Dr . Lakshmi Narayan Mishral | Mathematics | Best Researcher Award
Assistant Professor Senior Grade 2, Vellore Institute of Technology, Vellore, Tamil Nadu, Vellore, India.
Dr. Lakshmi Narayan Mishra is a distinguished scholar in the field of mathematics, currently serving as a faculty member at the Vellore Institute of Technology, India. With a Ph.D. focused on nonlinear integral equations, his research spans various areas, including neural networks, fractional calculus, and optimization. Dr. Mishra has published extensively, contributing to numerous peer-reviewed journals and focusing on topics such as existence theorems and approximation theory. He has supervised multiple Ph.D. candidates, demonstrating a commitment to fostering the next generation of researchers. His work is recognized for its practical applications in areas like dynamic programming and signal processing. Despite his significant achievements, there are opportunities for Dr. Mishra to enhance his interdisciplinary collaboration and increase his visibility in global academic forums. Overall, his contributions to mathematics and dedication to research and education position him as a strong candidate for the Best Scholar Award.
Current Position
Dr. Lakshmi Narayan Mishra currently serves as a faculty member in the Department of Mathematics at the Vellore Institute of Technology (VIT) in Vellore, Tamil Nadu, India. Since May 2018, he has been involved in both teaching and research, contributing significantly to various areas of mathematics, particularly in neural networks, fractional calculus, and nonlinear analysis. His extensive research background includes a Ph.D. focused on nonlinear integral equations, and he has authored numerous publications in reputable journals. Dr. Mishra is dedicated to advancing mathematical knowledge and mentoring students, supervising several Ph.D. candidates in their research pursuits. He is actively engaged in academic activities and is well-respected in the mathematical community for his expertise and contributions to the field. His commitment to research excellence and education underscores his role as a valuable asset to VIT and the broader academic community.
Dr. Lakshmi Narayan Mishra has a diverse academic background and extensive experience in teaching and research. He began his career as a lecturer at Mody University of Science and Technology, where he taught undergraduate and postgraduate students. Subsequently, he served as an Assistant Professor at Lovely Professional University, engaging in both teaching and research activities. Since May 2018, Dr. Mishra has been a faculty member at the Vellore Institute of Technology, contributing to the Department of Mathematics. In addition to his teaching roles, he has been involved in supervising several Ph.D. candidates, guiding them in their research projects. His previous experience includes working as a research scholar at the National Institute of Technology, Silchar, where he deepened his expertise in nonlinear analysis, approximation theory, and fractional calculus. Dr. Mishra’s broad academic exposure equips him with valuable insights into the evolving landscape of mathematical research and education.
Dr. Lakshmi Narayan Mishra has an impressive educational background in mathematics. He completed his Bachelor of Science in 2010 and Master of Science in Mathematics in 2012, both from Dr. Ram Manohar Lohia Avadh University, Ayodhya. He then pursued his Ph.D., focusing on nonlinear integral equations and their applications, which he completed in February 2017 at the National Institute of Technology, Silchar. His doctoral research, titled “On existence and behavior of solutions to some nonlinear integral equations with applications,” showcases his deep understanding of advanced mathematical concepts. Dr. Mishra’s academic journey reflects his dedication to the field, reinforced by various research interests, including neural networks, fractional calculus, and nonlinear analysis. His educational qualifications provide a strong foundation for his ongoing contributions to mathematical research and teaching, positioning him as a prominent figure in his area of expertise.
Dr. Lakshmi Narayan Mishra’s research primarily focuses on various advanced topics in mathematics, including neural networks, fractional calculus, and nonlinear integral equations. His work explores the existence and behavior of solutions to nonlinear integral equations, emphasizing applications in fields like dynamic programming and optimization. He also investigates fixed-point theory and approximation theory, contributing significantly to the understanding of numerical solutions in fractional differential equations. Additionally, Dr. Mishra’s research extends to areas such as measure of noncompactness, Banach algebra, and operator theory, which play crucial roles in the analysis of functional equations. His interdisciplinary approach not only enhances theoretical frameworks but also facilitates practical applications in signal processing, image analysis, and optimization problems, showcasing the versatility and relevance of his work in contemporary mathematical research. Through his publications and ongoing Ph.D. supervision, Dr. Mishra continues to inspire and guide emerging scholars in the field.
Dr. Lakshmi Narayan Mishra has made significant professional contributions in the field of mathematics, particularly in areas such as neural networks, fractional calculus, and nonlinear integral equations. He has published extensively in peer-reviewed journals, with a focus on the existence and behavior of solutions to complex mathematical equations, which has advanced understanding in both theoretical and applied mathematics. Dr. Mishra’s work in approximation theory and functional analysis demonstrates his commitment to tackling challenging problems, leading to innovative solutions that have practical applications in various fields, including dynamic programming and signal processing. As a dedicated educator, he has supervised multiple Ph.D. candidates, fostering the next generation of mathematicians. His involvement in academic collaborations, along with his active participation in conferences and seminars, further underscores his commitment to the mathematical community. Overall, Dr. Mishraโs contributions reflect a profound impact on both research and education in mathematics.
Dr. Lakshmi Narayan Mishra is a commendable candidate for the Best Scholar Award, showcasing a robust academic and research background in mathematics. His impressive educational qualifications, culminating in a Ph.D. focused on nonlinear integral equations, reflect his expertise in a diverse range of specializations, including neural networks and fractional calculus. Dr. Mishraโs substantial publication record, featuring numerous articles in reputable journals, demonstrates his commitment to advancing mathematical research. His effective supervision of Ph.D. candidates further illustrates his dedication to nurturing the next generation of scholars. While he exhibits significant strengths in research productivity and mentorship, there are opportunities for improvement, such as enhancing interdisciplinary collaborations and seeking external funding for research projects. In conclusion, Dr. Mishraโs scholarly contributions and potential for growth make him a deserving candidate for the Best Scholar Award, recognizing his valuable impact on the academic community and the field of mathematics.
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- Attributes of residual neural networks for modeling fractional differential equations
- Authors: Agarwal, S., Mishra, L.N.
- Year: 2024
- Citations: 0
- A comprehensive analysis for weakly singular nonlinear functional Volterra integral equations using discretization techniques
- Authors: Bhat, I.A., Mishra, L.N., Mishra, V.N., Abdel-Aty, M., Qasymeh, M.
- Year: 2024
- Citations: 2
- A comparative study of discretization techniques for augmented Urysohn type nonlinear functional Volterra integral equations and their convergence analysis
- Authors: Bhat, I.A., Mishra, L.N.
- Year: 2024
- Citations: 6
- Convergence analysis of modified Szรกsz operators associated with Hermite polynomials
- Authors: Kumar, A., Verma, A., Rathour, L., Mishra, L.N., Mishra, V.N.
- Year: 2024
- Citations: 2
- Precision and efficiency of an interpolation approach to weakly singular integral equations
- Authors: Bhat, I.A., Mishra, L.N., Mishra, V.N., Tunรง, C., Tunรง, O.
- Year: 2024
- Citations: 9
- Approximation on bivariate of Durrmeyer operators based on beta function
- Authors: Raiz, M., Rajawat, R.S., Mishra, L.N., Mishra, V.N.
- Year: 2024
- Citations: 4
- Analysis of efficient discretization technique for nonlinear integral equations of Hammerstein type
- Authors: Bhat, I.A., Mishra, L.N., Mishra, V.N., Tunc, C.
- Year: 2024
- Citations: 0
- Some Approximation Properties Of A Certain Summation Integral Type Operator
- Authors: Maindola, S., Gairola, A.R., Rathour, L., Mishra, L.N.
- Year: 2024
- Citations: 0
- Tracing roots and linkages: Harnessing graph theory and social network analysis in genealogical research, based on the kin naming system
- Authors: Joram, A., Singh, K.R., Mishra, L.N., Rathour, L., Vanav Kumar, A.
- Year: 2024
- Citations: 1
- Approximation of Periodic Functions by Wavelet Fourier Series
- Authors: Karanjgaokar, V., Rahatgaonkar, S., Rathour, L., Mishra, L.N., Mishra, V.N.
- Year: 2024
- Citations: 0
- Attributes of residual neural networks for modeling fractional differential equations