Assistant professor, Zhejiang University, China
Dr. Haiteng Jiang is a Principal Investigator at the National Key Laboratory of Brain-Machine Intelligence, Zhejiang University, and an Assistant Professor at the Ministry of Education Frontier Science Center for Brain and Brain-Machine Integration, Zhejiang University. He specializes in the integration of brain functional imaging, genetic data, and speech signals to understand cognition and brain disorders. Dr. Jiang has significantly contributed to neuroscience research and clinical psychiatry with expertise in mental health screening, precision subtyping of psychiatric disorders, and novel neuromodulation techniques. His work spans across psychiatric and neurological diseases, combining computational modeling, neural modulation, and artificial intelligence to advance mental health care.
Profile
Education
Dr. Haiteng Jiang completed his PhD in Cognitive Artificial Intelligence at the Donders Institute for Brain, Cognition and Behaviour, Radboud University, The Netherlands (2011-2016). Prior to this, he obtained a Master’s degree in Biomedical Engineering from Southeast University, Nanjing, China (2008-2011). He earned his Bachelor’s degree in Electrical Engineering and Automation from Nanjing University of Posts and Telecommunication, Nanjing, China (2004-2008). His educational journey laid the foundation for his expertise in cognitive neuroscience and brain-machine integration, which he continues to advance through interdisciplinary research.
Experience
Dr. Haiteng Jiang is a Principal Investigator at Zhejiang University, where he leads several key projects in brain-machine intelligence, mental health screening, and neuromodulation techniques. He is also a faculty member at the Ministry of Education Frontier Science Center for Brain and Brain-Machine Integration. His postdoctoral experiences at Carnegie Mellon University (2018-2021) and the University of Minnesota (2016-2018) enhanced his research in biomedical engineering. Additionally, Dr. Jiang worked as an Assistant Researcher at Nanjing Brain Hospital (2016-2020). His research has been instrumental in integrating multimodal brain imaging and AI to advance the understanding and treatment of psychiatric and neurological disorders.
Awards and Honors
Dr. Haiteng Jiang has received numerous prestigious awards for his contributions to neuroscience and mental health research. Notably, he was awarded the Zhejiang University School of Medicine Li Zao Neuroscience Award in December 2022. He was also a recipient of the Excellent Young Scientists Fund (Overseas) from the National Natural Science Foundation of China in October 2022. Other significant honors include the Neuroscience Society Hot Topic Award (Top 1%) in 2018 and the Emerging Country Travel Scholar Award at the 21st International Biomagnetism Conference in 2018. Dr. Jiangβs work has been further supported through multiple overseas research fellowships and scholarships, such as those from Nijmegen University and the China Scholarship Council. His continued excellence in neuroscience and mental health has earned him widespread recognition in the scientific community.
Research Focus
Dr. Haiteng Jiangβs research is centered on systems neuroscience, with a focus on advancing mental health care through the integration of multimodal brain imaging, genetic information, and speech signals. He explores innovative ways to screen for psychiatric and psychological disorders using wearable devices and large language models. A key aspect of his research involves precision subtyping of psychiatric disorders by combining diverse types of data for accurate diagnosis. Additionally, Dr. Jiang investigates novel neuromodulation techniques to develop integrated therapeutic strategies for treating mental health disorders. His interdisciplinary approach combines experimental techniques, computational modeling, neural modulation, and artificial intelligence to address complex cognitive and brain disorders, including depression, epilepsy, and other neurological conditions.
Publication Top Notes
- Measuring directionality between neuronal oscillations of different frequencies π§ π Neuroimage 118, 359-367 (2015)
- Predictability of depression severity based on posterior alpha oscillations ππ Clinical Neurophysiology 127 (4), 2108-2114 (2016)
- Noninvasive high-frequency oscillations riding spikes delineates epileptogenic sources β‘π§ PNAS 118 (17), e2011130118 (2021)
- Interictal SEEG restingβstate connectivity localizes the seizure onset zone π§ β‘ Advanced Science 9 (18), 2200887 (2022)
- Mindfulness improves brainβcomputer interface performance by increasing control over neural activity in the alpha band π§ββοΈπ Cerebral Cortex 31 (1), 426-438 (2021)
- Formation of visual memories controlled by gamma power phase-locked to alpha oscillations π§ π― Scientific Reports 6 (1), 28092 (2016)
- Structuralβfunctional decoupling predicts suicide attempts in bipolar disorder patients π§ π Neuropsychopharmacology 45 (10), 1735-1742 (2020)
- Brainβheart interactions underlying traditional Tibetan Buddhist meditation π§β€οΈ Cerebral Cortex 30 (2), 439-450 (2020)
- Discriminating suicide attempters and predicting suicide risk ππ Frontiers in Psychiatry 11, 597770 (2020)
- Hyperactive frontolimbic and frontocentral resting-state gamma connectivity in major depressive disorder π§ π₯ Journal of Affective Disorders 257, 74-82 (2019)