Mohammad Raihanul Bashar

Independent University, Concordia University

Papers

Total Citations

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About

Mohammad Raihanul Bashar’s research bridges critical gaps in safety and human-computer interaction, focusing on two distinct yet impactful domains: landmine detection and virtual reality (VR) usability. His early work, “2D Surface Mapping for Mine Detection Using Wireless Network” (2017), addresses the global crisis of approximately 500 million buried landmines across 70 countries. By proposing a wireless sensor network approach for surface mapping, Bashar contributed a scalable, low-cost method to locate hidden mines—a vital step toward saving lives and mitigating economic burdens in affected regions. This foundational paper has garnered 4 citations, reflecting its relevance in humanitarian engineering. More recently, Bashar has advanced VR technology with his 2025 study, “An Early Warning System Based on Visual Feedback for Light-Based Hand Tracking Failures in VR Head-Mounted Displays.” This work tackles a pervasive issue in VR: hand-tracking inaccuracies caused by camera hardware and software limitations. By developing a visual feedback system that alerts users to tracking failures, he enhances immersion and reliability in VR environments. With 1 citation to date, this innovative contribution underscores his commitment to improving user experience in emerging technologies. Bashar’s dual focus on life-saving detection systems and cutting-edge VR interfaces demonstrates a versatile research portfolio, blending societal impact with technological refinement.