Aishwarya Golla
Papers
1
Total Citations
6
H-Index
1
About
Aishwarya Golla is a researcher at the forefront of computer vision and deep learning, with a focused expertise in human action recognition for intelligent surveillance systems. Her most-cited work, "Human Action Recognition using Computer Vision and Deep Learning Techniques" (2023, 6 citations), tackles a critical challenge in smart video monitoring: accurately and efficiently detecting human movement in high-resolution CCTV footage. Golla’s contributions address the inherent complexity of processing large video datasets, where traditional methods falter due to time and resolution constraints. By leveraging advanced deep learning architectures, she has proposed solutions that enhance the speed and reliability of activity detection, paving the way for more responsive security and monitoring applications. Her research not only advances the technical frontier of video analytics but also holds practical implications for public safety and automated surveillance. With her work gaining traction in the academic community, Golla is establishing herself as a promising voice in applied AI, demonstrating how deep learning can transform raw video data into actionable intelligence.
Research Focus
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Top Papers
- 1