My research effort concentrates in the area of Social Computing, particularly in the analysis of social media based on the following topics:

- Data mining based on Bayesian modelling and NLP techniques

- Information retrieval methods based on semantic web technologies and graph-based algorithms

- Machine learning-based approaches

- Online algorithms

I'm particularly interested on the real-time analysis and detection of antisocial behaviour in social media. My previous work includes the development of methodologies for child-grooming detection in online chatrooms and the automatic detection of violence-related content in tweets.

I studied for a Ph.D. (2008-­2012) under the supervision of Prof. Fabio Ciravegna at the University of Sheffield. My PhD thesis explored the application of semantic models and machine learning approaches for the mining of social media with a focus on entity profiling.

Currently I work on the MKSmart project at KMi, which focuses on the use of sensor data for Smart cities. Within this project I'm working on models that allows the combination of heterogeneous sensor-­based data sources and social media for the creation of a so­-called city observatory.

Keys: Social Computing, Machine Learning, Semantic Web

Team: Alessandro Adamou, Harith Alani, Emanuele Bastianelli, , Mathieu d'Aquin, Enrico Daga, Miriam Fernandez, Enrico Motta, Lara Piccolo, Hassan Saif, Keerthi Thomas