MENG Jianjun

MENG Jianjun is an Associate Professor in the Department of Mechanical Engineering at Shanghai Jiao Tong University. His research focuses on bio-mechatronics, particularly brain-computer interfaces (BCI), neuromodulation, and BCI-assisted neural rehabilitation. He has led several research projects, including work on intelligent controller optimization algorithms and machine vision platforms in life sciences. MENG has published extensively in top-tier journals such as Science Robotics, IEEE Trans. Biomedical Engineering, and National Science Review. He is also actively involved in recruiting students for both Master's and Ph.D. programs in the field of BCI and neural engineering.

Jianjun Meng is a researcher at Shanghai Jiao Tong University specializing in Brain computer interface, EEG Signal Processing, and Neuromodulation. Their work focuses on developing non-invasive methods for robotic arm control using EEG, enhancing neural tracking for robotic device control, and exploring hybrid-modality BCIs that combine motor imagery with selective sensation. Meng's research also investigates the impact of tactile stimulation on BCI performance, particularly in stroke patients, and explores the use of wearable ultrasound interfaces for prosthetic hand control. Additionally, they study the effects of soft drinks on resting state EEG and BCI performance, and develop frameworks for motor imagery BCI using tendon vibration-induced sensations. Their contributions span both fundamental research and practical applications in bio-robotics and neural interfaces.