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