Suriya Prakash Muthukrishnan
Papers
3
Total Citations
20
H-Index
2
About
Suriya Prakash Muthukrishnan is a rising researcher at the intersection of wearable robotics, neural engineering, and human-machine interaction. His work focuses on developing intelligent, adaptive exosuits and decoding neural signals to augment human motor performance. Muthukrishnan’s major contributions include the creation of an integrated dynamic closed-loop simulation platform for elbow flexion augmentation using an upper limb exosuit model, which provides critical insights into how wearable devices alter human biomechanics—a foundational step for optimizing exosuit design. He also pioneered BiCurNet, a novel neural decoder that estimates biceps curl trajectories from pre-movement EEG signals, addressing a key gap in early kinematic parameter estimation for positive robotic augmentation. Additionally, his adaptive gravity compensation control strategy for cable-driven soft exosuits eliminates the need for complex model-based assumptions, making real-world assistance more practical. With his most cited paper garnering 10 citations and his work appearing in top venues like *IEEE Transactions on Neural Systems and Rehabilitation Engineering*, Muthukrishnan is establishing himself as a forward-thinking contributor to assistive robotics and brain-machine interfaces.
Research Focus
Key Achievements
Top Papers
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