Jian Liu is an associate professor in the Department of Systems and Industrial Engineering at and an affiliated faculty member in the Graduate Interdisciplinary Degree Program at the University of Arizona. He received the BS and MS degrees in precision instruments and mechanology from the Tsinghua University, China in 1999 and 2002, respectively. He earned an MS in industrial engineering, an MS in statistics, and a PhD in mechanical engineering and industrial and operation engineering, all from the University of Michigan in 2005, 2006, and 2008, respectively.

Liu has more than 10 years of research experience in data analytics and system informatics. His research specialty is in the fusion of multi-source, multi-scale, and multi-level information in hierarchical and distributed systems for better system design, operation, and maintenance. By integrating engineering knowledge, optimization algorithms, and the statistical analysis and learning of massive high-dimensional data, Liu and his research team advance the scientific research in system performance modeling, system prognostic/diagnostic, decision-making, and risk management. These methodological advancements have been successfully applied in a variety of domains, such as manufacturing engineering systems, chemical and civil engineering systems, and geographical information systems. His collaborations with domain experts have resulted in joint research projects in quality and reliability improvement for machining/assembly processes, mono-crystalline processes, and service improvement for water systems, software systems, and food assistance provision systems. Liu and his research team have published research papers in prestigious journals and conference proceedings, such as IISE-Transactions, IEEE Transactions, ASME Transactions, and IISE annual conference proceedings. Liu’s research has been funded by the National Science Foundation, US Department of Homeland Security, and US Air Force Office of Scientific Research.

Liu is a member of INFORMS and IISE. He served as a council member in the Quality, Statistics and Reliability Section of INFORMS from 2012 to 2014, a board director of the Quality Control and Reliability Engineering (QCRE) Division of IISE from 2013 to 2015, and the president-elect of QCRE from 2015 to 2016. Liu is currently the president of the QCRE of IISE.

Degrees:

  • PhD Industrial and Operations Engineering and Mechanical Engineering - University of Michigan
  • MS Statistics - University of Michigan
  • MS Industrial and Operations Engineering - University of Michigan
  • MS Mechanical Engineering - Tsinghua University
  • BS Precision Instruments & Mechanology Tsinghua University

Teaching Interests: Engineering statistics, quality engineering, applied multivariate statistics, design of experiments, and reliability engineering

Research Interests: Data analytics, statistical quality control, system reliability modeling and analysis, manufacturing process improvement, machine learning, and image processing