Samiha Tasnim

North South University

Papers

1

Total Citations

11

H-Index

1

About

Samiha Tasnim is a researcher at the forefront of robotics and intelligent automation, with a focused interest in developing practical, socially impactful systems. Her most cited work, a 2022 paper with 11 citations, introduces a ROS-based voice-controlled robotic arm integrated with a YOLOv3 object detection model for the automatic segregation of medical waste. This contribution directly addresses a critical challenge amplified by the Covid-19 pandemic: ensuring the safety of healthcare workers and waste handlers by minimizing direct contact with hazardous materials. By combining voice commands with real-time visual recognition, Tasnim’s system offers a scalable, human-centered solution for improving waste management in clinical settings. Her research exemplifies how robotics and computer vision can be deployed for public health and safety, demonstrating a clear commitment to engineering solutions with tangible societal benefits. This notable work positions her as an emerging voice in applied robotics, where her innovations continue to inspire safer, more efficient automated systems.

Research Focus

Key Achievements

1
H-Index
1
Papers
11
Total Citations
11
Avg Citations/Paper
🏆 Most Cited Paper
A ROS-based Voice Controlled Robotic Arm for Automatic Segregation of Medical Waste Using YOLOv3
11 citations · 2022
📈 Most Prolific Year: 2022 (1 Papers)
🤝 Key Collaborators: 5
🏛 Institutions: North South University

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago