Matteo OLIVATO

DEEP LEARNING MODELS FOR ROBOTICS, CYBERSECURITY AND INNOVATIVE AI APPLICATIONS

I’m working on Deep Learning models design for robotic and cybersecurity problems. The Deep Learning approach allows me to try to address more difficult cybersecurity tasks using only data, like: Anomaly Detection subdivided into Attacks and Faults Detection, Behavior Simulation and Behaviour Classification (es. Malware Type Classification etc.).
A related research activity concerns the study and test of new Deep Learning methods as new Layer or Optimizers for better and faster models fitting on data without overfitting on them.

 
 
Presentation of the first-year research activities (November 25, 2019)


 
Presentation of the second-year research activities (November 25, 2020)

 
 

 

Curriculum: Computer Science/Engineering and Control Systems
Tutor: Alfonso GEREVINI

email: m.olivato@unibs.it

 

Link to the research group web page

Link to publication list

 

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