ASME

Journal of Computing and Information Science in Engineering

Wenmeng 
Tian, Ph.D.
(photo by Russ Houston / © Mississippi State University)

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INTELLIGENT MANUFACTURING
Mississippi State University
Dr. Wenmeng Tian is an associate professor in Industrial and Systems Engineering at Mississippi State University. She received her Ph.D. degree in Industrial and Systems Engineering from Virginia Tech. Dr. Tian’s research focuses on sensing and analytics for advanced manufacturing process modeling, monitoring, and prognosis. Her research has been applied to various advanced manufacturing processes, including additive manufacturing. Her publications have appeared in prestigious journals such as IISE Transactions, ASME Journal of Manufacturing Science and Engineering, and Additive Manufacturing. Her work has been funded by NSF, DoD, DoE, DoL, and industrial institutes. Dr. Tian received the NSF CAREER Award, the Outstanding Young Investigator Award in Manufacturing and Design from Institute of Industrial and Systems Engineering (IISE), and the Outstanding Young Manufacturing Engineer Award from the Society of Manufacturing Engineers (SME). She served on the Board of Directors for IISE Manufacturing and Design (M&D) Division (2021-2023).

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Announcements

July 17 Spotlight: “Information Embedding in Additively Manufactured Parts Through Printing Speed Control” 

A recording is now available for the July 17, 2024 JCISE Spotlight talk by Professor Jitesh Panchal on paper co-authored with Karim A. ElSayed entitled “Information Embedding in Additively Manufactured Parts Through Printing Speed Control” J. Comput. Inf. Sci. Eng. J. Comput. Inf. Sci. Eng. Jul 2024, 24(7): 071005 (10 pages) Paper No: JCISE-23-1496 https://doi.org/10.1115/1.4065089.

Announcements

June 18, 2024 Spotlight: “Updating Nonlinear Stochastic Dynamics of an Uncertain Nozzle Model Using Probabilistic Learning With Partial Observability and Incomplete Dataset”

A recording is now available on Youtube for the June 18, 2024 Spotlight talk by Professor Christian Soize (Université Gustave Eiffel) on his paper “Updating Nonlinear Stochastic Dynamics of an Uncertain Nozzle Model Using Probabilistic Learning With Partial Observability and Incomplete Dataset,”

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