ASME

Journal of Computing and Information Science in Engineering

Yong 
Chen, Ph.D.
YONG_CHEN

Areas of Interest

ADDITIVE MANUFACTURING
COMPUTER-AIDED MANUFACTURING
MANUFACTURING AUTOMATION
University of Southern California, USA
Dr. Yong Chen is a professor of Industrial and Systems Engineering and Aerospace and Mechanical Engineering at the University of Southern California (USC). Dr. Chen’s research focuses on additive manufacturing (3D printing) in micro- and meso- scales. He received multiple Best/Outstanding Paper Awards in major design and manufacturing journals and conferences. Other major awards he received include the National Science Foundation Faculty Early Career Development (CAREER) Award, the Outstanding Young Manufacturing Engineer Award from the Society of Manufacturing Engineers (SME), and the invitations to the National Academy of Engineering (NAE) Frontiers of Engineering Symposiums. Dr. Chen is a Fellow of the American Society of Mechanical Engineers (ASME). He has served as conference/program chairs as well as keynote speakers in several international conferences.

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Announcements

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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