Jianghong Zhao | Engineering | Best Researcher Award

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Prof. Jianghong Zhao | Engineering | Best Researcher Award

Beijing University of Civil Engineering and Architecture | China

Author Profile

Scopus

🌱 Early Academic Pursuits

Prof. Jianghong Zhao's academic journey began with a deep curiosity about maps and spatial data. She earned her Bachelor’s degree in Cartography from Wuhan Technical University of Surveying and Mapping in 1998, followed by a Master’s in Cartography and Geographic Information Engineering from Wuhan University in 2001. Her academic pursuits culminated in a Ph.D. in Photogrammetry and Remote Sensing from the same university in 2012. Her passion for international collaboration led her to the University of Massachusetts Boston as a visiting scholar, where she expanded her horizons in geospatial technology.

🧭 Professional Endeavors

Starting her academic career at Beijing University of Civil Engineering and Architecture in 2001, Prof. Zhao steadily rose from Lecturer to Full Professor. Since 2015, she has served as the Vice Dean of the School of Surveying and Mapping. Her responsibilities extend beyond teaching and research—she actively contributes to national academic committees, helps design curriculum reforms, and mentors both students and junior faculty with great enthusiasm.

🔬 Contributions and Research Focus

Prof. Zhao’s research has been at the forefront of geographic information science. Her expertise lies in 3D point cloud data processing, indoor and outdoor spatial modeling, and deep learning-driven geospatial analysis. She has led and participated in over 30 major research projects funded by the National Natural Science Foundation of China, government agencies, and academic institutions. Her innovations in semantic segmentation and intelligent modeling have provided powerful tools for urban planning, heritage preservation, and emergency response mapping.

🏆 Accolades and Recognition

A decorated academic, Prof. Zhao has earned numerous prestigious awards. These include multiple first and second prizes from the China Geographic Information Science and Technology Progress Awards, as well as the Beijing Science and Technology Progress Award. She has been recognized as an Excellent Teacher, Young Academic Star, and Outstanding Mentor in national competitions. Her books, patents, and teaching excellence have set benchmarks in the academic community.

🌍 Impact and Influence

Prof. Zhao’s impact is both wide and deep. Her scholarly work has been published in top-tier international journals, presented at global conferences, and adopted in practical applications across industries. Through her roles in international organizations such as the ICA and ISDE, she has contributed to shaping global standards and research directions in geoinformatics. Her mentorship has empowered a new generation of geospatial scientists, many of whom have won national honors under her guidance.

🌟 Legacy and Future Contributions

With a career defined by innovation, leadership, and compassion, Prof. Jianghong Zhao is not only a trailblazer in geographic information science but also a visionary educator. She continues to inspire through her work on integrating emerging technologies like AI and remote sensing into geospatial research. As she looks to the future, her legacy is clear—empowering students, advancing science, and transforming how we understand and interact with the world around us.

Publications

📄A Cross-Modal Attention-Driven Multi-Sensor Fusion Method for Semantic Segmentation of Point Clouds

Authors: Huisheng Shi, Xin Wang, Jianghong Zhao, Xinnan Hua
Journal: Sensors
Year: 2025

📄Overview and Prospects of Visibility Analysis Approaches

Authors: Jianghong Zhao, Ailin Xu, Xueqing Zhang, Yunhui Zhang, Yihong Zhang, Mengtian Cao, 黄明 (Huang Ming)
Journal: Proceedings
Year: 2024

📄MSFA-Net: A Multiscale Feature Aggregation Network for Semantic Segmentation of Historical Building Point Clouds

Authors: Ruiju Zhang, Yaqian Xue, Jian Wang, Daixue Song, Jianghong Zhao, Lei Pang
Journal: Buildings
Year: 2024

📄Advances in Spatiotemporal Graph Neural Network Prediction Research

Authors: Jianghong Zhao, Yi Wang, Xintong Dou, Xin Wang, Ming Guo, Ruiju Zhang, Haimeng Li
Journal: International Journal of Digital Earth
Year: 2023

📄An Automated Multi-Constraint Joint Registration Method for Mobile LiDAR Point Cloud in Repeated Areas

Authors: Chutian Gao, Ming Guo, Jianghong Zhao, Peng Cheng, Yuquan Zhou, Tengfei Zhou, Kecai Guo
Journal: Measurement
Year: 2023

 

Manyu Xiao | Mathematics | Best Researcher Award

Published on by Book of Award

Assoc Prof Dr. Manyu Xiao | Mathematics | Best Researcher Award

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