Mingyang Li graduated from our Ph.D.
program in the department of Systems and Industrial Engineering in May
2015. In August 2015, he started his academic career and joined the
department of Industrial and Management Systems Engineering at the
University of South Florida as an assistant professor.
Under supervision of Dr. Jian Liu, Mingyang published several
peer-reviewed articles in different areas, such as IIE Transaction,
Reliability Engineering and System Safety, IEEE Transaction, etc. He was
also the recipient of many honors and awards, such as QSR best paper
award finalist, NSF travel grant award, water sustainability program
Fellowship, outstanding graduate student and TA, etc.
Mingyang Li’s research interests are system informatics and data
analytics with their applications in reliability, quality, energy,
homeland security, manufacturing, etc. Specifically, he develops and
applies sophisticated statistical methodologies and tools, integrated
with domain knowledge, to tackle complex problems (e.g., modeling,
prediction, design, monitoring, diagnostics, prognostics, planning,
scheduling, control, etc.) in a data-rich environment and meet with
challenges in a big data era. His Ph.D. dissertation research, funded by
NSF, is centered on developing a generic, coherent, flexible and
scalable data fusion framework to improve performance of various system
reliability assurance tasks.
Mingyang came to the University of Arizona after completing his Master
of Science in Mechanical and Industrial Engineering from the University
of Iowa and his Bachelor of Science in Control Science and Engineering
from Huazhong University of Science and Technology in China.
Originally posted 9/30/2015