ADR Awareness Centre

AI is a rapidly emerging field that has opened up new vistas of innovation and creativity. From intelligent systems to self-driving cars, AI has transformed the way we live and work.

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

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 Visual Speech Recognition that has many applications in Human-centered Computing, Image and Video Analysis and Social Media Analytics.

This lecture overviews Human Centered Computing that has many applications in Human-Computer Interfaces, Data Analytics and Social Media Analytics.

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.

This study addresses the lack of a systematic analysis of British COVID-19 discourse during the pandemic, which has sparked intense public debate globally.

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.

The focus of this survey is on research in applying evolutionary and other metaheuristic search algorithms to automatically generating content for games, both digital and nondigital (such as board games).

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

This lecture overviews Privacy Protection, Ethics and Regulations for Autonomous Systems that has many applications in Autonomous cars and drones.

This lecture overviews discrete-time Signals and Systems topics. Discrete-time signals are presented: periodic signals, delta signal, unit step signal, exponential signal, trigonometric signals, complex exponential signal.