ASME

Journal of Computing and Information Science in Engineering

Seung-Kyum 
Choi, Ph.D.
Seung-Kyum Choi

Areas of Interest

ARTIFICIAL INTELLIGENCE
COMPUTATIONAL FOUNDATIONS FOR ADDITIVE MANUFACTURING
COMPUTATIONAL FOUNDATIONS FOR ENGINEERING OPTIMIZATION
COMPUTER AIDED DESIGN
DEEP LEARNING
MACHINE LEARNING FOR ENGINEERING APPLICATIONS
Georgia Institute of Technology
Dr. Seung-Kyum Choi is an Associate Professor at the Georgia Institute of Technology. Dr. Choi’s research interests include structural reliability, probabilistic mechanics, statistical approaches to design of structural systems, multidisciplinary design optimization, and deep learning methods for complex engineered systems. He conducted a challenging research effort on the uncertainty quantification for the analytical certification of aerospace, automotive, and underwater vehicles. Success of this challenging effort includes the development of state-of-the-art numerical techniques in statistical methods and structural analysis methods with innovative stochastic modeling & simulation techniques. Dr. Choi’s current research focus is on the development of robust simulation and design-support tools to assist the digital transformation of complex engineered systems involving material structures design and multifunctional products. He is the principal author of a graduate-level textbook on the topics of probabilistic mechanics and reliability-based design optimization (Reliability-based Structural Design, Springer, 2007). Dr. Choi served as a chair and session organizer at national conferences of AIAA, SDM, MDO, NDA and ASME/IDETC, in addition to being a chair of the ASME Advanced Modeling & Simulation Technical Committe. Since 2008, he also served as a guest editor for Journal of Engineering Design, Electronic Materials Journal, Applied Sciences Journal, International Journal of Precision Engineering & Manufacturing, Materials Journal, and ASME Journal of Computing and Information Science in Engineering. Dr. Choi is currently appointed the Director of Center for Additive Manufacturing Systems (CAMS), where he has responsibilities for developing research and education programs in additive manufacturing.

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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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