Maties Machine Learning (MML) is a seminar series and discussion forum with the goal of bringing together people working on machine learning at Stellenbosch University. We meet roughly once a month for short talks on people’s current work, some ML-related topic, or open discussions. The idea is to get to know what others are working on and to strengthen machine learning research at Stellenbosch.
Upcoming talks
18 September 2026, 13:10-14:00 in room S3068, Civil Engineering Building
Kirsten Morris - Estimation of nonlinear systems using neural networks
Estimation of nonlinear systems is extremely challenging and can be computationally intensive. Neural networks and machine learning have great promise for the design of fast estimators that yield good performance. Some results proving stability of the error dynamics have also been obtained.
Bio: Prof. Kirsten Morris is a professor in the Applied Mathematics Department at the University of Waterloo, specialising in control and estimation of PDE-modelled systems, including actuator and sensor placement in controller and estimator design. A Fellow of IEEE, IFAC, and SIAM, she has authored several books on control theory and served in leadership roles with the IEEE Control Systems Society and SIAM.