Dr. Haiteng Jiang | Mental Disorder | Best Researcher Award 

Dr.  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.

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🎓 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.

💼 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.

🧠 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.

🏅 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.

🌍 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.

🔍 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. Jylänki, 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 resting‐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 brain–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)

 

• Structural–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)

 

• Brain–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 push–pull antagonisms constrain seizure propagation
  H. Jiang, Z. Cai, G.A. Worrell, B. He (2019)

Conclusion