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Journal of Computing and Information Science in Engineering

2021 IDETC-CIE JCISE Journal Spotlight Sessions

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On August 17, 2021, during 2021 IDETC-CIE, JCISE presented four journal spotlight sessions.

Charlie C.L. Wang (University of Manchester, UK): Memory-Efficient Modeling and Slicing of Large-Scale Structure, Charlie C.L. Wang, The University of Manchester, August 17, 2021, Journal Spotlight Presentation at 2021 IDETC-CIE based on paper published by the ASME Journal of Computing and Information Science in Engineering: Liu, S., Liu, T., Zou, Q., Wang, W., Doubrovski, E. L., and Wang, C. C. L. (May 13, 2021). “Memory-Efficient Modeling and Slicing of Large-Scale Adaptive Lattice Structures.” ASME. J. Comput. Inf. Sci. Eng. December 2021; 21(6): 061003. https://doi.org/10.1115/1.4050290.

Woo-Kyun Jung (Seoul National University, Korea): Workload Optimization of Garment Production using Simulation-based Hybrid Optimization, Woo-Kyun Jung, Seoul National University, August 17, 2021, Journal Spotlight Presentation at 2021 IDETC-CIE based on paper published by the ASME Journal of Computing and Information Science in Engineering: Jung, W., Park, Y., Lee, J., and Suh, E. S. (March 12, 2021). “Simulation-Based Hybrid Optimization Method for the Digital Twin of Garment Production Lines.” ASME. J. Comput. Inf. Sci. Eng. June 2021; 21(3): 031007. https://doi.org/10.1115/1.4050245

Xiaoping Du (Indiana University Purdue University Indianapolis): Physics-Based Gaussian Process Method for Predicting Average Product Lifetime in Design Stage, Xiaoping Du (Purdue University), August 17, 2021, Journal Spotlight Presentation at 2021 IDETC-CIE based on paper published by the ASME Journal of Computing and Information Science in Engineering: Wei, X., Han, D., and Du, X. (February 11, 2021). “Physics-Based Gaussian Process Method for Predicting Average Product Lifetime in Design Stage.” ASME. J. Comput. Inf. Sci. Eng. August 2021; 21(4): 041006. https://doi.org/10.1115/1.4049509

Anurag Purwar (Stony Brook University): An Image-based Approach to Variational Path Synthesis of Linkages, Anurag Purwar, Stony Brook University, August 17, 2021, Journal Spotlight Presentation at 2021 IDETC-CIE based on paper published by the ASME Journal of Computing and Information Science in Engineering: Deshpande, S., and Purwar, A. (October 13, 2020). “An Image-Based Approach to Variational Path Synthesis of Linkages.” ASME. J. Comput. Inf. Sci. Eng. April 2021; 21(2): 021005. https://doi.org/10.1115/1.4048422

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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.

Announcements

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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