Biography
Debiao Meng is an associate professor in School of Mechanical and Electrical Engineering in University of Electronic Science and Technology of China, China. He is also a Visiting Professors in the University of Bologna, and a Visiting Research Fellow at Zigong Innovation Centre of Zhejiang University. He obtained his degree BSc (2007) in Mechanical Engineering from Northwest A&F University and Ph.D. degree from the School of Mechanical and Electrical Engineering, UESTC with a major in Mechanical Engineering (2014). From 2013 to 2015, he was a joint Ph.D. student in the Department of Civil and Environmental Engineering at Vanderbilt University, US; and from 2017 to 2019, he was a Visiting Scholar at Rutgers University, US. His main research field is uncertainty-based multidisciplinary design and optimization of complex engineering systems. He has published more than 40 journal and proceedings papers on system reliability analysis, multidisciplinary design optimization, surrogate modeling, and uncertainty quantification and propagation.
Research Interest
Structural integrity; Structural strength; Reliability engineering; Design and optimization; Uncertainty analysis; Renewable energy; Wind power equipment; Intelligent algorithm; Multidisciplinary design optimization; Multiphysics coupling analysis.

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Work Details
Associate professor
University of Electronic Science and Technology of China
School of Mechanical and Electrical Engineering
China
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Research Articles
- Exploring Upper Limb Kinematics in Limited Vision Conditions: Preliminary Insights from 3D Motion Analysis and IMU Data
- Potentially Toxic Metals in Cucumber Cucumis sativus Collected from Peninsular Malaysia: A Human Health Risk Assessment
- Investigation and Energy Modeling of New Generation Environmentally Friendly Energy Source Thorium Fueled Molten Salt Reactors
- A Comprehensive Methodology for Assessing the Business Reputation of Industrial and Production Personnel
- Slip Resistance Evaluation of 10 Indoor Floor Surfaces
- Study of the Histological Features of the Stroma of High-Grade Gliomas Depending on the Status of the Mutation in the IDH1 Gene
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