Electrical Assistant

Ying Liu

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Education

Ph.D. in Electrical Engineering, Michigan State University, GPA: 4.0/4.0. July 2012

M.S. in Electrical engineering, Huazhong Univ. of Sci. and Tech., GPA: 84.9/100. June 2008

B.S. in Automation, Huazhong Univ. of Sci. and Tech., GPA: 85.1/100. June 2006

Experience

Graduate Research Assistant 2008–2012

Department of Electrical and Computer Engineering, Michigan State University

• Multivariate time series analysis including regression, modeling, and clustering.

• Write technical articles and give presentations.

Graduate Research Assistant 2006 – 2008

Institute for Pattern Recognition and Artificial Intelligence, Huazhong Univ. of Sci. and Tech.

• Designing image processing and pattern recognition algorithms for Embedded Systems.

Skills

• Technical: Signal Processing, Data analysis.

• Computer: MATLAB, C/C++, R, Java.

Courses

• Applied statistics methods, Data mining, Detection and estimation theory.

Selected Publications

[1] Y. Liu, I. Barjasteh, H. Radha, ‘Statistical and causality analysis of YouTube trending videos’, to be submitted to IEEE Transactions on multimedia, 2012.

[2] Y.Liu, S.Aviyente, ‘Quantification of effective connectivity in the brain using a measure of directed information’, Special Issue on Methodological Advances in Brain Connectivity in the journal Computational and Mathematical Methods in Medicine, p. 1-16, 2012.

[3] Y. Liu, J. Moser, S. Aviyente, ‘Community detection for directional neural networks inferred from EEG data’, IEEE Engineering Medicine and Biology Conference, p. 7155 – 7158, 2011.

[4] Y. Liu, S. Aviyente, ‘Multichannel EEG analysis based on multi-scale multi-information’, IEEE International Conference on Acoustics, Speech and Signal Processing, p. 589-592, 2011.

[5] Y. Liu, S. Aviyente, ‘Information theoretic approach to quantify causal neural interactions from EEG’, Asilomar Conference on Signals, Systems and Computers, p. 1380 – 1384, 2010.

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