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.
![Debiao Meng](https://www.igminresearch.es/writable/uploads/members/debiao-meng.jpg)
Editor
Work Details
Associate professor
University of Electronic Science and Technology of China
School of Mechanical and Electrical Engineering
China
Contribution by Topic Area
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Research Articles
- Influence of Polycarboxylate Superplasticizer on the Calorimetric and Physicomechanical Properties of Mortar
- 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
- Contamination in Heat Exchangers: Types, Energy Effects and Prevention Methods
- Analytical Expressions of the Markov Chain of K-Ras4B Protein within the Catalytic Environment and a New Markov-State Model
- Technical & Economic Feasibility Study of Proposed Pump Storage Power Plants at Kuda Oya, Mul Oya, Gurugal Oya, and Dambagasthalawa
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