Journal of Computing and Information Science in Engineering

Chu, Ph.D.

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National Tsing Hua University, Taiwan
Dr. Chih-Hsing Chu is a Professor in the Department of Industrial Engineering and Engineering Management at National Tsing Hua University (NTHU), Taiwan. He is the founding director of the Alliance of Highly Interactive Augmented Reality Technologies sponsored by the Ministry of Science and Technology (MOST) Taiwan. His research interests are computer-aided design and manufacturing, augmented and virtual reality, and human-computer interactions. He has published more than 200 technical articles in journals, conference proceedings, and edited books. He serves on the editorial board of International Journal of Computer Integrated Manufacturing, International Journal of Precision Engineering and Manufacturing: Green Technologies, Journal of Integrated Design and Process Science, and Frontiers in Mechanical Engineering. In the past, he served as the Editor-in-Chief of Journal of Industrial and Production Engineering, a flagship journal sponsored by the Chinese Institute of Industrial Engineers (CIIE), and an Associate Editor of IEEE Transactions on Automation Science and Engineering. He has received numerous scholarly honors and examples include Dr. Ta-You Wu Memorial Research Award of the MOST Taiwan in 2007 (equivalent to the CAREER Award of NSF), Outstanding Research Award of the MOST Taiwan in 2018, Outstanding Scholarly Contribution Award of the Chinese Institute of Industrial Engineers in 2018, Excellent Industrial Collaboration Award of National Tsing Hua University in 2021, Most Cited Article Award (2015, 2016) of International Journal of Precision Engineering and Manufacturing, Best Paper Award of IEEE International Conference on Industrial Engineering and Engineering Management in 2014, and Highly Recommended Paper Award of International Conference on Manufacturing Automation in 2007. Dr. Chu attended National Taiwan University (NTU) and received his B.S. and M.S. from the Department of Mechanical Engineering. He received his Ph.D. from the Department of Mechanical Engineering at University of California at Berkeley, USA.

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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.


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