Papers
1
Total Citations
8
H-Index
1
About
Ishani Mondal’s research lies at the intersection of computer vision, image processing, and embedded systems, with a focus on enabling intelligent, real-world applications through visual data. Her most cited work, “Controlling an embedded robot through image processing based object tracking using MATLAB” (2016, 8 citations), demonstrates a pioneering approach to integrating object detection—a core computer vision task—with robotic control. By leveraging MATLAB for real-time image analysis, she developed a system that allows robots to autonomously track and respond to semantic objects like humans or vehicles, bridging the gap between algorithmic vision and physical automation. This contribution highlights her ability to translate foundational CV techniques into practical, embedded solutions for domains such as smart homes and assistive robotics. Though early in her career, Mondal’s work underscores the potential of low-cost, software-driven object tracking to enhance human-robot interaction. Her research continues to explore how efficient image processing can empower autonomous systems, making her a promising voice in applied computer vision and robotics.
Research Focus
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Top Papers
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