奶糖直播

Dongning Ma

Dongning Ma, a 2nd-year PhD student advised by Dr. Xun Jiao in the Department of Electrical and Computer Engineering, was recently selected as a Richard Newton Student Fellow, which will support his participation in the (DAC) to be held virtually in late July. The DAC is the largest and most important conference in the field of electronic design automation (EDA) and embedded systems.

The fellows program provides students with opportunities to network and divides them into teams that will work together in advance of the conference to design an actual deep learning system and run state-of-the-art EDA tools. The program will include a professional development component where students will learn how to write and present their research.

Already an accomplished author and presenter, Dongning, along with Dr. Jiao, will have a paper published and presented at the DAC on the use of machine learning to design better embedded computer systems. This is Dongning鈥檚 8^th publication (two journals and six conference proceedings) since beginning in 奶糖直播鈥檚 doctoral program last year. He is first author for six of them, including one which received a best paper award.

Active in Dr. Jiao鈥檚 , Dongning鈥檚 research interests include embedded systems, machine learning and software/hardware codesign. .