Papers

7

Total Citations

256

H-Index

4

About

Mohammad Rokonuzzaman is a prolific researcher whose work sits at the intersection of autonomous vehicles, mobile robotics, and intelligent systems. With a career spanning over two decades — from early explorations of discrete event control in healthcare robotics (2002) to cutting-edge reviews on autonomous navigation — he has consistently pushed the boundaries of how machines perceive, navigate, and interact with their environments. His most influential contribution, a 2021 review of path tracking controllers for autonomous vehicles, has garnered 175 citations, establishing him as a leading voice in the autonomous driving community. This work critically evaluates control strategies that underpin safe and efficient vehicle navigation — a cornerstone challenge for the industry. Complementing this, his comprehensive reviews on autonomous mobile robot navigation (collectively exceeding 65 citations) provide the research community with essential roadmaps of progress and open challenges in the field. Rokonuzzaman has also made practical contributions in machine learning-based vehicle identification using ROS, intelligent Internet of Robotic Things frameworks, and PID-controlled line-following robots. His breadth — spanning theoretical reviews, applied machine learning, and IoT-robotics integration — reflects a researcher deeply committed to advancing autonomous systems across both industrial and real-world humanitarian applications.

Research Focus

Key Achievements

4
H-Index
7
Papers
256
Total Citations
37
Avg Citations/Paper
🏆 Most Cited Paper
Review and performance evaluation of path tracking controllers of autonomous vehicles
175 citations · 2021
📈 Most Prolific Year: 2025 (2 Papers)
🤝 Key Collaborators: 23
🏛 Institutions: Deakin University, University of Asia Pacific, Islamic University of Technology, Centre For Cold Ocean Resources Engineering

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 14 days ago