Phd in INFORMATION AND COMMUNICATION TECHNOLOGY (ICT)

email: danilo.comminiello@uniroma1.it
phone: 0644585816
building: RM032
room: 116

Danilo Comminiello received the M.Sc. degree in Telecommunication Engineering in 2008 from Sapienza University of Rome, Italy. In 2008 he undertook the Ph.D. degree in Information and Communication Engineering, accomplished in 2012, with the Department of Information Engineering, Electronics and Telecommunications (DIET) at Sapienza University of Rome, Italy.
From November 2019 he is an Associate Professor with the DIET, Sapienza University of Rome, where he teaches "Machine Learning for Signal Processing" (M.Sc. in Electronic Engineering), "Circuit Theory" (B.Sc. in Communications Engineering), and "Generative Deep Learning" (PhD Course in Information and Communication Technology). He is a member of the research group of Intelligent Signal Processing and MultiMedia (ISPAMM) with the DIET.
His research interests concern circuits and algorithms for machine learning and artificial intelligence, with focus on audio and biomedical applications.

Danilo Comminiello is a Senior Member of the "Institute of Electrical and Electronics Engineers" (IEEE), and a Member of the "Audio Engineering Society" (AES). He is an elected Member of the IEEE Machine Learning for Signal Processing Technical Committee of the IEEE Signal Processing Society, Member of the IEEE Nonlinear Circuits and Systems Technical Committee of the IEEE Circuits and Systems Society, and Member of the Task Force on Computational Audio Processing of the IEEE Computational Intelligence Society.
Danilo Comminiello is one of the editors of the book Adaptive Learning Methods for Nonlinear Modeling (D. Comminiello and J. C. Principe, eds.), Elsevier, 2018.