Journal of Computing and Information Science in Engineering

Satyandra K.  
Gupta, Ph.D.
SK_Gupta 2019

Areas of Interest

University of Southern California
Dr. Satyandra K. Gupta holds Smith International Professorship in the Aerospace and Mechanical Engineering Department and the Department of Computer Science in the Viterbi School of Engineering at the University of Southern California. He is the founding director of the Center for Advanced Manufacturing at the University of Southern California. His research interests are physics-informed artificial intelligence, computational foundations for decision making, and human-centered automation. He works on applications related to Computer-Aided Design, Manufacturing Automation, and Robotics.

He has published more than four hundred technical articles in journals, refereed conference proceedings, and edited books. He is a fellow of the American Society of Mechanical Engineers (ASME), Institute of Electrical and Electronics Engineers (IEEE), Society of Manufacturing Engineers (SME), and Solid Modeling Association (SMA).

 He serves as the Editor-in-Chief of the ASME Journal of Computing and Information Science in Engineering and the Editor-in-Chief for the Advanced Manufacturing Book Series by World Scientific Publishing Company. In the past, he has served as an Associate Editor for ASME Journal of Computing and Information Science in Engineering, ASME Journal of Mechanisms and Robotics, IEEE Transactions on Automation Science and Engineering, and SME Journal of Manufacturing Processes.

He has received numerous honors and awards for his scholarly contributions. Representative examples include a Young Investigator Award from the Office of Naval Research in 2000, CAREER Award from the National Science Foundation in 2001, Presidential Early Career Award for Scientists and Engineers in 2001, Invention of the Year Award from the University of Maryland in 2007, Kos Ishii-Toshiba Award from ASME in 2011, Excellence in Research Award from ASME Computers and Information in Engineering Division in 2013, Distinguished Alumnus Award from Indian Institute of Technology, Roorkee in 2014, and Design Automation Award from ASME in 2021. He was named “the 20 most influential professors in smart manufacturing” by Smart Manufacturing Magazine in June 2020. He was given Use-Inspired Research Award by the Viterbi School of Engineering in 2021 for creating solutions that are addressing the US aerospace and defense industry’s needs in the advanced manufacturing area. He has also received ten best paper awards at international conferences.

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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.


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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