ASME

Journal of Computing and Information Science in Engineering

Hui 
Yang, Ph.D.
Hui Yang

Areas of Interest

COMPUTER SIMULATION
DATA ANALYTICS AND ARTIFICIAL INTELLIGENCE
MANUFACTURING INFORMATICS
OPERATIONS ENGINEERING AND APPLIED STATISTICS
OPTIMIZATION
SIGNAL PROCESSING
SMART MANUFACTURING AND INDUSTRY 4.0
SYSTEM DYNAMICS
Penn State
Dr. Hui Yang is a Professor of Industrial and Manufacturing Engineering, Biomedical Engineering at Penn State, and is affiliated with Penn State Cancer Institute (PSCI), Clinical and Translational Science Institute (CTSI), Institute for Computational and Data Sciences (ICDS), CIMP-3D. Currently, he serves as the director of NSF Center for Health Organization Transformation (CHOT). Prior to joining Penn State in 2015, he was an Assistant Professor in the Department of Industrial and Management Systems Engineering at the University of South Florida from 2009 to 2015. He is a recipient of 2015 Outstanding Faculty Award at the University of South Florida. Dr. Yang’s research interests focus on sensor-based modeling and analysis of complex manufacturing systems for process monitoring, process control, system diagnostics, condition prognostics, quality improvement, and performance optimization. His research program is supported by National Science Foundation (including the prestigious NSF CAREER award), National Institute of Standards and Technology (NIST), MxD, CESMII, Lockheed Martin, NSF center for e-Design, National Institute of Health, Susan Koman Cancer Foundation, NSF Center for Healthcare Organization Transformation, Institute of Cyberscience, James A. Harley Veterans Hospital, and Florida James and Esther King Biomedical research program. His research group received a number of best paper awards and best poster awards from IISE Annual Conference, IEEE EMBC, IEEE CASE, and INFORMS. Dr. Yang was the president (2017-2018) of IISE Data Analytics and Information Systems Society, the president (2015-2016) of INFORMS Quality, Statistics and Reliability (QSR) society, and the program chair of IISE Annual Conference 2016. He is also a department editor for IISE Transactions on Healthcare Systems Engineering, an associate editor for IISE Transactions, IEEE Journal of Biomedical and Health Informatics (JBHI), IEEE Transactions on Automation Science and Engineering,IEEE Robotics and Automation Letters (RA-L), Quality Technology & Quantitative Management, and an Associate Editor for the Proceedings of IEEE CASE, IEEE EMBC, and IEEE BHI. He serves as a referee for a diverse set of top tier research journals such as Physical Review, IEEE Transactions on Biomedical Engineering, IEEE Journal of Biomedical and Health Informatics, Biophysical Journal, IIE Transactions, Technometrics, and IEEE Transactions on Automation Science and Engineering. He is a professional member of IEEE, ASME, SME, IEEE EMBS, INFORMS, IIE, ASEE and American Heart Association (AHA).

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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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