P. Senthil Kumar's Profile
About P. Senthil Kumar
Dr. P. Senthil Kumar is an Associate Professor (Mathematics) at the Amity School of Engineering and Technology of Amity University, Bengaluru, Karnataka, India. He has 12 years (approximately) of teaching and research experience. 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, International Journal of Fuzzy Logic and Intelligent Systems, International Journal of Fuzzy System Applications, International Journal of Logistics Systems and Management and International Journal of Operational Research. Moreover, he has published four book chapters for IGI Global publication. He has also presented research papers in International Conference on Mathematical Sciences (ICMS-2014) and the International conference on mathematical modeling and applied soft computing (MMASC-2012), etc. He has introduced PSK (P. Senthil Kumar) method and PSK theorem for solving optimization problems under uncertain environments. His areas of research interest include fuzzy optimization, intuitionistic fuzzy optimization, operations research, numerical analysis, and graph theory.
Affiliations
| 2023 | - | 2023 | : | Mohan Babu University |
| 2023 | - | : | Amity University Bengaluru | |
| 2020 | - | 2023 | : | MVJ College of Engineering |
| 2018 | - | 2020 | : | Navodaya Institute of Technology |
| 2010 | - | 2017 | : | Jamal Mohamed College |
Recent Publications
- Algorithms and Software Packages for Solving Transportation Problems With Intuitionistic Fuzzy NumbersIn Operational Research for Renewable Energy and Sustainable Environments. Practice, Progress, and Proficiency in Sustainability (PPPS), pages 1-55, IGI Global, 2024. [doi]
- AI-Driven Decision Support System for Intuitionistic Fuzzy Assignment ProblemsIn Using Traditional Design Methods to Enhance AI-Driven Decision Making. Advances in Media, Entertainment, and the Arts (AMEA), pages 352-398, IGI Global, 2024. [doi]
- The PSK Method: A New and Efficient Approach to Solving Fuzzy Transportation ProblemsIn Transport and Logistics Planning and Optimization. Advances in Logistics, Operations, and Management Science (ALOMS), pages 149-197, IGI Global, 2023. [doi]
- The Theory and Applications of the Software-Based PSK Method for Solving Intuitionistic Fuzzy Solid Transportation ProblemsIn Perspectives and Considerations on the Evolution of Smart Systems. Advances in Systems Analysis, Software Engineering, and High Performance Computing (ASASEHPC), pages 137-186, IGI Global, 2023. [doi]
- Computationally Simple and Efficient Method for Solving Real-Life Mixed Intuitionistic Fuzzy 3D Assignment Problemsijssci, 14(1):1-42, 2022. [doi]
- Finding the Solution of Balanced and Unbalanced Intuitionistic Fuzzy Transportation Problems by Using Different Methods With Some Software PackagesIn Handbook of Research on Applied AI for International Business and Marketing Applications. Advances in Marketing, Customer Relationship Management, and E-Services (AMCRMES), pages 278-320, IGI Global, 2021. [doi]