


Mathematical brain modeling
This lecture overviews Mathematical Brain Modeling that has many applications in Artificial Neural Networks. It covers the following topics in detail: Brain Cells (Sensory and Motor neurons, Interneurons, glia).



Syntactic Pattern Recognition
This lecture overviews that has many applications in data analysis. It covers the following topics in detail: Syntactic Pattern Recognition Systems. Preprocessing Techniques. String-Based Models.



Drone Vision for Infrastructure Inspection
This lecture overviews the use of drones for infrastructure inspection and maintenance. Various types of inspection, e.g., using visual cameras, LIDAR or thermal cameras are reviewed. Primary application area is electric line inspection.
Hybrid AI for knowledge representation and model-based medical image understanding
Image understanding benefits from the modeling of knowledge about both the scene observed and the objects it contains as well as their relationships.
Robots Learning (Through) Interactions
The acquisition and self-improvement of novel motor skills is among the most important problems in robotics.



AI and Computational Politics
The aim of this lecture is to a) define Computational Politics as a discipline lying at the intersection of Political science and Computer science and b) present the use of AI and IT tools in political data analysis.