Trustworthy AI

Criteria, points and characteristics that AI systems should have. Lawful, ethical and robust.

Privacy and Security

Focusing on identified attacks on ML systems and elaborate defenses. Threat Model.
Categorization of attacks and defenses within an adversarial framework.

Cyber-Physical And Mobile Systems

Critical aspects and solutions; standards. Analysis from the network layer to the application layer.

Recommender Systems

A recommender system is a subclass of information filtering system that seeks to predict the “rating" or “preference" a user would give to an item.

The research activities of the Information Systems Lab (SisInf Lab) have been evolving over the years around a common nucleus: intelligent systems and intelligent data management. All the aspects related to Artificial Intelligence as well as those referring to Software Engineering and Industrial Informatics are part of the background knowledge of professors, Ph.D. students and research assistants working with SisInf Lab. This led to the presentation of new and innovative solutions in the fields of automated reasoning, big data analysis, formal verification of software systems, recommender systems and Internet of Things, just to cite a few. Putting together different souls of computer science to propose smarter and smarter software solutions, algorithms and architectures is the main mission of SisInf Lab and this is made possible thanks to a strong competence in..