Beijing Institute of Technology, Zhuhai | China
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📘 BIOGRAPHY OF MEI LIANGCAI: A PIONEER IN COMPUTATIONAL MATHEMATICS
🎓EARLY ACADEMIC PURSUITS
MEI LIANGCAI began his academic journey with a Bachelor’s degree in Mathematics and Applied Mathematics from Langfang Normal University, Hebei Province (2003–2007). His early interest in theoretical and applied mathematics led him to pursue a Master’s degree in Applied Mathematics at Guangxi University (2007–2010). Eager to deepen his knowledge and research skills, he achieved a Doctorate in Computational Mathematics from the prestigious Harbin Institute of Technology between 2020 and 2023, equipping him with advanced expertise in numerical methods, differential equations, and computational modeling.
🏛️PROFESSIONAL ENDEAVORS
MEI LIANGCAI has accumulated over 15 years of academic experience. His career progression is marked by steady growth across renowned institutions:
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2024–Present: Associate Professor, Zhuhai Campus, Beijing Institute of Technology
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2021–2024: Associate Professor, Department of Big Data, Zhuhai University of Science and Technology, Beijing
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2018–2021: Lecturer, Department of Big Data, Zhuhai College, Beijing Institute of Technology
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2013–2018: Lecturer, Department of Mathematics Teaching, Zhuhai College, Beijing Institute of Technology
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2010–2013: Assistant Lecturer, Department of Mathematics Teaching, Guangzhou Songtian Vocational College
Throughout these roles, he has mentored students, developed academic curricula, and integrated modern computational tools into mathematical instruction.
DR. MEI’s research lies at the intersection of computational mathematics, differential equations, numerical methods, and big data applications. Notable contributions include:
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Piecewise Physics-Constrained Neural Networks for solving impulsive differential equations (Neurocomputing, 2025)
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Shifted-Legendre Orthonormal Methods for solving delay heat conduction equations (Applied Mathematics Letters, 2022)
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Improved Legendre-Orthonormal Basis Algorithm for second-order boundary value problems (2021)
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Novel methods in broken reproducing kernel space and Volterra integral equations with variable coefficients
His scholarly work reflects a balance between theoretical rigor and practical application, especially in neural network-assisted mathematical modeling and numerical simulations.
📈IMPACT AND INFLUENCE
DR. MEI's work has significantly impacted scientific computing and mathematical modeling, particularly in the fields of engineering and physics. He is often the sole first and corresponding author, showcasing his leadership in innovation. His methods have been cited for improving the efficiency and accuracy of solutions to complex mathematical models, which are vital in engineering, environmental science, and artificial intelligence.
📚ACADEMIC CITES
Among his most influential publications are: Neurocomputing (2025) – PiecewisePhysics-Constrained Neural Networks, Applied Mathematics Letters (2022 & 2021) – Delay heat equations & BVPs, Acta Mathematica Scientia (2020) – Nonlinear impulsive differential equations, Journal of Computational and Applied Mathematics (2019) – Volterra equations.
His academic book, “Simplified Reproduction Kernel Space Theory and Its Applications” (Vide Leaf Publishing, 2023), adds theoretical depth to his profile.
🏅LEGACY AND FUTURE CONTRIBUTIONS
DR. MEI has not only published but also innovated through patents:
He also received the Acta Mathematicae Scientiae Annual Excellent Paper Award in 2022, solidifying his academic standing.
Going forward, DR. MEI is poised to explore the fusion of artificial intelligence and numerical mathematics, continuing to shape how complex systems are modeled computationally. His involvement in teaching and mentorship ensures the propagation of his methods to the next generation of mathematicians and data scientists.
🧠 OTHER IMPORTANT TOPICS
RECOGNITION AND CREDIBILITY
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Recognized as a sole corresponding author in high-impact journals.
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Frequently the only first author, underscoring his research independence.
INTEGRATION WITH TECHNOLOGY
TEACHING AND MENTORSHIP
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Over a decade of experience in academia, fostering research in big data, mathematical modeling, and algorithm development.
📌CONCLUSION
MEI LIANGCAI stands as a beacon of innovation in computational mathematics. His dedicated academic path, pioneering research, and vision for technological integration make him a valuable contributor to the global scientific community. With his continued endeavors in AI-powered mathematical modeling, he is sure to leave an indelible mark on both academia and applied sciences.
📑NOTABLE PUBLICATIONS
"Piecewise Physics-Constrained Neural Networks for solving second-order impulsive differential equations"
- Authors: Junxi Chen; Liangcai Mei; Chuan Yang; Boyang Liu; Jiarong Han; Wulong Yao
- Journal: Neurocomputing
- Year: 2025
"Multiscale orthonormal method for nonlinear system of BVPs"
- Authors: Yingchao Zhang; Liangcai Mei; Yingzhen Lin
- Journal: Computational and Applied Mathematics
- Year: 2023
"An ε-Approximate Approach for Solving Variable-Order Fractional Differential Equations"
- Authors: Yahong Wang; Wenmin Wang; Liangcai Mei; Yingzhen Lin; Hongbo Sun
- Journal: Fractal and Fractional
- Year: 2023
"Shifted-Legendre orthonormal method for delay heat conduction equation"
- Authors: Liangcai Mei; Boying Wu; Yingzhen Lin
- Journal: Applied Mathematics Letters
- Year: 2022
"A Numerical Method for Solving Fractional Differential Equations"
- Authors: Yahong Wang; Haili Zhou; Liangcai Mei; Yingzhen Lin; Marjan Uddin
- Journal: Mathematical Problems in Engineering
- Year: 2022