Dharmpal Singh

Papers

Total Citations

H-Index

About

Dharmpal Singh is a researcher whose work lies at the intersection of computational intelligence and educational technology. His primary research areas include swarm intelligence, metaheuristic optimization, and the application of artificial intelligence to data mining and decision-making systems. Singh’s most cited work, “An effort to select a preferable metaheuristic model for knowledge discovery in data mining” (2015, 4 citations), explores the potential of swarm intelligence computation—a field inspired by collective behavior in nature—to enhance the efficiency of knowledge discovery processes. This contribution highlights his interest in developing robust, nature-inspired algorithms for complex data analysis tasks. More recently, Singh has ventured into applied AI with his 2021 paper “Educational Assistance Bot” (3 citations), which investigates the use of internet bots to automate repetitive tasks and support learning environments. By designing software that can assist students and educators, Singh demonstrates a commitment to bridging theoretical optimization models with practical, user-centered solutions. Though his citation counts are modest, his work reflects a thoughtful progression from foundational metaheuristic theory to tangible educational tools, marking him as a researcher focused on making AI accessible and beneficial for real-world decision-making and learning support.