Personal profile
Personal profile
Wu Jinglong
Subject: Biomedical Engineering/Computer Science and Technology/Mechanical Engineering
Direction: Cognitive Neuroscience/Brain-Computer Interface/Functional Brain Imaging
E-mail :wujl@bit.edu.cn
Office Address: 408, Building 7, Beijing Institute of Technology, No.5 Zhongguancun South Street, Haidian District, Beijing
Wu Jinglong is distinguished professor, PhD supervisor, and director of Brain Science and Neural Engineering Laboratory, Beijing Institute of Technology. His research focuses on brain function characterization, brain function imaging equipment and research and development, early diagnosis and intervention of neurological diseases, and is one of the earliest pioneers in brain function imaging research. Selected as national high-level leading talents in 2014; Founder and President of ICME, one of the most influential international society of brain and neuromedical engineering; Founded the international journal Neuroscience and Biomedical Engineering in the field; Executive Director of Japan Institute of Measurement and Automatic Control; Associate editor, Journal of Alzheimer's Disease; Associate editor of The International Journal of Information; Member of The IEEE/WIC Web Intelligence and Intelligent Agent Technology Advisory Board (currently there are only 13 members of this advisory Board in the world). In the past five years, more than 50 academic papers have been published, including 45 SCI papers and 5 EI papers. Presided over or participated in a total of 6 national and Beijing vertical projects, including major research projects such as major instruments of the National Natural Science Foundation and National Key research and development programs. A number of core technologies completed by the laboratory have been transformed into products, of which 5 research results have been transformed into clinical and scientific products in hospitals.
Subject: Biomedical Engineering/Computer Science and Technology/Mechanical Engineering
Direction: Cognitive Neuroscience/Brain-Computer Interface/Functional Brain Imaging
E-mail :wujl@bit.edu.cn
Office Address: 408, Building 7, Beijing Institute of Technology, No.5 Zhongguancun South Street, Haidian District, Beijing
Wu Jinglong is distinguished professor, PhD supervisor, and director of Brain Science and Neural Engineering Laboratory, Beijing Institute of Technology. His research focuses on brain function characterization, brain function imaging equipment and research and development, early diagnosis and intervention of neurological diseases, and is one of the earliest pioneers in brain function imaging research. Selected as national high-level leading talents in 2014; Founder and President of ICME, one of the most influential international society of brain and neuromedical engineering; Founded the international journal Neuroscience and Biomedical Engineering in the field; Executive Director of Japan Institute of Measurement and Automatic Control; Associate editor, Journal of Alzheimer's Disease; Associate editor of The International Journal of Information; Member of The IEEE/WIC Web Intelligence and Intelligent Agent Technology Advisory Board (currently there are only 13 members of this advisory Board in the world). In the past five years, more than 50 academic papers have been published, including 45 SCI papers and 5 EI papers. Presided over or participated in a total of 6 national and Beijing vertical projects, including major research projects such as major instruments of the National Natural Science Foundation and National Key research and development programs. A number of core technologies completed by the laboratory have been transformed into products, of which 5 research results have been transformed into clinical and scientific products in hospitals.
Research Interests
Research on Brain function Characterization, Brain function imaging Equipment and Development, Early Diagnosis and Intervention of Neurological Diseases
As one of the earliest pioneers in functional brain imaging research, he proposed a two-hand tactile brain representation model for the first time in the world, achieved a 120° wide field of view for the first time, and created the latest visual brain atlas, which laid a solid foundation for brain mechanism, robot bionic technology, evolutionary research, etc. At the same time, it has realized a number of applied research results, among which the tactile detector developed is applied to the early clinical diagnosis of nervous system diseases; The method of EEG functional network analysis is applied to the diagnosis of schizoneurotic diseases. Developed closed-loop neurofeedback system, applied to the early clinical diagnosis and treatment of Alzheimer's disease; The frontal EEG signal acquisition technology is applied to the brain-computer interface device of wearable device.
Education
Sep. 1980 -- Jun. 1984 Jilin Vocational Teachers College, Electrical Engineering, Bachelor
April 1989 - March 1991 Kyoto University, Master of Electrical Engineering
April 1991 - March 1994 Kyoto University, Electrical Engineering, PhD
April 1991 - March 1994 Kyoto University, Electrical Engineering, PhD
Professional Experience
Sep. 1980 -- Jun. 1984 Jilin Vocational Teachers College, Electrical Engineering, Bachelor
April 1989 - March 1991 Kyoto University, Master of Electrical Engineering
April 1991 - March 1994 Kyoto University, Electrical Engineering, PhD
April 1999 -- August 2008 Professor, School of Intelligent Mechanical Systems Engineering, National Kagawa University September 2006 -- August 2008 Visiting Researcher, National Institutes of Health, USA
September 2008 - February 2014, Okayama University, Japan, Faculty of Natural Sciences, Professor
March 2014 to present, Beijing Institute of Technology, Professor
April 1991 - March 1994 Kyoto University, Electrical Engineering, PhD
April 1999 -- August 2008 Professor, School of Intelligent Mechanical Systems Engineering, National Kagawa University September 2006 -- August 2008 Visiting Researcher, National Institutes of Health, USA
September 2008 - February 2014, Okayama University, Japan, Faculty of Natural Sciences, Professor
March 2014 to present, Beijing Institute of Technology, Professor
Research Achievement
1. 2000: Best Paper Award of the Japan Society of Measurement and Automatic Control (the top journal in the field of control and detection in Japan, only one best paper is selected every year)
2. 2000: Arita Award of the Japan Institute of Measurement and Automatic Control (the highest academic achievement award in the field of measurement and automatic detection in Japan, only one award is selected each year)
3. 2003: Japan Genuchi Award (a national award in the field of new product research and development in Japan, a total of 10 people have won the award since its establishment)
4. 2004:2004 International Conference on Active Media Technology, Excellent Paper (one of the two papers selected by the conference)
5. In 2009: 2009 IEEE/CME International Conference on Complex Medical Engineering, The Best Paper Award (one of three outstanding papers selected by the Conference)
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Multilevel white matter degeneration associated cognitive dysfunction in mild cognitive impairment
Alzheimer’s Disease Neuroimaging Initiative, Feb 2026, In: Molecular Psychiatry. 31, 2, p. 835-844 10 p.Research output: Contribution to journal › Article › peer-review
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Task demand modulates somatosensory-frontoparietal networks during delay and retrieval periods in tactile working memory
Sun, D., Zhang, J., Fu, S., Liu, J., Liu, Q., Funahashi, S., Murai, T., Wu, J., Wang, L. & Zhang, Z., Dec 2026, In: Communications Biology. 9, 1, 312.Research output: Contribution to journal › Article › peer-review
Open Access -
Temporal Characteristics of Microstate Changes Representing the Neuromodulation Effect of Acupuncture at PC6 With Twirling Manipulation
Wu, J., Zhang, J., Gao, B., Zhang, Z., Zhang, J., Yang, H., Xu, G. & Yan, T., 2026, In: IEEE Transactions on Computational Social Systems. 13, 1, p. 701-713 13 p.Research output: Contribution to journal › Article › peer-review
1 Link opens in a new tab Citation (Scopus) -
UniCross: Balanced Multimodal Learning for Alzheimer’s Disease Diagnosis by Uni-modal Separation and Metadata-Guided Cross-Modal Interaction
Yin, L., Ye, C., Liu, T., Wu, J. & Yan, T., 2026, Medical Image Computing and Computer Assisted Intervention, MICCAI 2025 - 28th International Conference, Proceedings. Gee, J. C., Hong, J., Sudre, C. H., Golland, P., Alexander, D. C., Iglesias, J. E., Venkataraman, A. & Kim, J. H. (eds.). Springer Science and Business Media Deutschland GmbH, p. 638-648 11 p. (Lecture Notes in Computer Science; vol. 15974 LNCS).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review
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Amplitude of Intracranial Induced Electric Fields Does Not Linearly Decrease with Age: A Computational Study of Anatomical Effects in Adults
Zhang, J., Yan, Z., Kang, A., Ouyang, J., Ma, L., Wang, X., Wu, J., Suo, D., Funahashi, S., Meng, W., Wang, L. & Zhang, J., Mar 2025, In: Biosensors. 15, 3, 185.Research output: Contribution to journal › Article › peer-review
Open Access