Associate Professor at Mahishadal Raj College, India
Dr. Manas Kumar Maiti is a highly accomplished academic and researcher specializing in Operations Research, Soft Computing, and Computational Intelligence. With more than two decades of teaching and research experience, he has contributed significantly to the fields of applied mathematics, optimization, and algorithm development. His research spans theoretical modeling and real-world applications, particularly in supply chain management, fuzzy systems, and inventory control under uncertainty. He has published more than 80 research papers, including 60 in SCI/SCIE indexed international journals, with recognition from prestigious publishers such as Springer, Elsevier, IOS Press, Taylor & Francis, and IEEE. As an Associate Professor of Mathematics at Mahishadal Raj College, Dr. Maiti has mentored numerous research scholars, with nine awarded Ph.D.s under his supervision and four more ongoing. His active involvement in academic collaborations, project leadership, and participation in international and national conferences highlights his dedication to advancing research and building future generations of scholars.
Professional Profile
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Education
Dr. Manas Kumar Maiti holds an exemplary academic background blending mathematics and computer science. He earned his M.Sc., M.Phil., and Ph.D. in Mathematics, specializing in applied mathematical modeling and operations research. To further strengthen his interdisciplinary expertise, he completed an M.Tech. in Computer Science & Data Processing from the prestigious Indian Institute of Technology, Kharagpur (IIT-KGP), where he honed skills in computational methods, algorithm design, and advanced data processing techniques. Early in his career, he qualified for highly competitive fellowships, including NET, SLET, and GATE, achieving a remarkable in GATE, which underlined his academic excellence and strong problem-solving skills. His diverse qualifications enabled him to develop an integrated research approach, combining mathematical rigor with modern computational tools, leading to impactful contributions in optimization, soft computing, and decision-making under uncertainty. This strong educational foundation has been instrumental in shaping his research, teaching, and leadership in higher education.
Experience
With over 25 years of academic service, Dr. Manas Kumar Maiti has established himself as a dedicated teacher, mentor, and researcher. He has been serving as an Associate Professor of Mathematics at Mahishadal Raj College, West Bengal, where he teaches undergraduate and postgraduate students while leading advanced research in applied mathematics and computational intelligence. His teaching approach integrates classical mathematics with emerging computational methods, inspiring students to pursue interdisciplinary research. Alongside his academic role, he gained valuable industry exposure through his tenure at Tata Consultancy Services (TCS), where he applied computational and mathematical modeling skills to practical projects, enhancing his ability to bridge theory and practice. Over his career, he has successfully guided nine doctoral scholars to completion and continues to supervise new researchers. His experience also includes two UGC-sponsored research projects, organizing academic events, and active participation in more than 30 national and international conferences.
Research Interest
Dr. Maiti’s research interests lie in Operations Research, Soft Computing, and Optimization under Uncertainty, with a particular focus on inventory modeling, supply chain management, transportation problems, and heuristic/metaheuristic algorithms. He works extensively with fuzzy systems, evolutionary computation, and hybrid optimization techniques, developing innovative solutions to complex decision-making problems. His research integrates mathematics, computer science, and applied modeling to solve real-world challenges such as multi-depot traveling salesman problems, multi-objective optimization, and credit policy modeling in supply chains. Recent works demonstrate his expertise in combining advanced algorithms like genetic algorithms, bat algorithms, ant colony optimization, and grey wolf optimizers to address large-scale computational problems effectively. Beyond theoretical contributions, his models provide practical insights into business operations, logistics, and resource allocation, showing strong interdisciplinary applications. Dr. Maiti continues to expand his research toward emerging areas, including data-driven modeling and intelligent systems, ensuring his work remains relevant to both academia and industry.
Awards and Honors
Throughout his academic journey, Dr. Manas Kumar Maiti has earned recognition for his scholarly achievements and research excellence. Early in his career, he distinguished himself by qualifying for NET, SLET, and GATE, prestigious competitive examinations that highlighted his academic potential. Over the years, his contributions to Operations Research and Soft Computing have been reflected in his extensive list of SCI/SCIE-indexed publications in leading international journals. He has successfully completed two UGC-funded research projects, underscoring his ability to secure competitive grants and lead impactful investigations. As a mentor, his guidance has resulted in nine awarded Ph.D. degrees, contributing significantly to higher education and research development in India. His research papers, published in journals by Springer, Elsevier, World Scientific, IOS Press, IEEE, and Taylor & Francis, continue to attract global citations, a testament to their quality and relevance. His memberships in the Calcutta Mathematical Society and the Indian Statistical Institute further demonstrate his academic standing and recognition.
Research Skill
Dr. Maiti possesses advanced research skills in mathematical modeling, computational optimization, and decision-making under uncertainty. He is proficient in designing and applying heuristic and metaheuristic algorithms such as genetic algorithms, bat algorithms, grey wolf optimization, and hybrid methods for solving large-scale combinatorial problems. His expertise extends to developing fuzzy logic-based and simulation-driven models for real-world systems, particularly in inventory and supply chain optimization. With strong analytical skills, he integrates theory, computation, and application, ensuring his models are both mathematically sound and practically relevant. His skills in data analysis, algorithm development, and applied mathematics allow him to address diverse research challenges spanning mathematics, computer science, and operations research. In addition to technical expertise, Dr. Maiti demonstrates strong mentorship, project leadership, and collaboration skills, as evidenced by his successful supervision of doctoral scholars and completion of funded projects. These research skills collectively establish him as a versatile and impactful academic leader.
Publication Top Notes
Title: Inventory model with stochastic lead-time and price dependent demand incorporating advance payment
Authors: A.K. Maiti, M.K. Maiti, M. Maiti
Year: 2009
Citation: 199
Title: Fuzzy inventory model with two warehouses under possibility constraints
Authors: M.K. Maiti, M. Maiti
Year: 2006
Citation: 171
Title: A swap sequence based artificial bee colony algorithm for traveling salesman problem
Authors: I. Khan, M.K. Maiti
Year: 2019
Citation: 157
Title: Fuzzy inventory model with two warehouses under possibility measure on fuzzy goal
Authors: M.K. Maiti
Year: 2008
Citation: 94
Title: An inventory model for a deteriorating item with displayed stock dependent demand under fuzzy inflation and time discounting over a random planning horizon
Authors: A. Roy, M.K. Maiti, S. Kar, M. Maiti
Year: 2009
Citation: 92
Title: A fuzzy genetic algorithm with varying population size to solve an inventory model with credit-linked promotional demand in an imprecise planning horizon
Authors: M.K. Maiti
Year: 2011
Citation: 89
Title: Fully fuzzy fixed charge multi-item solid transportation problem
Authors: P.K. Giri, M.K. Maiti, M. Maiti
Year: 2015
Citation: 86
Title: Two storage inventory model of a deteriorating item with variable demand under partial credit period
Authors: P. Guchhait, M.K. Maiti, M. Maiti
Year: 2013
Citation: 83
Title: Two-storage inventory model with lot-size dependent fuzzy lead-time under possibility constraints via genetic algorithm
Authors: M.K. Maiti, M. Maiti
Year: 2007
Citation: 75
Title: A production inventory model with fuzzy production and demand using fuzzy differential equation: An interval compared genetic algorithm approach
Authors: P. Guchhait, M.K. Maiti, M. Maiti
Year: 2013
Citation: 72
Title: Production-inventory models for a damageable item with variable demands and inventory costs in an imperfect production process
Authors: P. Guchhait, M.K. Maiti, M. Maiti
Year: 2013
Citation: 64
Conclusion
In conclusion, Dr. Manas Kumar Maiti is a highly deserving candidate for the Best Researcher Award. With a solid academic background, a prolific research portfolio, and proven mentorship in guiding the next generation of scholars, he has made significant contributions to the advancement of mathematics, soft computing, and interdisciplinary optimization research. His ability to bridge theory with real-world problem-solving, along with his leadership in academic development, positions him as a strong contender. With further global engagement and high-impact collaborations, Dr. Maiti’s future contributions are poised to leave a lasting mark on both research and society.
