Papers

1

Total Citations

29

H-Index

1

About

Dilshad Islam is a rising researcher in robotics and embedded systems, with a primary focus on sensor-based automation and intelligent control. His most-cited work, "Design and Implementation of an Ultrasonic Sensor-Based Obstacle Avoidance System for Arduino Robots" (2023, 29 citations), presents a practical, low-cost solution for autonomous navigation. By integrating ultrasonic sensors with Arduino microcontrollers, Islam’s system enables robots to detect and avoid obstacles in real time, significantly improving safety in dynamic environments—a critical contribution to reducing road accidents and enhancing autonomous vehicle capabilities. This work bridges artificial intelligence and hardware design, offering a scalable framework for educational and industrial applications. Islam’s research demonstrates a strong commitment to developing accessible, real-world robotics solutions, and his growing citation count reflects the relevance of his contributions to the fields of robotics, AI, and embedded systems. His work continues to inspire students and researchers exploring affordable automation and intelligent sensor integration.

Research Focus

Key Achievements

1
H-Index
1
Papers
29
Total Citations
29
Avg Citations/Paper
🏆 Most Cited Paper
Design and Implementation of an Ultrasonic Sensor-Based Obstacle Avoidance System for Arduino Robots
29 citations · 2023
📈 Most Prolific Year: 2023 (1 Papers)
🤝 Key Collaborators: 7
🏛 Institutions: Chattogram Veterinary and Animal Sciences University

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 11 days ago