Fanchen Kong

Computer Architecture

AI Accelerator

Network On Chip

Career overview

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.

Awards & honors

  • 2024 Best Master Thesis from ICsense