Munia Ferdoushi

Bangladesh University of Engineering and Technology

Papers

Total Citations

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About

Munia Ferdoushi is a researcher at the forefront of human-computer interaction and assistive robotics, with a particular focus on deep learning-driven gaze control systems. Her most cited work, “Deep Learning-Based Eye Gaze Controlled Robotic Car” (2018), has garnered 7 citations and demonstrates her core contribution: developing non-invasive, intelligent interfaces that empower individuals with motor disabilities to navigate and interact with their environment. By integrating gaze estimation with autonomous control, Ferdoushi’s research bridges computer vision and robotics, offering practical solutions for assistive devices, safe driving, and rehabilitation. Her work addresses critical challenges in real-time eye tracking, pushing the boundaries of how deep learning can decode human intent from subtle visual cues. Beyond this flagship paper, she explores applications in human-robot collaboration and diagnostic tools, making her a rising voice in accessible technology. Ferdoushi’s research not only advances theoretical understanding but also holds tangible promise for improving quality of life, marking her as a dedicated innovator in the field of intelligent assistive systems.