Emanuele Valpreda

Docente esterno e/o collaboratore didattico
Dipartimento di Elettronica e Telecomunicazioni (DET)

Dottorando in Ingegneria Elettrica, Elettronica E Delle Comunicazioni , 36o cycle (2020-2023)
Dipartimento di Elettronica e Telecomunicazioni (DET)


Dottorato di ricerca

Argomento di ricerca

Energy efficient DNN acceleration for IoT devices


Interessi di ricerca

Big Data, Machine Learning, Neural Networks and Data Science
VLSI theory, design and applications


Emanuele Valpreda received the B.S. and M.S. (honors) degrees in electrical and electronics engineering from the Polytechnic University of Turin, in 2017 and 2019 respectively, where he is now pursuing the Ph.D. degree on energy efficient neural network acceleration for edge computing, under the supervision of Prof. Maurizio Martina. Since 2019, he has been working with the Chair of Integrated Systems (LIS) at the Technical University of Munich (TUM), initially as a student and now as a guest researcher. He is currently involved in the BMW research project "Optimization of neural networks for automotive applications", as an external collaborator.



Corso di laurea magistrale

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Corso di laurea di 1° livello

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