Data-driven Modelling: An Integrative Approach For Various Application Areas.pdf

An Integrative Approach

Speaker: Prof. Johan Suykens (KU Leuven, ESAT-SCD)

This lecture series explores advanced data-driven modelling techniques, focusing on both theoretical foundations and practical applications across diverse fields.

Key Themes:

Black-box Modelling: Investigates methods for learning powerful models from data without requiring detailed knowledge of the underlying system, applicable to areas like energy consumption, traffic networks, and biomedicine.
Support Vector Machines (SVM) and Kernel Methods: Examines SVMs for regression, dynamic system modelling, control problems, and large-scale forecasting. Introduces kernel methods for dimensionality reduction, data visualization, and community detection in complex networks.
Applications in Biomedicine and Bioinformatics: Discusses SVM and kernel-based approaches for ovarian cancer detection, survival analysis in breast cancer, brain tumor recognition, microarray data analysis, and genomic data fusion. Emphasizes the use of parametric models combined with regularization techniques for interpretability and structure detection.
Exploratory Data Analysis and Community Detection: Explores eigenvalue decompositions in kernel principal component analysis, spectral clustering, manifold learning, and data visualization using least-squares SVM approaches. Highlights applications like image segmentation, customer profile clustering, and community detection in evolving networks.
Complex Networks, Synchronization, and Cooperative Behavior: Focuses on synchronization theory and its connections to systems and control theory for Lur'e systems (including neural networks and genetic oscillators). Explores the use of synchronization techniques for global optimization problems, including coupled local minimizers and simulated annealing methods.

Highlights:

Prof. Suykens is a renowned expert in artificial neural networks, least squares support vector machines, and synchronization theory.
He has authored several influential books and received numerous awards for his research contributions.
The series offers a comprehensive overview of cutting-edge data-driven modelling techniques with real-world applications.