Sirajum Munir

Robert Bosch (United States), Rajshahi University of Engineering and Technology

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Total Citations

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About

Sirajum Munir’s research lies at the intersection of intelligent systems, healthcare technology, and real-time computer vision, with a focus on creating practical, human-centered solutions. A key contribution is their work on Healthcare Cognitive Assistants (HCAs), as detailed in their highly cited 2021 review (68 citations), which defines and analyzes intelligent agents that augment human cognition to improve health outcomes. This foundational work has shaped the design of adaptive, context-aware systems for diverse users. Munir also advances perception for autonomous systems, notably through a 2022 study on mmWave radar and camera fusion (10 citations), achieving high-resolution depth imaging up to 300 meters—a breakthrough for robotic geo-fencing and surveillance. Most recently, their 2025 paper on RTDRNet-lite (5 citations) introduces a lightweight, real-time detection framework for robotic waste sorting, demonstrating a commitment to scalable, deployable AI. Across these projects, Munir’s work consistently bridges theoretical innovation with tangible impact, earning recognition for enabling safer, smarter, and more efficient autonomous systems in healthcare, security, and sustainability.