Tzyy-Ping Jung

Tzyy-Ping Jung (F’15) received the B.S. degree in electronics engineering from National Chiao Tung University, Hsinchu, Taiwan, in 1984, and the M.S. and Ph.D. degrees in electrical engineering from The Ohio State University, Columbus, OH, USA, in 1989 and 1993, respectively. He is currently a Research Scientist and the Co-Director of the Center for Advanced Neurological Engineering, Institute of Engineering in Medicine, University of California-San Diego (UCSD), La Jolla, CA, USA. He is also an Associate Director of the Swartz Center for Computational Neuroscience, Institute for Neural Computation, and an Adjunct Professor of Bioengineering at UCSD. In addition, he is an Adjunct Professor of Computer Science, National Chiao Tung University, Hsinchu, Taiwan. His research interests are in the areas of biomedical signal processing, cognitive neuroscience, machine learning, timefrequency analysis of human EEG, functional neuroimaging, and brain–computer interfaces and interactions. He is currently an Associate Editor of IEEE Transactions on Biomedical Circuits and Systems.

Associated articles

TBME, Featured Articles
A Brain–Computer Interface Based on Miniature-Event-Related Potentials Induced by Very Small Lateral Visual Stimuli
Traditional visual brain-computer interfaces (BCIs) was faced with the dilemma of whether or not to use large-size visual stimuli to code instructions. On the one hand, to overcome the noisy electroencephalography (EEG) environment, scientists preferred to use strong visual stimuli... Read more
TBME, Featured Articles
Real-time Neuroimaging and Cognitive Monitoring Using Wearable Dry EEG
In recent years, there have been significant advances in wearable, mobile, dry-electrode electroencephalography (EEG) systems. These are yielding exciting new possibilities for scientific research, clinical diagnostics and therapeutics, and brain-computer interfaces (BCI) outside the clinic or laboratory. However, these systems... Read more
TNSRE, Featured Articles
Associations Among Emotional State, Sleep Quality, and Resting-State EEG Spectra: A Longitudinal Study in Graduate Students
University students are routinely influenced by a variety of natural stressors and experience irregular sleep-wake cycles caused by the necessity to trade sleep for studying while dealing with academic assignments. Often these factors result in long-term issues with daytime sleepiness,... Read more
TNSRE, Featured Articles
Dynamic reorganization of functional connectivity unmasks fatigue related performance declines in simulated driving
Although driving fatigue has long been recognized as one of the leading causes of fatal accidents worldwide, the underlying neural mechanisms remain largely unknown that impedes the developments of automatic detection techniques... Read more
TNSRE, Featured Articles
Inter-and Intra-Subject Transfer Reduces Calibration Effort for High-Speed SSVEP-based BCIs
Steady-state visual evoked potential (SSVEP)-based brain-computer interfaces (BCIs) that can deliver high information transfer rate (ITR) usually require subject’s calibration data to learn the class-and subject-specific model parameters (e.g. the spatial filters and SSVEP templates). Normally, the amount of the calibration data for learning is proportional to the number of classes (or visual stimuli), which could be huge and consequently lead to a time-consuming calibration... Read more