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Assistant Professor of Translational Neuroscience

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Education
• B.S., Electrical Engineering, Northern Jiaotong University, Beijing, China
• M.S., Electrical Engineering, Northern Jiaotong University, Beijing, China
• Ph.D., Electrical Engineering, University of New Mexico

Positions
• 1997-2000    Assistant professor, Northern Jiaotong University, Beijing, China
• 2004 -2006    Research fellow, Bioinformatics Cell, Henry M. Jackson Foundation for the Advancement of Military Medicine, City, State
• 2006        Postdoc Researcher, Olin Neuropsychiatry Research Center, Institute of Living, City, State
• 2006 – Present    Research Scientist, The Mind Research Network, Albuquerque, NM
• 2007 – Present    Adjunct Assistant Professor, Electrical and Computer Engineering, University of New Mexico, Albuquerque, NM

Other Experience and Professional Memberships
• 2006 - Present    Institute of Electrical and Electronics Engineering (IEEE)
• 2007 - Present    The Organization for Human Brain Mapping (OHBM)

Selected Peer-Reviewed Publications
Chapters
[1]. J. Liu, Q. Ma, Electronic Commerce, Software: Electrical commerce simulation software package, China Railway Press 2000, China.
[2]. M. Jamshidi, S. Sheikh-Bahaei, J. Kitzinger, P. Sridhar, S. Xia, Y. Wang, J. Liu, E. Tunstel, Jr, M. Akbarzadeh, A. El-Osery, M. Fathi, X. Hu, and B. P. Zeigler. Applied System Simulation Methodologies and Application, Chapter 11 “A Distributed Intelligent Discrete-Event Environment for Autonomous Agents Simulation”, pp. 241–274, Kluwer Academic Publishers, 2003.
Papers
[1].    M. Jamshidi, S. heikh, J. Kitzinger, P. Sridhar, S. Beatty, S. Xia, Y. Wang, T. Song, U. Dole, J. Liu et.al “V_lab-a Distributed intelligent Discrete-event Environment for autonomous agents simulation” Intelligent Automation and Soft Computing Vol. 9, No 3, pp. 181-214, 2003.
[2].    M. Jamshidi, S. Sheikh-Bahaei, J. Kitzinger, P. Sridhar, S. Xia, Y. Wang, J. Liu, et.al. “V-Lab® - Virtual Laboratory for Autonomous Agents”, Magazine article, Modeling and Simulation Magazine, Vol.2, 2003.
[3].    J. Liu, M. Jamshidi, S. Pourbabak, “A Novel Auto Regression and Fuzzy neural Combination Method to Identify Cardiovascular Dynamics”, World Automaton Congress, Multimedia and Image Processing, 2004.
[4].    M.T. Sutherland, J. Liu, A. Tang, “Temporal delays in blind identification of primary somatosensory cortex”. International conference on machine learning and cybernetics, 2004.
[5].    J. Liu, M. Jamshidi, S. Pourbabak, “Human cardiovascular system identification and application using a hybrid method of auto-regression and neuro-fuzzy inference systems” International conference on machine learning and cybernetics, 2004.
[6].    S. Sheikh-Bahaei, P. Lino, J. Liu, M. Jamshidi, “An Intelligent Discrete Event System (I-DEVS) Approach to Modeling, Simulation and Control of Cooperative Autonomous Agents in a Virtual Environment", Intelligent Automation and Soft Computing Journal, 2004.
[7].    A.C. Tang, J. Liu, M.T. Sutherland. “Recovery of Correlated Neuronal Sources from EEG: The Good and Bad Ways of using SOBI.” NeuroImage, Vol.28, pp. 507-551, 2005.
[8].    J. Liu, T. McKenna, B. Beidleman, W. Tharion, J. Reifman, “Estimation of confidence level for physiological variables measured by a vital sign detection system.”, Defense & Security Symposium, SPIE, 2006.
[9].    A.C. Tang, M. Sutherland, C.J. McKinney, J. Liu, Y. Wang, L.C. Parra, A.D. Gerson, and Paul Sajda. “Classifying single-trial ERPs from visual and frontal cortex during free viewing”. Proceedings of the 2006 International Joint Conference on Neural Networks, July, 2006; Vancouver, BC, Canada.
[10].    V. Calhoun, T. Adali, J. Liu. “A Feature-Based Approach to Combine Functional MRI, Structural MRI and EEG Brain Imaging Data”. IEEE 2006 International Conference of Engineering in Medicine and Biology Society, Aug. 2006, New York, NY.
[11].    J. Liu, G. Pearlson, V. Calhoun, and A. Windemuth, “A novel approach to analyzing fMRI and SNP data via parallel independent component analysis”. Proceedings of SPIE Volume: 6511, medical imaging, Feb, 2007, San Diego, CA.
[12].    J. Liu, V. Calhoun, “Parallel independent component analysis for multimodal analysis: Application to fMRI and EEG DATA”. IEEE International Symposium on Biomedical Imaging, April, 2007, Washington, DC.
[13].    J. Liu, V. Calhoun. “Integrate multiple modalities measuring different aspects of brain functions via parallel independent component analysis”, The 13th Annual Meeting of the Organization for Human Brain Mapping, June, 2007.
[14].    J. Liu, M. Jamshidi, S. Pourbabak, “Modeling cardiovascular dynamics using a parallel structure with auto-regressive and neuro-fuzzy inference”, International Journal of Intelligent Computing in Medical Sciences and Image processing, Vol. 1, pp. 212-226, March, 2007.
[15].    Sui, j., j. Liu, w. Wu, A. Michael, l. Xu, T. Adali, and V.D. Calhoun, A constrained coefficient ica algorithm for group difference enhancement, in International Conference on Acoustics, Speech, and Signal Processing (ICASSP). 2008: Las Vegas, NV.
[16].    Xu, L., j. Liu, T. Adali, and V.D. Calhoun, Source based morphometry using structural mri phase images to identify sources of gray matter and white matter relative differences in schizophrenia versus controls, in International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2008: Las Vegas, NV.
[17].    J. Liu, L. Xu, and V. Calhoun, “Extracting principle components for discriminant analysis of fMRI images,” in Conference on Acoustics, Speech, and Signal Processing (ICASSP) 2008, Las Vegas, NV.
[18].    J. Liu, O. Demirci, and V. Calhoun, “A Parallel Independent Component Analysis Approach to Investigate Genomic Influence on Brain Function.” IEEE Signal Processing Letters, 2008. 15: p. 413.
[19].    J. Liu, J.N. Bixler, and V.D. Calhoun, A multimodality ICA study - integrating genomic single nucleotide polymorphisms with functional neuroimaging data, in IEEE Conference on Bioinformatics and Biomedicine Workshop. 2008: Philadelphia, PA.
[20].    J. Liu, G. Pearlson, A. Windemuth, G. Ruañoe, N.I. Perrone-Bizzozero, V. Calhoun. “Combining fMRI and SNP data to investigate connections between brain function and genetics using parallel ICA”, Human Brain Mapping, 2009. 30(1): p. 241-255. PMCID: PMC2668960
[21].    Calhoun, V.D., J. Liu, and T. Adali, “A Review of Group ICA for fMRI Data and ICA for Joint Inference of Imaging, Genetic, and ERP data.” NeuroImage, 2009. 45(1, Supplement 1), pp. 163-172. PMCID: PMC2651152
[22].    Demirci, O., M. C. Stevens, N. C. Andreasen, A. Michael, J. Liu, T. White, G. D. Pearlson, V. P. Clark and V. D. Calhoun. "Investigation of relationships between fMRI brain networks in the spectral domain using ICA and Granger causality reveals distinct differences between schizophrenia patients and healthy controls." Neuroimage. 2009. 46(2): p. 419-431.
[23].    Liu, J., K. A. Kiehl, G. Pearlson, N. I. Perrone-Bizzozero, T. Eichele and V. D. Calhoun. "Genetic determinants of target and novelty related event-related potentials in the auditory oddball response." Neuroimage. 2009. 46(3): p. 809-816.

Research Support
Ongoing Research Support
R01EB005846        (PI: Calhoun)    8/1/2005-3/31/2013
Collaborative Research: Spatiotemporal Fusion of fMRI, EEG, and Genetic Data Using Independent Component Analysis (NIH/NIBIB )
Summary: To develop data fusion approaches for fMRI, EEG, and gene SNP array data.
Role: Co-Investigator

1R21DA027626-01    (PI: Liu)    9/1/2009 – 08/31/2011
A Multilevel Vulnerability Study of Substance Abuse Via CNV, Brain Activation and Behavior (NIDA/NIH)
This project focuses on the understanding of the vulnerability to substance abuse in different developmental phases will greatly assist the diagnosis, prevention and treatment plans. The efficiency and effectiveness of prevention and treatment efforts can also be improved with increased knowledge about common pathways underlying disorders related to different substances.
Role: PI