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Dr. Mahipal Jetta is an Associate Professor and Head of the Mathematics Department at Mahindra University’s École Centrale School of Engineering, with a Ph.D. in Mathematics from IIT Madras and research focused on partial differential equation (PDE)–based image processing and finite difference methods for differential equations. He teaches core courses such as Calculus, Linear Algebra, Complex Analysis, Numerical Methods, Probability and Statistics, and has introduced a specialized course on PDE‑based image processing at Mahindra University. His publications include work on fourth‑order nonlinear diffusion filters, speckle and multiplicative noise removal, and highly stable explicit and RBF‑FD schemes for nonlinear diffusion filters in journals like International Journal of M
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Mahipal Jetta
Associate Professor & HOD, Mathematics
Dr. Mahipal Jetta is an Associate Professor with École Centrale School of Engineering, Mahindra University. He has a Ph.D. from IIT Madras. His research focuses on Partial Differential Equations based Image Processing and Finite Difference Method for Differential Equations.
- Ph.D in Mathematics, IIT Madras, Chennai. (2009-14)
- M.Sc in Mathematics, IIT Madras, Chennai. (2007-09)
- B.Sc (M.P.C), Osmania University, Hyderabad. (2004-07)
- Yinukula, P., Jetta, M., Alugunuri, R., Panda, S., & Alam, M. (2025). “A Fractional-Order Telegraph Diffusion Model for Multiplicative Noise Removal.” In T.A. Bubba et al. (Eds.), Scale Space and Variational Methods in Computer Vision (SSVM 2025), Lecture Notes in Computer Science, Vol. 15667. Springer, Cham. https://doi.org/10.1007/978-3-031-92366-1_8
- Jetta, M., Singh, U., & Yinukula, P. (2023). “On Trainable Multiplicative Noise Removal Models.” In L. Calatroni et al. (Eds.), Scale Space and Variational Methods in Computer Vision (SSVM 2023), Lecture Notes in Computer Science, Vol. 14009. Springer, Cham. https://doi.org/10.1007/978-3-031-31975-4_7
- Sinha, S., Nethi, A., & Jetta, M. (2023). “Multiplicative Gaussian Noise Removal using Partial Differential Equations and Activation Functions: A Robust and Stable Approach.” Proceedings of the 7th International Conference on Algorithms, Computing and Systems (ICACS 2023), Larissa, Greece, pp. 161–170. https://doi.org/10.1145/3631908.3631931
- Jetta, M. (2020). “A Highly Stable Explicit Scheme for a Fourth-Order Nonlinear Diffusion Filter.” International Journal of Modeling, Simulation, and Scientific Computing, 11(4), 2050030. https://doi.org/10.1142/S1793962320500300
- Jetta, M., & Chirala, S. (2020). “On Multi-Quadric Based RBF-FD Method for Second-Order Diffusion Filters.” SN Computer Science, 1, 39. https://doi.org/10.1007/s42979-019-0046-4
- Jetta, M., & Chirala, S. (2020). “On Stability of Multi-quadric Based RBF-FD Method for a Second-Order Linear Diffusion Filter.” In D. Dutta & B. Mahanty (Eds.), Numerical Optimization in Engineering and Sciences, Advances in Intelligent Systems and Computing, Vol. 979. Springer, Singapore. https://doi.org/10.1007/978-981-15-3215-3_29
- Jetta, M., Nalluri, P., Dasari, P., & Hitesh, S. (2018). “Fourth Order Nonlinear Diffusion Filters for Multiplicative Noise Removal.” In A. Mansouri et al. (Eds.), Image and Signal Processing (ICISP 2018), Lecture Notes in Computer Science, Vol. 10884. Springer, Cham.
- Jetta, M., Iliyas, S. K., & Pranihith, T. (2017). “A Fourth Order Diffusion Filter for Speckle Noise Removal.” Proceedings of the International Conference on Video and Image Processing (ICVIP 2017), pp. 197–201, New York, NY, USA.
- ORCID Link: https://orcid.org/0000-0002-9621-2264
- June 2015- Present Associate Professor & HOD, Mathematics, Mahindra University
- Has been an instructor of Calculus, Linear Algebra, Complex Analysis, Numerical Methods, Probability and Statistics, at Mahindra University.
- Introduced a course on Partial Differential Equations based Image Processing.
- Taught two courses, Differential Equations, and Applied Numerical Methods for the undergraduate students at VIT University-Vellore (January, 2015- May, 2015).
- Taught a course on Differential Equations (MA2020) for the undergraduate students at IIT Madras (July, 2014- November, 2014)
- Tutorial Assistant for Numerical Methods and Scientific Computing (MA 5410), Probability and Statistics (MA 2040), Differential Equations (MA 2020), Functions of Several Variables (MA 1020), Programming Lab etc. during my doctoral study at IIT Madras.
- Tutorial Assistant for Advanced Mathematics Training (ATM) school on Differential Equations and Computing, held at JUIT Waknaghat, Himachal Pradesh. (2012)
- Partial Differential Equations (PDE) based Image Processing
- Finite Difference Method for Differential Equations