Dr. Manvir Kaur

Assistant Professor (Research) , Data Science and Artificial Intelligence, Biomedical Signals, Brain Computer Interface

Ph.D. (Electronics and Communication Engineering), M.Tech (Electronics and Communication Engineering), B. Tech (Electronics and Communication Engineering)

Areas of Interest:

SCI publications

M. Kaur, V. Kumar, and R. Upadhyay, “Explainable AI framework and quantum machine learning classifier-based brain connectivity feature classification for MI-EEG BCI applications,” Soft Computing, 2026, doi: 10.1007/s00500-025-11045-5.
M. Kaur, R. Upadhyay, and V. Kumar, “A hybrid deep learning framework using scaling-basis chirplet transform for motor imagery EEG recognition in brain–computer interface applications,” Int. J. Imaging Syst. Technol., vol. 34, no. 4, Jul. 2024, doi: 10.1002/ima.23127.
M. Kaur, R. Upadhyay, and V. Kumar, “E-CNNet: Time-reassigned multisynchrosqueezing transform-based deep learning framework for MI-BCI task classification,” Int. J. Imaging Syst. Technol., vol. 33, no. 4, pp. 1406–1423, 2023, doi: 10.1002/ima.22866.

Testimonial

Dr. Manvir Kaur is an Assistant Professor (Research Contractual) in the Department of Data Science and AI at the Thapar School of Liberal Arts and Sciences. Her research focuses on EEG signal processing, brain computer interface systems, and Explainable Artificial Intelligence for biomedical applications. Through her academic and research contributions, she aims to promote research and innovation in the areas of AI, neuroscience, and healthcare.