Teaching activity

2025

• Teacher for the "Data Mining & Machine Learning (Mod. B)" course for the Data Science Master Degree at the University of Naples Federico II.

• Teacher for the "Object Oriented  Programming" course for the Computer Science Degree at the University of Naples Federico II.

• Lecturer for the course "Using Deep Learning Properly" for Ph.D. students in Information Technology and Electrical Engineering (ITEE)  at the University of Naples Federico II.

2024

• Invited Professor at IMT Atlantique (Bretagne-Pays de la Loire, France)  as part of the course "Introduction to Artificial Intelligence" for Master's students in Engineering.

• Lecturer for the course "Using Deep Learning Properly" for Ph.D. students in Information Technology and Electrical Engineering (ITEE)  at the University of Naples Federico II.

• Teacher for the Programming Laboratory course for the Computer Science Degree at the University of Naples Federico II.

2023

• Visiting Teacher at IMT Atlantique (Bretagne-Pays de la Loire, France) as part of the course "Introduction to Artificial Intelligence" for Master's students in Engineering.

• Lecturer for the course "Using Deep Learning properly" at the Technical University of Chemnitz (CUT, Germany) within the project "Strengthening Practice Oriented Education Program for the Automotive Industry (STEP)," funded by DAAD (German Academic Exchange Service). The project involved collaboration with the Technical University of Chemnitz (CUT, Germany), the National School of Electronics and Telecommunications of Sfax (ENET’Com, Tunisia), Imk automotive GmbH (Imk, Germany), and PRIMATEC Engineering (Primatec, Tunisia).

• Lecturer for the course "Using Deep Learning Properly" for Ph.D. students in Information Technology and Electrical Engineering (ITEE) at the University of Naples Federico II.

• Teacher for the Programming Laboratory course for the Computer Science Degree at the University of Naples Federico II.

2022

• Invited Speaker for the seminar titled "Possible directions to deal with EEG data with machine learning" at the Machine Learning Genoa Center (MaLGa), an interdisciplinary center at the University of Genoa.

• Co-Lecturer for the course "Metrology and Machine Learning for Brain Computer Interfaces" as part of the Ph.D. program in Information and Communication Technology for Health (ICTH) at the University of Naples Federico II.

• Teacher for the Programming Laboratory course for the Computer Science Degree at the University of Naples Federico II.