[IISE Faculty List] Call for Papers: ASME JCISE Special Issue on Geometric Data Process and Analytics for Advanced Manufacturing

[Wang, Yinan]

ASME Journal of Computing and Information Science in Engineering
Special Issue on Geometric Data Processing and Analysis for Advanced Manufacturing
Call for Papers
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.
This special issue will solicit articles that conduct research on addressing the challenges of geometric data analytics for advanced manufacturing. We seek papers that develop new geometric data mining tools for design optimization, product customization, quality control, process monitoring, simulation, robot- and/or human-in-the-loop manufacturing, additive manufacturing, and other related research areas. This special issue is expected to have a significant impact by enhancing multiple facets of manufacturing research.

Topic Areas

•       In-situ and ex-situ geometric data analytics for process monitoring and quality control of 3D printing, bioprinting, and additive manufacturing

•       Design optimization and shape reconstruction

•       Industrial Internet of Things (IIoT) sensor network modeling and optimization

•       Advanced sensing technology for geometric data acquisition, such as new 3D scanning instrumentation, Lidar, and stereo vision technology

•       Geospatial information analysis for manufacturing systems and supply chain networks

•       Robots/Cobots path planning and control, and machine toolpath planning

•       Statistical methods and machine learning approaches for point cloud denoising, completion, segmentation, clustering, and classification

•       Mesh and networked data modeling and analysis for manufacturing applications

•       XR (e.g., virtual reality and augmented reality) technologies for immersive visualization, interactive analytics, and digital twins of advanced manufacturing

•       Extending large language models (LLM) for industrial geometric data analysis

Publication Dates
Paper submission deadline                    December 31, 2024
Initial Review                                          March 1, 2025
Special issue publication                        September, 2025

Guest Editors:
Dr. Bianca Maria Colosimo, Politecnico di Milano, Italy, biancamaria.colosimo at polimi.it<mailto:biancamaria.colosimo at polimi.it>
Dr. Jonathan Corney, University of Edinburgh, UK, j.r.corney at ed.ac.uk<mailto:j.r.corney at ed.ac.uk>
Dr. Chen Kan, The University of Texas at Arlington, USA, chen.kan at uta.edu<mailto:chen.kan at uta.edu>
Dr. Gregory W. Vogl, National Institute of Standards and Technology (NIST), USA, gregory.vogl at nist.gov<mailto:gregory.vogl at nist.gov>
Dr. Yinan Wang, Rensselaer Polytechnic Institute, USA, wangy88 at rpi.edu<mailto:wangy88 at rpi.edu>


===========================================================
Yinan Wang, Ph.D.; Assistant Professor
Department of Industrial and Systems Engineering
Rensselaer Polytechnic Institute, 5213 Center of Industrial Innovations (CII)
Web: yinanw-rpi.com; Phone: 518-276-6837
Email: wangy88 at rpi.edu; Backup Email: yinanw.rpi at gmail.com

Board Director, Data Analytics and Information Systems
Institute of Industrial and Systems Engineers

Program Chair, Automatic Controls and Robotics Division
International Society of Automation

-------------- next part --------------
An HTML attachment was scrubbed...
URL: <https://mailman.clemson.edu/pipermail/iefac.list/attachments/20241008/16b4a3a8/attachment.htm>