Linear algebra and optimization
Non-linear Dynamics and Control
Digital Signal Processing
Mathematical Techniques for signal processing and control
Probability and Random Processes
Data-driven system theory
Mathematics of Machine Learning (a short course at Soongsil University, South Korea)
Machine learning
Estimation and Identification
Detection and Estimation
Graph Operators and Learning (EE 5540):Â Introduction to graphs, matrix representations of graphs, spectral properties of graph matrices and associated spectral inequalities. Graph signal processing: graph convolution and filtering, Sampling and Interpolation. Graph neural networks: architectural principles, stability, and generalization issues. Graph convolutional and attention networks. Introduction to Geometric Deep Learning. Applications: Image, speech, and Dynamical systems.