Director of the Foreign Exchange and Cooperation Office, School of Mathematics and Statistics, Northwestern Polytechnical University, China
Dr. Manyu Xiao, born on June 14, 1980, in Huangshi, Hubei, China, is a prominent associate professor at the School of Mathematics and Statistics, Northwestern Polytechnical University (NPU), Xi’an, China. Renowned for her extensive research in efficient numerical methods, model reduction, and parallel computing, Dr. Xiao has made significant contributions to mechanical optimization and surrogate-based topology optimization. She is highly regarded in the academic community for her innovative approaches and dedication to advancing computational mechanics.
Profile
Scopus
Education 🎓
Dr. Xiao’s academic journey is marked by her pursuit of excellence across various prestigious institutions. She earned her Doctorate in Engineering Science from the Université de Technologie de Compiègne (UTC), France, in 2010, specializing in multidisciplinary optimization with model reduction and parallel computing. Prior to this, she completed her Master’s in Computational Mathematics at Northwestern Polytechnical University (NPU), China, in 2006, and her Bachelor’s in Mathematics and Applied Mathematics from Three Gorge University (TGU), China, in 2003.
Professional Experience 💼
Dr. Xiao has held several significant positions throughout her career. Since March 2012, she has been serving as an associate professor at NPU. Her previous roles include a post-doctoral fellowship at UTC, France, and visiting scholar positions at renowned institutions such as the Université Libre de Bruxelles, University of Alabama in Huntsville, Queen Mary University of London, University of Oxford, University of Cambridge, and University of Helsinki. These roles have enabled her to collaborate on groundbreaking projects and enhance her pedagogical skills.
Research Interests 🔬
Dr. Xiao’s research interests are broad and impactful. She focuses on developing efficient numerical methods and exploring model reduction techniques and parallel computing. Her work in mechanical optimization and surrogate-based topology optimization is highly esteemed, contributing to advancements in computational mechanics and engineering applications.
Awards 🏆
Dr. Xiao’s contributions to the field have been recognized through various prestigious awards. Notably, she received the Best Paper Award at the 6th Australian Conference on Computational Mechanics (ACCM 2023) and the third prize of the 15th Shaanxi province Natural Science outstanding Academic Paper in 2022. Her efforts in educational innovation have also been acknowledged, earning her the title of International Rising Star by the International Association for Computational Mechanics-Female Researcher in 2020, among other accolades.
Publications Top Notes 📚
Xiao, M., et al. “Primal-dual On-the-fly Reduced-Order Modeling for Large-Scale Transient Dynamic Topology Optimization,” Computer Methods in Applied Mechanics and Engineering, 2024.
Xiao, M., et al. “Stress-constrained topology optimization using approximate reanalysis with on-the-fly reduced order modeling,” Advanced Modeling and Simulation in Engineering Sciences, 2022.
Xiao, M., et al. “Investigation of Classification and Anomalies based on Machine Learning Methods applied to Large Scale Building Information Modeling,” Applied Sciences, 2022.
Yang, Y., et al. “A Gaussian process regression-based surrogate model of the varying workpiece dynamics for chatter prediction in milling of thin-walled structures,” International Journal of Mechanical System Dynamics, 2022.
Xiao, M., et al. “Revisiting p-refinement in structural topology optimization,” Structures, 2021.