Tzyy-Ping Jung

The long-range goal of my research is to integrate methods in neural engineering and computation with basic scientific and clinical knowledge of nervous system to improve the diagnosis, treatment, and prevention of neurological diseases. I mainly focus on:

• novel approaches to recording and modeling brain activities and body functions, including and combining electroencephalographic, electromyographic, behavioral, and physiological measures,
• dry EEG sensor arrays and wearable/wireless data acquisition and signal processing hardware and software that can monitor and record non-invasive, high spatial and temporal resolution, brain activity of unconstrained, actively engaged human subjects,
• applying computational approaches such as independent component analysis (ICA), time-frequency analysis, and statistical analysis to analyze and model neural activity associated with human cognition, perception and awareness,
• fusing multiple streams of psychophysiological information to construct prototypes of neurocognitive brain-machine interface to improve overall human performance,
• methods and concepts to characterize and clarify neuropathogenic processes, and improve prevention, diagnosis, and treatment of neurological diseases and injuries.

Center for Advanced Neurological Engineering (CANE)

• Tzyy-Ping Jung elevated to IEEE Fellow for contributions to blind source separation for biomedical applications

  May 2016