : Amicale des Informaticiens de l’Université de Strasbourg
(Computer Science Student Association)
ADEM : Amicale Des Étudiants en Mathématiques
(Mathematics Student Association)
AJCI : Association des Jeunes Chercheurs d’ICube
(Young Lab Researchers)
Contact information
E-mail : contact [at] cyrilmeyer [dot] eu
LinkedIn : cyril-meyer