Supervision

Here you can find all my supervision work at TU Delft.

Bachelors Students

During my PhD at TU Delft, I have created and structured the research projects for the bachelor’s thesis, and lead the supervision of the following students:

• 2022 / Q4 – Project “Automatic feature discovery for machine learning”, responsible prof: Rihan Hai
  • Eduard Cruset Pla – From Feature Selection to Data Augmentation: the ADA Algorithm, paper, poster
  • Oliver Neut – Automatic feature augmentation ranking: XGBoost, paper, poster
  • Oskar Lorek – PCADA: Partial Correlation Aware Data Augmentation for random forest classifier, paper, poster
• 2023 / Q4 – Project “Automatic feature discovery to improve Machine Learning performance”, responsible prof: Asterios Katsifodimos
  • Andrei Manastireanu – Automatic Feature Discovery: A comparative study between filter and wrapper feature selection techniques, paper, poster
  • Andrei Udila – Encoding Methods for Categorical Data: A Comparative Analysis for Linear Models, Decision Trees, and Support Vector Machines, paper, poster
  • Duyemo Anceaux – A comparative study for using PCA, LDA, GDA, and Lasso for dimensionality reduction before classification algorithms, paper, poster
  • Florena Buse – Data-Driven Empirical Analysis of Correlation-Based Feature Selection Techniques, paper, poster
  • Kiril Vasilev – Filtering Knowledge: A Comparative Analysis of Information-Theoretical-Based Feature Selection Methods, paper, poster

The research conducted by Kiril Vasilev and Florena Buse has been part of the research paper: AutoFeat: Transitive Feature Discovery over Join Paths, ICDE 2024

Masters Students

At TU Delft, I supervised the following master students:

• 2024
  • Zeger Mouw - Human Interaction in Tabular Data Augmentation in Data Science Workflows, paper

  The research conducted by Zeger Mouw has been part of the following papers:

  • Human-in-the-Loop Feature Discovery for Tabular Data, Demo@CIKM 2024
  • Key Insights from a Feature Discovery User Study, HILDA@SIGMOD 2024
• 2022
  • Wang Hao Wang - An exploratory journey to combine schema matchers for better relevance prediction, paper