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.

He is the principal investigator of the L3DAS Project (Learning 3D Audio Sources).

Danilo Comminiello is an IEEE Senior Member and an elected member of the IEEE Machine Learning for Signal Processing Technical Committee. He serves as an Associate Editor for IEEE Transactions on Neural Networks and Learning Systems and 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.