Jagdish Chand Bansal
Papers
10
Total Citations
109
H-Index
6
About
Jagdish Chand Bansal is a prolific researcher and editor whose work sits at the intersection of computational intelligence, soft computing, and emerging applications in robotics and agriculture. Best known for his editorial contributions to high-impact conference proceedings and edited volumes, Bansal has played a central role in shaping scholarly discourse through platforms such as the *Congress on Intelligent Systems* and the *International Joint Conference on Computational Intelligence*, which together have garnered nearly 70 citations and served as critical venues for disseminating cutting-edge research. His technical contributions span computer vision, machine learning, and swarm intelligence, with notable work on drone flocking optimization using NSGA-II and principal component analysis — a study inspired by the emergent coordination seen in natural systems like bird flocks and fish schools, with promising applications in defense and precision agriculture. Bansal has also championed the integration of data-driven computing and smart robotics into agricultural systems, as evidenced by his work on harvesting robots and machine learning in farming contexts. With a research portfolio exceeding 100 cumulative citations, his contributions have meaningfully advanced the application of intelligent systems to real-world challenges, making him an influential figure for students exploring bio-inspired computing and autonomous systems.
Research Focus
Key Achievements
Top Papers
- 1Congress on Intelligent Systems35 citations · 2021
- 2Proceedings of International Joint Conference on Computational Intelligence24 citations · 2019
- 3Computer Vision and Robotics11 citations · 2022
- 4Advances in Applications of Data-Driven Computing10 citations · 2021
- 5
- 6Congress on Intelligent Systems8 citations · 2021
- 7Harvesting Robots for Smart Agriculture5 citations · 2022
- 8
- 9Soft Computing for Problem Solving2 citations · 2021
- 10