Elia.
van wolputte

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academia

A summary of academic activities beyond my own research, namely: teaching, thesis supervision, outreach and professional service.

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Teaching

2016-2021 | Database Systems

My responsibilities included the following tasks;

  • Teaching the exercise sessions.
  • Grading exams.
  • Creation, coordination and grading of a take-home project for 100+ students. A particularly challenging project; imagine 100+ people depending on your code for their grades: the stakes were high on this one.
  • Transitioning to full-remote teaching during COVID-19.

2016-2021 | Proofs and Mathematical Reasoning for Informatics

My responsibilities included the following tasks;

  • Teaching the exercise sessions.
  • Creation of supplementary material (related to the exercises) for students.
  • Transitioning to full-remote teaching during COVID-19.

Thesis Supervision

  • 2020-2021 | T. Claessens - Anomaly detection for the beam transfer equipment of the Large Hadron Collider
  • 2019-2020 | K. Bringmans - Scalable anomaly detection for beam transfer equipment of the CERN LHC
  • 2019-2020 | K. Catalsakal - Machine Learning in Shapley Space

    • Winner 2020 Colruyt Group award for best thesis in AI.

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  • 2018-2019 | T. Dewitte - Anomaly detection for the injection kicker magnets of the CERN LHC

    • Winner 2019 Colruyt Group award for best thesis in AI.

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  • 2018-2019 | J. Oris - Automatische algoritmeselectie in een heterogeen multi-directioneel ensemble
  • 2018-2019 | J. Nys - Quantum Machine Learning
  • 2018-2019 | CW Kuan - Interpretability of Multi-Directional Models
  • 2017-2018 | S. Van Hove - Complete Decision Tree Induction Functionality in Scikit-learn

    • Open source implementation here.

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  • 2017-2018 | A. Halilovic - Anomaly Detection for the CERN Large Hadron Collider injection magnets

Outreach

2019 Summer School of Science (S3) in Požega, Croatia

The Summer School of Science (est. 2001) is an international summer workshop aimed at high school student (ages 15-17) held annually in Požega, Croatia during 10 days in summer.

I was invited as a project leader, which means I supervised a group of four students during the camp, guiding them through a scientific project that I prepared. This year, the aim was that the students convert a regular RC-car into a miniature self-driving car, capable of autonomously completing a circuit using only images captured by an on-board webcam.

2021 Summer School of Science (S3) in Požega, Croatia

I was re-invited to the Summer School of Science as a project leader, which I take as a big compliment. Turns out not only I, but more importantly, the students and the organization also loved the 2019 self-driving car.

This time around, the idea was teaching the students about the basic principles of quantum computing and machine learning and apply those ideas to do some elementary machine learning on a quantum computer.

N.B. Cancelled due to COVID-19 :’(

Professional Service

Reviewer

PC Member

Organization

I co-organized a three day Spring workshop on mining and learning (SMiLee) for the ML group of KU Leuven in 2017.