Tanjila Farah
Papers
1
Total Citations
11
H-Index
1
About
Driven by a commitment to public health and safety, Tanjila Farah’s research lies at the intersection of robotics, computer vision, and intelligent automation. Her most cited work, “A ROS-based Voice Controlled Robotic Arm for Automatic Segregation of Medical Waste Using YOLOv3” (2022, 11 citations), exemplifies her focus on developing practical, human-centered solutions for critical challenges. In response to the COVID-19 pandemic, she engineered a system that integrates voice control with the YOLOv3 object detection algorithm, enabling a robotic arm to autonomously identify and segregate hazardous medical waste. This innovation directly addresses the urgent need to minimize frontline health workers’ and waste disposers’ exposure to transmissible viruses, showcasing her ability to apply cutting-edge AI and robotics to real-world crises. Farah’s work demonstrates a clear impact: by automating a dangerous manual task, she advances both operational efficiency and occupational safety. Her contributions highlight a promising trajectory in assistive robotics, where technology is harnessed to protect human life and enhance environmental stewardship in healthcare settings.
Research Focus
Key Achievements
Top Papers
- 1