teaching
Teaching Assistant at TU Darmstadt
Courses
- 18-pe-2080 Graph Signal Processing, Learning, and Optimization
Instructor: Prof. Marius Pesavento, Winter Semester 2020/21 – Winter Semester 2024/25 - 18-pe-2070 Matrix Analysis and Computations
Instructor: Prof. Marius Pesavento, Summer Semester 2019 – Summer Semester 2024 - 18-pe-2050 Project Seminar: Procedures for Massive MIMO and 5G
Instructor: Prof. Marius Pesavento, Summer Semester 2020 - 18-pe-2030 MIMO Communication and Space-Time Coding
Instructor: Prof. Marius Pesavento, Winter Semester 2018/19 – Winter Semester 2019/20
Supervised Student Projects
- Distributed nonlinear polynomial graph filter and its output graph spectrumDec 2022
- Parallel optimization methods for graph topology learning and trackingMar 2020
- Sparse reconstruction and prediction of mobility patterns in traffic networksTechnische Universität Darmstadt, Jun 2020
- Implementation of a block coordinate descent graph learning algorithm and its application to real-world problemsOct 2020
- Gridless sparse DoA estimation with shift invariant subarrays using stochastic maximum likelihoodNov 2025
- Parallel optimization methods for sparse signal recovery from non linear mixturesTechnische Universität Darmstadt, 2019
- Resource allocation in wireless networks using graph convolutional neural networksTechnische Universität Darmstadt, Nov 2021
- Implementation of a parallel algorithm for sparse optimization on a graphical processing unitTechnische Universität Darmstadt, Jul 2019
- Optimization algorithms for graph Laplacian estimation via ADMM and MMSep 2020
- Sparse graph Laplacian learning with real-world dataApr 2021
- Direction of arrival estimation in the multiple measurement model using sparse reconstructionTechnische Universität Darmstadt, Nov 2022
- Implementation of parallel optimization for nondifferentiable nonconvex problems on GPU architectureTechnische Universität Darmstadt, Sep 2019
- Advanced optimization methods for direction-of-arrival estimation with correlated sourcesTechnische Universität Darmstadt, Mar 2022
- Sparse graph Laplacian learning with real-world dataTechnische Universität Darmstadt, May 2021