ASME

Journal of Computing and Information Science in Engineering

Bin 
He, Ph.D.
Bin He

Areas of Interest

ARTIFICIAL INTELLIGENCE METHODS FOR COMPUTATIONAL DESIGN
DESIGN FOR LOW CARBON FOOTPRINT
INTELLIGENT MANUFACTURING
ROBOTICS
SUSTAINABLE CAD/CAM/CAE
Shanghai University, China
Dr. Bin He is currently a Full Professor of Mechanical Engineering at Shanghai University. He received his degrees from B.S. to Ph.D. in Mechanical Engineering at Zhejiang University. He worked as a visiting professor at Georgia Institute of Technology. Currently, Dr. He is the Vice Dean of School of Mechatronics Engineering and Automation, Director of Intelligent Manufacturing for Carbon Neutral, Deputy Director of Shanghai Key Laboratory of Intelligent Manufacturing and Robotics, Director of Robotics and Intelligent Design Research Center, Shanghai University. He is now serving as Associate Editor of ASME Journal of Computing and Information Science in Engineering. Dr. He has also obtained Chinese Mechanical Industry Science and Technology Award, Shanghai Teaching Achievement Award. His areas of interest include sustainable CAD/CAM/CAE for carbon neutral, robotics, intelligent manufacturing, and artificial intelligence methods for computational design. For more information, please visit: https://www.researchgate.net/profile/Bin-He-49

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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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