Experience:

In dealing with uncertainties and multiple options, computational intelligence techniques play a significant role. Metaheuristics algorithm is one of the major principles of computational intelligence techniques. The main features of my work are as follows:

• To handle the multi-choice parameters, a numerical technique has been applied with the optimization algorithm to solve a real-world problem.

• To deal with large-scale binary optimization problems such as feature selection problems, knapsack problems, etc., different binary variants of metaheuristic algorithms are developed.

• The performance of the developed algorithms is compared with the existing and well-known techniques. It has been observed that the developed techniques outperform in terms of convergence, robustness, and quality of solutions.

She has four years of teaching experience teaching bachelor’s and master’s degree students. She taught different subjects such as Engineering Mathematics-I, Engineering Mathematics-II, Optimization, Mathematical Modelling and Optimization, Real Analysis, Advance Analytics-I, and Advance Analytics-II.