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Samuel López Asunción

PhD Student

Samuel López received his M.Sc. degree in Electronics Engineering from the Universidad Politécnica de Madrid (UPM) in 2016. He has worked at Telefónica R+D and RBZ Embedded Logics, where he worked on circuit design for IoT devices and high-speed PCB design. In 2019, he returned to UPM as an FPI predoctoral fellow.

His research focuses on digital neuromorphic circuits and acceleration of neural computation on FPGAs, as well as hardware optimization for signal processing applications and RISC-V acceleration.

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Research

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Teaching

Publications

  1. Samuel Lopez Asuncion, Marisa Lopez-Vallejo, and Jesus Grajal. Algorithm-architecture optimization for linear and quadratic regression on reconfigurable platforms. In 2020 XXXV Conference on Design of Circuits and Integrated Systems (DCIS). IEEE, nov 2020. URL: https://doi.org/10.1109%2Fdcis51330.2020.9268633, doi:10.1109/dcis51330.2020.9268633.