Subrata Das

Bangladesh University of Engineering and Technology

Papers

Total Citations

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About

Dr. Subrata Das is a researcher at the forefront of assistive robotics and human-computer interaction, with a particular focus on leveraging deep learning for gaze-controlled systems. His most-cited work, "Deep Learning-Based Eye Gaze Controlled Robotic Car" (2018, 7 citations), demonstrates a pioneering approach to integrating eye gaze tracking with autonomous vehicle control. This research addresses critical challenges in human-robot collaboration, offering a non-invasive interface that could empower individuals with motor disabilities and enhance safety in autonomous driving. By applying deep neural networks to real-time gaze estimation, Dr. Das has contributed to making assistive technologies more intuitive and responsive. His work bridges the gap between computer vision, robotics, and accessibility, opening new pathways for hands-free control systems. Though early in his career, his contributions highlight a commitment to developing inclusive technologies that translate complex machine learning models into practical, life-enhancing applications. Dr. Das’s research continues to inspire innovations in how humans interact with intelligent machines, particularly for those who need alternative communication and control methods.