I am an associate professor at the Electrical and Computer Engineering Department, Michigan State University. I am also affiliated with the Communications and Signal Processing Lab at
My research focuses on the theory and applications of statistical signal processing, in particular non-stationary signal analysis. I am interested in developing methods for efficient signal representation, detection and classification.
More recently, my research focuses on the study of the functional networks in the brain. This research addresses the problem of quantifying the interactions across the brain by developing a comprehensive signal processing framework to study the functionality of the brain as a complex system based on electroencephalogram (EEG) data for a better understanding of psychopathologies.
· M. Bolanos, E. M. Bernat, B. He and S. Aviyente, “A Weighted Small World Network Measure for Assessing Functional Connectivity,” accepted for publication in Journal of Neuroscience Methods, 2012.
· A. Y. Mutlu, E. M. Bernat and S. Aviyente, “A Signal-Processing-Based Approach to Time-Varying Graph Analysis for Dynamic Brain Network Identification,” Computational and Mathematical Methods in Medicine, 2012.
· Y. Liu and S. Aviyente, “Quantification of Effective Connectivity in the Brain Using a Measure of Directed Information,” Computational and Mathematical Methods in Medicine, 2012.
· S. Aviyente and A. Y. Mutlu, “A Time-Frequency Based Approach to Phase and Phase Synchrony Estimation,” IEEE Transactions on Signal Processing, vol. 59, no. 7, pp. 3086-3098, 2011.
· A. Y. Mutlu and S. Aviyente, “Multivariate Empirical Mode Decomposition for Quantifying Multivariate Phase Synchronization," EURASIP Journal on Advances in Signal Processing, special issue on Recent Advances in Theory and Methods for Nonstationary Signal Analysis, Article ID 615717, 2011.
· S. Aviyente, E. M. Bernat, W. S. Evans and S. R. Sponheim, “A phase synchrony measure for quantifying dynamic functional integration in the brain," vol. 32, no. 1, pp. 80-93, Human Brain Mapping, 2011.
· S. R. Sponheim, K. A. McGuire, S. S. Kang, N. D. Davenport, S. Aviyente, E. M. Bernat and K. Lim, "Evidence of disrupted functional connectivity in the brain after combat-related blast injury," vol. 54, pp. S21-29, Neuroimage, 2011.
· S. Zaidi, S. Aviyente, M. Salman, K. Shin and E. Strangas, "Prognosis of Gear Failures in DC Starter Motors Using Hidden Markov Models," in press IEEE Transactions on Industrial Electronics, 2011.
· S. Aviyente, E. M. Bernat, S. M. Malone and W. G. Iacono, "Time-Frequency Data Reduction for Event Related Potentials: Combining Principal Component Analysis and Matching Pursuit," EURASIP Journal on Advances in Signal Processing, Volume 2010 (2010), Article ID 289571.
· S. Aviyente," Computationally efficient scale covariant time-frequency distributions," EURASIP Journal on Advances in Signal Processing, Volume 2009 (2009), Article ID 204351.
· M. Al-Khassaweneh and S. Aviyente, “The relationship between two directed information measures,” IEEE Signal Processing Letters, vol. 15, pp. 801-804, 2008.
· K. Huang and S. Aviyente, “Wavelet feature selection for image classification,” IEEE Transactions on Image Processing, vol. 17, no. 9, pp. 1709-1720, September 2008.
· Ke Huang, Ph.D. 2007, currently at Google
· ECE 202, Circuits and Systems II (Spring 2011)
· ECE 366, Introduction to Signal Processing (Fall 2009)
· ECE 457, Communication Systems (Spring 2005)
· ECE 466, Digital Signal Processing and Filter Design (Fall 2010)
· ECE 866, Time-Frequency and Wavelet Analysis (Spring 2012)