0000-0003-0378-7171 About
Professor and Head, Department of Mathematics at Poornima Institute of Engineering & Technology Jaipur. She received her Ph.D. from the Department of mathematics, University of Rajasthan, Jaipur in the field of Fluid Mechanics. Her research covers a broad range of topics, including fluid mechanics, nanofluid dynamics, heat and mass transfer, hydrodynamic stability, dynamical systems, bio-mathematics and computational mathematics, and improved perturbation techniques. She has 24 years of teaching as well administrative experience in various engineering colleges. She has published more than 70 SCI/Scopus research papers in the last few years. Prof. Mathur is on the editorial board of several reputable academic journals and also served as a reviewer for many reputable international academic journals worldwide She also has to credit more than 4 books on Engineering Mathematics. She has presented many papers at International and National conferences. She has received a grant for a project from RTU Kota under TEQIP-III and a fellowship from INAE for the year 2019- 2020. She also received a “Ridiculously Committed Mentor Award” from EDUREKA in the year 2018 at the National level. She has given expert lectures/Invited talks in various FDPs conducted nationally. Eager to teach and pass on knowledge, highly motivated, reliable, dedicated, innovative, and student-oriented teacher, active personality with strong analytical and problem-solving skills. Got a letter of appreciation from the Poornima Foundation, Jaipur for giving Excellent results in the university examination almost every year.
Employment
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Poornima College of Engineering Professor2001 - Present
Education
Education history is unavailable.
Projects & Funding
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Publications (101)
- Darcy-Forchheimer inertial drag with the chemical reaction effect on the radiative micropolar fluid flow over a curved stretching sheet Save
- Predictive design using physics-informed neural network for the bioconvection of an electrically conducting casson hybrid nanofluid with heat and mass flux model Save
- Data-efficient neuroimaging classification via Wasserstein Autoencoder–based augmentation and hybrid deep learning Save
- Physics-informed neural network analysis of radiative MHD mixed convection in reactive nanofluid slip flow over a moving vertical plate Save
- Artificial neural network prediction on motile microorganism behavior during heat transfer in MHD micropolar bioconvective nanofluids Save
- Optimizing Nusselt number for the utilization of response surface methodology in a hybrid nanofluid flow of viscoelastic fluid over an expanding surface with dissipative heat and classical fourier heat flux Save
- Impact of Darcy–Forchheimer Inertial Drag and Heat Dissipation on Micropolar Hybrid Nanofluid Flow via Expanding Surface Save
- Deep Learning-Based Brain Tumor Segmentation in FLAIR 3D MRI Using U-Net Architecture Save
- Learning heat: High-fidelity experimental and Koo–Kleinstreuer–Li thermal conductivity predictions in nanofluids via advanced data augmentation and metaheuristic search Save
- An advanced artificial intelligence framework integrating ensembled convolutional neural networks and Vision Transformers for precise soil classification with adaptive fuzzy logic-based crop recommendations Save