Kazu Saitou

Kazu Saitou
Professor, Mechanical Engineering


GGB (George G. Brown Laboratory)

2350 Hayward 
Ann Arbor, MI 48109-2125

(734) 763-0036


Ph.D., Mechanical Engineering, Massachusetts Institute of Technology, 1996
M.S., Mechanical Engineering, Massachusetts Institute of Technology, 1992
B.Eng., SysInfo & Control, University of Tokyo, 1990

Research Interests

Computer modeling and optimal synthesis of mechanical (and non-mechanical) products and systems. Computational design for manufacture/assembly/environment. Simultaneous design of products/manufacturing systems/supply chains. Computer modeling and synthesis of MEMS/NEMS. Chemo/bio-informatics. Structure-based virtual screening for drug discovery and design.

Honors and Awards

Finalist for the Best Paper Award (first author: Emre Kazancioglu), Conference on Automation Science and Engineering, October 7-10, 2006
Marquis Who's Who in the World, 2006
Marquis Who's Who in Science and Engineering, 2006-2008
IESET Interdisciplinary Environmental Program Award (for a research proposal with Profs. Skerlos, Kikuchi and Papalambros), College of Engineering, University of Michigan, 2001
CAREER Award (Division of Design, Manufacture, and Industrial Innovation), National Science Foundation, 1999

Faculty Type

Tenured and Tenure-Track

Related News

The award is given to recognize the sustained meritorious contributions to the research to support design, manufacturing and the life cycle management decisions in product development

The team was awarded $10K for their submission to the Lightweighting Technologies Enabling Comprehensive Automotive Redesign (LITECAR) Challenge

Park and Saitou developed a statistical potential function that set the accuracy record in predicting protein structures.

ME Professor Kazuhiro Saitou is a part of team that received a $13 million NIH P01 grant.

PhD student Jihun Kim wrote computer code that caught the eye of popular open software toolbox for medical image processing, Elastix. The code will prevent the unrealistic deformation in rigid bodies in deformable registration of medical diagnostic images