Brian Pachideh studied Electrical and Information Engineering at the Karlsruhe Institute of Technology (KIT), specializing in System-on-Chip design. He joined the FZI Research Center for Information Technology in September 2021 as a staff researcher. His research focuses on digital neuromorphic hardware architectures for near-sensor data processing with Spiking Neural Networks (SNNs). He is the lead hardware developer of YANA – an open-source, FPGA-based framework for event-driven SNN acceleration. YANA closes the simulation-to-hardware gap by making neuromorphic computing accessible on affordable platforms such as the AMD Kria KR260 and KV260. It is accompanied by an end-to-end software framework covering hardware-aware SNN training, deployment, and on-device runtime control.