ASME

Journal of Computing and Information Science in Engineering

Fan 
Zhang, Ph.D.
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Areas of Interest

AUTONOMOUS SYSTEMS
DIGITAL TWIN
ICS SECURITY
MACHINE LEARNING
Georgia Institute of Technology
Dr. Fan Zhang is an Assistant Professor in George W. Woodruff School of Mechanical Engineering at Georgia Institute of Technology. She directs Intelligence for Advance Nuclear (iFAN) lab at Georgia Tech to perform cybersecurity, predictive maintenance, and autonomous control research. Prior to joining Georgia Tech, Dr. Zhang was a Research Assistant Professor at the University of Tennessee, Knoxville (UTK). Her cybersecurity expertise includes cyber-physical testbeds construction, network monitoring, cyber-attack scenarios development, and cyber-attack detection using machine learning and statistic models. She is the recipient of the 2021 Ted Quinn Early Career Award from the American Nuclear Society for her contribution in instrumentation and control (I&C), and cybersecurity. She is the recipient of the inaugural DOE office of Nuclear Energy Distinguished Early Career Award. She received UTK Alumni Volunteer 40 under 40 Award.

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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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