Yongduan Song

Song earned a Bachelor of Science degree in electrical engineering from Sichuan University, a Master of Science in electrical engineering from Chongqing University, and a PhD in electrical and computer engineering from Tennessee Tech.^[1]

From 1993 to 2008, Song was a professor of engineering at North Carolina A&T State University and a Langley Distinguished Professor position at the National Institute of Aerospace from 2005 to 2008. He has received research awards from the National Science Foundation, NASA, United States Army Research Laboratory, and Office of Naval Research. He is the editor-in-chief of IEEE Transactions on Neural Networks and Learning Systems.^[2] Song's research focuses on neural networks, machine learning, and nonlinear systems.^[3][4]