ADR Awareness Centre

This lecture overviews Graph Signal Processing that has many applications in Network Theory, Web Science and Social Media Analytics. It covers the following topics in detail: Linear 1D convolution. Cyclic 1D convolution. Graph Basics.

This lecture overviews Graph Neural Networks that has many applications in Deep Learning, Signal and Video Analysis, Network Theory, Web Science and Social Media Analytics. It covers the following topics in detail: Introduction to Graphs.

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. Computational Politics has vario

This lecture overviews Drone Swarms that has many applications in autonomous drones.

This lecture overviews Robot and Drone Swarms that has many applications in autonomous systems: cars/drones.

This lecture will provide the general context for this new and emerging topic, presenting the aims of multiple drone systems, focusing on their sensing and perception. Drone mission formalization, planning and control will be overviewed.

Computational representation of everyday emotional states is a challenging task and, arguably, one of the most fundamental for affective computing.

This lecture overviews Cryptocurrencies that has many applications in Finances, Network Theory and Web Science. It covers the following topics in detail: Introduction to Cryptography, Blockchain and Blockchain Consensus Algorithms.

Convolutional Neural Networks form the backbone of current AI revolution and are used in a multitude of classification and regression problems. This lecture overviews the transition from multilayer perceptrons to deep architectures.

Cloud Computing during the time has gained concrete evidence to be a disruptive technology still in its full development. Many drawbacks of the Cloud have brought to improve many their crucial aspects, like performance, security and privacy, etc.

This lecture overviews Pedestrian Detection  that has many applications in autonomous car vision and smart city applications.

This lecture overviews Blockchain Technology that has many applications in Cryptocurrencies, Identity Management and Biometrics. It covers the following topics in detail: Introduction to Cryptography, Blockchain and Blockchain Consensus Algorithms.