Dr. P. Senthil Kumar

Associate Professor, Amity School of Engineering and Technology, Amity University, Bengaluru, Karnataka, 562110, India
  • India

About Dr. P. Senthil Kumar

I am in the top 2% of scientists on the 2024 Stanford-Elsevier list.

Dr. P. Senthil Kumar is an Associate Professor (Mathematics) at the Amity School of Engineering and Technology of Amity University, Bengaluru, Karnataka, India. He received B.Sc., M.Sc., and M.Phil. degrees from Jamal Mohamed College, Tiruchirappalli in 2006, 2008, and 2010, respectively. Furthermore, he received a B.Ed. degree from the Jamal Mohamed College of Teacher Education in 2009. Additionally, he completed PGDCA in 2011 at Bharathidasan University and PGDAOR in 2012 at Annamalai University, Tamil Nadu, India. His Ph.D. thesis, completed at Jamal Mohamed College in 2017, is titled “Algorithmic approach for solving allocation problems under intuitionistic fuzzy environment”. He has published many research papers in peer-reviewed national and international journals such as International Journal of System Assurance Engineering and Management (IJSA), International Journal of Fuzzy Logic and Intelligent Systems (IJFIS), International Journal of Fuzzy System Applications (IJFSA), International Journal of Logistics Systems and Management (IJLSM), International Journal of Operational Research (IJOR), and International Journal of Software Science and Computational Intelligence (IJSSCI). He has also presented research papers in International Conference on Mathematical Modeling and Applied Soft Computing (MMASC-2012) and International Conference on Mathematical Sciences (ICMS-2014). Moreover, he has published nine book chapters for IGI Global publication, USA. Out of nine book chapters, one is indexed in the Web of Science and four are indexed in Scopus. He has introduced the PSK (P. Senthil Kumar) method and PSK theorem for solving transportation problems in uncertain environments. And also, he has proved the supporting theorem, which states that the solution obtained by the PSK method for solving fuzzy transportation problems is always an optimal solution. Its relevant articles have been published in Springer Journals which are indexed in Scopus and Web of Science.

His current H-index on Google Scholar is 23 and i10-index is 31. He serves as Associate Editor of the International Journal of Artificial Intelligence (AI) in Scientific Disciplines (IJAISD). He has served as a Reviewer/Editorial Board Member (EBM) for several reputed international journals. He is also a member of numerous renowned bodies, such as ISFSEA and IAENG. He is an Editorial Advisory Board (EAB) member of some book publications. He has reviewed over 250 articles for diverse Web of Science and Scopus-indexed journals. He has published 37 Research Publications (9 Book Chapters, 7 National Journals, 17 International Journals, 3 International Conferences, and 1 Ph.D. Thesis) as on October 2024. Two International Journal Papers are in Pipeline. He has 12 years of teaching and research experience. He is currently researching in the areas of fuzzy optimization, intuitionistic fuzzy optimization, operations research, numerical analysis, and graph theory.

Intro Content

International Journal of System Assurance Engineering and Management

An efficient approach for solving intuitionistic fuzzy solid transportation problems with their equivalent crisp solid transportation problems

This article presents the PSK theorem, corollary, proof, and some results relevant to type-2 IFSTPs. Shortcomings in the existing results are pointed out, and type-2 IFSTPs are solved with Matlab. It also discusses the time complexity of the existing algorithms for solving STPs with different IFNs.

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