Farooq Ahmed Shah | Nanomaterials | Best Researcher Award

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. 📚 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. 🏆 His interdisciplinary work spans fields like artificial neural networks, particle swarm optimization, and thermal energy analysis, making significant contributions to engineering and applied mathematics. 🔬 He is also known for organizing seminars on advancements in mathematics, promoting academic collaboration. 🌍

Publication Profile

Google Scholar

Educational Background 🎓

Dr. Farooq Ahmed Shah completed his Ph.D. in Mathematics (Numerical Analysis) from COMSATS Institute of Information Technology, Islamabad, Pakistan in 2012. 🎓 His doctoral research focused on variational iteration techniques and advanced numerical methods for solving nonlinear equations, making significant contributions to computational mathematics. 🔢 With a solid academic foundation, he has since developed expertise in various areas, including artificial neural networks, optimization techniques, and thermal energy analysis. 🌐 His education has shaped his career, helping him become a leader in the field and a dedicated educator and researcher in applied mathematics. 📚

Seminars/Conferences Attended📚🌐

Dr. Farooq Ahmed Shah has actively contributed to numerous seminars and conferences throughout his career. 🎤 He organized and delivered a talk on “Some Basic Rules and Commands of Maple” in a workshop at COMSATS University Islamabad in 2017. 🖥️ 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. 📚 His participation in various workshops and talks showcases his dedication to the academic community. 🌐

Research Projects📄✨

Dr. Farooq Ahmed Shah’s Ph.D. thesis focused on Variational Iteration Technique and Numerical Methods for Solving Nonlinear Equations. 🔢 His research aimed to develop more efficient methods for solving complex mathematical problems, contributing significantly to computational mathematics. 📐 Additionally, his MS thesis titled “Some Iterative Methods for Solving Nonlinear Equations” explored iterative techniques, further strengthening his expertise in solving nonlinear equations. 🧑‍🔬 These projects laid the foundation for his groundbreaking work in numerical analysis and optimization, advancing mathematical theories and their practical applications across multiple disciplines. 📚

Professional Experience💼

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. 📚 During his tenure, he taught various mathematics courses, focusing on numerical analysis, mathematical modeling, and optimization techniques. 💡 His areas of interest include nonlinear equations, artificial neural networks, and thermal energy analysis. 🌐 Dr. Shah’s dedication to academia and his innovative teaching methods have made a significant impact on the students and the field. 👨‍🏫.

Research Focus Area 🌱🧬

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. 🔢 His work primarily revolves around iterative methods, using advanced techniques like variational iteration, homotopy perturbation, decomposition techniques, and quadrature formulae. 🔍 He has also explored multiplicative calculus and fractional calculus to enhance these methods, tackling complex problems across various disciplines. 🌐 Dr. Shah’s innovative approaches contribute significantly to the advancement of computational mathematics and problem-solving in applied sciences. 💡

Publication Top Notes📄✨

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 Darcy‐Forchheimer 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 nanoparticle’s radius with a significant magnetic field: The case of rotating micropolar fluid

Conclusion 🏆

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.

Juan Carlos Yácono Llanos | Nanomaterials | Nanomaterials Achievement

Mr Juan Carlos Yácono Llanos, Universidad de Lima, Peru

Juan Carlos Yácono Llanos is a distinguished researcher and educator specializing in metallurgical engineering, nanomaterials, and environmental sciences. Currently pursuing a Ph.D. in Engineering and Environmental Sciences (2025), he holds a Master’s in Metallurgical Engineering (2021) and over 30 years of academic experience at Universidad de Lima, where he serves as an Associate Professor. His research includes innovative material technologies, such as Ferrate(VI) applications, adsorption techniques, and magnetoluminescent compounds. A prolific author, his works focus on corrosion studies, phytochemical analyses, and sustainable technologies. Mr. Yácono is also an active contributor to professional committees and university initiatives. 🌟🧪📘

Educational Background 🎓

Juan Carlos Yácono Llanos has an impressive academic background in engineering and environmental sciences. He is currently a Ph.D. candidate in Engineering and Environmental Sciences at the Universidad Nacional Agraria La Molina, set to complete in 2025 🎓🌱. He earned a Master’s degree in Metallurgical Engineering from the Universidad Nacional de Ingeniería in 2021 🛠️📚. His journey in engineering began at the Universidad de Lima, where he achieved his Bachelor’s degree in Metallurgical and Steel Engineering in 1987 and later became a certified Metallurgical and Steel Engineer in 1992 🔧✨. His academic foundation fuels his groundbreaking research and teaching contributions.

Professional Experience and Contributions 💼

Juan Carlos Yácono Llanos has an extensive academic and professional career at the Universidad de Lima spanning decades. Currently an Associate Professor since 2022 🧑‍🏫✨, he has previously held roles as Assistant Professor from 1992 to 2021 and Teaching Assistant starting in 1987 📘. Beyond teaching, he manages laboratories in Chemistry (2023–present) and Environmental Engineering (2022–2023) 🔬🌿. He also chairs the Biological, Chemical, and Radiological Safety Committee (since 2024) 🛡️. Additionally, he oversees cost analysis for third-party testing services (2018–2022) and actively contributes to research and innovation since 1998 📊🔍, demonstrating his multifaceted expertise and dedication.

Research Focus Area 🌱🧬

Juan Carlos Yácono Llanos focuses his research on nanomaterials, sustainable technologies, and advanced materials characterization 🧪🔬. His work emphasizes the study of natural oils, such as Sacha Inchi and Aguaymanto, analyzing their phytochemical composition and quality markers 🌱🛢️. Additionally, he explores corrosion studies, innovative uses for agricultural residues, and the development of eco-friendly materials for agriculture and industry 🌍⚙️. His recent focus on ferrate synthesis and antioxidant activity reflects his commitment to sustainable practices and environmental impact 🧑‍🔧🌿. Through multidisciplinary research, he contributes to both environmental science and metallurgical engineering, combining expertise in chemistry and technology 🚀✨.

Conclusion 🔍

Given his substantial background in metallurgical engineering, nanomaterials research, and environmental applications, along with impactful academic and professional achievements, Mr. Juan Carlos Yácono Llanos is indeed well-suited for roles that demand expertise in nanomaterials research and innovation.