Shenghan Guo is an Assistant Professor in The School of Manufacturing Systems and Networks at Arizona State University. Her research interests include statistical process monitoring, data mining, interpretable machine learning, and their applications in smart manufacturing. She is expertised with real data from manufacturing applications that possess complex properties, e.g., in-situ thermal video, multi-sensory data streams. Her recent research projects focus on the development of data-driven solutions to quality improvement in laser-based additive manufacturing and resistance spot welding.
Ph.D. in Industrial and Systems Engineering, Rutgers, The State University of New Jersey, New Brunswich, NJ, U.S. (2021)
M.S. in Engineering Sciences and Applied Mathematics, Northwestern Unviersity, Evanston, IL, U.S. (2016)
M.S. in Financial Mathematics, The Johns Hopkins University, Baltimore, MD, U.S. (2014)
B.S. in Financial Engineering, Jilin University, Changchun, China (2013)
Journal:
Book Chapter:
• Runner-up, Best Paper Competition - Applied Track, 16th INFORMS Hybrid Workshop on Data Mining and Decision Analytics, Oct. 23, 2021, virtual/in-person, Anaheim, CA.
• NSF Student Support Award, 49th NAMRI/SME North American Manufacturing Research Conference (NAMRC 49) and the 2021 ASME International Manufacturing Science and Engineering Conference (MSEC 2021), June 21-25, virtual conference.
• 2nd prize, Data Analytics and Information Sciences (DAIS) 1st Student Data Analytics Competition, the 2020 Institute of Industrial & Systems Engineers (IISE 2020), Nov. 1-3, virtual conference.
• Winner, Quality Control and Reliability Engineering (QCRE) Data Challenge, the 2019 Institute of Industrial & Systems Engineers (IISE 2019), May 18-21, Orlando, FL
• Finalist, Best Paper Competition, Quality, Statistics, and Reliability (QSR) Paper Competition, the 2018 Institute for Operations Research and the Management Sciences (INFORMS 2018), Nov. 4-7, Phoenix, AZ
Spring 2022 | |
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Course Number | Course Title |
EGR 219 | Computational Modeling Eng Sys |