Prof Dr. Juan Zhang | Mathematics | Best Researcher Award
professor, Xiangtan University , China
Juan Zhang is an exemplary candidate for the Best Researcher Award, distinguished by his extensive academic and research accomplishments. He holds a Ph.D. in Applied Mathematics and has risen to the rank of professor at Xiangtan University, where he actively contributes to the field of numerical algebra and matrix analysis. With over 24 publications in reputable journals indexed by the Science Citation Index, his research has significantly advanced understanding in critical areas of applied mathematics. Zhang’s accolades include the Special Prize of the 25th President Award of Xiangtan University and recognition as a Young Backbone Teacher, underscoring his excellence in both teaching and research. His international experience as a visiting scholar at renowned institutions further highlights his commitment to academic collaboration. Overall, Zhang’s impressive credentials and contributions position him as a leading figure in his field, making him a deserving recipient of this prestigious award.
Profile:
Education
Juan Zhang earned his Ph.D. in Applied Mathematics from Xiangtan University in June 2013, under the guidance of Prof. Jianzhou Liu. Prior to his doctoral studies, he obtained a Master of Arts in Operational Research and Cybernetics in June 2009, also from Xiangtan University, where he was mentored by Prof. Jianzhou Liu. His academic journey began with a Bachelor of Science in Information and Computing Science, which he completed in June 2006 at the same institution. Throughout his education, Juan demonstrated a strong aptitude for mathematics and computational science, laying a solid foundation for his future research endeavors. His rigorous training and comprehensive knowledge in these fields have significantly contributed to his successful academic career, enabling him to develop innovative numerical methods and algorithms that address complex mathematical problems.
Professional Experiences
Juan Zhang is a distinguished academic in the field of mathematics, currently serving as a Professor at the School of Mathematics and Computational Science at Xiangtan University since January 2021. His career at the university began in July 2013 as an Assistant Professor, where he laid a solid foundation for his subsequent promotion to Associate Professor in January 2016. In addition to his teaching and research roles, Juan has enriched his expertise through various international experiences, including a stint as a Visiting Scholar at the Department of Mathematics at the University of Macau in August 2015 and at the National University of Singapore in December 2017. His work has focused on numerical algebra and matrix analysis, contributing to advancements in computational methods and algorithms. Through his dedication to education and research, Juan Zhang has significantly influenced both his institution and the broader academic community.
Research skills
Juan Zhang is an accomplished researcher specializing in numerical algebra and matrix analysis, with a strong focus on the development and application of numerical algorithms. His research is characterized by a deep understanding of complex mathematical concepts and their practical applications in various scientific fields. He has demonstrated proficiency in formulating innovative solutions for large sparse linear systems, coupled algebraic Riccati equations, and generalized Lyapunov equations. His ability to collaborate effectively with peers is evident in his extensive publication record, which includes numerous articles in high-impact journals. Moreover, his contributions to teaching and mentoring young researchers showcase his commitment to advancing the field of applied mathematics. Juan’s adeptness in utilizing advanced computational techniques and his ongoing engagement in cutting-edge research make him a valuable asset to both the academic community and industry partners.
Awards And Recoginition
Juan Zhang, a distinguished professor at Xiangtan University, has received numerous accolades reflecting his exceptional contributions to applied mathematics and education. Notable recognitions include the Special Prize of the 25th President Award from Xiangtan University in 2020, highlighting his innovative teaching methods and impactful research. In the same year, he was honored as a Young Backbone Teacher by the Education Department of Hunan Province, underscoring his role in shaping future educators. His commitment to academic excellence is further exemplified by awards such as the Excellent Party Member of Xiangtan University (2021) and the Baosteel Excellent Student Award (2011). Juan’s dedication to advancing knowledge in numerical algebra and matrix analysis is evidenced by his extensive publication record in leading scientific journals, where he has contributed significantly to the field. These honors collectively demonstrate his leadership and influence in both research and education.
Conclusion
Juan Zhang exemplifies the qualities of an outstanding researcher deserving of the Best Researcher Award. His extensive academic journey, marked by a Ph.D. in Applied Mathematics and a progressive career at Xiangtan University, showcases his dedication to advancing knowledge in numerical algebra and matrix analysis. With over 24 influential publications in high-impact journals, his research not only contributes significantly to the field but also addresses critical challenges in applied mathematics. His numerous awards and recognitions further attest to his excellence in teaching and research, highlighting his impact on students and the academic community. Moreover, his collaborations as a visiting scholar in esteemed institutions illustrate his commitment to global academic engagement. Juan’s achievements reflect a remarkable combination of expertise, innovation, and service, making him an exemplary candidate for this prestigious award. Recognizing his contributions will inspire future researchers and promote excellence in academia.
Publication Top Notes
- Backward Differentiation Formula Method and Random Forest Method to Solve Continuous-Time Differential Riccati Equations
Authors: Juan Zhang, Wenwen Zou, Chenglin Sui
Year: 2024
Citation: Asian Journal of Control, DOI: 10.1002/asjc.3494 - Low-Rank Generalized Alternating Direction Implicit Iteration Method for Solving Matrix Equations
Authors: Juan Zhang, Wenlu Xun
Year: 2024
Citation: Computational and Applied Mathematics, DOI: 10.1007/s40314-024-02774-8 - Hybrid Model of Tensor Sparse Representation and Total Variation Regularization for Image Denoising
Authors: Kai Deng, Youwei Wen, Kexin Li, Juan Zhang
Year: 2024
Citation: Signal Processing, DOI: 10.1016/j.sigpro.2023.109352 - A General Alternating-Direction Implicit Framework with Gaussian Process Regression Parameter Prediction for Large Sparse Linear Systems
Authors: Kai Jiang, Xuehong Su, Juan Zhang
Year: 2022
Citation: SIAM Journal on Scientific Computing, DOI: 10.1137/21M1450197 - Numerical Methods for the Minimal Non-Negative Solution of the Non-Symmetric Coupled Algebraic Riccati Equation
Authors: Juan Zhang, Fangyuan Tan
Year: 2021
Citation: Asian Journal of Control, DOI: 10.1002/asjc.2205 - The Generalized Modified Hermitian and Skew-Hermitian Splitting Method for the Generalized Lyapunov Equation
Authors: Juan Zhang, Huihui Kang
Year: 2021
Citation: International Journal of Control, Automation and Systems, DOI: 10.1007/s12555-020-0053-1 - The Structure-Preserving Doubling Numerical Algorithm of the Continuous Coupled Algebraic Riccati Equation
Authors: Juan Zhang, Shifeng Li
Year: 2020
Citation: International Journal of Control, Automation and Systems, DOI: 10.1007/s12555-019-0368-y