Submitted keynotes abstracts are listed below.
Deep learning for fact verification and fake news detection
“Fake news” refers to news articles that are made-up stories with an intention to deceive. This is not a new problem as it has...
Characterising user behavior on alt right networks through temporal analysis of user interactions
Gab is an online social network often associated with the alt-right political movement and users barred from other networks. In...
Optomechanical microwave oscillators
Optomechanical interaction in photonic cavities can be used to generate high-purity microwave tones, giving rise to optomechanical...
Conversational AI for the detection and prevention of cyberbullying behaviour among children
A large body of research attests to the presence and adverse effects of cyberbullying with children, including decreased health...
Detecting Ironic Content and Improper Posts in Social Media
Social media posts have a wide variety in terms of content and the language use. The automated analysis of the language use has...
Shining a light on artificial sense of touch
In this talk, I will share some exciting inventions under development by our research group, using light intensity measurements to...
Room-T nano-electro-opto-mechanical interface using silicon nanobeams
We propose to make a proof of concept of a phononic silicon platform for ICT applications. The demonstration is done on an...
Crowd Journalism for Fake News Detection: the ARTICONF Approach
Social networking sites are a popular, easy, and cheap way for broadcasting information, including textual news articles, images...
The Application of Nano-Opto-Electro-Mechanical Systems to Software Defined Radios
Radio transceivers based on software-defined radio (SDR) principles, in particular, radio receivers for wireless communication...