STUDY OVERVIEW

This research focuses on the development of brain-computer and neural interface technologies that bridge biological systems with engineered devices. Specific areas of study include SSVEP-based BMI driver-monitoring systems to improve driver safety, neural stimulation devices that improve the safe delivery of electrical signals for neuroprosthetic applications, and implantable, biodegradable piezoelectric force sensors for physiological monitoring. These technologies aim to enhance the detection of biological signals to improve human-machine interaction.

Shishavan, H. H., Roy, R., Golzari, K., Singla, A., Zalozhin, D., Lohan, D., Farooq, M., Dede, E. M. & Kim, I. (2024). Optimization of Stimulus Properties for SSVEP-based BMI System with a Heads-up Display to Control In-vehicle Features. PLOS One, 19, e0308506.

Summary: This study investigates the optimization of stimulus properties (ex. icon color, size, flashing characteristics) for SSVEP-based brain-machine interface displayed on a heads-up display to improve the detection of neural responses and enhance hands-free control of in-vehicle functions, thereby reducing driving distractions and improving road safety.

Shishavan, H. H., Behzadi, M. M., Lohan, D., Dede, E., Kim, I. (2023). Closed-Loop Brain Machine Interface System for in-Vehicle Function Controls Using Head-up Display and Deep Learning Algorithm. IEEE Access, 25, 6594-6603.

Summary: This study introduces a SSVEP-based brain-machine interface that integrates a heads-up display with real-time EEG processing and a convolutional neural network to enable rapid, hands-free control of in-vehicle features through neural signals.

Ersöz, A., Kim, I., Han, M. (2022). A Portable Neurostimulator Circuit with Anodic Bias Enhances Stimulation Injection Capacity. Journal of Neural Engineering, 19, 055010. PMID: 36067737.

Summary: This study introduces a portable 16-channel neurostimulator with a digitally and wirelessly controlled anodic bias control to increase the charge injection capacity of microelectrodes, enhancing both the safety and effectiveness of neural stimulation, thus enabling more advanced neural interface applications.

Curry, E. J., Ke, K., Chorsi, M. T., Wrobel, K. S., Miller, A. N., Patel, A., Kim, I., Feng, J., Yue, L., Wu, Q., Kuo, C. L., Lo, K. W., Laurencin, C.T., Ilies, H., Purohit, P. Ki., Nguyen, T. D. (2018). Biodegradable piezoelectric force sensor. Proceedings of the National Academy of Sciences, 115, 909-914.

Summary: This study introduces a biodegradable piezoelectric force sensor that converts mechanical force into electrical signals for the monitoring of organ and tissue function, enabling advanced devices that integrate with tissue and safely degrade after use.