Yasmeen Hmaidan

University of Toronto

Papers

1

Total Citations

13

H-Index

1

About

Yasmeen Hmaidan is a pioneering researcher at the intersection of brain-computer interfaces (BCIs) and assistive robotics, with a focus on creating seamless, thought-controlled systems for individuals with motor impairments. Her most cited work, "A Brain-Controlled Quadruped Robot: A Proof-of-Concept Demonstration" (2023, 13 citations), showcases her ability to translate neural signals into real-world robotic actions, enabling users to command a quadruped robot using only brain activity. This breakthrough demonstrates how discrete mental commands can control complex robotic platforms, paving the way for future personal assistant systems that operate without physical input. Hmaidan’s research addresses critical challenges in BCI reliability and robotic integration, offering transformative potential for people with severe disabilities. Her work has been recognized for its innovation in human-robot interaction, bridging the gap between neural decoding and practical assistive technology. With a growing citation impact, Hmaidan continues to push boundaries in neuroprosthetics and autonomous systems, inspiring new directions in accessible robotics.

Research Focus

Key Achievements

1
H-Index
1
Papers
13
Total Citations
13
Avg Citations/Paper
🏆 Most Cited Paper
A Brain-Controlled Quadruped Robot: A Proof-of-Concept Demonstration
13 citations · 2023
📈 Most Prolific Year: 2023 (1 Papers)
🤝 Key Collaborators: 2
🏛 Institutions: University of Toronto

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 14 days ago