Anuradha Saha

Jadavpur University, Netaji Subhas University of Technology

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Total Citations

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About

Anuradha Saha is a pioneering researcher at the intersection of neuroscience, biomedical engineering, and artificial intelligence, with a primary focus on **brain-computer interfacing (BCI)** for **neuro-motor rehabilitation** and **prosthetic control**. Her work centers on decoding motor imagery from EEG signals to create intuitive, brain-actuated assistive technologies. In her most cited work (2016, 7 citations), she developed a system enabling an artificial limb to mimic arm gestures using a cascade-correlation learning architecture, directly addressing the challenges faced by patients with prosthesis defects in performing daily tasks. Her 2024 paper introduces a novel brain-actuated 2-loop position control system that modulates speed and position of a robotic limb, offering a sophisticated approach for neuro-motor rehabilitation. Saha’s contributions bridge the gap between raw neural signals and practical, real-time control of artificial limbs, with her research presented at international forums like the C3IT conference. By combining machine learning with BCI, she is advancing the frontier of assistive robotics, empowering individuals with motor disabilities to regain functional independence through thought-driven technology.