These are the junior researchers from the Fall 2018 semester

Stefan Wachmann


mstp@itu.dk
Project:
How is it possible to mitigate the problem of hate speech on social media when the sheer amount is too large to go through manually? One approach is automated text classification. Stefan's project attempts exactly that – to detect hate speech on Danish social media through deep learning methods. The main challenges are the lack of Danish data sets, the ambiguity of text, and the subjectivity of definitions and annotations.

Michela Seresini


mser@itu.dk
Project:
Michela is a visiting researcher from the UCSC of Milan. She is currently writing her master thesis on the topic of conversational interfaces and smart speakers, their integration in the domestic environment from a sociological point of view. Through two empirical analysis, the aim is to study how they fit in the family's routine and their usability from the users perspective. The theoretical framework is composed by the domestication theory and the walkthrough method.

Vanderléia Dionízio


vadi@itu.dk
Project:
Vanderléia's Junior Researcher project is entitled The Principle of the Will in a cookie society: a technical view. We live in a cookie society. Not in a cookie dough or in a cookie crazy one. But in a society where cookies must be accepted in order for you to access Internet pages. By clicking those cookies you are signing a contract that you most likely did not read probably for lack of time or legal knowledge. This Project intends to build a tool that can do some of that job for you.

David Avellar


dava@itu.dk
Project:
Implications of big data in Telemedicine: David is researching the process of monitoring patients in a certain region, and what the results and consequences of the application of telemedicine are. There are several telemedicine projects running in Denmark, and these use different technologies as IoT, wearables and video calls to optimize patient treatment. The project tries to understand how diagnoses analyses compare to real life doctors' observations, and how data visualisation of a patient population is influencing prioritisation of emergency cases.