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Discover the nexus of Science, Technology, Engineering, and Medicine in our Multidisciplinary Open Access Journal – a platform for breakthroughs and collaborative expertise, driving knowledge and innovation. | Important Update! Building on our inaugural year's success, adjustments to article processing charges will take effect in October. More details coming soon! | Discover the nexus of Science, Technology, Engineering, and Medicine in our Multidisciplinary Open Access Journal – a platform for breakthroughs and collaborative expertise, driving knowledge and innovation. | Important Update! Building on our inaugural year's success, adjustments to article processing charges will take effect in October. More details coming soon!
Abstract

Debiao Meng Editor at IgMin Research

Our mission is to foster interdisciplinary dialogue and accelerate the advancement of knowledge across a wide spectrum of scientific domains.

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.

Reasearch 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.