Sanat Kumar Mahato | Mathematics | Best Researcher Award

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Prof. Sanat Kumar Mahato | Mathematics | Outstanding Scientist Award

Professor at Sidho-Kanho-Birsha University , India

Prof. (Dr.) Sanat Kumar Mahato is a distinguished academician and researcher specializing in reliability optimization and fuzzy environments. With a solid academic background and significant teaching and research experience, Prof. Mahato has made notable contributions to his field. His work is characterized by a focus on reliability-redundancy optimization in fuzzy and interval environments, as evidenced by his numerous publications and research projects.

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Education 🎓

Prof. (Dr.) Sanat Kumar Mahato has a robust academic background that underpins his distinguished career in mathematics and operations research. He completed his Madhyamik (Secondary) education from the West Bengal Board of Secondary Education (WBBSE) in 1997, achieving a commendable 76.88% in a range of subjects including Bengali, English, Mathematics, and Science. His Higher Secondary education followed from the West Bengal Council of Higher Secondary Education (WBCHSE) in 1999, where he secured 77.90% in subjects such as Physics, Chemistry, and Biology, further solidifying his foundation in science and mathematics. Prof. Mahato pursued his undergraduate studies in Mathematics Honours at J.K. College, affiliated with Burdwan University, graduating in 2002 with a first-class degree and a 68.00% score. He continued his academic journey with a Master’s degree in Applied Mathematics from Burdwan University in 2004, specializing in Operations Research and Fluid Mechanics, and earned a first-class with a score of 67.90%. His academic pursuits culminated with a Doctorate from Burdwan University in 2014, where his thesis titled “Studies on Reliability-Redundancy Optimization in Fuzzy and Interval Environments” showcased his focus on advanced topics in reliability optimization. This comprehensive educational foundation has equipped Prof. Mahato with the knowledge and skills necessary to make significant contributions to his field and excel in his academic and research endeavors.

work Experienceđź’Ľ

Prof. (Dr.) Sanat Kumar Mahato has amassed a distinguished career in academia, demonstrating a blend of teaching, research, and administrative excellence. His professional journey began as an Assistant Professor at Darjeeling Government College in June 2006. During his tenure there, which lasted until September 2009, he laid a strong foundation in his academic career, engaging in teaching and early research initiatives. In September 2009, Prof. Mahato transitioned to Durgapur Government College, where he continued to build his academic profile until June 2015. His contributions during this period included teaching advanced mathematics and research supervision, further establishing his expertise in his field. Following his time at Durgapur Government College, Prof. Mahato took on a new role at Mejia Government College in June 2015. His tenure there, which lasted until March 2016, was marked by his continued dedication to teaching and his active participation in departmental activities. In March 2016, Prof. Mahato joined Sidho-Kanho-Birsha University in Purulia as an Associate Professor. His work at the university has been notable for its emphasis on research and leadership. He was promoted to Professor in February 2019, a testament to his significant contributions to the academic community. At Sidho-Kanho-Birsha University, Prof. Mahato has served as the Head of the Department of Mathematics, Head-in-Charge of the Department of Computer Science, and Head-in-Charge of the Department of Kudmali. These roles highlight his leadership and administrative capabilities, as he has played a crucial role in shaping the academic and research environment at the university.

Research Focus🔎

Prof. (Dr.) Sanat Kumar Mahato’s research focuses on the advanced study of reliability optimization within fuzzy and interval environments. His work predominantly explores how to optimize reliability-redundancy systems under uncertain conditions, employing fuzzy logic and interval arithmetic to address real-world problems where precise data is often unavailable. His research aims to develop and refine mathematical models and algorithms that can handle imprecise information effectively, offering robust solutions for reliability issues in complex systems.

Prof. Mahato’s key contributions include his studies on reliability optimization with fuzzy and interval uncertainties, which are pivotal in understanding and improving system reliability in various fields. His work addresses the challenge of integrating fuzzy logic with optimization techniques to model and solve problems where system components’ reliability cannot be precisely quantified. By developing novel algorithms and methodologies, he has significantly advanced the field of operations research and contributed valuable insights into the optimization of complex systems.

Awards and honors🏆

Prof. (Dr.) Sanat Kumar Mahato, a distinguished academic in the field of mathematics, has made significant contributions through his research on reliability optimization in fuzzy and interval environments. Despite his extensive achievements and impactful research, Prof. Mahato has not yet received formal awards or honors at either national or international levels. His work is highly regarded within the academic community, as evidenced by his numerous publications and his role as a professor and head of multiple departments at Sidho-Kanho-Birsha University. Prof. Mahato’s notable contributions to the field of reliability optimization and his leadership in academia underscore his exceptional commitment to advancing knowledge and education. While formal awards and honors have not yet been bestowed upon him, his ongoing research, mentorship, and academic leadership are highly commendable and contribute significantly to his field.

Conclusionâś…

Prof. (Dr.) Sanat Kumar Mahato is a highly qualified candidate for the Research for Outstanding Scientist Award due to his extensive research contributions, leadership in academia, and dedication to mentoring the next generation of researchers. His work in reliability optimization in fuzzy and interval environments demonstrates his expertise and commitment to advancing his field. Addressing the areas for improvement, such as enhancing international recognition and pursuing practical applications of his research, could further strengthen his candidacy. Overall, Prof. Mahato’s achievements and ongoing contributions make him a deserving nominee for this prestigious award.

đź“šPublications to Noted

Interval-arithmetic-oriented interval computing technique for global optimization

Authors: SK Mahato, AK Bhunia

Journal: Applied Mathematics Research Express

Year: 2006

Citations: 66

Volume/Issue: 2006, 69642

Applications of new hybrid algorithm based on advanced cuckoo search and adaptive Gaussian quantum behaved particle swarm optimization in solving ordinary differential equations

Authors: N Kumar, AA Shaikh, SK Mahato, AK Bhunia

Journal: Expert Systems with Applications

Year: 2021

Citations: 56

Volume/Issue: 172, 114646

Interval oriented multi-section techniques for global optimization

Authors: S Karmakar, SK Mahato, AK Bhunia

Journal: Journal of Computational and Applied Mathematics

Year: 2009

Citations: 44

Volume/Issue: 224 (2), 476-491

A new QPSO based hybrid algorithm for constrained optimization problems via tournamenting process

Authors: N Kumar, SK Mahato, AK Bhunia

Journal: Soft Computing

Year: 2020

Citations: 39

Volume/Issue: 24 (15), 11365-11379

A deteriorating inventory model with displayed stock-level-dependent demand and partially backlogged shortages with all unit discount facilities via particle swarm optimisation

Authors: AK Bhunia, SK Mahato, AA Shaikh, CK Jaggi

Journal: International Journal of Systems Science: Operations & Logistics

Year: 2014

Citations: 36

Volume/Issue: 1 (3), 164-180

Divergent channel flow of Casson fluid and heat transfer with suction/blowing and viscous dissipation: existence of boundary layer

Authors: A Banerjee, SK Mahato, K Bhattacharyya, AJ Chamkha

Journal: Partial Differential Equations in Applied Mathematics

Year: 2021

Citations: 28

Volume: 4, 100172

Reliability-redundancy optimization problem with interval valued reliabilities of components via genetic algorithm

Authors: SK Mahato, L Sahoo, AK Bhunia

Journal: J Inf Comput Sci

Year: 2012

Citations: 26

Volume/Issue: 7 (4), 284-295

An EPQ model with time proportion deterioration and ramp type demand under different payment schemes with fuzzy uncertainties

Authors: P Supakar, SK Mahato

Journal: International Journal of Systems Science: Operations & Logistics

Year: 2022

Citations: 22

Volume/Issue: 9 (1), 96-110

Fuzzy reliability redundancy optimisation with signed distance method for defuzzification using genetic algorithm

Authors: SK Mahato, N Bhattacharyee, R Pramanik

Journal: International Journal of Operational Research

Year: 2020

Citations: 20

Volume/Issue: 37 (3), 307-323

Design of an efficient hybridized CS-PSO algorithm and its applications for solving constrained and bound constrained structural engineering design problems

Authors: N Kumar, SK Mahato, AK Bhunia

Journal: Results in Control and Optimization

Year: 2021

Citations: 18

Volume: 5, 100064