Computer Architecture
AI Accelerator
Network On Chip
Fanchen Kong was born in Shanxi, China in 1997.
He received MSEE @ KU Leuven with Magna Cum Laude in 2023. His master's thesis is "Scalable Integration of Multi-Core Deep Learning Accelerators via NoC and Network-Aware Workload Distribution".
Currently, he works as a research assistant at the ESAT-MICAS under the guidance of Prof. Marian Verhelst. His research focuses on building efficient and scalable multi-core AI accelerator systems.