Dr. Akshay Kumar Ojha

Associate Professor

School of Basic Sciences

Office : 335, School of Basic Sciences, Argul

Phone : +91 674-713-5116

Email : akojha@iitbbs.ac.in

Education

Degree	Discipline	Year	School
Ph.D.	Mathematics	1997	Utkal University, Vanivihar, Bhubaneswar

Research Interests

(1) Multi Objective Multilevel and Multi taxing Optimization Problems. (2) Analysis and Approximation Theory (3) Non Smooth Optimization (4) Uncertainty Problems (5) Geometric Programming (6) Fractional programming (7) Artificial Neural Network (8) Soft computing(Genetic Algorithm, Particle swarm optimization, Invasive Weed Algorithm) (9) Robust Optimization (10) Portfolio Optimization

Teaching

B.Tech.: Mathematics-I, Mathematics-II, Transform Calculus, Probability and Statistics, Programming and Data Structure Joint M.Sc. and Ph.D.: Real Analysis, Topology, Measure Theory and Integration, Programming and Data Structure, Algebra, Advanced Technique in Operation Research. MTech.: Advanced Technique in Operation Research.

Publications

Journals

1Rashmi ranjan Ota, J.C.Pati and A.K.Ojha (2019): Geometric Programming technique to optimize power distribution system, OPSERCH, 56:282–299, https://doi.org/10.1007/s12597-019-00363-6

2Suvasis Nayak and Akshay kumar Ojha(2019): Solution approach to multi-objective linear fractional programming problems using parametric functions, OPSEARCH, 56:174–190, https://doi.org/10.1007/s12597-018-00351-2

3 Nayak, Suvasis, and Akshay Ojha(2019): On multi-level multi-objective linear fractional programming problems with interval parameters, Rairo-Operation Research, DOI: https://doi.org/10.1051/ro/2018063, 1601-1616,Vol:53

4Y. Ramu Naidu1 · A. K. Ojha(2018): A Space Transformational Invasive Weed Optimization for Solving Fixed-Point Problems, Applied Intelligence, Springer, DOI 10.1007/s10489-017-1021-1,,47 1-11

5Suvasis Nayak and Akshay Ojha(2018): An approach of fuzzy and TOPSIS to bi-level multi-objective nonlinear fractional programming problem, Soft Computing, Springer, Doi.org/10.1007/s00500-018-3217-7

6Y.Ramu Naidu, A.K.Ojha(2016): Solving Multiobjective Optimization Problems Using Hybrid Cooperative Invasive Weed Optimization With Multiple Populations, IEEE transactions on systems,man,and cybernetics:systems, DOI 10.1109/TSMC.2016.2631479, 2168-2216,2016

7Y. Ramu Naidu1 · A. K. Ojha(2015): A hybrid version of invasive weed optimization with quadratic approximation, Springer, Soft Computing 19.12 (2015): 3581-3598. DOI 10.1007/s00500-015-1896-x, 29 October 2015.

8Suvasis Nayak and Akshay Ojha(2015): Generating Pareto Optimal Solutions of Multi-Objective LFPP with Interval Coefficients Using ϵ-Constraint Method, Mathematical Modelling and Analysis, Vol.20, No.3, May 2015,329-345,Taylor &Francis

9A.K.Ojha and R.R.Ota(2015): A hybrid method for solving multi-objective geometric programming problem, Int. J. Mathematics in Operational Research, Vol. 7, No. 2 (2015)119-136,Indersicence

10A.K.Ojha and K.K.Biswal(2014): Multi-objective geometric programming problem with ϵ-constraint method, Applied Mathematical Modelling, 38 (2014)747-758,Elsevier.

11A.K.Ojha and R.R.Ota(2014): Multi-Objective geometric programming problem with Karush-Kuhn-Tucker condition using ϵ-constraint method, RAIRO Operations Research, RAIRO-Oper. Res. 48 (2014) 429–453

12R.R.Ota, J.K.Das and A.K.Ojha(2014):A Hybrid Optimization Technique for Solving Non-Linear Multi-Objective Optimization Problem, AMO-Advanced Modelling and Optimization,Volume 16, Number 1, 2014,61-72

13A.K.Ojha and R.R.Ota(2013): Multi-objective Geometric Programming Problems with Cost Coefficients as Multiple Parameters, AMO-Advanced Modelling and Optimization,Volume 15, Number 3, 2013, 815-838

14A.K.Ojha and A.K.Das(2010): Multi-objective Geometric Programming Problem being cost co-efficient as continuous function with weighted mean method, Journal of Computing, Vol.7 issue-2, pp.67-73, February 2010, ISSN 2151-9617.

15A.K.Ojha and K.K.Biswal(2010): Multi-objective Geometric Programming Problem with weighted mean Method, International Journal of Computer Science and Information Security,Vol.7,No.2. pp.82-86, 2010 ,ISSN 1947-5500.

16A.K.Ojha, D.Mallick and C.Mallick(2010):Existence and Global Logarithmic Stability of Impulsive Neural Networks with Time Delay, International Journal of Computer Science Issues,Vol.7,Issue 1,No 2, pp.32-41, January 2010,ISSN:1694-0784

17A.K.Ojha,C.Mallick and D.Mallick(2009):Cornered in binary image using Neural Network, Journal of Computational Mathematics and Optimization, Vol.5(2009),No:2 ,pp.79-99, ISSN:0972-9372

18A.K.Ojha and D.Mallick(2008): Existence of absolute stability on Normal Neural Networks using Hermitian and skew Hermitian weight Matrices , Journal of Computational Mathematics and Optimization, Vol. 4(2008),No:3 ,pp.171-183,ISSN 0972-9372.

Completed-07, Continuing- 02