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.
Research
- Neuromorphing Computing
- Signal Processing Architectures
- Hardware Acceleration
- Neural networks
Teaching
- DSED: Digital Electronic Systems Design
- SDG2: Digital Systems 2
Publications
Samuel Lopez-Asuncion, Pablo Ituero, Marisa Lopez-Vallejo, and Jesus Grajal. Data synchronization in non-uniform latency custom DSP designs. In 2022 37th Conference on Design of Circuits and Integrated Circuits (DCIS). IEEE, nov 2022. URL: https://doi.org/10.1109%2Fdcis55711.2022.9970167, doi:10.1109/dcis55711.2022.9970167.
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.
