Aasim Raheel

University of Engineering and Technology Taxila

Papers

Total Citations

H-Index

About

Aasim Raheel is a researcher at the forefront of human-computer interaction and assistive technology, with a primary focus on Brain-Computer Interfaces (BCI) and wearable sensing. His most cited work, "Brain computer interface based robotic arm control" (2017, 24 citations), demonstrates his foundational contribution to translating neural activity into actionable control signals for rehabilitation devices, directly augmenting human motor function. Building on this expertise, Raheel advanced the field of activity recognition with his 2020 study on "Recognizing Human-Object Interaction (HOI) Using Wrist-Mounted Inertial Sensors" (6 citations). This work addresses a critical gap in context-aware computing by enabling the detection of objects and interactions through wearable motion data, with broad applications in security, robotics, and health monitoring. By bridging the gap between neural control and practical sensor-based recognition, Raheel’s research is paving the way for more intuitive, responsive assistive systems. His work is particularly valuable for students and researchers exploring non-invasive BCI applications and the integration of inertial sensors for real-world human activity understanding.