Department of Information Engineering, Electronics and Telecommunications (DIET)
Sapienza University of Rome
Via Eudossiana n°18, 00184 Rome, Italy
Building B (RM032), Floor 1, Room 116
Tel.: 0644585816 (int. 25816)
E-mail: danilo.comminiello@uniroma1.it
Office hours: by appointment
Danilo Comminiello is an Associate Professor with the Department of Information Engineering, Electronics and Telecommunications (DIET) of Sapienza University of Rome, Italy.
His research interests concern the design and analysis of modern artificial intelligence algorithms, including neural networks and machine learning methods, deep generative models, and adaptive learning systems, with application to several fields, from audio to images, from medical to sensor signals.
Danilo Comminiello is an IEEE Senior Member. He is the elected Chair of the IEEE Machine Learning for Signal Processing Technical Committee. He is also the Chair of the IEEE Task Force on Computational Audio Processing. Danilo Comminiello serves as an Area Editor for IEEE Signal Processing Magazine and Associate Editor for IEEE Transactions on Neural Networks and Learning Systems. He is one of the editors of the book Adaptive Learning Methods for Nonlinear System Modeling (D. Comminiello and J. C. Principe, eds.), Elsevier 2018.
Danilo Comminiello has served as General Co-Chair for the 33rd IEEE International Workshop on Machine Learning for Signal Processing (MLSP 2023), September 17-20, 2023, Rome, Italy, and for the INNS International Joint Conference on Neural Networks (IJCNN 2025), June 30 - July 5, 2025, Rome, Italy.
Latest News
Special Event: I am really thrilled and honored to announce that the 2025 INNS International Joint Conference on Neural Networks (IJCNN) will be held in Rome, Italy, June 30 - July 5, 2025. On behalf of the whole Organizing Committee, I would like to warmly invite you to participate in the IJCNN 2025!
Course: The course of Neural Networks for the academic year 2024/2025 will be delivered in the second semester (end of February 2025).
