Teaching
Current and upcoming courses
Chalmers & GU - TMA947 / MMG621 - Nonlinear optimisation. Examiner and main lecturer. Autumn 2024.
Past courses
Bachelor and Masters level courses
Chalmers & GU - TMA947 / MMG621 - Nonlinear optimisation. Examiner and main lecturer. Autumn 2022, 2023.
KTH - SF2812 - Applied linear optimization. TA. Spring 2015, 2016, 2019.
KTH - SF2822 - Applied nonlinear optimization. TA. Spring 2015, 2016, 2017, 2018.
KTH - SF2832 - Mathematical systems theory. TA. Autumn 2016, 2017, 2018.
PhD level courses
Chalmers - FSSY055 Linear Dynamical Systems. Teaching, together with main responsible Balázs Adam Kulcsár. Spring 2024
Thesis supervision
M.Sc theses
Spring 2024, Chalmers - SAAB. Viktor Nevelius Wernholm and Alfred Wärnsäter, Efficient Evaluation of Target Tracking Using Entropic Optimal Transport.
Autumn 2023 - Spring 2024, GU. Sara Nilsson and Gustav Svensson, Entropic Proximal Gradient Method for Generalized Optimal Transport Problems.
Spring 2023, Chalmers - EPFL. Basil Fabris, Investigating a Byzantine Resilient Framework for the Adam Optimizer.
Spring 2022, Chalmers - Ericsson. Xinrong Zhao, Test optimization using Machine Learning methods on the production of 5G radio products.
Spring 2022, Chalmers. Vincent Molin, Bayesian inverse problems with neural generative priors.
Spring 2022, Chalmers - AB Volvo. Gustav Johannesson and Alexander Lindhardt, Machine Learning Based Charging Decision Policy for a Fleet of Electric Vehicles.
Spring-Autumn 2018, KTH - Elekta. Emil Norell, Gamma Knife treatment planning with new degrees of freedom.
B.Sc theses
Spring 2023, Chalmers. Supervised one bachelor thesis projects: [here]
Spring 2022, Chalmers & GU. Supervised two bachelor thesis projects: [here] and [here]
Spring 2018, KTH. Participated in supervision of two bachelor thesis projects: [here] and [here]
Spring 2017, KTH. Supervised one bachelor thesis project: [here]
Thesis examiner
(At Chalmers and GU, the role of supervisor of a M.Sc thesis and examiner of a M.Sc thesis is often separated)Spring 2024, Chalmers. Gabriel Vevang, Diffusion based interacting particle system for optimization.
Spring 2023, Chalmers. Oscar Helgesson and Norbert Laszlo, Sparse Time Series Demand Forecasting for Intermittent Availability.
Spring 2023, Chalmers. Ruben Seyer, Differentiable Monte Carlo Samplers with Piecewise Deterministic Markov Processes.
Spring 2022, Chalmers. Sara Wäpling, Optimizing Box Sizes for Shipping in E-Commerce - A Mixed-Integer Linear Programming and a Genetic Algorithm Approach.
Spring 2022, Chalmers. Marielle Cederlunc, Optimization of ergonomic grip choices in simulations of industrial assembly.