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Jianjun Shi

From Wikipedia, the free encyclopedia
Jianjun Shi
Shi in 2018
Born
Shijiazhuang, Hebei, China
Alma materBeijing Institute of Technology (B.S. EE., 1984, M.S., 1987)
University of Michigan (PH.D., 1992)
Scientific career
FieldsManufacturing
InstitutionsUniversity of Michigan (1992–2007)
Georgia Institute of Technology (2008– )
Doctoral advisorShien-Ming (Sam) Wu

Jianjun "Jan" Shi (Chinese: 史建军; pinyin: Shǐ Jiànjūn) is a Chinese-born American engineer and the Carolyn J. Stewart Chair and Professor in the H. Milton Stewart School of Industrial and Systems Engineering. He also works at the George W. Woodruff School of Mechanical Engineering at the Georgia Institute of Technology. He was elected as a member into the National Academy of Engineering in 2018 for the "development of data fusion-based quality methods and their implementation in multistage manufacturing systems".[1][2]

Biography

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Shi was born in Shijiazhuang, Hebei, China.[3] He received his B.S. and M.S. in Electrical Engineering from Beijing Institute of Technology in 1984 and 1987, and his Ph.D. in Mechanical Engineering from the University of Michigan in 1992 under the supervision of Shien-Ming (Sam) Wu. Prior to joining Georgia Institute of Technology in 2008, he was the G. Lawton and Louise G. Johnson Professor of Engineering at the University of Michigan.[4]

Research and education

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Dr. Shi is a pioneer in the development and application of data fusion for quality improvements. His methodologies integrate system informatics, advanced statistics, and control theory for the design and operational improvements of manufacturing and service systems by fusing engineering systems models with data science methods. Shi has advised 38 Ph.D. graduates, 26 of whom have joined an academic industrial engineering department as a faculty member.[5] Among them, seven received National Science Foundation Career Awards and one received the National Science PECASE Award.[6]

Shi has published one book “Stream of Variation Modeling and Analysis for Multistage Manufacturing Processes”,[7] and more than 180 papers.[8] Shi has served as the Editor-in-Chief of the IISE Transactions (2017-2020), the flagship journal of the Institute of Industrial and Systems Engineers.

Awards and honors

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References

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  1. ^ a b "NAE Website: NAE member Jianjun Shi; Election citation: For development of data fusion-based quality methods and their implementation in multistage manufacturing systems," NAE, accessed September 1, 2019,[1], retrieved 2019-09.01.
  2. ^ "INFORMS News: Three INFORMS members are elected to the National Academy of Engineering for 2018," INFORMS, accessed May 1, 2019, [2], retrieved 2019-05.01.
  3. ^ "Famous Alumni of Shijiazhuang NO.1 High School," accessed September 1, 2019, [3][permanent dead link], retrieved 2019-09.01.
  4. ^ "University of Michigan Faculty History Project: Jianjun Shi," University of Michigan, accessed December 12, 2018, [4], retrieved 2018-12.12.
  5. ^ "Academic Tree of Dr. Jianjun Shi", AcademicTree, accessed May 10, 2022, [5], retrieved 2022-5.10.
  6. ^ "Jianjun Shi biography", Georgia Institute of Technology, accessed December 12, 2019, [6], retrieved 2019-12.30.
  7. ^ "Stream of Variation Modeling and Analysis for Multistage Manufacturing," by J. Shi, CRC Press, ISBN 978-0-849-32151-1, accessed April 19, 2016,[7], retrieved 2019-09.01.
  8. ^ "Jianjun Shi publications," Google Scholar, accessed May 10, 2022, [8], retrieved 2022-5.10.
  9. ^ "ISyE Professor Shi Earns ENBIS George Box Medal," GT, accessed May 10, 2022, [9], retrieved 2022-5.10.
  10. ^ "2021 SME College of Fellows," SME, accessed November 15, 2021, [10], retrieved 2021-11.15.
  11. ^ "S.M. Wu Research Implementation Award Winners," SME, accessed May 10, 2022, [11], retrieved 2022-5.10.
  12. ^ "Jan Shi Awarded ASQ Shewhart Medal," GT, accessed April 8, 2021, [12], retrieved 2021-4.8.
  13. ^ "Brumbaugh Award Winners" ASQ, accessed December 30, 2019, [13], retrieved 2019-12.30.
  14. ^ [14], retrieved 2019-12.30.
  15. ^ a b "IISE Award Winners," IISE, accessed December 30, 2019, [15], retrieved 2019-12.30.
  16. ^ [16], retrieved 2019-12.30.
  17. ^ [17], retrieved 2019-12.30.
  18. ^ "CAREER: In-process Quality Improvement Methodologies and Implementation in Manufacturing", NSF, accessed December 1, 2018, [18], retrieved 2018-12.1.