Mr. Hanlin Guo| elliptic interface problem| Best Researcher Award

graduate student,Institute of Applied Physics and Computational Mathematics.China

Hanlin Guo is a highly productive and technically skilled early-career researcher with a robust portfolio in computational methods, image processing, and model fitting. His work shows consistent development, theoretical depth, and practical relevance. The combination of high-quality publications, first-author contributions, and collaboration makes him a strong candidate for research recognition.

Profile:

Google scholar

Scopus

Education:

Hanlin Guo is currently a graduate student at the Institute of Applied Physics and Computational Mathematics, enrolled since 2022. His academic background emphasizes applied mathematics and scientific computing, with coursework including applied partial differential equations, numerical methods for interface problems, and computational physics. His education has provided a strong foundation in both the theoretical and practical aspects of numerical analysis, preparing him for advanced research in computational mathematics.

Professional Experience:

Hanlin’s research is primarily focused on the development of high-order numerical methods for solving complex partial differential equations, particularly elliptic interface problems. His work involves the design and analysis of the Direct Discontinuous Galerkin (DDG) method on arbitrary polygon-fitted meshes, which presents advantages in handling irregular geometries with high accuracy. His interests also extend to the theoretical analysis of convergence and stability, as well as efficient implementation strategies for large-scale scientific simulations.

Skills:

Hanlin possesses strong programming and analytical skills, with proficiency in C++, Python, and MATLAB. He is experienced in implementing and analyzing numerical algorithms, particularly finite element and discontinuous Galerkin methods. His expertise extends to the use of scientific software such as COMSOL Multiphysics and proficiency in technical writing with LaTeX. These skills enable him to handle complex simulations and communicate his research effectively.

Honors and Awards:

Throughout his graduate studies, Hanlin has been recognized for academic excellence, receiving a merit-based scholarship from the Institute of Applied Physics and Computational Mathematics in 2023. In 2024, he was awarded Best Paper Presentation at the Graduate Research Conference, reflecting both the quality of his research and his ability to present complex ideas clearly

Publication :

G. Xiao, Z. Tang, H. Guo, J. Yu, H. T. Shen – FAFusion: Learning for infrared and visible image fusion via frequency awareness – 2024

H. Guo, Y. Lu, H. Chen, H. Luo, G. Xiao, H. Zhang, H. Wang – Motion consistency guided robust geometric model fitting with severe outliers – 2024

H. Guo, Y. Lu, G. Xiao, S. Lin, H. Wang – Triplet relationship guided sampling consensus for robust model estimation – 2021

H. Guo, G. Xiao, L. Su, J. Zhou, D. H. Wang – Local neighbor propagation on graphs for mismatch removal – 2022

H. Guo, J. Zhao, W. Liu, D. Yang, C. Zhou, G. Lin, S. Lin – Robust multi-model fitting via neighborhood graph structure consistency – 2024

H. Guo, W. Chen, Z. Deng, S. Chen, X. Hong, S. Chen, D. H. Wang – Sampling Consensus by Neighborhood Interaction Information for Remote Sensing Image Matching – 2024

J. Zhou, Y. Yao, X. Chen, H. Guo, R. Chen, Q. Huang, W. Chen, Y. Chen – Research on moving object tracking with a large number of outliers based on TRESAC++ algorithm – 2024

J. Zhou, Y. Yao, X. Chen, H. Guo, Q. Li, Z. Deng – Triplet relationship guided density clustering for feature matching with a large number of outliers – 2024

H. Guo, G. Xiao, L. Su, T. Li, D. H. Wang, H. Wang – Second-Order Proximity Guided Sampling Consensus for Robust Model Fitting – 2025

J. Zhou, Y. Yao, X. Chen, H. Guo, Q. Huang – Dynamic Object Tracking Based on Triplet Relationship Guided Sampling Consensus Algorithm – 2024

conclusion:

Hanlin Guo is a suitable and compelling nominee for the Best Researcher Award, particularly among early-career or mid-level researchers. His contributions demonstrate significant scientific merit, research maturity, and impact potential. With increased focus on independent research leadership and broader recognition, he is well on track to becoming a leading expert in his field. The award would both recognize his achievements and encourage continued excellence.

Mr. Hanlin Guo| elliptic interface problem| Best Researcher Award

Mr. Hanlin Guo| elliptic interface problem| Best Researcher Award

graduate student,Institute of Applied Physics and Computational Mathematics.China

Education:

Professional Experience:

Skills:

Honors and Awards:

conclusion:

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