Samuel López received his M.Sc degree in Electronics Engineering from the Universidad Politécnica de Madrid (UPM) in 2016. He worked at Telefónica R+D and RBZ Embedded Logics doing circuit design for IoT devices and high-speed PCB design. In 2019 he moved back to UPM where he holds a FPI predoctoral fellowship.
His research focuses on digital neuromorphic circuits and acceleration of neural computations on reconfigurable platforms, as well as hardware optimization for signal processing applications.
Research
- Neuromorphing Computing
- Signal Processing Architectures
- Hardware Acceleration
- Neural networks
Teaching
- DSED: Digital Electronic Systems Design
- SDG2: Digital Systems 2
Publications
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.
