The AIPA lab is active on various research topics that falls under  the umbrella of Artificial Intelligence, with particular focus on  Machine Learning, Knowledge Representation and Reasoning, and  data  Security and Privacy.  Nowadays the very large amount of digital data made available, allow  to extract knowledge that can be exploited in the solution of a  large numebr of pactical problems.  The data comes from many different sources, and are not always well  structured, and this brings to the application of methods coming  from AI to very different fileds, ranging from text analysis (both in natural and formal languages), to image analysis. The problem of  security and data privacy rises naturally for all these applications.

Keywords:

• Machine Learning: neural networks, supervised and unsupervised learning, deep learning.
• Data Science: data mining, big data, text mining, spatio-temporal data, Knowledge Representation and Reasoning
• Security and Privacy: Data security, privacy and big data.
   

Application domains:

• Natural Language Processing: statistical models, information retrieval, information extraction.
• Computer Vision: image understanding, face recognition, biometrics, medical image analysis.
• Software Engineering: software traceability, clone detection, effort estimation, source code/comment coherence classification.
• Mobility: trajectory analysis.
• E-health
• Compliance checking