Zhanyang Qian | Neuroscience | Research Excellence Award

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Dr. Zhanyang Qian | Neuroscience | Research Excellence Award

Nantong University | China

Dr. Zhanyang Qian is a neural regeneration scientist specializing in innovative therapeutic strategies for spinal cord injury, with a strong focus on immunomodulation, neuroinflammation, and cellular repair mechanisms. His research integrates advanced molecular immunology, mitochondrial biology, and translational animal models to uncover pathways that drive neural protection and functional recovery. He has secured multiple national-level grants and prestigious provincial talent recognitions, reflecting his rapidly rising impact in the field. Dr. Qian has authored a robust portfolio of high-impact publications, including several first- and corresponding-author papers in top-tier journals, with his work cited by leading neuroscience outlets. His studies have advanced understanding of microglial and astrocytic responses, efferocytosis in senescent macrophages, and mitophagy-driven neuroprotection, contributing valuable insights to the development of targeted interventions for central nervous system injury. Beyond research, he contributes to the scientific community as a committee member in neurological regeneration, serves on an editorial board, and reviews for reputable journals. Dr. Qian is recognized for his leadership in pioneering mechanistic discoveries and translating them toward clinically relevant therapeutic strategies, positioning him as an emerging expert in spinal cord injury repair and neural regeneration.

Profiles: Scopus | Orcid

Featured Publications

Xia, M., Li, C., Zhang, Y., Wang, T., Zhang, C., Zhou, J., Zhu, X., Hong, H., Li, H., Qian, Z., et al. (2025). GLP-1R activation restores Gas6-driven efferocytosis in senescent foamy macrophages to promote neural repair. Redox Biology, 103857.

Xia, M., Li, C., Chen, J., Wu, C., Zhang, J., Hong, H., Jiang, J., Xu, G., Qian, Z., & Cui, Z. (2025). Activation of FANCC attenuates mitochondrial ROS-driven necroptosis by targeting TBK1-dependent mitophagy in astrocytes after spinal cord injury. Theranostics.

Qian, Z., Li, R., Zhao, T., Xie, K., Li, P., Li, G., Shen, N., Gong, J., Hong, X., & Yang, L., et al. (2024). Blockade of the ADAM8–Fra-1 complex attenuates neuroinflammation by suppressing the Map3k4/MAPKs axis after spinal cord injury. Cellular & Molecular Biology Letters, 29, Article 589.

Qian, Z., Xia, M., Zhao, T., Li, Y., Li, G., Zhang, Y., Li, H., & Yang, L. (2024). ACOD1, rather than itaconate, facilitates p62-mediated activation of Nrf2 in microglia post spinal cord contusion. Clinical and Translational Medicine, 14, Article e1661.

Chang, J., Qian, Z., Wang, B., Cao, J., Zhang, S., Jiang, F., Kong, R., Yu, X., Cao, X., & Yang, L., et al. (2023). Transplantation of A2 type astrocytes promotes neural repair and remyelination after spinal cord injury. Cell Communication and Signaling, 21(1).

Tianyi Yan | Computational Neuroscience | Best Researcher Award

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Prof. Dr. Tianyi Yan | Computational Neuroscience | Best Researcher Award

Vice Dean at School of Medical Technology, Beijing Institute of Technology, China

Tianyi Yan is a prominent researcher and educator in biomedical engineering, dedicated to exploring innovative solutions for brain health and cognitive enhancement. With numerous accolades and a rich publication record, he is shaping the future of neuroscience and technology integration. 🧠✨

Publication Profile : 

Scopus

 

🎓 Educational Background :

Tianyi Yan obtained a PhD in Biomedical Engineering from Okayama University, Japan, in 2004. He also holds an MSc in Biomedical Engineering from Kagawa University (2003) and a BSc in Electronic Engineering from Changchun University of Science and Technology, China (2001).

💼 Professional Experience :

Currently, he serves as the Vice Dean of the School of Medical Technology and the School of Life Sciences at the Beijing Institute of Technology (BIT) since March 2020. He has been a Professor at BIT since 2016 and the Director of the Department of Biomedical Engineering since July 2018. His academic journey began as a Lecturer at BIT in 2011, followed by a post-doctoral position at Okayama University.

📚 Research Interests : 

His research spans several areas, including Brain Science and Neuronal Engineering, Cognitive Neuroscience, Brain-Computer Interfaces, and non-invasive neuromodulation for brain disease diagnosis. He focuses on developing algorithms to study neural degenerative diseases, designing wearable devices for neural feedback, and advancing brain-controlled technologies.

📝 Publication Top Notes :

  1. Y. Yang, Q. Fan, T. Yan, J. Pei, and G. Li, “Network Group Partition and Core Placement Optimization for Neuromorphic Multi-Core and Multi-Chip Systems,” IEEE Transactions on Emerging Topics in Computational Intelligence, 2024.
  2. Y. Huang, Y. Li, Y. Yuan, X. Zhang, W. Yan, T. Li, Y. Niu, M. Xu, T. Yan, X. Li, D. Li, J. Xiang, B. Wang, and T. Yan, “Beta-informativeness-diffusion multilayer graph embedding for brain network analysis,” Frontiers in Neuroscience, vol. 18, no. 1303741, 2024.
  3. S. Liu, M. Liu, D. Zhang, Z. Ming, Z. Liu, Q. Chen, L. Ma, J. Luo, J. Zhang, D. Suo, G. Pei, and T. Yan, “Brain-Controlled Hand Exoskeleton Based on Augmented Reality-Fused Stimulus Paradigm,” IEEE Journal of Biomedical and Health Informatics, 2024.
  4. S. Liu, Z. Ming, M. Liu, D. Zhang, Z. Liu, Q. Chen, L. Ma, J. Luo, D. Suo, J. Zhang, and T. Yan, “Remote-Oriented Brain-Controlled Unmanned Aerial Vehicle for IoT,” IEEE Internet of Things Journal, 2024.
  5. J. Wu, L. Ma, D. Luo, Z. Jin, L. Wang, L. Wang, T. Li, J. Zhang, T. Liu, D. Lv, T. Yan, and B. Fang, “Functional and structural gradients reveal atypical hierarchical organization of Parkinson’s disease,” Human Brain Mapping, vol. 45, no. 4, e26647, 2024.
  6. J. Lu, T. Yan, L. Yang, X. Zhang, J. Li, D. Li, J. Xiang, and B. Wang, “Brain fingerprinting and cognitive behavior predicting using functional connectome of high inter-subject variability,” NeuroImage, vol. 295, 2024, pp. 120651.
  7. M. Yao, O. Richter, G. Zhao, N. Qiao, Y. Xing, D. Wang, T. Hu, W. Fang, T. Demirci, M.D. Marchi, L. Deng, T. Yan, C. Nielsen, S. Sheik, C. Wu, Y. Tian, B. Xu, and G. Li, “Spike-based dynamic computing with asynchronous sensing-computing neuromorphic chip,” Nature Communications, vol. 15, no. 1, p. 4464, 2024.
  8. G. Wang, N. Jiang, Y. Ma, T. Liu, D. Chen, J. Wu, G. Li, D. Liang, and T. Yan, “Connectional-style-guided contextual representation learning for brain disease diagnosis,” Neural Networks, vol. 175, 2024, pp. 106296.
  9. G. Wang, N. Jiang, Y. Ma, D. Suo, T. Liu, S. Funahashi, and T. Yan, “Using a deep generation network reveals neuroanatomical specificity in hemispheres,” Patterns, vol. 5, no. 4, 2024.
  10. G. Wang, N. Jiang, T. Liu, L. Wang, D. Suo, D. Chen, S. Funahashi, and T. Yan, “Using unsupervised capsule neural network reveal spatial representations in the human brain,” Human Brain Mapping, vol. 45, no. 5, e26573, 2024.
  11. L. Wang, S. Li, L. Gong, Z. Zheng, Y. Chen, G. Chen, and T. Yan, “Right parietal repetitive transcranial magnetic stimulation in obsessive-compulsive disorder: A pilot study,” Asian Journal of Psychiatry, vol. 93, Mar. 2024, pp. 103902.
  12. T. Li, T. Liu, J. Zhang, Y. Ma, G. Wang, D. Suo, B. Yang, X. Wang, S. Funahashi, K. Zhang, B. Fang, and T. Yan, “Neurovascular coupling dysfunction of visual network organization in Parkinson’s disease,” Neurobiology of Disease, 2023, pp. 106323.
  13. J. Zhang, Y. Yang, T. Liu, Z. Shi, G. Pei, L. Wang, J. Wu, S. Funahashi, D. Suo, C. Wang, and T. Yan, “Functional connectivity in people at clinical and familial high risk for schizophrenia,” Psychiatry Research, vol. 328, 2023, pp. 115464.
  14. T. Yan, G. Wang, T. Liu, G. Li, C. Wang, and D. Suo, G. Pei, “Effects of Microstate Dynamic Brain Networks Disruption in Different Stages of Schizophrenia,” IEEE Transactions on Neural Systems & Rehabilitation Engineering, vol. 31, 2023, pp. 2688-2697.
  15. T. Li, L. Wang, Z. Piao, K. Chen, X. Yu, Q. Wen, D. Suo, C. Zhang, S. Funahashi, G. Pei, B. Fang, and T. Yan, “Altered Neurovascular Coupling for Multidisciplinary Intensive Rehabilitation in Parkinson’s Disease,” The Journal of Neuroscience, vol. 1, no. 1, 2023, pp. 1204-1222.