
Robin Vandaele
Postdoctoral ResearcherIDLab, Department of Electronics and Information Systems
Ghent University
Advisors: Tijl De Bie and Yvan Saeys
Papers
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Graph Approximations to Geodesics on Metric Graphs
Robin Vandaele, Yvan Saeys, and Tijl De Bie
(to appear) In The International Conference on Pattern Recognition (ICPR), 2020.
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Topological image modification for object detection and topological image processing of skin lesions
Robin Vandaele, Guillaume Adrien Nervo, and Olivier Gevaert
In Nature Scientific Reports, 2020.
paper
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Mining Topological Structure in Graphs through Forest Representations
Robin Vandaele, Yvan Saeys, and Tijl De Bie
In The Journal of Machine Learning Research (JMLR), 2020.
paper
Theses
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Topological Inference in Graphs and Images
Robin Vandaele, Yvan Saeys, and Tijl De Bie
Doctoral dissertation submitted to obtain the academic degree of Doctor of Computer Science Engineering, Ghent University, 2020.
thesis
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Topological Data Analysis of Metric Graphs for Evaluating Cell Trajectory Data Representations
Robin Vandaele, Tijl De Bie, and Yvan Saeys
Master dissertation submitted in order to obtain the academic degree of Master of Science in Statistical Data Analysis, Ghent University, 2020.
thesis
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Reverse mathematics of the Browder-Göhde-Kirk fixed point theorem
Robin Vandaele, Andreas Weiermann, and Paul Shafer
Master dissertation submitted in order to obtain the academic degree of Master of Science in Mathematics, Ghent University, 2016.
thesis
Working Experience
- Postdoctoral Researcher, IDLab, Department of Electronics and Information Systems, Ghent University, 2021 - now.
- PhD Researcher, IDLab, Department of Electronics and Information Systems, Ghent University, 2016 - 2020.
- Visiting Student Researcher, Stanford School of Medicine, Department of Medicine/Division of Biomedical Informatics Research, Stanford University, 2020, March - May.
Education
- PhD in Computer Science Engineering, 2020.
- MSc in Statistical Data Analysis, Major Computational Statistics, 2020.
- MSc in Mathematics, Major Pure Mathematics, Minor Research, 2016.
- BSc in Mathematics, Minor Biology, 2015.
Teaching
- Teaching Assistant, E003042: Probability Calculus and Statistics, Spring 2017, 2018, 2019, Ghent University.
- Teaching Assistant, E005020: Signals and Systems, Autumn 2018, Ghent University.
Community Services
Organisation of conferences, workshops, panels
- ECML-PKDD Workshop on Applications of Topological Data Analysis (ATDA), 2019.
Reviewer for journals
- Transactions on Knowledge Discovery from Data.
Program committee member for conferences and workshops
- SIAM International Conference on Data Mining (SDM21), 2021.
- NeurIPS Workshop on Topological Data Analysis and Beyond (TDA & Beyond), 2020.
- European Conference on Machine Learning and Principles and Practice of Knowledge Discovery, 2019.
- ACM SIGKDD Workshop on Interactive Data Exploration and Analytics (IDEA), 2018.
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