Asir Intisar Khan

Bangladesh University of Engineering and Technology

Papers

Total Citations

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About

Asir Intisar Khan is a robotics and automation researcher whose work focuses on developing intelligent, human-centered robotic systems for real-world applications. His key research areas include voice-controlled robotics, computer vision-based gesture recognition, GPS-guided autonomous navigation, and deep learning for human-robot interaction. Khan’s major contributions lie in creating accessible, cost-effective robotic solutions for disaster management, industrial automation, and assistive technologies. His most cited work, “Bangla voice controlled robot for rescue operation in noisy environment” (19 citations), pioneered a novel algorithm for accurate Bangla speech detection in challenging acoustic conditions, enabling life-saving rescue operations. He further advanced human-robot collaboration through “Real time hand movement controlled robotic arm for risk prevention” (10 citations), which used image processing to precisely mimic human hand movements without sensor noise. Khan also developed a low-cost GPS-guided autonomous transporter (7 citations) for disaster zones, and a deep learning-based eye gaze-controlled robotic car (7 citations) to assist motor-disabled individuals. His work demonstrates a consistent commitment to bridging the gap between advanced robotics and practical, affordable solutions for society’s most pressing challenges.