Zahoor shah | Mathematics | Best Researcher Award

Assist. Prof. Dr. Zahoor shah | Mathematics | Best Researcher Award

Assistant Professor at COMSATS University Islamabad, Pakistan.

Dr. Zahoor Shah ๐Ÿ‡ต๐Ÿ‡ฐ is a distinguished Assistant Professor at COMSATS University Islamabad, Pakistan ๐Ÿ›๏ธ. A gold medalist ๐Ÿฅ‡ in Computational Mathematics, he is a leading researcher in Artificial Intelligence ๐Ÿค–, Computational Fluid Dynamics ๐ŸŒŠ, and Bio-Mechanics ๐Ÿงฌ. With over 80+ publications in prestigious international journals ๐Ÿ“š and an impact factor exceeding 103 ๐Ÿ“ˆ, Dr. Shahโ€™s interdisciplinary research bridges mathematical modeling and machine learning. He is not only an educationist ๐Ÿ‘จโ€๐Ÿซ but also a climate activist ๐ŸŒฑ, youth leader ๐Ÿ‘ฅ, and seasoned speaker ๐ŸŽค. His contributions span academia, social development, and scientific innovation. As Chairman of the National Youth Parliament Pakistan ๐Ÿ‡ต๐Ÿ‡ฐ and a former director in media and health sectors ๐Ÿ“บ๐Ÿฅ, he blends scientific excellence with community engagement. His collaborations with international scholars in Taiwan, China, and Egypt ๐ŸŒ reflect a dynamic global presence, making him a top contender for the Best Researcher Award ๐Ÿ†.

Professional Profileย 

Suitability For Best Researcher Award – Assist. Prof. Dr. Zahoor shah

Dr. Zahoor Shah exemplifies the ideal profile of a top-tier interdisciplinary researcher. His combination of academic excellence, research innovation, and community leadership positions him as a strong candidate for the Best Researcher Award. With a research impact factor exceeding 103, over 80 international publications, and pioneering work at the intersection of Artificial Intelligence, Fluid Dynamics, and Bio-Mechanics, he brings both depth and breadth to his research agenda. Moreover, his global collaborations and youth empowerment initiatives reflect a commitment to knowledge dissemination beyond academia.

Educationย 

Dr. Zahoor Shahโ€™s academic journey reflects deep dedication to applied mathematics and computational sciences ๐Ÿ“๐Ÿ“Š. He earned his Ph.D. in Computational Mathematics from Mohi Ud Din Islamic University, AJ&K, in 2021 ๐Ÿฅ‡, graduating with a Gold Medal ๐Ÿ…. His thesis focused on the โ€œDesign and Applications of Stochastic Numerical Solver for the Solution of Non-Linear Fluidic Systemsโ€ ๐Ÿงช. He also holds a Master of Science in Mathematics from International Islamic University Islamabad (2010) ๐ŸŽ“, where he specialized in Applied Mathematics, Numerical Analysis, ODEs/PDEs, and Mathematical Modeling ๐Ÿง . His foundational studies began with a Bachelor of Science in Mathematics from the University of the Punjab, Lahore (2006) ๐Ÿ“–. With strong command over programming and simulation tools like Matlab, Mathematica, and Python ๐Ÿ’ป, Dr. Shahโ€™s academic foundation provides the backbone for his pioneering AI-based research in fluid dynamics and bio-mechanics ๐ŸŒก๏ธโš™๏ธ.

Experienceย 

Dr. Shah brings over a decade of versatile teaching and research experience ๐Ÿง‘โ€๐Ÿซ๐Ÿ“š. He is currently serving as an Assistant Professor at COMSATS University Islamabad (2013โ€“present) ๐Ÿ›๏ธ, where he teaches core mathematics, computational modeling, and AI applications to undergraduate and graduate students ๐Ÿ“˜๐Ÿ‘จโ€๐ŸŽ“. He has also held academic positions at Allama Iqbal Open University, Federal Urdu University, Foundation University, and International Islamic University Islamabad ๐Ÿ“. Beyond academia, he served as Director at AVT Channels Pvt Ltd (2013โ€“2019) ๐Ÿ“บ, contributing to public awareness through health and education campaigns. As a member of statutory bodies, registrar committees, and course development teams ๐Ÿ—‚๏ธ, he has influenced institutional strategy and academic policy. His teaching includes applied mathematics, differential equations, and neural network modeling ๐Ÿงฎ, preparing future researchers in the intersection of AI and fluid mechanics ๐ŸŒŠ๐Ÿค–.

Professional Developmentย 

Dr. Zahoor Shah has continually advanced his professional skill set through international fellowships, editorial roles, and youth leadership ๐ŸŒ๐Ÿ“ˆ. He is an alumnus of the Nasser Fellowship for International Youth Leadership in Egypt (2021) ๐Ÿ‡ช๐Ÿ‡ฌ and represented Pakistan in the International Congress for Youth & Rural Development in Russia (2019) ๐Ÿ‡ท๐Ÿ‡บ. His involvement in international conferences has led to global collaborations in Taiwan, China, and the Middle East ๐ŸŒ. He is a reviewer for prestigious journals like Tribology International, Scientific Reports, and Results in Chemistry ๐Ÿ“‘, reflecting his academic influence. As Chairman of the National Youth Parliament Pakistan ๐Ÿ›๏ธ, he combines academic leadership with civic engagement. He has supervised multiple Ph.D. and MPhil students ๐ŸŽ“ and contributed to curriculum innovation. With a professional portfolio blending AI expertise, teaching, and public service ๐Ÿค, Dr. Shah exemplifies holistic academic growth and leadership.

Research Focus

Dr. Shahโ€™s research focuses on the intersection of Artificial Intelligence (AI) ๐Ÿค–, Non-Newtonian Fluid Mechanics ๐ŸŒŠ, Computational Fluid Dynamics (CFD) ๐Ÿ’ป, and Bio-mechanics ๐Ÿงฌ. His primary goal is to develop AI-enhanced numerical solvers, especially neural networks like the Levenbergโ€“Marquardt algorithm, for solving nonlinear differential equations and simulating complex fluidic phenomena โš™๏ธ. His work has broad applications in biomedical engineering, nanotechnology, environmental fluid flows, and renewable energy systems ๐ŸŒก๏ธ๐Ÿ”‹. He is particularly known for his contributions to magneto-nanofluidic models, blood flow modeling, and thermodynamic optimization. These models are applied in industrial, medical, and environmental settings, making his research highly impactful ๐ŸŒ. With over 80 high-quality publications in leading journals ๐Ÿงพ, his interdisciplinary focus brings innovation to both theoretical and applied sciences, blending mathematical rigor with AI-driven insight ๐Ÿง ๐Ÿ“ˆ. His ongoing projects include bio-convective analysis, entropy generation, and climate-related fluid simulations ๐ŸŒฟ.

Research Skills

Dr. Shahโ€™s research skillset is a powerful blend of mathematical modeling ๐Ÿงฎ, artificial intelligence ๐Ÿค–, and computational simulations ๐Ÿ–ฅ๏ธ. He specializes in stochastic numerical analysis, designing solvers for nonlinear fluid flow models using neural network algorithms such as Levenbergโ€“Marquardt, Bayesian Regularization, and Nonlinear Autoregressive methods ๐Ÿ“‰. He has deep expertise in software platforms including Matlab, Mathematica, and Python ๐Ÿ”ง, enabling him to simulate highly complex fluid and thermal systems like MHD, Casson, and Eyring-Powell models ๐Ÿ”ฌ. His AI skills are applied to biomedical fluid modeling, pollutant transport, and hybrid nanofluid systems used in emerging technologies ๐Ÿ’ก. He integrates AI with entropy generation, thermal radiation, bioconvection, and chemical reaction modeling, producing solutions applicable in healthcare, energy, and environmental sectors โš—๏ธ๐ŸŒก๏ธ๐ŸŒŽ. His innovative skills in deep learning, supervised/unsupervised computing, and AI-enhanced differential solvers place him at the frontier of scientific computing ๐Ÿ”๐Ÿ“Š.

Awards & Honorsย 

Dr. Zahoor Shah has earned several accolades for his research and leadership contributions ๐Ÿ…๐ŸŽ“. He was awarded the Gold Medal ๐Ÿฅ‡ in his Ph.D. for academic excellence in Computational Mathematics. Internationally, he was honored as the Best Diplomat by the Government of Egypt ๐Ÿ‡ช๐Ÿ‡ฌ for his role in global youth leadership during the Nasser Fellowship. As Chairman of the National Youth Parliament Pakistan ๐Ÿ‡ต๐Ÿ‡ฐ, he has been recognized for combining science with policy advocacy and public engagement ๐Ÿ‘. His peer recognition includes appointments as Reviewer for top-tier journals like Tribology International, Scientific Reports, Results in Chemistry, and others ๐Ÿงพ. These roles demonstrate his scholarly influence and standing within the research community ๐ŸŒ. His research has received consistent citations and commendations, further solidifying his reputation as a high-impact researcher contributing to global scientific development ๐ŸŒ.

Publication Top Notes

1. Multilayer Deep-Learning Intelligent Computing for the Numerical Analysis of Unsteady Heat and Mass Transfer in MHD Carreau Nanofluid Model
  • Journal: Case Studies in Thermal Engineering

  • Publication Date: Dec 2024

  • DOI: 10.1016/j.csite.2024.105369

  • Authors: Zahoor Shah, Mohammed Alreshoodi, Muhammad Asif Zahoor Raja, Hamza Iqbal, Hamid Qureshi

  • Citation Count: 6

  • Summary:
    This study presents a multi-layer deep learning framework to simulate and analyze unsteady heat and mass transfer in magnetohydrodynamic (MHD) Carreau nanofluids. The intelligent system captures nonlinearities in velocity, temperature, and concentration profiles under external magnetic and thermal influences. The model demonstrates good accuracy and generalization for engineering applications.

2. Machine Learning Investigation for Tri-Magnetized Sutterby Nanofluidic Model with Joule Heating in Agrivoltaics Technology
  • Journal: Nano

  • Publication Date: 30 July 2024

  • DOI: 10.1142/S1793292024500589

  • Authors: Hamid Qureshi, Zahoor Shah, Muhammad Asif Zahoor Raja, Muhammad Shoaib, Waqar Azeem Khan

  • Citation Count: 17

  • Summary:
    This research applies machine learning to model the behavior of a tri-magnetized Sutterby nanofluid influenced by Joule heating, particularly in the context of agrivoltaics systems. The approach blends AI with physical modeling to optimize energy transfer, thermal regulation, and fluid motion in hybrid agriculturalโ€“solar energy environments.

3. Numerical analysis of heat and mass transfer in Eyringโ€“Powell fluid employing Python with convective boundary conditions
  • Journal: Case Studies in Thermal Engineering

  • DOI: 10.1016/j.csite.2025.106546

  • Publication Date: September 2025

  • Authors: Chenxu Duan, Muflih Alhazmi, Zahoor Shah, Hamza Iqbal, Maryam Jawaid, Mhassen E.E. Dalam, Mohammed M.A. Almazah

  • Summary:
    This paper presents a numerical study using Python for simulating heat and mass transfer in Eyringโ€“Powell fluids under convective boundary conditions. It emphasizes the impact of fluid properties and external conditions on transport phenomena.

4. Machine learning investigation through Python for thermophoretic deposition with radiation on thermal mass transfer of trihybrid nanofluid across sharp dynamics
  • Journal: International Journal of Geometric Methods in Modern Physics

  • DOI: 10.1142/S0219887825500276

  • Publication Date: June 2025

  • Authors: Hamid Qureshi, Zahoor Shah, Muhammad Asif Zahoor Raja, Waqar Azeem Khan, Yasser Elmasry

  • Summary:
    This study combines Python-based machine learning with thermodynamic modeling to explore thermophoretic deposition and radiative effects on trihybrid nanofluid heat transfer.

5. Artificial neural network model for convectively heated Casson fluid with the appliance of solar energy
  • Journal: International Journal of Geometric Methods in Modern Physics

  • DOI: 10.1142/S0219887825500112

  • Publication Date: May 2025

  • Authors: Hamid Qureshi, Zahoor Shah, Muhammad Asif Zahoor Raja, Waqar Azeem Khan, Mehboob Ali, Yasser Elmasry

  • Summary:
    Introduces an ANN framework for simulating the thermal performance of Casson fluid under convective heating, incorporating solar energy influences.

6. Design of Nonlinear Autoregressive Neuro-Computing Structure for Bioconvective Micropolar Nanofluidic Model
  • Journal: Nano

  • DOI: 10.1142/S1793292024500462

  • Publication Date: April 2025

  • Authors: Zahoor Shah, Attika Jamil, Muhammad Asif Zahoor Raja, Muhammad Shoaib, Adiqa Kausar Kiani

  • Summary:
    Proposes a neuro-computational architecture for solving micropolar nanofluid models with bioconvection effects, using nonlinear autoregressive networks.

Conclusion

Dr. Zahoor Shahโ€™s academic rigor, groundbreaking research in computational modeling, and sustained community impact make him a highly deserving candidate for the Best Researcher Award. His profile demonstrates not only scholarly excellence but also a rare blend of innovation, leadership, and global influenceโ€”hallmarks of a truly distinguished researcher.

Hassan Shahzad | Mathematics | Best Scholar Award

Mr. Hassan Shahzad | Mathematics | Best Scholar Award

Academic Officer at Department of mathematics, Capital University of Science and Technology, Islamabad, Pakistan.

Hassan Shahzad, an MPhil graduate in Mathematics from Capital University of Science and Technology (CUST), Islamabad, specializes in applied and computational mathematics. With a strong academic background, he was recognized on the Deanโ€™s Honor Roll and actively contributes to research, having published one article and several under review. Hassan is proficient in MATLAB, LaTeX, C, and C++, showcasing adaptability in interdisciplinary collaborations. Currently serving as an Academic Officer in the Department of Mathematics at CUST, he previously worked as a mathematics teacher in reputable institutions. His long-term ambition is to be among the top 2% of researchers globally.

Professional Profile:

ORCID Profile

Education ๐ŸŽ“๐Ÿ“–

  • MPhil in Mathematics (2021-2024) โ€“ CUST, Islamabad
    • Courses: Heat and Mass Transfer, Computational Fluid Dynamics, Electromagnetic Wave Theory, Perturbation Method, General Relativity
  • BS in Mathematics (2016-2020) โ€“ International Islamic University, Islamabad
    • Courses: Complex Analysis, Fluid Mechanics, Numerical Methods, Real & Functional Analysis, Differential Geometry

Experience ๐Ÿ’ผ๐Ÿ“Š

  • Academic Officer (2024-Present) โ€“ Capital University of Science and Technology
    • Managed course allocation, academic scheduling, and student concerns
    • Organized the Annual Mathematics Conference and facilitated departmental communication
  • Senior Mathematics Teacher (2022-2024) โ€“ Aamirr Public School, Rawalpindi
    • Developed instructional materials and taught high school Mathematics
  • Mathematics Teacher (2020-2021) โ€“ International Public School, Rawalpindi
    • Designed lesson plans and evaluated studentsโ€™ academic progress

Professional Development ๐Ÿš€๐Ÿ“š

Hassan Shahzad continuously enhances his expertise through professional training and research engagements. He has completed multiple online courses, including Engineering Mechanics, FEM Analysis, and Real Numbers and Monomials. His role as an Academic Officer has further honed his skills in academic administration, conference organization, and departmental coordination. Passionate about numerical computing, he is proficient in MATLAB, LaTeX, and C++, enabling him to tackle complex mathematical problems. Actively involved in research, he collaborates with scholars to explore new mathematical models and techniques. His dedication to professional growth and interdisciplinary collaboration defines his academic and research journey.

Research Focus ๐Ÿ”ฌ๐Ÿ“Š

Hassan Shahzad specializes in applied and computational Mathematics , particularly in heat and mass transfer, fluid dynamics, and entropy analysis. His research explores non-Newtonian fluid models, hybrid nanofluids, and magnetohydrodynamics (MHD). He applies numerical techniques such as finite difference methods, perturbation methods, and boundary value problem-solving for real-world applications. His studies involve entropy generation, Cattaneoโ€“Christov heat flux, and electromagnetic wave interactions in fluid flows. His work aims to optimize heat and mass transfer processes in engineering and medical applications. With multiple publications and ongoing research, he strives to contribute significantly to computational fluid dynamics and thermal sciences.

Honors & Awards ๐Ÿ†๐ŸŽ–

  • Certificate of Excellence (2025) โ€“ Recognized for organizing the CUST Annual Conference on Mathematics
  • Certificate of Participation (2023) โ€“ Participated in the CUST Annual Conference on Mathematics
  • Deanโ€™s Honor Roll (Spring 2022) โ€“ Awarded for academic excellence at CUST

Publication Top Notes

  • Forchheimer model and generalized Fourier and Fick heat flux in water-based Williamson hybrid nanofluid flow over a stretched surface under Lorentz force
    ๐Ÿ“… Year: 2024
    โœ๏ธ Authors: Hassan Shahzad, M. Sagheer
    ๐Ÿ”— DOI: 10.1088/1402-4896/ada31f
    ๐Ÿ“– Journal: Physica Scripta

  • Cattaneoโ€“Christov double diffusion model for the entropy analysis of a non-Darcian MHD Williamson nanofluid
    ๐Ÿ“… Year: 2024
    โœ๏ธ Authors: Muhammad Sagheer, Z. Sajid, Shafqat Hussain, H. Shahzad
    ๐Ÿ”— DOI: 10.1080/10407782.2024.2380365
    ๐Ÿ“– Journal: Numerical Heat Transfer, Part A: Applications