Emanuele Valpreda

PhD Student in Ingegneria Elettrica, Elettronica E Delle Comunicazioni , 36th cycle (2020-2023)
Department of Electronics and Telecommunications (DET)

Docente esterno e/o collaboratore didattico
Department of Electronics and Telecommunications (DET)



Research topic

Optimized acceleration of deep neural networks on edge devices


Research presentation


Research interests

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. He worked from 2019 to 2022 with the Chair of Integrated Systems (LIS) at the Technical University of Munich (TUM), initially as a student and then as a guest researcher. His current research interests include neural network compression, reliability and approximate computing.



Master of Science

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Bachelor of Science

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