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Academic Experts
Academic Experts
Dr. Pankaj Kumar Srivastava
ASSOCIATE PROFESSOR
pankaj.srivastava@jiit.ac.in
Biography

Dr. Pankaj Kumar Srivastava is an accomplished academician and researcher. He holds a Ph.D. in Mathematics from Motilal Nehru National Institute of Technology (MNNIT), Allahabad, which he earned in 2010. He completed his Master’s degree in Mathematics from the University of Allahabad.

Dr. Srivastava joined JIIT in July 2011 as an Assistant Professor-Grade I. In due course of time, he is promoted to Assistant Professor-Grade II and Senior Grade. Later, in the year 2022 he is promoted to Associate Professor. With over 23 years of teaching and research experience, Dr. Srivastava is a dedicated mentor who has successfully supervised four Ph.D. candidates, with one more currently ongoing.

Over the years, he has been actively involved in teaching undergraduate and PhD students, offering courses in engineering mathematics, numerical methods, optimization techniques, and decision-making methods. He has made significant contributions to departmental and institutional development through his involvement in various academic and administrative committees. He has also been instrumental in organizing faculty development programs, workshops, and conferences, thereby promoting interdisciplinary learning and collaboration. Dr. Srivastava is also currently serving as the Faculty JYC Coordinator and Dean’s Representative for work assessment and synopsis seminars of Ph.D. students at JIIT, Wish Town Campus.

Research Highlights

Dr. Pankaj Kumar Srivastava’s research focuses on fuzzy optimization, multi-criteria decision-making, fuzzy transportation problems, and numerical solutions of differential equations. His work in applied mathematics connects theoretical models with real-world applications in logistics, engineering, and decision sciences. He has published over 55 research papers in peer-reviewed journals of international repute such as Expert Systems with Applications, Applied Soft Computing, Computational and Applied Mathematics, and Advances in Engineering Software. His publications demonstrate innovative methods for handling imprecise information through Intuitionistic, Neutrosophic and Pythagorean Fuzzy Sets, and other generalized fuzzy models in multi-objective optimization. He has also contributed significantly to the numerical approximation of boundary value problems, utilizing various spline and hybrid numerical methods to improve computational efficiency and accuracy. His recent research includes work on Intuitionistic Fuzzy Multi-Objective Programming, further advancing decision-making tools in uncertain and conflicting environments.

Areas Of Interest
  • Fuzzy Optimization
  • Multi-Objective and Multi-Criteria Decision-Making
  • Mathematical Modeling in Transportation and Logistics
  • Spline based Numerical Methods for Differential Equations
  • Computational Techniques in Applied Mathematics
Publications

  1. D. Sarkar and Pankaj Kumar Srivastava, “Recent development and applications of neutrosophic fuzzy optimization approach”, International Journal of System Assurance Engineering and Management, 15, 2024, 2042-2066. (I.F. 1.40)

  2. V. Chauhan and Pankaj Kumar Srivastava, “Numerical approximation of population growth in an autonomous system through a fourth-stage geometric mean-based explicit Runge-Kutta method”, International Journal of Computing Science and Mathematics, 17(3), 2023, 241-253. (I.F. 0.70)

  3. P. Nagar, Pankaj Kumar Srivastava and A. Srivastava, “A new dynamic score function approach to optimize a special class of Pythagorean fuzzy transportation problem”, International Journal of System Assurance Engineering, 13, (2022), 904–913. (I.F. 1.40)

  4. D. Chhibber, Pankaj Kumar Srivastava, D. C. S. Bisht, “Intuitionistic fuzzy TOPSIS for non-linear multi-objective transportation and manufacturing problem”, Expert Systems with Applications, 210, (2022), 118357. (I.F. 8.87)

  5. D. Chhibber, D. C. S. Bisht and Pankaj Kumar Srivastava, “Pareto-optimal Solution for Fixed-charge Solid Transportation Problem under Intuitionistic Fuzzy Environment”, Applied Soft Computing, 107, 2021, 107368. (I.F. 8.26)