ANTONELLO RIZZI

For "Pattern recognition" course, a virtual class has been opened on Google Classroom:
Pattern Recognition - Prof. A. Rizzi - A.A. 2024/2025
Electronics Engineering Master Degree – LM29
Course code: jxg34cc
 

Pattern Recognition lectures will start on Wedensday February 26th 2025, with the following weekly schedule:
Tuesday: 12:00 - 14:00, Room 20
Wednesday: 16:00 - 19:00, Room 23
 
Main Building A - RM031
Via Eudossiana, 18
 
Students are invited to enroll in Google Classroom, using their institutional e-mail address (name.surname@studenti.uniroma1.it)

All other information concerning the course will be provided through Google Classroom.

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Tutti gli studenti che seguiranno l'insegnamento "Elettrotecnica" (canale M-Z, Laurea in Ingegneria Gestionale) nell'A.A. 2024/2025 (secondo semestre) sono pregati di iscriversi in Google Classroom utilizzando la casella di posta elettronica istituzionale ("....@studenti.uniroma1.it"). Il codice per l'iscrizione al corso è mfxvyjs.

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For "Computational Intelligence" course, a virtual class has been opened on Google Classroom:

Computational Intelligence
Prof. A. Rizzi - A.A. 2024/2025
Course code: lo4exp3

Computational Intelligence lectures will start on Monday, September 23th 2024, with the following weekly schedule:
Monday: 16:30 - 18:00, Room 5
Tuesday: 16:00 - 19:00, Room 2

Room site: Main Building A - RM031 - Via Eudossiana, 18

Students are invited to enroll, using their institutional e-mail address (@studenti.uniroma1.it)

All other information concerning the course will be provided through Google Classroom.

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For "Complex Systems Modelling by Granular Computing" PhD course, a virtual class has been opened on Google Classroom:

Complex Systems Modelling by Granular Computing - Prof. A. Rizzi - A.A. 2023/2024

Course code: ofzaxwb

Lectures will start in September 2024, with the following schedule:

Monday 2 September 4.00pm - 7.00pm - Room: DIET/09
Tuesday 3 September 4.00pm - 7.00pm - Room: DIET/09
Wednesday 4 September 4.00pm - 7.00pm - Room: DIET/09
Thursday 5 September 4.00pm - 7.00pm - Room: DIET/09

Building B - RM032

Via Eudossiana, 18

Students are invited to enroll in Google Classroom, using their institutional e-mail address (name.surname@studenti.uniroma1.it)

All other information concerning the course will be provided through Google Classroom.

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Antonello Rizzi received his Ph.D. in Information and Communication Engineering from the University of Rome “La Sapienza.” He was appointed Assistant Professor in September 2000 and, since 2010, has been with the Department of Information Engineering, Electronics and Telecommunications (DIET) at Sapienza University of Rome. He is currently serving as an Associate Professor within the same department.

His primary research interests lie in the fields of computational intelligence and pattern recognition, with a focus on both supervised and unsupervised machine learning techniques, including neural networks, fuzzy systems, and evolutionary algorithms. His work is centered on the development of automatic modeling systems for classification, clustering, function approximation, and prediction tasks.

He is actively involved in research on smart grids and microgrid modeling and control, battery management systems, granular computing, data mining and knowledge discovery, computational biology, machine learning in non-metric spaces, graph and sequence matching, agent-based modeling of complex systems, and parallel and distributed computing.

Dr. Rizzi has (co-)authored over 230 peer-reviewed journal articles, conference papers, and book chapters. He has been a Senior Member of the IEEE since 2017.