Welcome to Asma Naseri Rad, new PhD student at SDU Microelectronics

SDU Microelectronics is pleased to welcome Asma Naseri Rad as a new PhD student. We look forward to working with her.

Research focus

Asma’s research focuses on developing faster and more energy-efficient hardware for neural network acceleration. Her work covers:

• reversible computing techniques to improve memory and energy efficiency
• energy-efficient circuit design
• practical implementation and evaluation of computational hardware for AI acceleration

Welcome to the team, Asma!