Prof. Zichen Xu is our advisor. He is the associate dean of the school of mathematics and computer science and the leader of GOOD LAB. Dr. Xu’s research interests are primarily in the area of computing system design in the development of providing sustainable data services. A common thread in his research is in understanding, and rebuilding the traditional computing systems to meet the new design goals, such as sustainability, and constraints, such as resource limitation, reliability, and scalability. Broadly speaking, he is a system researcher with a focus on (the design and implementation of) sustainable, efficient, and low-cost computing systems.
Prof. Qiegen Liu is our advisor. He (Senior Member, IEEE) received the B.S. degree in applied mathematics from Gannan Normal University, Ganzhou, China, in 2005, and the M.S. degree in computation mathematics and the Ph.D. degree in biomedical engineering from Shanghai Jiao Tong University (SJTU), Shanghai, China, in 2009 and 2012, respectively.,Since 2012, he has been with the School of Information Engineering, Nanchang University, Nanchang, China, where he is currently a Professor. From 2015 to 2017, he held a post-doctoral position with the University of Illinois Urbana–Champaign (UIUC), Champaign, IL, USA, and the University of Calgary, Calgary, AB, Canada. His current research interests include sparse representations, deep learning, and their applications in image processing, computer vision, and magnetic resonance imaging (MRI) reconstruction.