Recent advances in computing and information science such as artificial intelligence (AI), machine learning (ML), edge computing, cloud computing, metacomputing, and quantum computing are creating new computing paradigms. These advances are providing new opportunities for new research and application development. For instance, the adoption of Industry 4.0 enabled by AI/ML is fundamentally changing how products are designed, manufactured, maintained, and recycled. It enables consideration of all aspects of the product life cycle and realizing sustainable designs and helps us in achieving carbon neutrality. Intelligent machines such as robots and autonomous vehicles are revolutionizing human–machine interactions and increasing digitalization in the manufacturing and transportation industries. It is important for the Journal of Computing and Information Science in Engineering (JCISE) community to identify challenges and opportunities in these emerging areas and inspire new researchers to join the field and become a part of the community. This Special Issue consists of 19 position papers that span a wide variety of topics of interest to the JCISE community. These position papers identify challenges and opportunities, outline new areas of research, and point out new applications that will be enabled by advances in this field.
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Position Papers
Challenges in Geometry Assurance of Megacasting in the Automotive Industry
Kristina Wärmefjord, Josefin Hansen, Rikard Söderberg
https://doi.org/10.1115/1.4062269
Framing Supradisciplinary Research for Intellectualized Cyber-Physical Systems: An Unfinished Story
https://doi.org/10.1115/1.4062327
Making Robotic Swarms Trustful: A Blockchain-Based Perspective
Atul Thakur, Swagatika Sahoo, Arnab Mukherjee, Raju Halder
https://doi.org/10.1115/1.4062326
Towards Data and Model Interoperability for Industrial Extended Reality in Manufacturing
William Z. Bernstein, Andrew Bowman, Ryan Durscher, Andrew Gillman, Sean Donegan
https://doi.org/10.1115/1.4062328
Digital Twin-Driven Product Sustainable Design for Low Carbon Footprint
https://doi.org/10.1115/1.4062427
Exploring the Intersection of Metaverse, Digital Twins, and Artificial Intelligence in Training and Maintenance
Monica Bordegoni, Francesco Ferrise
https://doi.org/10.1115/1.4062455
Harnessing Multi-Domain Knowledge for User-Centric Product Conceptual Design
Xin Guo, Zechuan Huang, Ying Liu, Wu Zhao, Zeyuan Yu
https://doi.org/10.1115/1.4062456
Challenges and Opportunities for Machine Learning in Multiscale Computational Modeling
Phong C. H. Nguyen, Joseph B. Choi, H. S. Udaykumar, Stephen Baek
https://doi.org/10.1115/1.4062495
Carbon Neutrality: A Review
Bin He, Xin Yuan, Shusheng Qian, Bing Li
https://doi.org/10.1115/1.4062545
Research Issues in the Generative Design of Cyber-Physical-Human Systems
David W. Rosen, Christina Youngmi Choi
https://doi.org/10.1115/1.4062598
Deep Learning-Driven Design of Robot Mechanisms
Anurag Purwar, Nilanjan Chakraborty
https://doi.org/10.1115/1.4062542
Zero-Trust for the System Design Lifecycle
Douglas L. Van Bossuyt, Britta Hale, Ryan Arlitt, Nikolaos Papakonstantinou
https://doi.org/10.1115/1.4062597
Information Embedding for Secure Manufacturing: Challenges and Research Opportunities
Karim A. ElSayed, Adam Dachowicz, Mikhail J. Atallah, Jitesh H. Panchal
https://doi.org/10.1115/1.4062600
Bayesian, Multifidelity Operator Learning for Complex Engineering Systems–A Position Paper
https://doi.org/10.1115/1.4062635
Designing Evolving Cyber-Physical-Social Systems: Computational Research Opportunities
Janet K. Allen, Anand Balu Nellippallil, Zhenjun Ming, Jelena Milisavljevic-Syed, Farrokh Mistree
https://doi.org/10.1115/1.4062883
The Role of Deep Learning in Manufacturing Applications: Challenges and Opportunities
Rishi Malhan, Satyandra K. Gupta
https://doi.org/10.1115/1.4062939
Opportunities and Challenges of Quantum Computing for Engineering Optimization
Yan Wang, Jungin E. Kim, Krishnan Suresh
https://doi.org/10.1115/1.4062969
Design of Next-Generation Automotive Systems: Challenges and Research Opportunities
https://doi.org/10.1115/1.4063067
Human Digital Twin, the Development and Impact on Design
https://doi.org/10.1115/1.4063132
Metacomputing for Directly Computable Multiphysics Models
John G. Michopoulos, Athanasios P. Iliopoulos, John C. Steuben, Nicoleta A. Apetre