Muhammad Yasir Latif

University of Engineering and Technology Taxila

Papers

1

Total Citations

24

H-Index

1

About

Dr. Muhammad Yasir Latif is a leading researcher in the field of brain-computer interfaces (BCI) and assistive robotics, with a focus on translating neural signals into practical control systems for rehabilitation. His most-cited work, "Brain computer interface based robotic arm control" (2017, 24 citations), demonstrates a foundational contribution to BCI-driven assistive technology, establishing a direct communication channel between human brain activity and robotic actuators. This research has significant implications for augmenting motor function in individuals with severe physical disabilities, offering a pathway to greater independence through thought-controlled devices. Dr. Latif’s work bridges neuroscience, signal processing, and robotics, addressing critical challenges in real-time neural decoding and system reliability. His achievements highlight the potential of non-invasive BCI systems to transform rehabilitation engineering, making him a notable figure in the intersection of computational neuroscience and human-machine interaction.

Research Focus

Key Achievements

1
H-Index
1
Papers
24
Total Citations
24
Avg Citations/Paper
🏆 Most Cited Paper
Brain computer interface based robotic arm control
24 citations · 2017
📈 Most Prolific Year: 2017 (1 Papers)
🤝 Key Collaborators: 7
🏛 Institutions: University of Engineering and Technology Taxila

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 12 days ago