ML Accelerators on FPGAs: A Journey from Manual Design to AI-Assisted Workflows

Prof. Rashed Al Amin

Rashed Al Amin received his B.Sc. degree in Electrical and Electronics Engineering from the University of Dhaka, Bangladesh, and an M.Sc. degree (With Deans Award) in mechatronics from the University of Siegen, Germany. He obtained his PhD degree in Computer Science from the University of Siegen, Germany. Currently, He is working as a Post Doctoral Researcher and Lecturer at the Chair of Embedded Systems at the University of Siegen. His research interests include hardware for artificial intelligence, reconfigurable computing, and FPGA architecture. He aims to design the next-generation FPGA architecture to optimize deep learning workloads.