Pierre De Handschutter Email & Phone Number

Gosselies

Application of various machine learning/AI techniques in the context of industrial projects

Mons

Lecturer for the course "Probability and statistics" (4 ECTS) at second term (second year students)

Mons

I worked on Deep Matrix Factorization, a promising field of unsupervised AI, in a world-leading lab in the field (Promoter is Prof. Nicolas Gillis, owner of a ERC starting grant). I also had pedagogical tasks including coach of a first-year-bachelor team of students in their first project; supervising a 3*3 hours challenge on reinforcement learning (as assistant of the main professor); assistant in advanced optimization.List of published peer-reviewed publications:-DE HANDSCHUTTER… Show more I worked on Deep Matrix Factorization, a promising field of unsupervised AI, in a world-leading lab in the field (Promoter is Prof. Nicolas Gillis, owner of a ERC starting grant). I also had pedagogical tasks including coach of a first-year-bachelor team of students in their first project; supervising a 3*3 hours challenge on reinforcement learning (as assistant of the main professor); assistant in advanced optimization.List of published peer-reviewed publications:-DE HANDSCHUTTER, Pierre, GILLIS, Nicolas, VANDAELE, Arnaud, et al. Near-Convex Archetypal Analysis. IEEE Signal Processing Letters, 2019, vol. 27, p. 81-85. -VANABELLE, Paul, DE HANDSCHUTTER, Pierre, EL TAHRY, Riëm, et al. Epileptic seizure detection using EEG signals and extreme gradient boosting. The Journal of Biomedical Research, 2020, vol. 34, no 3, p. 226-237. - De Handschutter, P., Gillis, N., & Siebert, X. (2021). A survey on deep matrix factorizations. Computer Science Review, 42, 100423. - De Handschutter, P., & Gillis, N. (2021, August). Deep orthogonal matrix factorization as a hierarchical clustering technique. In 2021 29th European Signal Processing Conference (EUSIPCO) (pp. 1466-1470). IEEE. - De Handschutter, P., & Gillis, N. (2023). A consistent and flexible framework for deep matrix factorizations. Pattern Recognition, 134, 109102.- De Handschutter, P., Gillis, N., & Blekic, W. (2023, September). Deep symmetric matrix factorization. In 2023 31st European Signal Processing Conference (EUSIPCO) (pp. 635-639). IEEE. Show less

Gosselies

Detection of epilepsy seizures based on TUH dataset and machine/deep learning models : paper "Epileptic Seizure Detection Using EEG Signals and Extreme Gradient Boosting" published in The Journal of Biomedical Research

Mons

During 4 weeks, I helped a PhD. student in his work (math's service), drawing learning curves for SVM's and neural networks. It allowed the PhD. student to identify new directions of research and partnerships. Keywords: VC dimension, Python, SVM, neural network, statistical learning

Mons

I realized an internship in the computer science service that allowed me to become familiar with deep learning, using Keras, scikit-learn,...

Phd In Applied Mathematics

See section "experience" for more details, and publications list

Second Year Of Master, Computer Science And Management Engineering, Mathematics And Computer Science, 18.8/20 Greatest Distinction, Jury'S Congratulations. Excellence Award

Activities and Societies: Student representative Master Thesis : Near Convex Archetypal Analysis (Applied Mathematics) giving birth.

First Year Of Master, Computer Science And Management Engineering, 18.0/20

Activities and Societies: Student representative Enerflex (group project consisting in the development of a generic tool to increase.

Third Year Of Bachelor, Computer Science And Management Enginnering, Computer Engineering, 18.3/20; Greatest Distinction, Jury'S Congratulations

Activities and Societies: Student Representative

Second Year Of Bachelor, Engineering, 18.2/20

First Year Of Bachelor, Engineering, 18.1/20