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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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.

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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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