Jian Liu
- Professor, Systems and Industrial Engineering
- Professor, Statistics-GIDP
- Member of the Graduate Faculty
- Professor, Applied Mathematics - GIDP
Biography
Dr. Jian Liuis an Associate Professor in the Department of Systems & Industrial Engineering at the University of Arizona and an affiliated faculty member in the Graduate Interdisciplinary Degree Program at The University of Arizona. He received the B.S. and M.S. degrees in Precision Instruments & Mechanology from the Tsinghua University, China in 1999 and 2002, respectively; the M.S. degree in Industrial Engineering, the M.S. degree in Statistics and the Ph.D. in Mechanical Engineering and Industrial and Operation Engineering, all from the University of Michigan in 2005, 2006 and 2008, respectively.
Dr. Liu has more than ten 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, Dr. 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. Dr. 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. Dr. Liu’s research has been funded by US National Science Foundation, US Department of Homeland Security and US Air Force Office of Scientific Research.
Dr. Liu is a member of INFORMS and a member of IISE. He served as a Council Member of 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, the President-Elect of QCRE from 2015 to 2016. Dr. Liu is currently the President of the QCRE of IISE.
Degrees
- Ph.D. Industrial and Operations Engineering and Mechanical Engineering
- The University of Michigan, Ann Arbor, Michigan, United States
- M.S. Statistics
- The University of Michigan, Ann Arbor, Michigan, United States
- M.S. Industrial and Operations Engineering
- The University of Michigan, Ann Arbor, Michigan, United States
- M.S. Mechanical Engineering
- Tsinghua University, Beijing, Beijing, China
- B.S. Precision Instruments & Mechanology
- Tsinghua University, Beijing, Beijing, China
Work Experience
- Department of Systems and Industrial Engineering, The University of Arizona (2014 - Ongoing)
- Statistics Graduate Interdisciplinary Degree Programs (2010 - Ongoing)
- Department of Systems and Industrial Engineering, The University of Arizona (2008 - 2014)
Awards
- Honorable Mention for the Best Paper in the 2020 IISE Transactions Focus Issue on Quality and Reliability Engineering
- Institute of Systems and Industrial Engineering, Spring 2021 (Award Finalist)
- Honorable Mention for the Best Paper Award
- International Conference on Industrial Engineering and Engineering Management, 2020, Fall 2020
- Outstanding Associate Editor Award
- Journal of Manufacturing Systems, Transactions of Society of Manufacturing Engineering, Spring 2019
Interests
Research
Data Analytics; Statistical Quality Control; System Reliability Modeling and Analysis; Manufacturing Process Improvement; Machine Learning and Image Processing.
Teaching
Engineering Statistics; Quality Engineering; Applied Multivariate Statistics; Design of Experiment; Reliability Engineering;
Courses
2025-26 Courses
-
Fund of Data Science for Engrs
SIE 433 (Spring 2026) -
Fund. of Data Science for Engr
SIE 533 (Spring 2026) -
Intro SIE Mthd:Prob+Stat
SIE 500A (Spring 2026) -
Quality Engineering
SIE 506 (Spring 2026) -
Engineering Statistics
SIE 430 (Fall 2025) -
Engineering Statistics
SIE 530 (Fall 2025) -
Quality Engineering
SIE 406 (Fall 2025) -
Quality Engineering
SIE 506 (Fall 2025)
2024-25 Courses
-
Dissertation
SIE 920 (Spring 2025) -
Dissertation
STAT 920 (Spring 2025) -
Engineering Statistics
SIE 530 (Spring 2025) -
Fund of Data Science for Engrs
SIE 433 (Spring 2025) -
Fund. of Data Science for Engr
SIE 533 (Spring 2025) -
Dissertation
SIE 920 (Fall 2024) -
Dissertation
STAT 920 (Fall 2024) -
Engineering Statistics
SIE 530 (Fall 2024) -
Quality Engineering
SIE 406 (Fall 2024) -
Quality Engineering
SIE 506 (Fall 2024)
2023-24 Courses
-
Dissertation
SIE 920 (Spring 2024) -
Dissertation
STAT 920 (Spring 2024) -
Fund of Data Science for Engrs
SIE 433 (Spring 2024) -
Fund. of Data Science for Engr
SIE 533 (Spring 2024) -
Dissertation
SIE 920 (Fall 2023) -
Dissertation
STAT 920 (Fall 2023) -
Engineering Statistics
SIE 430 (Fall 2023) -
Engineering Statistics
SIE 530 (Fall 2023) -
Quality Engineering
SIE 406 (Fall 2023) -
Quality Engineering
SIE 506 (Fall 2023) -
Research
SIE 900 (Fall 2023)
2022-23 Courses
-
Dissertation
SIE 920 (Spring 2023) -
Dissertation
STAT 920 (Spring 2023) -
Fund of Data Science for Engrs
SIE 433 (Spring 2023) -
Fund. of Data Science for Engr
SIE 533 (Spring 2023) -
Research
SIE 900 (Spring 2023) -
Thesis
SIE 910 (Spring 2023) -
Dissertation
SIE 920 (Fall 2022) -
Dissertation
STAT 920 (Fall 2022) -
Engineering Statistics
SIE 430 (Fall 2022) -
Engineering Statistics
SIE 530 (Fall 2022) -
Intro SIE Mthd:Prob+Stat
SIE 500A (Fall 2022) -
Quality Engineering
SIE 406 (Fall 2022) -
Quality Engineering
SIE 506 (Fall 2022) -
Research
SIE 900 (Fall 2022)
2021-22 Courses
-
Internship
SIE 493 (Summer I 2022) -
Dissertation
SIE 920 (Spring 2022) -
Dissertation
STAT 920 (Spring 2022) -
Engineering Statistics
SIE 530 (Spring 2022) -
Intro SIE Mthd:Prob+Stat
SIE 500A (Spring 2022) -
Quality Engineering
SIE 406 (Spring 2022) -
Quality Engineering
SIE 506 (Spring 2022) -
Research
SIE 900 (Spring 2022) -
Dissertation
SIE 920 (Fall 2021) -
Dissertation
STAT 920 (Fall 2021) -
Engineering Statistics
SIE 430 (Fall 2021) -
Engineering Statistics
SIE 530 (Fall 2021) -
Fund of Data Science for Engrs
SIE 433 (Fall 2021) -
Fund. of Data Science for Engr
SIE 533 (Fall 2021) -
Independent Study
SIE 599 (Fall 2021) -
Intro SIE Mthd:Prob+Stat
SIE 500A (Fall 2021) -
Research
SIE 900 (Fall 2021)
2020-21 Courses
-
Internship
SIE 493 (Summer I 2021) -
Dissertation
SIE 920 (Spring 2021) -
Independent Study
SIE 599 (Spring 2021) -
Independent Study
SIE 699 (Spring 2021) -
Internship
SIE 593 (Spring 2021) -
Intro SIE Mthd:Prob+Stat
SIE 500A (Spring 2021) -
Master's Report
SIE 909 (Spring 2021) -
Quality Engineering
SIE 406 (Spring 2021) -
Quality Engineering
SIE 506 (Spring 2021) -
Research
SIE 900 (Spring 2021) -
Dissertation
SIE 920 (Fall 2020) -
Engineering Statistics
SIE 430 (Fall 2020) -
Engineering Statistics
SIE 530 (Fall 2020) -
Fund of Data Science for Engrs
SIE 433 (Fall 2020) -
Fund. of Data Science for Engr
SIE 533 (Fall 2020) -
Independent Study
SIE 699 (Fall 2020) -
Internship
SIE 493 (Fall 2020)
2019-20 Courses
-
Internship
SIE 493 (Summer I 2020) -
Dissertation
SIE 920 (Spring 2020) -
Independent Study
SIE 599 (Spring 2020) -
Internship
SIE 493 (Spring 2020) -
Intro SIE Mthd:Prob+Stat
SIE 500A (Spring 2020) -
Master's Report
SIE 909 (Spring 2020) -
Quality Engineering
SIE 406 (Spring 2020) -
Quality Engineering
SIE 506 (Spring 2020) -
Research
SIE 900 (Spring 2020) -
Dissertation
SIE 920 (Fall 2019) -
Engineering Statistics
SIE 430 (Fall 2019) -
Engineering Statistics
SIE 530 (Fall 2019) -
Fund of Data Science for Engrs
SIE 433 (Fall 2019) -
Fund. of Data Science for Engr
SIE 533 (Fall 2019) -
Independent Study
SIE 599 (Fall 2019) -
Internship
SIE 493 (Fall 2019) -
Intro SIE Mthd:Prob+Stat
SIE 500A (Fall 2019) -
Master's Report
SIE 909 (Fall 2019)
2018-19 Courses
-
Directed Research
SIE 492 (Summer I 2019) -
Independent Study
SIE 499 (Summer I 2019) -
Internship
SIE 493 (Summer I 2019) -
Adv Quality Engineering
SIE 606 (Spring 2019) -
Dissertation
SIE 920 (Spring 2019) -
Internship
SIE 493 (Spring 2019) -
Intro SIE Mthd:Prob+Stat
SIE 500A (Spring 2019) -
Master's Report
SIE 909 (Spring 2019) -
Quality Engineering
SIE 406 (Spring 2019) -
Quality Engineering
SIE 506 (Spring 2019) -
Research
SIE 900 (Spring 2019) -
Senior Dsgn Projects II
SIE 498B (Spring 2019) -
Dissertation
SIE 920 (Fall 2018) -
Engineering Statistics
SIE 430 (Fall 2018) -
Engineering Statistics
SIE 530 (Fall 2018) -
Internship
SIE 493 (Fall 2018) -
Master's Report
SIE 909 (Fall 2018) -
Research
SIE 900 (Fall 2018) -
Senior Design Projects I
SIE 498A (Fall 2018)
2017-18 Courses
-
Directed Research
SIE 492 (Summer I 2018) -
Independent Study
SIE 499 (Summer I 2018) -
Internship
SIE 493 (Summer I 2018) -
Adv Quality Engineering
SIE 606 (Spring 2018) -
Dissertation
SIE 920 (Spring 2018) -
Intro SIE Mthd:Prob+Stat
SIE 500A (Spring 2018) -
Master's Report
SIE 909 (Spring 2018) -
Quality Engineering
SIE 406 (Spring 2018) -
Quality Engineering
SIE 506 (Spring 2018) -
Research
SIE 900 (Spring 2018) -
Dissertation
SIE 920 (Fall 2017) -
Engineering Statistics
SIE 430 (Fall 2017) -
Engineering Statistics
SIE 530 (Fall 2017) -
Intro SIE Mthd:Prob+Stat
SIE 500A (Fall 2017) -
Master's Report
SIE 909 (Fall 2017)
2016-17 Courses
-
Adv Quality Engineering
SIE 606 (Spring 2017) -
Dissertation
SIE 920 (Spring 2017) -
Quality Engineering
SIE 406 (Spring 2017) -
Quality Engineering
SIE 506 (Spring 2017) -
Research
SIE 900 (Spring 2017) -
Dissertation
SIE 920 (Fall 2016) -
Engineering Statistics
SIE 430 (Fall 2016) -
Engineering Statistics
SIE 530 (Fall 2016) -
Intro SIE Mthd:Prob+Stat
SIE 500A (Fall 2016) -
Research
SIE 900 (Fall 2016)
2015-16 Courses
-
Research
SIE 900 (Spring 2016)
Scholarly Contributions
No activities entered.
