MD, Seoul National University College of Medicine MS PhD (Electrical Engineering), University of Texas at Dallas PostDoc (Electrical and Computer Engineering), Cornell University

Modeling intelligent features (adaptation and robustness) of biological systems, Cloud-enabled smart bioMEMS, Internet of Cells (IoC), Internet of Microscopes (IoM)

Yong-Jun Shin (2016), “Digital Signal Processing and Control for the Study of Gene Networks,” Scientifc Reports, in press. Yong-Jun Shin and Bahareh Mahrou (2014), “Modeling Collective & Intelligent Decision Making of Multi-cellular Populations,” The Conference Proceedings of the IEEE Engineering in Medicine and Biology Society (EMBS), pp. 334-337. Yong-Jun Shin (2013), “Parallel Computing for Adaptive Multi-Cellular Gene Network Modeling”, Proceedings of the 1st IEEE Global Conference on Signal and Information Processing, pp.103-104 (invited article). Yong-Jun Shin, Ali H. Sayed, Brandon Hencey, Steven M. Lipkin, Xiling Shen (2013), “Post-translational regulation enables robust p53 regulation“, BMC System Biology, 7:83. Yong-Jun Shin, Ali H. Sayed, Xiling Shen (2012), “Adaptive Models for Gene Networks“, PLoS ONE 7(2): e31657. Yong-Jun Shin, Brandon Hencey, Steven M. Lipkin, Xiling Shen (2011), “Frequency Domain Analysis Reveals External Periodic Fluctuations Can Generate Sustained p53 Oscillation“, PLoS ONE 6(7): e22852. Yong-Jun Shin, Leonidas Bleris (2010), “Linear Control Theory for Gene Network Modeling“, PLoS ONE 5(9): e12785. Yong-Jun Shin, Mehrdad Nourani (2010), “Statecharts for Gene Network Modeling”, PLoS ONE 5(2): e9376. Yong-Jun Shin, Jeong-Bong Lee (2010), “Machine Vision for Digital Microfluidics” , American Institute of Physics (API) Review of Scientific Instruments, 81:014302 (selected for the February 1, 2010 issue of Virtual Journal of Biological Physics Research as one of the Top 20 most downloaded articles in Feb. 2010).