Mitali Madhumita Acharya
Assistant Professor
Dr. Mitali Madhumita Acharya is currently working as an Assistant Professor-II in the department of Mathematics at KIIT deemed to be University. She has 10 years of teaching experience and 14 years of research experience. She received his PhD degree in Numerical Functional Analysis from Indian Institute of Technology Kharagpur, India. Before joining as a JRF in IIT Kharagpur for PhD programme, she received her M.Phil. and M.Sc. degrees in Mathematics from Berhampur University and Ravenshaw (Autonomous) College (Utkal University), respectively. So far,s he has published a good number of research papers in various international journals and conferences. She has guided three research scholars for their Ph.D. degree. Her areas of research are Numerical Functional Analysis, Operations Research.
Profile Links
Email :
[email protected]
Scopus Id :
56964814300
Google Scholar :
https://scholar.google.com/citations?view_op=list_works&hl=en&hl=en&user=_4dow3MAAAAJ&sortby=pubdate
Social Links
Ph.D.
Research Interests
Numerical Functional Analysis, Integral Equations, Operator Theory, Numerical Analysis, Optimization
Memberships
- Life member of OMS (Odisha Mathematical Society).
- Life member of ORSI (Operational Research Society of India)
- Life Member of ISCA (Indian Science Congress Association)
Outreach Activity
Art of Giving, Plantation, Kanya Kiran
1. Tadesse, A., Acharya, M. M., Sahoo, M., & Acharya, S. (2021). Fuzzy linear programming problem with fuzzy decision variables: A geometrical approach. Journal of Statistics and Management Systems, 24(4), 853-863.
2. Abebaw Gessesse, A., Mishra, R., Acharya, M. M., & Das, K. N. (2020). Genetic algorithm based fuzzy programming approach for multi-objective linear fractional stochastic transportation problem involving four-parameter Burr distribution. International Journal of System Assurance Engineering and Management, 11(1), 93-109.
3. Acharya, M. M., Gessesse, A. A., Mishra, R., & Acharya, S. (2019). Multi-objective stochastic transportation problem involving three-parameter extreme value distribution. Yugoslav Journal of Operations Research, 29(3), 337-358.
4. Jena, S. R., Nayak, D., & Acharya, M. M. (2017). Application of mixed quadrature rule on electromagnetic field problems. Computational Mathematics and Modeling, 28(2), 267-277.
5. Nayak, D., Jena, S. R., & Acharya, M. M. (2017). Approximate solution of Muntz system. Global Journal of Pure and Applied Mathematics, 13(7), 3013-3020.
6. Das, P., Sahani, M. M., Nelakanti, G., & Long, G. (2016). Legendre spectral projection methods for Fredholm–Hammerstein integral equations. Journal of Scientific Computing, 68(1), 213-230.
7. Patro, K. K., Acharya, M. M., Biswal, M. P., & Acharya, S. (2015). Computation of a multi-choice goal programming problem. Applied Mathematics and Computation, 271, 489-501.
8. Das, P., Sahani, M. M., & Nelakanti, G. (2015). Convergence analysis of Legendre spectral projection methods for Hammerstein integral equations of mixed type. Journal of Applied Mathematics and Computing, 49(1), 529-555.
9. Acharya, S., Ranarahu, N., Dash, J. K., & Acharya, M. M. (2014). Computation of a multi-objective fuzzy stochastic transportation problem. International Journal of Fuzzy Computation and Modelling, 1(2), 212-233.
10. Acharya, S., Ranarahu, N., Dash, J. K., & Acharya, M. M. (2014). Solving multi-objective fuzzy probabilistic programming problem. Journal of Intelligent & Fuzzy Systems, 26(2), 935-948.