Wei Li | Cognitive Rehabilitation | Best Researcher Award

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Prof. Wei Li | Cognitive Rehabilitation | Best Researcher Award

Prof. Wei Li, Affiliated Hospital of Binzhou Medical University, China.

Professor Wei Li is a distinguished leader in the field of rehabilitation medicine, with a strong foundation in biomedical engineering and over 15 years of clinical and academic experience. Trained at Capital Medical University and PLA General Hospital, he now serves as a Professor, Chief Physician, and Director at the Affiliated Hospital of Binzhou Medical University. His contributions span across clinical rehabilitation, biomechanics, and innovative rehabilitation engineering. Through his leadership in national and provincial research projects, mentorship of young scholars, and roles in major events like the Beijing Winter Olympics, Professor Li has solidified his reputation as a pioneer and innovator in the integration of technology and patient care.

Profile

Scopus

 

šŸŽ“ Early Academic Pursuits

Professor Wei Li embarked on his academic journey with a deep passion for medical science and engineering, earning his Ph.D. in Biomedical Engineering from the esteemed Capital Medical University. His early years were marked by rigorous academic training and a strong inclination towards the integration of technology in medicine. His postdoctoral research at the PLA General Hospital further shaped his expertise, especially in the realms of biomechanics and clinical rehabilitation. This foundational phase instilled in him a scientific rigor and a vision to bridge the gap between biomedical engineering and practical healthcare solutions.

šŸ©ŗ Professional Endeavors

With over 15 years of hands-on clinical and academic experience, Professor Wei Li currently serves as a Professor, Chief Physician, and Director of both the Department of Rehabilitation Medicine and the Department of Science & Technology at the Affiliated Hospital of Binzhou Medical University. His dual leadership roles reflect not only his clinical excellence but also his strategic insight in advancing research and development within the hospital. He plays a vital role in shaping the institutionā€™s medical innovation ecosystem and fostering interdisciplinary collaborations that drive translational research into rehabilitation technologies.

šŸ§  Contributions and Research Focus

Professor Liā€™s research centers around clinical rehabilitation, biomechanics, and rehabilitation engineering, where he explores advanced therapeutic interventions to enhance patient recovery outcomes. His work integrates cutting-edge biomedical engineering with evidence-based clinical practices, making notable strides in the development of customized rehabilitation protocols and assistive technologies. With six major research projects under his leadershipā€”four as Principal Investigatorā€”he has made significant contributions to projects funded by prestigious bodies like the National Key R&D Program of China, the Shandong Provincial Natural Science Foundation, and the Beijing Natural Science Foundation.

šŸ† Accolades and Recognition

Throughout his illustrious career, Professor Wei Li has received numerous honors that reflect his outstanding service and innovation in rehabilitation medicine. He has been named a National Clinical Specialty Leader, an acknowledgment reserved for top-tier medical professionals in China. Notably, he was selected as a Medical Expert for the Beijing Winter Olympics, showcasing his role in elite sports medicine and rehabilitation support. His research achievements have garnered several provincial scientific awards, underlining his contributions to the fieldā€™s academic and practical advancements.

šŸŒ Impact and Influence

Professor Liā€™s influence extends beyond the hospital and research lab. He is a mentor to emerging scientists and postdoctoral researchers, guiding the next generation of rehabilitation engineers and clinical researchers. His mentorship has created a ripple effect in nurturing talent and promoting interdisciplinary research. He frequently participates in national academic forums, contributing to policy discussions and the development of standardized practices in rehabilitation medicine across China.

Publication

  • Title: Metabolism-Related Adipokines and Metabolic Diseases: Their Role in Osteoarthritis
    Authors: Zhang, Qian; Zhao, Yixuan; Li, Longfei; Li, Chen; Li, Wei
    Year: Not specified (likely 2024 or 2025 based on context)

 

  • Title: Surface Electromyography and Gait Features in Patients after Anterior Cruciate Ligament Reconstruction
    Authors: Wu, Xipeng; Zhang, Hao; Cui, Hongxing; Cao, Zhijie; Li, Wei
    Year: 2025

 

  • Title: Dorsal raphe dopaminergic neurons target CaMKII+ neurons in dorsal bed nucleus of the stria terminalis for mediating depression-related behaviors
    Authors: Wang, Wentao; Wang, Dan; Zhao, Di; Li, Wei; Li, Chen
    Year: 2024

 

 

šŸ Conclusion

Professor Wei Liā€™s career is a testament to the power of interdisciplinary excellence, where science, medicine, and technology converge to transform patient rehabilitation. His impactful research, visionary leadership, and unwavering dedication to both education and innovation continue to inspire the medical community. As he moves forward, his efforts are not only shaping the future of rehabilitation medicine in China but also setting a global standard for integrated, patient-centric care through biomedical innovation.

Haiteng Jiang | Mental Disorder | Best Researcher Award

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Dr. Haiteng Jiang | Mental Disorder | Best Researcher AwardĀ 

Dr.Ā  Haiteng Jiang, Zhejiang University, China.

Dr. Haiteng Jiang is a distinguished researcher specializing in systems neuroscience, brain-machine intelligence, and mental health screening. With a Ph.D. in Cognitive Artificial Intelligence and extensive postdoctoral experience at Carnegie Mellon University and the University of Minnesota, he integrates brain imaging, genetics, and AI-driven computational modeling to study psychiatric and neurological disorders. Currently, he serves as a Principal Investigator at multiple prestigious institutions, including Zhejiang University and Liangzhu Laboratory. His research focuses on developing AI-based precision subtyping of psychiatric disorders and wearable device-based mental health screening, contributing to advancements in precision medicine.

Profile

Google Scholar

 

šŸŽ“ Early Academic Pursuits

Haiteng Jiang began his academic journey with a strong foundation in engineering. He completed his Bachelor of Electrical Engineering and Automation at Nanjing University of Posts and Telecommunication, China. His passion for blending technology with biomedical applications led him to pursue a Master’s degree in Biomedical Engineering at Southeast University, Nanjing. During this period, he developed a keen interest in understanding the intersection of technology and brain science. This enthusiasm guided him to further his education with a PhD in Cognitive Artificial Intelligence from the prestigious Donders Institute for Brain, Cognition and Behaviour at Radboud University, The Netherlands, where he honed his skills in cognitive neuroscience and computational modeling.

šŸ’¼ Professional Endeavors

Haiteng Jiang’s professional journey is marked by prestigious appointments and groundbreaking research. His postdoctoral fellowships at the University of Minnesota and Carnegie Mellon University provided him with the opportunity to delve deeper into biomedical engineering and systems neuroscience. In 2021, he joined Zhejiang University as an Assistant Professor at the Ministry of Education Frontier Science Center for Brain and Brain-Machine Integration. He concurrently holds Principal Investigator positions at the affiliated Mental Health Center, Liangzhu Laboratory, and the National Key Laboratory of Brain-Machine Intelligence. His multifaceted roles highlight his dedication to advancing brain-machine interfaces and cognitive neuroscience.

šŸ§  Contributions and Research Focus

Haiteng Jiang’s research is at the forefront of systems neuroscience, seamlessly integrating multimodal brain functional imaging, genetic information, and speech signals. His innovative work combines experimental methodologies, computational modeling, and neural modulation to investigate cognition and brain disorders. A significant portion of his research revolves around mental health screening using wearable device-based methods and large language models. Additionally, his work on precision subtyping of psychiatric disorders through multimodal data aims to revolutionize the diagnosis and treatment of mental health conditions.

šŸ… Accolades and Recognition

Throughout his career, Haiteng Jiang has garnered recognition for his pioneering research and contributions to neuroscience. His dedication to the field has earned him several prestigious grants and fellowships. His research findings have been published in high-impact scientific journals, solidifying his reputation as a leading figure in cognitive neuroscience and brain-machine interfaces. His commitment to excellence continues to inspire both peers and aspiring researchers.

šŸŒ Impact and Influence

Haiteng Jiang’s work has had a profound impact on the scientific community and beyond. His innovative approaches to mental health screening have the potential to transform early diagnosis and intervention for psychiatric disorders. By bridging the gap between neuroscience, artificial intelligence, and genetics, his research paves the way for personalized medicine and precision psychiatry. His influence extends to the next generation of scientists, whom he mentors through his various academic roles.

šŸ” Legacy and Future Contributions

Haiteng Jiang’s legacy is one of relentless pursuit of scientific excellence and innovation. His contributions to systems neuroscience and brain-machine integration have set new benchmarks in the field. Moving forward, he aims to further develop AI-driven diagnostic tools and neurotechnologies that can enhance mental health care. His future endeavors promise to shape the landscape of neuroscience and improve the lives of individuals affected by psychiatric and neurological disorders.

 

Publication

 

  • Measuring directionality between neuronal oscillations of different frequencies
    H. Jiang, A. Bahramisharif, M.A.J. van Gerven, O. Jensen (2015)

 

  • Predictability of depression severity based on posterior alpha oscillations
    H. Jiang, T. Popov, P. JylƤnki, K. Bi, Z. Yao, Q. Lu, O. Jensen (2016)

 

  • Noninvasive high-frequency oscillations riding spikes delineates epileptogenic sources
    Z. Cai, A. Sohrabpour, H. Jiang, S. Ye, B. Joseph, B.H. Brinkmann, G.A. Worrell, et al. (2021)

 

  • Interictal SEEG restingā€state connectivity localizes the seizure onset zone and predicts seizure outcome
    H. Jiang, V. Kokkinos, S. Ye, A. Urban, A. Bagić, M. Richardson, B. He (2022)

 

  • Mindfulness improves brainā€“computer interface performance by increasing control over neural activity in the alpha band
    J.R. Stieger, S. Engel, H. Jiang, C.C. Cline, M.J. Kreitzer, B. He (2021)

 

  • Structuralā€“functional decoupling predicts suicide attempts in bipolar disorder patients with a current major depressive episode
    H. Jiang, R. Zhu, S. Tian, H. Wang, Z. Chen, X. Wang, J. Shao, J. Qin, J. Shi, et al. (2020)

 

  • Formation of visual memories controlled by gamma power phase-locked to alpha oscillations
    H. Park, D.S. Lee, E. Kang, H. Kang, J. Hahm, J.S. Kim, C.K. Chung, H. Jiang, et al. (2016)

 

  • Brainā€“heart interactions underlying traditional Tibetan Buddhist meditation
    H. Jiang, B. He, X. Guo, X. Wang, M. Guo, Z. Wang, T. Xue, H. Li, T. Xu, S. Ye, et al. (2020)

 

  • Modality-specific alpha modulations facilitate long-term memory encoding in the presence of distracters
    H. Jiang, M.A.J. van Gerven, O. Jensen (2015)

 

  • Multiple oscillatory pushā€“pull antagonisms constrain seizure propagation
    H. Jiang, Z. Cai, G.A. Worrell, B. He (2019)

Conclusion

Dr. Haiteng Jiang is a highly suitable candidate for the Best Researcher Award due to his pioneering work in AI-driven neuroscience and mental health research. His interdisciplinary expertise, leadership roles, and contributions to psychiatric disorder classification position him as a strong contender. Strengthening his profile with additional publication metrics and funding details would further enhance his candidacy.