Journal of Computing and Information Science in Engineering

Tian, Ph.D.
Wenmeng Tian

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Mississippi State University
Dr. Wenmeng Tian received her Ph.D. degree in Industrial and Systems Engineering from Virginia Tech in 2017. Her research focuses on advanced sensing and analytics for advanced manufacturing process modeling, monitoring, and prognosis. Her research has been applied to both subtractive and additive manufacturing processes. Her publications have appeared in journals such as IISE Transactions, Journal of Manufacturing Science and Engineering, and Additive Manufacturing. Her work has been funded by NSF, DoD, DoE, DoL, and industrial institutes. She received the NSF CAREER Award in 2021.

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Special Issue on Geometric Data Processing and Analysis for Advanced Manufacturing

Geometric information, such as three-dimensional (3D) shapes and network topologies, has been increasingly explored in manufacturing research. For example, characterizing geometric information in 3D-printed parts, in-situ or ex-situ, opens opportunities for defect detection, quality improvement, and product customization. However, geometric data mining remains critically challenging. Geometric information is embedded in complex data structures, such as 3D point clouds, graphs, meshes, voxels, high-dimensional images, and tensors, which possess challenges for analysis due to their high-dimensionality, high-volume, unstructured, multimodality characteristics. Additional challenges stem from compromised data quality (e.g., noisy and incomplete data), the need for registration, etc.


2023 Reviewer’s Recognition

The Editor and Editorial Board of the Journal of Computing and Information Science in Engineering would like to thank all of the reviewers for volunteering their expertise and time reviewing manuscripts in 2023. Serving as reviewers for the journal is a critical service necessary to maintain the quality of our publication and to provide the authors with a valuable peer review of their work.


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