Chao Qian

Chao Qian, M.Sc., is a researcher and PhD student at the Department of Embedded Systems, University of Duisburg-Essen, since April 2020. He holds a bachelor's degree in Electrical Engineering from the University of Electronic Science and Technology of China (2015) and a master's degree in Embedded Systems from the University of Duisburg-Essen (2020).

His research focuses on enabling artificial intelligence (AI) in reconfigurable hardware like FPGAs for energy-efficient and high-performance embedded systems. He investigates methods to deploy pre-trained neural networks on FPGAs, targeting traditionally resource-constrained embedded systems.

Recent publications highlight his work on

• Configuration-aware FPGA power management
• Quantized transformers for time-series forecasting
• Soft sensor design for fluid flow estimation
• LSTM acceleration on embedded FPGAs

In projects like "KI-Sprung: LUTNet" and "Elastic AI", he contributes to adaptive machine learning in pervasive computing.

Contact:

• Email: chao.qian@uni-due.de
• Phone: +49 203 379 2390
• Address: Bismarckstr. 90 (BC), Room BC 104, Duisburg