ASME

Journal of Computing and Information Science in Engineering

Kazuhiro 
Saitou, Ph.D.
Saitou

Areas of Interest

COMPUTATIONAL DESIGN
PLANNING
SCHEDULING
TOPOLOGY OPTIMIZATION
University of Michigan, USA
Kazuhiro Saitou is Professor of Mechanical Engineering at the University of Michigan, Ann Arbor. He received BEng degree from University of Tokyo, and MS and PhD degrees from the Massachusetts Institute of Technology (MIT), all in Mechanical Engineering. His research interest includes algorithmic and computational design synthesis and design for manufacture and assembly, with applications in mechanical, industrial, and biomedical systems. He has served as an Associate Editor for ASME Journal of Computing and Information Science in Engineering (JCISE), ASME Journal of Mechanical Design (JMD), and IEEE Transactions on Automation Science and Engineering (T-ASE), and is currently serving as an Associate Editor for JCISE (2ns time) and a Senior Editor for T-ASE. He was a past Chair of the ASME Design Automation Technical Committee (DAC) and the ASME Design for Manufacturing and the Life Cycle Technical Committee (DFMLC), and the Editor-In-Chief for Conference Editorial Board of IEEE Conference on Automation Science and Engineering. He is Fellow of ASME and IEEE.

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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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