Dr. Shengjie Qi received the B.Sc. degree in engineering from Tianjin University in 2019, obtained his Ph.D. degree in Precision Instrument and Machinery from Beihang University in January 2026. He started a postdoctoral fellowship at the CenBRAIN Neurotech Center of Excellence from June 2026.

Dr. Qi research fields include brain-computer interface focusing on Chinese language neuroprostheses, he is also interested on atomic magnetometer-based MEG systems, covering signal simulation, source localization, calibration, and performance evaluation, with the goal of enhancing brain functional imaging accuracy through computational modeling and algorithm development.

[1]  Shengjie Qi, Xinda Song, et al., “The impact of channel density, inverse solutions, connectivity metrics and calibration errors on OPM-MEG connectivity analysis”. Neuroimage, Vol. 308, Issue 121056, 2025.

[2]  Shengjie Qi, Xinda Song, et al., “Investigating the effects of calibration errors on the spatial resolution of OPM-MEG beamformer imaging”. Neuroimage, Vol. 310, Issue 121078, 2025.

[3] Shengjie Qi, Yuyu Ma, et al., “Evaluating the effect of OPM array errors on the multiple dipole localization accuracy of SERF-MEG”. Measurement, Vol. 254, Issue 117764, 2025.