Shankha Shubhra Goswami
Indira Gandhi Institute of Technology, University of Engineering & Management
Papers
5
Total Citations
299
H-Index
4
About
Shankha Shubhra Goswami is a rising researcher specializing in Multi-Criteria Decision Making (MCDM), industrial automation, and the application of artificial intelligence in engineering systems. His work is distinguished by the development of innovative hybrid MCDM frameworks that combine established techniques such as TOPSIS, COPRAS, ARAS, and AHP to solve complex real-world decision-making problems with greater robustness and precision. Goswami's most influential contributions include pioneering two novel hybrid MCDM models — TOPSIS-ARAS and COPRAS-ARAS — applied to robot selection problems, which has garnered 122 citations and signaled a meaningful shift away from traditional standalone MCDM approaches. His subsequent work on entropy-integrated COPRAS and ARAS for material handling equipment selection (85 citations) further cemented his reputation in industrial decision-making research. Notably, his foray into fuzzy environments and AI integration in the construction industry (68 citations) demonstrates a broadening research vision that bridges computational intelligence with practical engineering challenges. More recently, Goswami has extended his expertise into stochastic modeling for autonomous systems and robotics, reflecting his commitment to addressing uncertainty in next-generation automated environments. With nearly 300 total citations across a focused body of work, he is establishing himself as a significant voice in intelligent industrial decision-making research.
Research Focus
Key Achievements
Top Papers
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- 5Stochastic Models for Autonomous Systems and Robotics3 citations · 2025