ASME

Journal of Computing and Information Science in Engineering

Jun 
Wang, Ph.D.
Jun Wang

Areas of Interest

3D SCANNING
ADVANCED MANUFACTURING
COMPUTER-AIDED DESIGN
GEOMETRY PROCESSING
ROBOTICS
Nanjing University of Aeronautics and Astronautics, China
Dr. Jun Wang received the bachelor’s and PhD degrees in Computer-Aided Design and Manufacturing from Nanjing University of Aeronautics and Astronautics, in 2002 and 2007, respectively. From 2008 to 2010, he conducted research as a postdoctoral scholar with the University of California and the University of Wisconsin. From 2010 to 2013, he worked as a senior research engineer with Leica Geosystems Inc., USA. He is currently a professor with Nanjing University of Aeronautics and Astronautics, China. His research interests include three-dimension measurement, robotics and AI-based manufacturing. He has completed more than 10 research programs supported by government, and over 20 research projects from the industries. He is the co-author of over 120 academic journal papers and books, and also has obtained over 40 China and US patents. For more information, please also see: www.3dgp.net

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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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