1999 – 2005 Degree in Computer Science, University of Salerno. Thesis on “Real time Facial Recognition with Neural Networks”. 109/110 mark. Thesis: Use of MLP Neural Networks with Back Propagation to identify physiognomy from standard databases (e.g. FERET). Networks assisted training as DCT training features obtained through images. Analysis of FRR (False rejection rate) and FAR (False acceptance rate) in relation to changes in Networks variables. Matlab simulation applications.
I had a chance to qualify as Prince2 Practitioner, I want to use this knowledge in day-by-day work and in a structured environment.