Publications

Research Profile and Citations (per Google Scholar)

PhD DISSERTATION

• L. Zhu, “Computational Methods for Predicting Behavior from Neuroimaging Data”, Ph.D. Dissertation, Rutgers University, New Brunswick, NJ, 2018.

JOURNAL PUBLICATIONS

Published

• L. Zhu, C. R. Lee, D. J. Margolis, L. Najafizadeh, “Decoding Cortical Brain States from Widefield Transcranial Imaging Using Visibility Graph,” Biomedical Optics Express, 9.7 (2018): 3017-3036.

• L. Zhu and L. Najafizadeh, “Dynamic Time Warping-based Averaging Framework for Functional Near-Infrared Spectroscopy Brain Imaging Studies,” Journal of Biomedical Optics, 22(6): 066011, June 2017.

• Y. Huang, L. Zhu, F. Kong, C. Chun and L. Najafizadeh, “BiCMOS-Based Compensation: Towards Fully Curvature-Corrected Bandgap Reference Circuits,” IEEE Trans. on Circuits and Systems-I, DOI: 10.1109/TCSI.2017.2736062, 65.4 (2018): 1210-1223.

Under Review

• L. Zhu, S. Haghani, L. Najafizadeh, “On the Fractality of fNIRS Time Series Using Visibility Graph,” Under Review (20 pages).

In Preparation

• L. Zhu, A. Haddad, Y. Wang, T. Zeng, L. Najafizadeh, “The Optimal Electrode/Optode Configuration in EEG-fNIRS Multi-Modal Functional Brain Imaging Experiments,” In Preparation (31 pages).

CONFERENCE PAPERS

• A. Haddad, F. Shamsi, L. Zhu, L. Najafizadeh, “Identifying Dynamics of Brain Function Via Boolean Matrix Factorization,” 52nd Asilomar Conference on Signals, Systems, and Computers, IEEE, 2018.

• L. Zhu, S. Haghani, L. Najafizadeh, “Spatiotemporal Characterization of Brain Function Via Multiplex Visibility Graph,” OSA Technical Digest, Hollywood, FL, paper JTh3A-54, Apr. 2018.

• L. Zhu, C. Lee, D. Margolis, L. Najafizadeh, “Probing the dynamics of spontaneous cortical activities via wide field Ca+2 imaging in GCaMP6 transgenic mice, ” Wavelets and Sparsity XVII, Vol. 10394, DOI: 10.1117/12.2274119, SPIE-Optics and Photonics, 2017. (Invited Paper)

• L. Zhu, C. R. Lee, D. J. Margolis, L. Najafizadeh, “Predicting Behavior from Cortical Activity Recorded through Widefield Transcranial Imaging,” Proc. of International Conference on Lasers and Electro-Optics (CLEO’17), paper ATu3B.1, San Jose, CA, May 2017.

• L. Zhu, A. Haddad, T. Zeng, Y. Wang and L. Najafizadeh, “Assessing Optimal Electrode/Optode Arrangement in EEG-fNIRS Multi-Modal Imaging,” OSA Technical Digest, Fort Lauderdale, FL, paper JW3A-39, Apr. 2016.

• L. Zhu and L. Najafizadeh, “Temporal Dynamics of fNIRS-Recorded Signals Revealed Via Visibility Graph,” OSA Technical Digest, Fort Lauderdale, FL, paper JW3A-53, Apr. 2016.

• T. Zeng, L. Zhu, Y. Wang and L. Najafizadeh, “On the Relationship Between Trial-to-Trial Response Time Variability and fNIRS-Based Functional Connectivity,” OSA Technical Digest, Fort Lauderdale, FL, paper JW3AA-41, Apr. 2016.

• L. Zhu and L. Najafizadeh, “Does brain functional connectivity alter across similar trials during imaging experiments?” Proc. of IEEE Signal Processing in Medicine and Biology Symposium (SPMB’14), Philadelphia, PA, Dec. 2014.

• Y. Huang, L. Zhu, C. Cheung, and L. Najafizadeh, “A Low Temperature Coefficient Voltage Reference Utilizing BiCMOS Compensation Technique,” Proc. IEEE International Symposium on Circuits and Systems (ISCAS’14), Melbourne, Australia, June 2014, pp. 922-925. Best Student Paper Award (Runner Up)

• Y. Huang, L. Zhu, C. Cheung, and L. Najafizadeh, “A Curvature-Compensation Technique Based on the Difference of Si and SiGe Junction Voltages for Bandgap Voltage Circuits,” Proc. IEEE International Symposium on Circuits and Systems (ISCAS’14), Melbourne, Australia, June 2014, pp. 914-917.

• L. Zhu, M. Peifer, L. Najafizadeh, “Towards Improving the ‘Detection’ Power of Brain Imaging Experiments Using fNIRS,” OSA Technical Digest, Miami FL, paper BM3A-29, Apr. 2014.

• M. Peifer, L. Zhu, L. Najafizadeh, “Real-time Classification of Finger Tapping vs Imaginary Finger Tapping Using NIRS Data,” OSA Technical Digest, Miami, FL, paper BM3A-34, Apr. 2014.

CONFERENCE / MEETING ABSTRACTS

• L. Zhu, L. Najafizadeh, “Functional Brain Networks Analysis Based on Multiplex Visibility Graph,” Proc. Of Annual Meeting of the Organization for Human Brain Mapping, Vancouver, Canada, June 2017.

• L. Zhu, A. Haddad, T. Zeng, Y. Wang and L. Najafizadeh, “How to Co-Position EEG Electrodes and fNIRS Optodes in Multi-Modal Functional Brain Imaging Experiments?” in Proc. Of fNIRS Conference, Paris, France, Oct. 2016, p. 117.

• L. Zhu and L. Najafizadeh, “Trial-to-Trial Variability in Multi-Modal Imaging, an EEG-fNIRS Study,” Proc. Of Annual Meeting of the Organization for Human Brain Mapping, Honolulu, HI, June 2015.

• L. Zhu, A. Haddad, T. Zeng, Y. Wang and L. Najafizadeh, “On The Spatial Alignment of EEG-fNIRS Channels In Multi-Modal Functional Brain Imaging Experiments With Application In Neurovascular Coupling Studies,” 1st Annual Rutgers Brain Health Institute Symposium, Jersey City, NJ, Dec. 2015, p. 21.

• L. Zhu, M. Peifer, L. Najafizadeh, “Assessment of Brain Activation During Imagery and Actual Finger Tapping Tasks Using Near Infrared Spectroscopy,” IEEE Signal Processing in Medicine and Biology Symposium (SPMB’13), Brooklyn, NY, Dec. 2013.

PATENT

• L. Zhu, D. Chen, “Wearable device for non-invasive administration of continuous blood pressure monitoring without cuffing,” U.S. Application No.: 16/164,777 (pending).

TALKS

• Invited Talk on SPIE-Optics and Photonics 2017 - Probing the dynamics of spontaneous cortical activities via wide field Ca+2 imaging in GCaMP6 transgenic mice.

• CLEO 2017 - Predicting Behavior from Cortical Activity Recorded through Widefield Transcranial Imaging.

• SPMB 2014 - Does brain functional connectivity alter across similar trials during imaging experiments?

THESIS

• L. Zhu, “The Design of Analog and Digital Sources Compatible HDTV Based on TVP9000”, M.S. Thesis, Huazhong University of Science and Technology, 2008.