Maham Mujahid | Applied Mathematics | Best Researcher Award

Ms. Maham Mujahid | Applied Mathematics | Best Researcher Award

The Islamia University of Bahwalapur | Pakistan

Ms. Maham Mujahid is a mathematics researcher whose work centers on advanced fluid mechanics, with a particular emphasis on viscous and non-Newtonian fluid flows, nanofluid behavior, heat and mass transfer processes, and rheological analysis in complex geometries such as corrugated and curved channels. Her research integrates analytical and computational techniques, including perturbation methods and numerical simulations, to investigate pressure-driven flows, magnetized and hybrid nanofluids, nonlinear fluid models, slip and convective constraints, porous media effects, and entropy production in multiphase or biological flow environments. She has contributed significantly to the understanding of transport phenomena by publishing in high-impact international journals, covering themes such as Casson, Jeffrey, and Carreau-type fluids, thermal radiation, viscous dissipation, permeability, and metachronal wave motion. Her scholarly contributions also extend to hybrid nanofluid modeling based on Yamada–Ota and Xue frameworks, demonstrating her command of emerging areas in thermofluid systems. Alongside her research activities, she has gained substantial teaching experience at both undergraduate and graduate levels in courses related to calculus, linear algebra, integral equations, differential equations, numerical analysis, and fluid mechanics, consistently integrating theoretical knowledge with practical scientific applications. She is skilled in Mathematica, MATLAB, and various computational and productivity tools, enabling precise modeling, visualization, and academic communication. Her broader interests include computational fluid dynamics, non-Newtonian rheology, and the study of thermal and multiphase transport in engineered and natural systems, reflecting a strong commitment to advancing mathematical and physical sciences through research, teaching, and continuous professional development.

Profiles: Scopus | Google Scholar

Featured Publications

Mujahid, M., Abbas, Z., & Rafiq, M. Y. (2024). A study on the pressure‐driven flow of magnetized non‐Newtonian Casson fluid between two corrugated curved walls of an arbitrary phase difference. Heat Transfer, 53(8), 4510–4527.

Mujahid, M., Abbas, Z., & Rafiq, M. Y. (2024). Rheological study of water-based Cu nanofluid between two corrugated curved walls under constant pressure gradient. Alexandria Engineering Journal, 106, 691–703.

Mujahid, M., Abbas, Z., & Rafiq, M. Y. (2025). Flow of hybrid nanofluids between two permeable corrugated curved walls using Yamada–Ota and Xue models with variable viscosity. Physics of Fluids, 37(2).

Mujahid, M., Abbas, Z., & Rafiq, M. Y. (2024). Rheological analysis of pressure-driven Jeffrey fluid flow between corrugated porous curved walls with slip constraints. AIP Advances, 14(9).

Rafiq, M. Y., Abbas, Z., Munawar, F., Mujahid, M., & Durrani, A. (2025). Exploring entropy production in metachronal wave motion of Carreau fluid in a channel under lubrication hypothesis. International Journal of Thermofluids, 27, 101198.

Komal Bansal | Mathematical Modeling | Women Researcher Award

Dr. Komal Bansal | Mathematical Modeling | Women Researcher Award

Assistant professor at Chandigarh University, India

Dr. Komal Bansal is currently serving as an Assistant Professor of Mathematics at the Centre for Distance and Online Learning, Chandigarh University, Mohali. She earned her Ph.D. in Mathematics from BITS Pilani (2019–2024), with a thesis titled “Socioeconomic and Epidemiologic Modeling: A Fractional Differintegral Approach.” She holds an M.Sc. in Mathematics from Guru Jambheshwar University of Science & Technology (2018) and a B.Sc. from Maharshi Dayanand University (2016).

Profile:

🎓 Academic Journey:

  • Ph.D. in Mathematics (2019–2024)
    BITS Pilani, Rajasthan
    Thesis: Socioeconomic and Epidemiologic Modeling: A Fractional Differintegral Approach

  • M.Sc. Mathematics (2016–2018)
    Guru Jambheshwar University of Science & Technology, Hisar
    📈 Marks: 85.07%

  • B.Sc. (2013–2016)
    Government College Birohar, MDU Rohtak
    📊 Marks: 74.6%

🔬 Research Interests:

  • Fractional Calculus & Differential Equations

  • Delay Differential Equations

  • Mathematical Modeling in epidemiology, crime, social media, economics

  • Stability & Bifurcation Analysis

🏅 Achievements:

  • CSIR-UGC JRF/NET Qualified in Mathematical Sciences

  • 🏆 Best Paper Presentation – AMSE 2022

💻 Skills & Tools:

  • MATLAB | LaTeX

  • Expertise in Linear Algebra, Differential Equations, and Fractional Models

🌍 Conference & Workshop Participation:

  • Speaker/Presenter at top conferences: ICFC, ADENA, FPAS, AMSE

  • Attended numerous FDPs and workshops on fractional calculus, AI, optimization, and pedagogies

📊 Citation Metrics: 

  • Citations: 89

  • h-index: 6

  • i10-index: 3

Publication Top Notes:

  • Dynamics of crime transmission using fractional-order differential equations
    K. Bansal, S. Arora, K.S. Pritam, T. Mathur, S. Agarwal
    Fractals, 30(1), 2250012(1–16), 2022.

  • Analysis of illegal drug transmission model using fractional delay differential equations
    K. Bansal, T. Mathur, N.S.S. Singh, S. Agarwal
    AIMS Mathematics, 7(10), 18173–18193, 2022.

  • Fractional-order crime propagation model with non-linear transmission rate
    K. Bansal, T. Mathur, S. Agarwal
    Chaos, Solitons & Fractals, 169, 113321, 2023.

  • Impact of social media on academics: A fractional-order mathematical model
    K. Bansal, T. Mathur, T. Mathur, S. Agarwal, R.D. Sharma
    International Journal of Modelling and Simulation, 1–15, 2023.

  • The LADM approach to analyze the fractional-order model for smoking habits including memory
    K. Bansal, T. Mathur, S. Agarwal
    AIP Conference Proceedings, 2819(1), 040007, 2023.

  • Modeling crime transmission with fear effect: A fractional-order approach for effective crime control strategies
    K. Bansal, T. Mathur, S. Agarwal
    The Journal of Analysis, 1–21, 2024.

  • Impact of skills development on youth unemployment: A fractional-order mathematical model
    K. Bansal, T. Mathur
    Mathematical Methods in the Applied Sciences, 14286–14303, 2024.

  • LVIM approach to analyse the fractional-order model for childhood diseases
    N. Pareek, K. Bansal, A. Gupta, R. Mathur, T. Mathur, S. Agarwal
    Journal of Health Management, 26(4), 624–631, 2024.

  • Sensitivity analysis of fractional-order SVEIR lumpy skin disease model
    S. Rathee, Y. Narwal, K. Bansal, H. Emadifar
    Alexandria Engineering Journal, 119, 609–622, 2025.

  • Ordinary differential equations: Principles, techniques, and contemporary perspectives
    K. Bansal
    Notion Press. ISBN: 979-8896997016, 2025.

  • Analyzing unemployment dynamics: A fractional-order mathematical model
    S. Rathee, Y. Narwal, K. Bansal, T. Mathur, H. Emadifar
    Mathematical Methods in the Applied Sciences, 2025.

  • Fractional-order crime propagation model: A comparison between logistic and exponential growth
    K. Bansal, T. Mathur
    Ricerche di Matematica, 1–19, 2024.