Dr. Sankar Prasad Mondal
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Dr. Sankar Prasad Mondal

Assistant Professor
National Institute of Technology, India

Highest Degree
Ph.D. in Science from Indian Institute of Engineering Science and Technology, Shibpur, India

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Biography

Dr. Sankar Prasad Mondal is currently working as Assistant Professor at National Institute of Technology, Agartala. He has completed his PhD in Science from Indian Institute of Engineering Science and Technology, Shibpur. His area of research focuses on Differential Equation, Fuzzy Sets. He is also serving as reviewer for International Journal of Industrial Mathematics, Journal of Linear Topological Algebra, International Journal of Applied and Computational Mathematics, Far East Journal of Applied Mathematics and member of editorial board in Journal of Scientific Issues. Dr. Sankar has published 19 research articles in international journals contributed as author/co-author.

Area of Interest:

Physical Science Engineering
100%
Operations Research
62%
Differential Equation
90%
Fuzzy Sets
75%
Fuzzy Differential Equation
55%

Research Publications in Numbers

Books
0
Chapters
0
Articles
0
Abstracts
0

Selected Publications

  1. Paul, S., S.P. Mondal and P. Bhattacharya, 2016. Numerical solution of Lotka Volterra prey predator model by using Runge-Kutta-Fehlberg method and Laplace Adomian decomposition method. Alexandria Eng. J., 55: 613-617.
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  2. Paul, S., S.P. Mondal and P. Bhattacharya, 2016. Discussion on fuzzy quota harvesting model in fuzzy environment: fuzzy differential equation approach. Model. Earth Syst. Environ., 10.1007/s40808-016-0113-y.
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  3. Mondal, S.P., S. Roy and B. Das, 2016. Numerical Solution of First-Order Linear Differential Equations in Fuzzy Environment by Runge-Kutta-Fehlberg Method and Its Application. Int. J. Differ. Equ., 10.1155/2016/8150497.
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  4. Mondal, S.P., and T.K. Roy, 2015. System of Differential Equation with Initial Value as Triangular Intuitionistic Fuzzy Number and its Application. Int. J. Appl. Comput. Math., 1: 449-474.
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  5. Mondal, S.P., S. Paul, A. Mahata, P. Bhattacharya and T.K. Roy, 2015. Classical Modeling of HIV Virus Infected Population in Imprecise Environments. Turk. J. Fuzzy Syst., 6: 17-55.
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  6. Mondal, S.P. and T.K. Roy, 2015. Second order linear differential equations with generalized trapezoidal intuitionistic Fuzzy boundary value. J. Linear Topol. Algebra, 4: 115-129.
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  7. Mondal, S.P. and T.K. Roy, 2015. Generalized intuitionistic fuzzy laplace transform and its application in electrical circuit. J. Appl. Eng. Math., 5: 30-45.
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  8. Mondal, S.P. and T.K. Roy, 2015. First Order Non Homogeneous Ordinary Differential Equation with Initial Value as Triangular Intuitionistic Fuzzy Number. J. Uncertain Syst., 9: 274-285.
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  9. Mondal, S.P. and T.K. Roy, 2014. Non-linear arithmetic operation on generalized triangular intuitionistic fuzzy numbers. Notes Intuitionistic Fuzzy Sets, 20: 9-19.
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  10. Mondal, S.P. and T.K. Roy, 2014. First order homogeneous ordinary differential equation with initial value as triangular intuitionistic fuzzy number. J. Uncertainty Math. Sci., 2014: 1-17.
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  11. Mondal, S.P., S. Banerjee and T.K. Roy, 2013. First Order Linear Homogeneous Ordinary Differential Equation in Fuzzy Environment. Int. J. Pure Appl. Sci. Technol., 14: 16-26.
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  12. Mondal, S.P. and T.K. Roy, 2013. First order linear non homogeneous ordinary differential equation in fuzzy environment based on Laplace transform. J. Math. Comput. Sci., 3: 1533-1564.
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  13. Mondal, S.P. and T.K. Roy, 2013. First order linear homogeneous ordinary differential equation in fuzzy environment based on Laplace transform. J. Fuzzy Set Valued Anal., 2013: 1-18.
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  14. Mondal, S.P. and T.K. Roy, 2013. First Order Linear Non Homogeneous Ordinary Differential Equation in Fuzzy Environment. Math. Theory Model., 3: 85-95.
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  15. Mondal, S.P. and T.K. Roy, 2013. First Order Linear Homogeneous Fuzzy Ordinary Differential Equation Based on Lagrange Multiplier Method. J. Soft Comput. Appl., 2013: 1-17.
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  16. Mondal, S.P. and T.K. Roy, 2013. Application of First Order Non-Homogeneous Fuzzy Differential Equation. Adv. Fuzzy Sets Syst., 16: 1-29.
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