Qin is a first-year Ph.D. student in the Electrical and Computer Engineering Department at NYU Tandon School of Engineering, advised by Professor S. Farokh Atashzar. Her research will be focused on explainable AI in medical signal processing for human-robot interfacing. Before joining the Ph.D. program, she obtained a Master’s degree in Computer Engineering from NYU Tandon and a Master’s degree in Quantitative Methods and Modeling from City University of New York, Baruch College.

Research Interests
Medical Signal and Image Processing, Explainable AI, Human-Robot Interfacing, Neurorehabilitation, Deep Learning

P. Gulati, Q. Hu, and S. F. Atashzar, “Toward Deep Generalization of Peripheral EMG-Based Human-Robot Interfacing: A Hybrid Explainable Solution for NeuroRobotic Systems,” IEEE Robotics and Automation Letters, vol. 6, no. 2, pp. 2650–2657, Apr. 2021.

T. Sun, Q. Hu, P. Gulati, and S. F. Atashzar, “Temporal Dilation of Deep LSTM for Agile Decoding of sEMG: Application in Prediction of Upper-limb Motor Intention in NeuroRobotics,” IEEE Robotics and Automation Letters, pp. 1–1, 2021.

Research Centers, Labs, and Groups