Kavita Kavita
Papers
5
Total Citations
53
H-Index
4
About
Kavita Kavita is a researcher whose work lies at the intersection of swarm intelligence, robotics, and wireless sensor networks. Her primary contributions focus on optimal path planning, where she has pioneered hybrid metaheuristic algorithms that combine techniques like the Bat Algorithm and Cuckoo Search to solve complex navigation problems. Her 2019 paper, "Optimal Path Planning Using Swarm Intelligence Based Hybrid Techniques," stands as her most cited work with 29 citations, demonstrating the community's interest in her efficient, collision-free routing solutions for applications ranging from robotics to bioinformatics. Kavita has also advanced wireless sensor network efficiency through her work on the SC-MCHMP protocol, a score-based cluster-level hybrid multi-channel MAC protocol designed to reduce collisions and conserve energy. More recently, she has explored deep learning applications, including handwritten digit recognition using convolutional neural networks. Her cumulative citation count of over 50 reflects a growing impact in optimization and intelligent systems, making her a notable voice in the development of nature-inspired algorithms for real-world engineering challenges.
Research Focus
Key Achievements
Top Papers
- 1Optimal Path Planning Using Swarm Intelligence Based Hybrid Techniques29 citations · 2019
- 2Optimal Path Planning using Hybrid Bat Algorithm and Cuckoo Search10 citations · 2018
- 3Analysis of Computational Intelligence Techniques for Path Planning8 citations · 2020
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