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.