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Young J. Paul Kim, Ph.D.

Guest Assistant Professor of Engineering

    Biography

    Dr. Young J. (Paul) Kim holds two Ph.D’s from the University of Texas-Arlington (emphasis on neural networks, digital image processing, and optical/multi-level signal processing), and the University of Memphis (emphasis on biomedical imaging, glaucoma research with retinal images, data mining, machine learning, and pattern recognition). He currently works as a private consultant for multiple companies.

    Education

    Ph.D. Electrical and Computer Engineering
    University of Memphis, 2011

    M.S. Electrical Engineering
    University of Texas-Arlington, 2001

    B.S. Electronic Engineering
    Kwangwoon University (Seoul, Korea), 1997

    Recent Publications

    C. Frilot II, Y. Kim, S. Carrubba, D. E. McCarty, A. L. Chesson Jr. & A. A. Marino, Analysis of Brain Recurrence and Practices, Springer, 2014.

    Y. Kim, K. M. Iftekharuddin, P. Gunvant, M. Tóth, A. Garas, G. Holló and E.A. Essock. Selective Fusion of Structural and Functional Data, Journal for Modeling in Ophthalmology (Journal for Modeling in Ophthalmology Vol 1, No 3: 82-99, 2017.

    Andrew A. Marino, Paul Y. Kim, and Clifton Frilot II, Trigeminal neurons detect cellphone radiation: Thermal or nonthermal is not the question (Electromagnetic Biology and Medicine 36:123–131, 2016).

    Paul Kim, David E. McCarty, Lei Wang, Clifton Frilot II, Andrew L. Chesson, Andrew A. Marino, Two-group classification of patients with obstructive sleep apnea based on analysis of brain recurrence, Clinical Neurophysiology 125: 1174–1181, 2015.

    E. McCarty, P.Y. Kim, C. Frilot II, A.L. Chesson, Jr. and A.A. Marino. The fingerprint of rapid eye movement: its algorithmic detection in the sleep electroencephalogram using a single derivation. Clin. EEG Neurosci. 47:298–304, 2014.

    David McCarty, Paul Y. Kim, Clifton Frilot II, Andrew A. Marino, The EEG Fingerprint of REM: Analysis of Brain Recurrence (ABR) Accurately Identifies REM Using a Single EEG Lead, presented at SLEEP 2014, the 28th Annual Meeting of the Associated Professional Sleep Societies, June, 2014, Minneapolis Convention Center. Minneapolis, MN.

    David McCarty, Naresh M. Punjabi, Paul Y. Kim, Clifton Frilot II, Andrew A. Marino, The EEG during Sleep is a Window to the Mind: Analysis of Brain Recurrence (ABR) of the EEG during Sleep Accurately Identifies Subjects with Mental Health Symptoms, Psychiatry Research: Neuroimaging 224: 335–340, 2014.

    C. Frilot II, P. Y. Kim, Carrubba, D. E. McCarty, A. L. Chesson Jr. and A. A. Marino, Applications of Recurrence Quantification to the Analysis of Brain Electrical Activity. Chapter 7, in C. Webber and N. Marwan, Eds., Recurrence Quantification Analysis: Theory and Best Practices. Berlin: Open Academic Press. In Press, 2014.

    Paul Kim, David E. McCarty, Lei Wang, Clifton Frilot II, Andrew L. Chesson, Jr. and Andrew A. Marino, Two-Group Classification of Patients with Obstructive Sleep Apnea based on Analysis of Brain Recurrence, Clin. Neurophysiol. 125:1174–1181, 2014.