Northwestern Polytechnical University | China
Author Profile
Scopus
Early Academic Pursuits
Dr. Manyu Xiao began her academic journey at Three Gorges University in China, where she earned her Bachelor of Science in Mathematics and Applied Mathematics in 2003. She then pursued a Master of Science in Computational Mathematics at Northwestern Polytechnical University (NPU), China, from 2003 to 2006. Her master’s research focused on fast and parallel algorithms for information processing under the guidance of Quanyi Lu. Subsequently, Dr. Xiao completed her Doctorate in Engineering Science from Université de Technologie de Compiègne (UTC) in France in 2010, where she specialized in multidisciplinary optimization with model reduction and parallel computing. Her doctoral advisors were Piotr Breitkopf and Rajan Filomeno Colho.
Professional Endeavors
Dr. Xiao has a rich professional background, marked by significant positions and research projects. Since March 2012, she has been an associate professor in the Department of Applied Mathematics at NPU. Prior to this, she was a post-doctoral fellow at UTC, France, from 2010 to 2011, where she worked on constrained POD model reductions. Her career includes various visiting scholar positions, such as at Université Libre de Bruxelles, Belgium, the University of Alabama in Huntsville, USA, Queen Mary University of London, University of Oxford, University of Cambridge, and University of Helsinki, Finland.
Contributions and Research Focus
Dr. Xiao’s research interests are diverse and impactful, focusing on efficient numerical methods, model reduction, parallel computing, mechanical optimization, and surrogate-based topology optimization. She has led and participated in numerous research projects, including those funded by the National Natural Science Foundation of China and the Natural Science Foundation of Shaanxi Province. Her projects cover areas such as dynamic multi-fidelity reduction for topology optimization, large-scale stress-constrained topology optimization, and the design of lightweight functional graded core structures for thermal protection systems.
Accolades and Recognition
Dr. Xiao’s contributions have been widely recognized. She received the Best Paper Award at the 6th Australian Conference on Computational Mechanics in 2023, and the third prize for outstanding academic paper by the Shaanxi province in 2022. In 2020, she was honored as an International Rising Star by the International Association for Computational Mechanics. Additionally, she has been recognized multiple times by Northwestern Polytechnical University for her teaching excellence and her role as a thesis supervisor.
Impact and Influence
Dr. Xiao’s work has significantly influenced the field of applied mathematics and computational mechanics. Her research on large-scale structural topology optimization and model reduction has advanced the capabilities of computational methods in engineering. Her numerous publications in high-impact journals and contributions to books underscore her influence. Furthermore, her teaching reforms and MOOC projects at NPU have enhanced the internationalization and quality of mathematics education.
Legacy and Future Contributions
Dr. Xiao’s legacy lies in her pioneering research and dedication to education. Her work continues to inspire advancements in computational mathematics and engineering optimization. Future contributions are anticipated from her ongoing and upcoming research projects, including those on the construction of kinetic models for composite materials and large-scale structural design optimization. Her commitment to developing internationalized training modes for mathematical talents ensures that her influence will extend to future generations of scholars and engineers.
Notable Publications
📄 Article: Primal–dual on-the-fly reduced-order modeling for large-scale transient dynamic topology optimization
- Authors: Xiao, M., Ma, J., Gao, X., Cauvin, L., Villon, P.
- Journal: Computer Methods in Applied Mechanics and Engineering
- Year: 2024
- Citations: 0
📄 Article: Towards a data-driven paradigm for characterizing plastic anisotropy using principal components analysis and manifold learning
- Authors: Jin, J., Cauvin, L., Raghavan, B., Dutta, S., Xiao, M.
- Journal: Computational Materials Science
- Year: 2024
- Citations: 0
📄 Article: Stress-constrained topology optimization using approximate reanalysis with on-the-fly reduced order modeling
- Authors: Xiao, M., Ma, J., Lu, D., Raghavan, B., Zhang, W.
- Journal: Advanced Modeling and Simulation in Engineering Sciences
- Year: 2022
- Citations: 1
📄 Article: A Gaussian process regression-based surrogate model of the varying workpiece dynamics for chatter prediction in milling of thin-walled structures
- Authors: Yang, Y., Yang, Y., Xiao, M., Wan, M., Zhang, W.
- Journal: International Journal of Mechanical System Dynamics
- Year: 2022
- Citations: 7
📄 Article: Accelerating Large-scale Topology Optimization: State-of-the-Art and Challenges
- Authors: Mukherjee, S., Lu, D., Raghavan, B., Xiao, M., Zhang, W.
- Journal: Archives of Computational Methods in Engineering
- Year: 2021
- Citations: 54