Assoc. Prof. Dr Farooq Ahmed Shah, COMSATS University Islamabad, Attock Campus, Pakistan
Dr. Farooq Ahmed Shah is an accomplished Associate Professor at COMSATS University Islamabad, specializing in Numerical Analysis and Mathematics. ๐ He holds a Ph.D. in Mathematics, focusing on variational iteration techniques and numerical methods for nonlinear equations. His research has earned him multiple Research Productivity Awards from 2009 to 2024. ๐ His interdisciplinary work spans fields like artificial neural networks, particle swarm optimization, and thermal energy analysis, making significant contributions to engineering and applied mathematics. ๐ฌ He is also known for organizing seminars on advancements in mathematics, promoting academic collaboration. ๐
Publication Profile
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Educational Background ๐
Dr. Farooq Ahmed Shah completed his Ph.D. in Mathematics (Numerical Analysis) from COMSATS Institute of Information Technology, Islamabad, Pakistan in 2012. ๐ His doctoral research focused on variational iteration techniques and advanced numerical methods for solving nonlinear equations, making significant contributions to computational mathematics. ๐ข With a solid academic foundation, he has since developed expertise in various areas, including artificial neural networks, optimization techniques, and thermal energy analysis. ๐ His education has shaped his career, helping him become a leader in the field and a dedicated educator and researcher in applied mathematics. ๐
Seminars/Conferences Attended๐๐
Dr. Farooq Ahmed Shah has actively contributed to numerous seminars and conferences throughout his career. ๐ค He organized and delivered a talk on “Some Basic Rules and Commands of Maple” in a workshop at COMSATS University Islamabad in 2017. ๐ฅ๏ธ As the chief organizer, he also led a two-day workshop on “Advancements in Pure and Applied Mathematics” at the same institution. He has delivered seminars on topics like the “Variational Iteration Technique” and “Variational Inequalities” at COMSATS and other academic institutions. ๐ His participation in various workshops and talks showcases his dedication to the academic community. ๐
Research Projects๐โจ
Dr. Farooq Ahmed Shahโs Ph.D. thesis focused on Variational Iteration Technique and Numerical Methods for Solving Nonlinear Equations. ๐ข His research aimed to develop more efficient methods for solving complex mathematical problems, contributing significantly to computational mathematics. ๐ Additionally, his MS thesis titled “Some Iterative Methods for Solving Nonlinear Equations” explored iterative techniques, further strengthening his expertise in solving nonlinear equations. ๐งโ๐ฌ These projects laid the foundation for his groundbreaking work in numerical analysis and optimization, advancing mathematical theories and their practical applications across multiple disciplines. ๐
Professional Experience๐ผ
Dr. Farooq Ahmed Shah has extensive teaching experience at COMSATS University Islamabad, Attock Campus, where he has served as an Assistant Professor in the Department of Mathematics from December 2012 to June 2022, and as an Associate Professor since July 2022. ๐ During his tenure, he taught various mathematics courses, focusing on numerical analysis, mathematical modeling, and optimization techniques. ๐ก His areas of interest include nonlinear equations, artificial neural networks, and thermal energy analysis. ๐ Dr. Shah’s dedication to academia and his innovative teaching methods have made a significant impact on the students and the field. ๐จโ๐ซ.
Research Focus Area ๐ฑ๐งฌ
Dr. Farooq Ahmed Shah’s research focuses on Numerical Analysis and the development of analytical and numerical techniques for solving nonlinear equations and systems of both linear and nonlinear equations. ๐ข His work primarily revolves around iterative methods, using advanced techniques like variational iteration, homotopy perturbation, decomposition techniques, and quadrature formulae. ๐ He has also explored multiplicative calculus and fractional calculus to enhance these methods, tackling complex problems across various disciplines. ๐ Dr. Shah’s innovative approaches contribute significantly to the advancement of computational mathematics and problem-solving in applied sciences. ๐ก
Publication Top Notes๐โจ
Generalized and novel iterative scheme for best approximate solution of large and sparse augmented linear systems
The Dynamics of European-style Option Pricing in the Financial Market Utilizing the Black-scholes Model with Two Assets, Supported by Variational Iteration Technique
Classes of Higher Order Convergent Iterative Methods for Solving Nonlinear Equations
Exploring effective iterative methods for nonlinear equations by using variational iteration technique
Neural network design for cubic autocatalysis chemical processes, the flow of a DarcyโForchheimer viscous fluid is optimized for entropy
Design of bio-inspired heuristic technique integrated with sequential quadratic programming for nonlinear model of pine wilt disease
Variational iteration method along with intelligent computing system for the radiated flow of electrically conductive viscous fluid through porous medium
Design of intelligent computing networks for a two-phase fluid flow with dusty particles hanging above a stretched cylinder
A generalized iterative scheme with computational results concerning the systems of linear equations
The dynamics of water-based nanofluid subject to the nanoparticleโs radius with a significant magnetic field: The case of rotating micropolar fluid
Conclusion ๐
Given his exemplary research record, leadership in academic activities, and consistent contributions to the advancement of mathematical sciences, Dr. Farooq Ahmed Shah is indeed a deserving candidate for the Best Researcher Award. His multi-disciplinary approach, innovative solutions to complex problems, and dedication to enhancing computational mathematics make him stand out as a leading researcher in his field.