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Ting Li
Institute of Biomedical Engineering
Peking Union Medical College
Tianjin
Language: English, Chinese
Optoelectronics
Ai
Robotics
Neuroscience
Diagnostics
Imaging
Brain-Computer Interface
Non-Invasive
Photonics
Medical Devices
Areas of Focus
- Medical Optoelectronics
- Medical Artificial Intelligence and Robotics
Work Experience
- 2012-2017: Associate Professor at the School of Electronic Science and Engineering, University of Electronic Science and Technology of China
- 2017-present: Researcher at current institution
Academic Background & Achievements
- 2000-2010: Bachelor's, Master's, and Doctorate at Huazhong University of Science and Technology
- Postdoctoral research in the USA under Steven L. Jacques and Guoqiang Yu
Publications
- Simultaneously enhancing sensitivity and operation range of flexible pressure sensor by constructing a magnetic-guided microstructure in laser-induced graphene composite, L. Mao, T. Pan, L. Lin, Y. Ke, H. Su, Y. Li, W. Huang, Y. Lin, T. Li, 2024
- Graph Convolution Neural Network based End-to-end Channel Selection and Classification of Motor Imagery Brain-computer Interfaces, B. Sun, Z. Liu, Z. Wu, C. Mu, T. Li, 2023
- Open access dataset integrating EEG and fNIRS during Stroop tasks, Z. Chen, C. Gao, T. Li, X. Ji, S. Liu, M. Xiao, 2023
- Golden Subject Is Everyone: A Subject Transfer Neural Network for Motor Imagery-based Brain Computer Interfaces, B. Sun, Z. Wu, Y. Zhang, H. Zhang, X. Hao, Z. Wei, T. Li, 2022
- Effects of indoor VOCs from paint on human brain activities during working memory tasks: An electroencephalogram study, C. Gao, X. Zhao, T. Li, 2022
- Non-invasive optical monitoring of human lungs: Monte Carlo modeling of photon migration in Visible Chinese Human and an experimental test on a human, J. Guo, S. Meng, H. Su, B. Zhang, T. Li, 2022
- Characteristics of frontal activity relevant to cognitive function in bipolar depression: an fNIRS study, C. Gao, H. Zhou, J. Liu, J. Xiu, Q. Huang, Y. Liang, T. Li, S. Hu, 2022
- EEG Motor Imagery Classification with Sparse Spectrotemporal Decomposition and Deep Learning, B. Sun, X. Zhao, H. Zhang, R. Bai, T. Li, 2022
- A Novel Approach to Access Capacities of Red Cells in Dissolving Oxygen and Carrying Oxygen Based on a Portable Near-infrared Spectroscopy Device, T. Li, Y. Zhao, Y. Sun, K. Li, W. Li, M. Duan, C. Gao, 2019
- Noninvasive and wearable optical monitoring of brain death with aid of a protocol at differentiated fractions of oxygen inspired, T. Li, B Pan, Y. Gao, X. Huang, J. Pu, C. Huang, 2019
- Alternations of hemodynamic parameters during Chinese cupping therapy assessed by an embedded near-infrared spectroscopy monitor, C. Gao, M. Wang, L. He, Y. He, T. Li, 2019
- Optimal hemoglobin extinction coefficient dataset for near-infrared spectroscopy, Y. Zhao, L. Qiu, Y. Sun, C. Huang, T. Li, 2017
- Significant and sustaining elevation of blood oxygen induced by Chinese cupping therapy as assessed by near-infrared spectroscopy, T. Li, Y. Li, Y. Lin, Kai Li, 2017
- Bedside monitoring of patients with shock using a portable spatially-resolved near-infrared spectroscopy, T. Li, M. Duan, K. Li, G. Yu, Z. Ruan, 2015
- Simultaneous measurement of deep tissue blood flow and oxygenation using noncontact diffuse correlation spectroscopy flow-oximeter, T. Li, Y. Lin, Y. Shang, L. He, C. Huang, M. Szabunio, G. Yu, 2013
Awards
- 2024: Second Prize of Tianjin Science and Technology Progress Award
- 2023: Chinese Medical Science Award
- 2019: Melvin H. Knisely International Award
