Robin Vandaele

Postdoctoral Researcher
IDLab, Department of Electronics and Information Systems
Ghent University

Advisors: Tijl De Bie and Yvan Saeys

Robin.Vandaele@UGent.be
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Papers

• 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.
  

• 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  

• 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  

• The Boundary Coefficient: a Vertex Measure for Visualizing and Finding Structure in Weighted Graphs
  Robin Vandaele, Yvan Saeys, and Tijl De Bie
  In the KDD Workshop on Mining and Learning with Graphs (MLG), 2019.
  paper  

• Local topological data analysis to uncover the global structure of data approaching graph-structured topologies
  Robin Vandaele, Tijl De Bie, and Yvan Saeys
  In The European Conference on Machine Learning and Principles and Practice of Knowledge Discovery (ECML-PKDD), 2018.
  paper  

Theses

• 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  

• 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  

• 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.