JIIT

Academic Experts

Dr. Shikha Pandey

ASSISTANT PROFESSOR (SR GRADE)

shikha.pandey@jiit.ac.in

Biography

Dr. Shikha Pandey holds a Ph.D. in Mathematics from Sardar Vallabhbhai National Institute of Technology (SVNIT) Surat, and an M.Sc. in Mathematics from the Indian Institute of Technology (IIT) Kanpur. She has also qualified the Graduate Aptitude Test in Engineering (GATE) in Mathematics.

Dr. Pandey brings over eight years of combined experience in academia and industry. She has more than five years of teaching and research experience at reputed institutions such as JIIT Noida and VIT-AP University. Prior to her academic career, she worked for more than three years at Tata Consultancy Services (TCS) as a Programmer Analyst, gaining valuable industry exposure in financial software systems.

Her research expertise lies in Approximation Theory, Operator Theory, Fuzzy and Neural Network Operators, and Fractal Approximation. She has published extensively in Scopus- and SCI-indexed journals and actively participated in international conferences, including ICM 2018 (Brazil). Dr. Pandey was offered D.S. Kothari Postdoctoral Fellowship and has received travel grants from DST and international organizations.

Currently, she is actively involved in teaching undergraduate and postgraduate courses. She has organized international conferences such as RAMSA-2025, and served as the editor of the departmental newsletter "Sankhya." She is a life member of the Indian Mathematical Society, Indian Society of Industrial and Applied Mathematics, and the International Association of Engineers.

Research Highlights

Dr. Shikha Pandey's research primarily focuses on Approximation Theory, Operator Theory, Fractal Approximation, and Fuzzy and Neural Network Operators. Her Ph.D. work explored linear positive operators within quantum calculus frameworks, offering significant insights into generalized approximation techniques.

She has published extensively in reputed international journals indexed in SCOPUS and SCI, contributing to the theoretical advancement of generalized approximation methods and their applications. Her recent work involves fuzzy set theory, fractal structures, and hybrid systems, with practical relevance to optimization and mathematical modelling. She continues to explore modern approximation techniques with applications in machine learning, data science, and mathematical modeling.

Areas Of Interest

Approximation Theory using Linear Positive Operators
Neural Network approximation
Fractals
Fuzzy approximation

Publications

S. Pandey, R. S. Rajawat, and V. N. Mishra, “Approximation properties of modified Jain-Gamma operators preserving linear function,” Palestine J. Math., vol. 12, no. 2, pp. 169–182, 2023.
L. N. Mishra, S. Pandey, and V. N. Mishra, “King Type Generalization of Baskakov Operators Based on (p, q) Calculus with Better Approximation Properties,” Analysis, vol. 40, no. 4, pp. 163–173, 2020, doi: 10.1515/anly-2019-0054.
U. Kadak, V. N. Mishra, and S. Pandey, “Chlodowsky Type Generalization of (p, q)-Szász Operators Involving Brenke Type Polynomials,” Rev. R. Acad. Cienc. Exactas Fís. Nat. Ser. A Mat., vol. 112, no. 4, pp. 1443–1462, 2017, doi: 10.1007/s13398-017-0439-y.
V. N. Mishra, M. Mursaleen, S. Pandey, and A. Alotaibi, “Approximation Properties of Chlodowsky Variant of (p, q) Bernstein-Stancu-Schurer Operators,” J. Inequal. Appl., vol. 2017, 176, 2017, doi: 10.1186/s13660-017-1451-7.
V. N. Mishra and S. Pandey, “On (p, q) Baskakov-Durrmeyer-Stancu Operators,” Adv. Appl. Clifford Algebras, vol. 27, no. 2, pp. 1633–1646, 2017, doi: 10.1007/s00006-016-0738-y.