Muhammad Farrukh Qureshi
Papers
2
Total Citations
45
H-Index
2
About
Dr. Muhammad Farrukh Qureshi is a leading researcher at the intersection of human–computer interaction (HCI), biomedical engineering, and soft robotics. His work focuses on decoding physiological signals to create intuitive, non-invasive interfaces for medical applications. In his highly cited 2022 study (42 citations), Dr. Qureshi pioneered the use of spectral image-based analysis of multiday surface electromyography (EMG) signals, combined with convolutional neural networks (CNNs), to classify hand motions. This breakthrough directly addresses the challenge of reliable myoelectric control for wearable prostheses and robotic limbs, enhancing the adaptability of HCI systems over time. More recently, his 2024 work on soft robotic grippers explores precision control for delicate biomedical tasks, emphasizing safe, compliant manipulation for surgical or assistive devices. By bridging signal processing, machine learning, and soft robotics, Dr. Qureshi’s contributions are advancing the next generation of adaptive prosthetics and human-centered robotic systems. His research not only demonstrates high citation impact but also holds tangible promise for improving quality of life through smarter, more responsive medical technologies.
Research Focus
Key Achievements
Top Papers
- 1
- 2