Niketa Gandhi

Papers

Total Citations

H-Index

About

Niketa Gandhi is a prominent researcher in the fields of soft computing, pattern recognition, and hybrid intelligent systems. Her work focuses on developing novel computational models that integrate machine learning, fuzzy logic, and evolutionary algorithms to solve complex real-world problems. She has made significant contributions to the advancement of hybrid intelligent frameworks, which combine multiple AI techniques to enhance decision-making and predictive accuracy. Her most cited paper, "Hybrid Intelligent Systems" (2021), has garnered 10 citations, reflecting its impact on the research community. Additionally, she played a key role in editing the "Proceedings of the 12th International Conference on Soft Computing and Pattern Recognition (SoCPaR 2020)" (2021), a notable achievement that underscores her leadership in organizing and disseminating cutting-edge research. Through her work, Gandhi has helped bridge the gap between theoretical AI and practical applications, inspiring students and researchers to explore the synergy of soft computing paradigms. Her ongoing contributions continue to shape the landscape of intelligent systems.