Mahsa Shoaran
Papers
1
Total Citations
4
H-Index
1
About
Dr. Mahsa Shoaran is a leading researcher in neural engineering and energy-efficient machine learning for biomedical applications. Her work focuses on developing intelligent, low-power neural interfaces and decoding algorithms for next-generation prosthetic systems. Among her notable contributions, she has pioneered hardware-efficient electromyography (EMG) decoders that integrate attractor-based neural networks, enabling more natural and dexterous control of robotic prosthetic hands. This work addresses a critical limitation of current commercial prostheses, which rely on basic on/off commands, by allowing precise finger movement decoding with significantly reduced power consumption. Her research bridges the gap between advanced machine learning and real-time, implantable or wearable biomedical devices. With her most-cited paper from 2024 already garnering attention in the field, Dr. Shoaran is establishing herself as a key innovator in energy-constrained neural decoding. Her achievements are particularly impactful for the development of compact, long-lasting prosthetic systems that can restore hand functionality to amputees, marking a significant step toward clinically viable brain-machine interfaces.
Research Focus
Key Achievements
Top Papers
- 1