Research associate, Zhejiang University, China
Dr. Umar Farooq is a dedicated researcher in Applied Mathematics, with specialization in fluid mechanics, biomechanics, neural networks, and energy systems. His extensive research portfolio demonstrates a command over complex simulations and modeling techniques that target biomedical and industrial applications. Known for his interdisciplinary insight and scientific rigor, he has authored multiple high-impact publications as first and corresponding author. His academic path is defined by international collaboration, progressive research, and technical innovation rooted in real-world relevance.
Profile
Orcid
Education 🎓
Dr. Farooq received his PhD in Mathematics (2020–2024) from COMSATS University Islamabad, where he focused on the numerical simulation of non-similar boundary layer equations in bioconvection fluids. His doctoral work integrated fluid mechanics with AI-based computational tools, offering new perspectives in thermal and biological fluid systems. He completed his MS in Mathematics (2017–2019) from the same institution, working on waveguide reflection fields. He earned his BS (Hons) in Mathematics from Government College University Faisalabad (2013–2017), establishing a strong base in analytical methods. His earlier academic background includes Pre-Engineering from Government Post Graduate College Jhang and secondary education in the sciences from The Nation Boys Higher Secondary School Jhang.
Experience 💼
Dr. Farooq has a well-rounded portfolio of academic and research roles. He served as a Research Fellow at Zhejiang University, China, working at the State Key Laboratory of Fluid Power & Mechatronic Systems under funded projects from NSFC and Zhejiang province. He also engaged in research collaboration with Taif University, Saudi Arabia, advancing developments in mechanical and thermal systems. He has worked as a Research Associate (2021–2024), Lecturer (2019–2020), and Teaching Assistant (2017–2019) at COMSATS University Islamabad, contributing to both teaching and high-level research. His experience is further strengthened by skills in advanced simulation tools including MATLAB, ANSYS, COMSOL, Star CCM+, and Python.
Research Interests 🔬
Dr. Umar Farooq’s research focuses on modeling nanofluid behavior in fluid mechanics and biomechanics, particularly for industrial and biomedical applications. He integrates artificial neural networks (ANNs), CNNs, and RNNs to enhance prediction and analysis in fluid systems. His work in thermal analysis improves heat transfer in electronics and vehicles, while his contributions to energy systems support the use of nanofluids in renewable technologies. He also explores industrial applications, optimizing energy and flow efficiency in various engineering domains.
Awards 🏆
Dr. Farooq was awarded the Punjab Educational Endowment Fund (PEEF) scholarship during his MS at COMSATS University. He was also selected for prestigious international research fellowships at Zhejiang University, supported by major national science foundations. These honors reflect his academic excellence and potential for future scientific contributions.
Publications 📚
MHD stagnation point flow of Casson hybrid nanofluid with bioconvection… (2025, International Journal of Heat and Mass Transfer) – Cited by [X articles].
Aircraft Thermal Enhancement via TiO₂/SiO₂ Nanofluids… (2025, Solar Energy Materials and Solar Cells) – Cited by [X articles].
Thermal analysis of Reiner-Philippoff fluid flow… (2025, Journal of Thermal Analysis and Calorimetry) – Cited by [X articles].
Radiative-Dissipative Effects on Bioconvective MHD Flow… (2025, Journal of Biological Physics) – Cited by [X articles].
Non-similar analysis of bioconvection MHD micropolar nanofluid… (2024, Applied Water Science) – Cited by [X articles].
Boundary Layer Analysis of Magnetic Nanofluid Flow… (2024, BioNanoScience) – Cited by [X articles].
Computational simulations of radiative magnetic micropolar nanofluid… (2024, International Journal of Ambient Energy) – Cited by [X articles].
Conclusion
Dr. Umar Farooq exemplifies the integration of mathematical precision and engineering innovation. His contributions span theoretical modeling, computational simulations, and machine learning applications in dynamic fluid systems. Through academic diligence and cross-disciplinary collaboration, he has emerged as a promising figure in modern applied mathematics. With a trajectory pointing toward continuous growth and innovation, Dr. Farooq remains committed to using his expertise for both academic enrichment and practical impact in science and technology.