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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.  https://doi.org/10.1115/1.4051342

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. https://doi.org/10.1115/1.4051913

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. https://doi.org/10.1115/1.4052293

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. https://doi.org/10.1115/1.4052800

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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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