Courses as instructor
- Emerging topics in advanced computing, PhD course, Faculty of Informatics, USI, 2024.
- Numerical computing, BSc of Informatics, USI, 2023.
- (forthcoming) Data analytics for fraud detection, MSc of Computational Science, MSc Financial Technology and Computing, USI. Together with Dr. Madan Sathe.
PhD co-supervision
- (ongoing) M. Lechekhab, Multilevel diffusion-based graph methods for clustering and anomaly detection, USI.
MSc co-supervision
(ongoing) J. Palumbo, Spectral embeddings for directed graph clustering, USI and Politecnico di Milano (Polimi).
(ongoing) C. Ricci, Using time-series clustering for a better financial crime segmentation model, USI and Università degli Studi di Milano-Bicocca (UniMiB).
Julien Schmidt, Detecting financial fraud using graph neural networks, Poster at PASC’23, Davos, Switzerland, and MSc thesis, USI, 2023. Poster Thesis
BSc co-supervision
- Lazar Najdenov, A study of spectral clustering techniques for machine learning applications, BSc thesis, USI, 2020. Thesis
Semester projects
(ongoing) G. Meyer, New data formats for sparse tensor contractions, USI.
E. Steinmacher, Genuine atomic multicast on Apache Kafka, USI, Poster at PASC’24 conference, Zürich, Switzerland. Poster
Kalman Szenes, Spectral clustering using a multilevel approach, ETH Zürich 2022. Slides
Liudmila Karagyaur, Vanessa Braglia, and Lorenzo Ferri, A high performance video segmentation framework, Semester project, USI, 2019. Report
Ezekiel Barnett, Sumeet Gyanchandani, and Sameer Rawat, High performance topology optimization , Semester project and poster submission, USI, 2019. 3rd place runner-up award for “Best poster” at PASC’18, Basel, Switzerland. Poster
Courses as assistant
- High Performance Computing, USI. Course link
- High-Performance Computing Lab for CSE, ETH Zürich. Course Link
- Numerical computing, USI. Course Link
- Linear Algebra, USI. Course Link