Translational Research in Neuroimaging and Data Science, GSU/GATech/Emory-United States
Author Profile
Early Academic Pursuits
Qiang Li began his academic journey with a strong foundation in Bioengineering and Mechanical Manufacturing and Automation at HeiLongJiang University, China, earning double bachelor's degrees. He then pursued joint master's degrees, first at the Danish Research Center for Magnetic Resonance in Denmark, focusing on programming in Python and Matlab for image processing. Later, he earned another joint master's degree at the Institute of Biophysics in China, where he delved into neuroimaging research related to face identity, high-level visual cortex, and neural adaptation.
Professional Endeavors
Dr. Li continued his academic pursuits by completing his Ph.D. at the Image and Signal Processing Lab in Valencia, Spain. His research during this period spanned computational neuroscience, computational neuroimaging, psychophysics, deep learning, information theory, and image/video processing. Following his doctoral studies, he assumed the role of a Postdoctoral Researcher at the Tri-Institutional Center for Translational Research in Neuroimaging and Data Science (TReNDS) in Atlanta, USA.
Contributions and Research Focus
Dr. Qiang Li has made significant contributions to the field of computational neuroscience and neuroimaging. His research has covered diverse areas such as retina-to-cortex vision modeling, saliency prediction, functional connectivity inference from fMRI data, and bidirectional functional brain networks. He has applied a range of methodologies, including psychophysics, deep neural networks, and information theory, to unravel the intricacies of human visual function and brain networks.
Accolades and Recognition
Qiang Li has received scholarships, including the Generalitat Valenciana GRISOLIAP/2019/035, and has actively disseminated his research findings through various conferences and publications. His work has been recognized with poster presentations at conferences such as the IEEE International Symposium on Biomedical Imaging (ISBI) and the Thirty-seventh Conference on Neural Information Processing Systems (NeurIPS).
Impact and Influence
Dr. Li's research has been published in reputable journals and conference proceedings, showcasing his impact on the scientific community. Noteworthy publications include studies on canonical retina-to-cortex vision models, saliency prediction models, and investigations into functional connectivity and high-order dependencies in the human brain.
Legacy and Future Contributions
Qiang Li's legacy lies in his comprehensive exploration of computational neuroscience and neuroimaging. His multidisciplinary approach, blending programming skills with a deep understanding of biological systems, has contributed to advancements in understanding brain function. Dr. Li's future contributions are anticipated to further bridge the gap between computational models and real-world neural processes, potentially unlocking new insights into brain disorders and cognitive function.
Notable Publication