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

July 17 Spotlight: “Information Embedding in Additively Manufactured Parts Through Printing Speed Control” 

A recording is now available for the July 17, 2024 JCISE Spotlight talk by Professor Jitesh Panchal on paper co-authored with Karim A. ElSayed entitled “Information Embedding in Additively Manufactured Parts Through Printing Speed Control” J. Comput. Inf. Sci. Eng. J. Comput. Inf. Sci. Eng. Jul 2024, 24(7): 071005 (10 pages) Paper No: JCISE-23-1496 https://doi.org/10.1115/1.4065089.

Announcements

June 18, 2024 Spotlight: “Updating Nonlinear Stochastic Dynamics of an Uncertain Nozzle Model Using Probabilistic Learning With Partial Observability and Incomplete Dataset”

A recording is now available on Youtube for the June 18, 2024 Spotlight talk by Professor Christian Soize (Université Gustave Eiffel) on his paper “Updating Nonlinear Stochastic Dynamics of an Uncertain Nozzle Model Using Probabilistic Learning With Partial Observability and Incomplete Dataset,”

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