Journal of Computing and Information Science in Engineering

IDETC-CIE 2022 JCISE Journal Spotlights

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During IDETC-CIE 2022 in St. Louis, Missouri, the following JCISE Journal Spotlights will be presented on August 16, 2022, 2:10-3:50 pm (Central US Time).

Satyandra K. Gupta: talk on “Emergence of Human-Centered AI, Machine Learning, and Automation”

Seyedeh Elaheh Ghiasien: Elaheh Ghiasian, S., and Lewis, K. (July 13, 2021). “A Recommender System for the Additive Manufacturing of Component Inventories Using Machine Learning.” ASME. J. Comput. Inf. Sci. Eng. February 2022; 22(1): 011006.

Anurag Purwar: Sharma, S., and Purwar, A. (October 13, 2021). “A Machine Learning Approach to Solve the Alt–Burmester Problem for Synthesis of Defect-Free Spatial Mechanisms.” ASME. J. Comput. Inf. Sci. Eng. April 2022; 22(2): 021003.

Jianxi Luo: Siddharth, L., Blessing, L. T. M., Wood, K. L., and Luo, J. (October 18, 2021). “Engineering Knowledge Graph From Patent Database.” ASME. J. Comput. Inf. Sci. Eng. April 2022; 22(2): 021008.

Yan Jin: Ji, H., and Jin, Y. (December 9, 2021). “Knowledge Acquisition of Self-Organizing Systems With Deep Multiagent Reinforcement Learning.” ASME. J. Comput. Inf. Sci. Eng. April 2022; 22(2): 021010.


Visit the ASME Digital Collection archives for JCISE

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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.