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Md Rafiqul Islam
Research Associate

Md Rafiqul Islam

UNSW Canberra
School of Eng & Tech

Dr Rafiqul Islam is currently a postdoctoral researcher at  UNSW Canberra. He received a PhD from the University of South Australia (UniSA) in 2022. Before joining UniSA, he was an assistant engineer at Impulse Engineering and Power Ltd., Bangladesh. He completed a Bachelor of Science in Electrical and Electronic Engineering from Eastern University in 2016. His research interests include computer vision, SLAM, and sensor fusion for autonomous multi-robot navigation.
E-mail
md_rafiqul.islam@adfa.edu.au
Location
Room 370, Building 21 School of Engineering and IT (SEIT) University of New South Wales (UNSW) Australian Defence Force Academy (ADFA) Canberra ACT
  • Journal articles | 2022
    Hossain T; Habibullah H; Islam R; Padilla RV, 2022, 'Local path planning for autonomous mobile robots by integrating modified dynamic-window approach and improved follow the gap method', Journal of Field Robotics, 39, pp. 371 - 386, http://dx.doi.org/10.1002/rob.22055
    Journal articles | 2022
    Hossain T; Habibullah H; Islam R, 2022, 'Steering and Speed Control System Design for Autonomous Vehicles by Developing an Optimal Hybrid Controller to Track Reference Trajectory', MACHINES, 10, http://dx.doi.org/10.3390/machines10060420
    Journal articles | 2022
    Islam R; Habibullah H, 2022, 'Place Recognition with Memorable and Stable Cues for Loop Closure of Visual SLAM Systems †', Robotics, 11, http://dx.doi.org/10.3390/robotics11060142
    Journal articles | 2022
    Sun N; Li CT; Chan H; Islam MZ; Islam MR; Armstrong W, 2022, 'How Do Organizations Seek Cyber Assurance? Investigations on the Adoption of the Common Criteria and Beyond', IEEE Access, 10, pp. 71749 - 71763, http://dx.doi.org/10.1109/ACCESS.2022.3187211
  • Conference Papers | 2021
    Islam R; Habibullah H, 2021, 'A Semantically Aware Place Recognition System for Loop Closure of a Visual SLAM System', in 2021 4th International Conference on Mechatronics, Robotics and Automation, ICMRA 2021, pp. 117 - 121, http://dx.doi.org/10.1109/ICMRA53481.2021.9675715