• Validating models through big data The thesis is in the fields of data science, big data management and machine learning. The goal of the thesis is to investigate how, given a large set of experimental data and a set of existing models which should approximate them, it is possible to automatically evaluate the performance of the models. Techniques to compare a single experiment to a single model already exist. The research question is about exploiting the large amount of experimental data which are nowadays available, all together, to better assess and characterize the performance of models. This assessment could also drive further model improvements. The context is provided by the domain of combustion kinetic modelling (chemical engineering field), where models are continuously developed and must be tested and improved on real data. However, the same techniques investigated in this thesis could also be applied to many other fields. No knowledge in chemical engineering is required. Contact: and  link to reference paper
  • Quality analysis of social network information in emergency situations.  The thesis will focus on quality aspects of the information gathered from geolocated tweets, and in particular images, in particular analyzing the precision of the image geolocation. Paper to read if you are interested in this topic: link

Se siete interessati mandatemi una mail per fissare un appuntamento.


  • Sistemi informativi (in Italiano)
  • Digital Technology (in English)
  • Progetto di Ingegneria Informatica – web site

le informazioni sui corsi e il materiale sono disponibili sulla piattaforma Beep 

Altri corsi 

For Polimi IT Master students: Honours programme “Scientific Research in Information Technology” – (Comp. Sci. and Eng. topics here)

IdeaLeague Doctoral School “Engineering Complex Systems with Big data and information Technology ECS-BIT’18” (link)

For Polimi Master students: Honours programme “Engineering for Sustainable Development” at Politecnico di Milano (link)

Ricevimento studenti

per cortesia inviare un messaggio a barbara.pernici at per un appuntamento