Xin Di

Xin Di is a Research Professor in the Department of Bio-Medical Engineering at the New Jersey Institute of Technology (NJIT). His research utilizes functional magnetic resonance imaging (fMRI) and computational modeling to investigate human brain connectivity and network organization across diverse cognitive states, including task performance and naturalistic viewing paradigms. His work has significant applications in understanding neurodevelopmental processes, aging mechanisms, and neurological conditions such as autism spectrum disorder.

Research interests focus on:

• Mapping dynamic and static brain connectivity using advanced fMRI techniques
• Developing computational tools for neuroimaging analysis (e.g., WhiFuN toolbox)
• Investigating neurovascular coupling and cerebrovascular reactivity
• Studying neural correlates of cognitive processing during naturalistic stimuli
• Identifying biomarkers for neurodegenerative disorders like Alzheimer's disease

Recent publications (2023-2025) predominantly explore brain network dynamics during movie watching, methodological innovations in connectivity analysis, clinical applications in spinal cord injury and neurodegeneration, and neurodevelopmental trajectories. Machine learning approaches and multi-modal imaging integration are emerging themes.

Awards & Honors:

• 2018 Top reviewers for Neuroscience And Behavior, Publons
• 2017 Top reviewers for Neuroscience, Publons
• 2016 Sentinels of Science: Neuroscience, Publons