Jyoti Bali
Papers
6
Total Citations
24
H-Index
3
About
Jyoti Bali is a dedicated engineering educator and researcher whose work sits at the intersection of signal processing pedagogy, autonomous robotics, and Industry 4.0 technologies. Her research primarily focuses on two interconnected domains: developing innovative teaching methodologies for mathematically intensive subjects like Signals & Systems and Digital Signal Processing, and advancing autonomous mobile robot navigation through sensor fusion and energy-efficient path planning. Bali’s most cited work, “An Experience, Using Software Based Tools for Teaching and Learning Mathematically Intensive Signal Processing Theory Concepts” (10 citations), highlights her commitment to making complex theoretical concepts accessible through powerful software tools. She has also made significant contributions to undergraduate research skill development, as evidenced by her 2020 paper on fostering research thinking in interdisciplinary engineering programs. In the robotics domain, Bali has explored critical challenges for Industry 4.0, including power-efficient sensing strategies and collision-free path planning algorithms for autonomous mobile robots. Her recent 2025 overview of collision-free path planning techniques demonstrates her ongoing engagement with dynamic environment navigation. With a growing body of work that bridges educational innovation and practical robotics applications, Bali continues to shape how future engineers learn and implement complex engineering systems.
Research Focus
Key Achievements
Top Papers
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- 5Implementation of Sensor Fusion for a Mobile Robot Application2 citations · 2021
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