Prof. Sedaghat Shahmorad Moghanlou | Applied Mathematics | Best Researcher Award
Applied Math. Department at University of Tabriz, Iran
Prof. Sedaghat Shahmorad ๐, a distinguished scholar in Applied Mathematics at the University of Tabriz ๐ฎ๐ท, specializes in numerical analysis, particularly integro-differential equations. With over two decades of academic experience ๐ง , he has significantly contributed to the field through extensive teaching, research, and leadership. He has supervised numerous M.Sc. and Ph.D. theses ๐๐ and authored multiple scholarly books and impactful journal articles ๐๐. His work on the Tau method and approximation techniques has earned recognition in computational mathematics ๐งฎ. As Head of the Applied Mathematics Department and former Dean, he has demonstrated strong administrative and academic leadership ๐จโ๐ซ๐. Prof. Shahmoradโs dedication to advancing numerical methods and mentoring future mathematicians makes him a highly deserving candidate for the Best Researcher Award ๐๐ฌ.
Professional Profileย
Education ๐๐
Prof. Sedaghat Shahmorad earned his B.Sc. in Applied Mathematics from the University of Tabriz ๐ฎ๐ท, followed by an M.Sc. and Ph.D. in Numerical Analysis from the same institution. His academic journey has been marked by excellence in mathematical modeling and computational theory ๐. With a solid foundation in numerical methods and integro-differential equations, he developed deep expertise in solving complex mathematical problems ๐ก. Throughout his academic training, Prof. Shahmorad received high honors, standing out for his analytical acumen and innovation ๐ง . His commitment to lifelong learning and scholarly development has shaped a distinguished academic and research career, reinforcing his role as a leading expert in numerical mathematics ๐๐.
Professional Experience ๐จโ๐ซ๐ข
Prof. Shahmorad brings over two decades of academic and leadership experience in Applied Mathematics at the University of Tabriz ๐. He has served as the Head of the Department of Applied Mathematics and formerly as the Dean of the Faculty of Mathematical Sciences ๐๏ธ. In addition to his teaching duties, he has led multiple research projects, supervised numerous postgraduate students, and contributed to curriculum development ๐. His strong leadership and mentorship have made a lasting impact on the academic community ๐ฅ. He has also participated in editorial boards, conferences, and international collaborations ๐. His professional trajectory reflects his deep commitment to both teaching and research excellence, making him a vital contributor to the advancement of numerical mathematics ๐ฌ๐.
Research Interest ๐๐
Prof. Shahmoradโs research focuses on numerical analysis, especially the development of efficient methods for solving integro-differential and delay differential equations ๐ข. He is renowned for his work on Tau methods, spectral techniques, and high-order approximation algorithms, which have broad applications in engineering, physics, and applied sciences โ๏ธ๐. His studies aim to bridge theoretical rigor with computational feasibility, providing tools for real-world problem-solving ๐ป๐. He also explores fractional calculus, integral transforms, and mathematical modeling of dynamic systems. His interdisciplinary research contributes significantly to advancing both applied and pure mathematical domains ๐๐งช. Prof. Shahmoradโs innovative methodologies continue to influence emerging trends in computational mathematics and inspire the next generation of researchers around the globe ๐.
Award and Honor ๐๐๏ธ
Prof. Sedaghat Shahmorad has received multiple awards and honors recognizing his academic excellence, innovative research, and outstanding mentorship ๐ ๐. Notably, he has been acknowledged as a Top Researcher at the University of Tabriz and by national science organizations in Iran ๐ฎ๐ท. His contributions to numerical mathematics, especially in solving integro-differential equations, have earned accolades from peer-reviewed journals and international conference bodies ๐งพ๐. He has also received honors for excellence in teaching and student supervision, highlighting his role as a mentor par excellence ๐จโ๐ซ๐ฑ. These awards are a testament to his impactful research output, dedication to knowledge dissemination, and continued service to the academic community ๐๐ง .
Research Skill ๐ง ๐ป
Prof. Shahmorad possesses advanced skills in mathematical modeling, numerical simulations, and algorithm development. He is proficient in implementing spectral and collocation methods, particularly the Tau method, to tackle complex integro-differential systems with precision ๐ข๐. His expertise extends to fractional differential equations, delay systems, and applied analysis using computational tools like MATLAB and Mathematica ๐ฅ๏ธโ๏ธ. With a strong command over linear algebra, integral transforms, and functional analysis, he develops robust algorithms that are widely cited and applied in science and engineering ๐๐. His problem-solving approach blends theoretical insight with computational strategy, fostering innovation and practical applications in numerical mathematics ๐๐.
Publications Top Note ๐
-
Title: Solving a class of auto-convolution Volterra integral equations via differential transform method
Authors: Sedaghat Shahmorad, et al.
Year: 2025
Source: Journal of Mathematical Modeling -
Title: Approximate solution of multi-term fractional differential equations via a block-by-block method
Authors: Sedaghat Shahmorad, et al.
Year: 2025
Citations: 1
Source: Journal of Computational and Applied Mathematics -
Title: Convergence analysis of Jacobi spectral tau-collocation method in solving a system of weakly singular Volterra integral equations
Authors: Sedaghat Shahmorad, et al.
Year: 2024
Citations: 1
Source: Mathematics and Computers in Simulation -
Title: Theoretical and numerical analysis of a first-kind linear Volterra functional integral equation with weakly singular kernel and vanishing delay
Authors: Sedaghat Shahmorad, et al.
Year: 2024
Citations: 1
Source: Numerical Algorithms -
Title: Double weakly singular kernels in stochastic Volterra integral equations with application to the rough Heston model
Authors: Sedaghat Shahmorad, et al.
Year: 2024
Source: Applied Mathematics and Computation -
Title: Existence, uniqueness and blow-up of solutions for generalized auto-convolution Volterra integral equations
Authors: Sedaghat Shahmorad, et al.
Year: 2024
Source: Applied Mathematics and Computation -
Title: The application of fuzzy transform method to the initial value problems of linear differentialโalgebraic equations
Authors: Sedaghat Shahmorad, et al.
Year: 2024
Source: Mathematical Sciences -
Title: Solving fractional differential equations using cubic Hermit spline functions
Authors: Sedaghat Shahmorad, et al.
Year: 2024
Source: Filomat (Open Access) -
Title: Solving 2D-integro-differential problems with nonlocal boundary conditions via a matrix formulated approach
Authors: Sedaghat Shahmorad, et al.
Year: 2023
Citations: 1
Source: Mathematics and Computers in Simulation -
Title: Review of recursive and operational approaches of the Tau method with a new extension
Authors: Sedaghat Shahmorad, et al.
Year: 2023
Source: Computational and Applied Mathematics
Conclusion โจ๐
Prof. Sedaghat Shahmorad stands as a prominent figure in numerical analysis, combining deep theoretical knowledge with computational expertise ๐๐. His dedication to teaching, mentoring, and advancing numerical methodologies has significantly shaped the field and inspired scholars across disciplines ๐ง ๐. With a rich portfolio of research, leadership roles, and academic honors, he exemplifies excellence in mathematics and its real-world applications ๐งพ๐ . His work not only contributes to scientific understanding but also provides tools for innovation across technology and engineering sectors ๐งฌโ๏ธ. As a visionary academic and skilled researcher, Prof. Shahmorad continues to influence future directions in computational and applied mathematics with distinction ๐๐.