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 an elected member and Vice-Chair of the IEEE Machine Learning for Signal Processing Technical Committee. He is 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 is the General Co-Chair of the 33rd IEEE International Workshop on Machine Learning for Signal Processing (MLSP 2023), September 17-20, 2023, Rome, Italy, and of the INNS International Joint Conference on Neural Networks (IJCNN 2025), June 30 - July 5, 2025, Rome, Italy.