Faculty Profile

Lin Li

Title
Assistant Professor
Department
Biomedical Engineering
College
College of Engineering

    

Education

PhD, University of Texas at Arlington, 2015.
Major: Biomedical Engineering
BS, Huazhong University of Science and Technology, 2009.
Major: Optoelectronic Engineering

Current Scheduled Teaching*

BMEN 3311.001, Biomedical Signal Analysis, Fall 2024
BMEN 3311.301, Biomedical Signal Analysis, Fall 2024
BMEN 3311.302, Biomedical Signal Analysis, Fall 2024
BMEN 6910.006, Individual Research, Fall 2024
BMEN 6950.001, Biomedical Engineering Doctoral Dissertation, Summer 2024

* Texas Education Code 51.974 (HB 2504) requires each institution of higher education to make available to the public, a syllabus for undergraduate lecture courses offered for credit by the institution.

Previous Scheduled Teaching*

BMEN 6950.006, Biomedical Engineering Doctoral Dissertation, Spring 2024
BMEN 6910.012, Individual Research, Spring 2024
BMEN 5322.001, Medical Imaging, Spring 2024 SPOT
BMEN 6950.006, Biomedical Engineering Doctoral Dissertation, Fall 2023
BMEN 3311.001, Biomedical Signal Analysis, Fall 2023 Syllabus SPOT
BMEN 3311.301, Biomedical Signal Analysis, Fall 2023
BMEN 3311.302, Biomedical Signal Analysis, Fall 2023
BMEN 6910.006, Individual Research, Fall 2023
BMEN 2900.013, Special Problems in Biomedical Engineering, Summer 10W 2023
BMEN 5900.010, Special Problems in Biomedical Engineering, Summer 10W 2023
BMEN 6950.006, Biomedical Engineering Doctoral Dissertation, Spring 2023
BMEN 6910.012, Individual Research, Spring 2023
BMEN 2900.006, Special Problems in Biomedical Engineering, Spring 2023
BMEN 5900.014, Special Problems in Biomedical Engineering, Spring 2023
BMEN 6950.006, Biomedical Engineering Doctoral Dissertation, Fall 2022
BMEN 3311.001, Biomedical Signal Analysis, Fall 2022 Syllabus SPOT
BMEN 3311.301, Biomedical Signal Analysis, Fall 2022
BMEN 3311.302, Biomedical Signal Analysis, Fall 2022
BMEN 6910.006, Individual Research, Fall 2022
BMEN 5900.011, Special Problems in Biomedical Engineering, Fall 2022
BMEN 5900.010, Special Problems in Biomedical Engineering, Summer 10W 2022
BMEN 6950.006, Biomedical Engineering Doctoral Dissertation, Spring 2022
BMEN 5322.001, Medical Imaging, Spring 2022 Syllabus SPOT
BMEN 2900.006, Special Problems in Biomedical Engineering, Spring 2022
BMEN 6950.006, Biomedical Engineering Doctoral Dissertation, Fall 2021
BMEN 3311.001, Biomedical Signal Analysis, Fall 2021 Syllabus SPOT
BMEN 3311.301, Biomedical Signal Analysis, Fall 2021 SPOT
BMEN 3311.302, Biomedical Signal Analysis, Fall 2021 SPOT
BMEN 6910.006, Individual Research, Fall 2021
MTSE 6950.041, Doctoral Dissertation, Spring 2021
EENG 6940.017, Individual Research, Spring 2021
MTSE 6940.043, Individual Research, Spring 2021
BMEN 5950.004, Master's Thesis, Spring 2021
BMEN 5322.001, Medical Imaging, Spring 2021 Syllabus SPOT
BMEN 5900.004, Special Problems in Biomedical Engineering, Spring 2021
BMEN 3311.001, Biomedical Signal Analysis, Fall 2020 Syllabus SPOT
BMEN 3311.301, Biomedical Signal Analysis, Fall 2020 SPOT
BMEN 3311.302, Biomedical Signal Analysis, Fall 2020 SPOT
BMEN 3311.303, Biomedical Signal Analysis, Fall 2020 SPOT
EENG 6940.017, Individual Research, Fall 2020
MTSE 6940.046, Individual Research, Fall 2020
MTSE 6940.047, Individual Research, Fall 2020
MTSE 6940.048, Individual Research, Fall 2020
BMEN 5950.004, Master's Thesis, Fall 2020
BMEN 2900.004, Special Problems in Biomedical Engineering, Fall 2020
EENG 6940.017, Individual Research, Spring 2020
MTSE 6940.043, Individual Research, Spring 2020
MTSE 6940.045, Individual Research, Spring 2020
BMEN 5950.005, Master's Thesis, Spring 2020
BMEN 5322.001, Medical Imaging, Spring 2020
BMEN 3311.001, Biomedical Signal Analysis, Fall 2019 Syllabus SPOT
BMEN 3311.301, Biomedical Signal Analysis, Fall 2019 SPOT
BMEN 3311.302, Biomedical Signal Analysis, Fall 2019 SPOT
BMEN 3311.303, Biomedical Signal Analysis, Fall 2019 SPOT

* Texas Education Code 51.974 (HB 2504) requires each institution of higher education to make available to the public, a syllabus for undergraduate lecture courses offered for credit by the institution.

Published Publications

Published Intellectual Contributions

Conference Proceeding
Zhou, Y., You, J., Zhu, F., Bragin, A., Engel, J., Li, L. (2021). Automatic Electrophysiological Noise Reduction and Epileptic Seizure Detection for Stereoelectroencephalography. 2021 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC). IEEE. http://dx.doi.org/10.1109/embc46164.2021.9630651
Ali, Z. A., Meng, N., Lin, L. Problem Based Learning: Key Learning from an Instructional Model Implementation with Client Partner. AECT Annual Convention Conference Proccedings. Bloomington, IN: Association of Educational Communications and Technology. https://aect.org/aects_annual_convention_proce.php
Li, L., Babawale, O., Cazzell, M., Liu, H. (2016). Assessment of resting-state brain networks in young and older adults by automatic voxel classification with atlas-guided diffuse optical tomography. Biomedical Optics 2016. OSA. http://dx.doi.org/10.1364/cancer.2016.jw3a.46
Li, L., Zeng, L., Cazzell, M., Liu, H. (2014). A statistical approach to assess measurement reliability of functional DOT for brain imaging. Biomedical Optics 2014. OSA. http://dx.doi.org/10.1364/biomed.2014.bm3a.27
Li, L., Cazzell, M., Liu, H. (2014). Investigation of age difference under risk decision-making using atlas-guided diffuse optical tomography. Biomedical Optics 2014. OSA. http://dx.doi.org/10.1364/biomed.2014.bm3a.26
Lin, Z., Li, L., Cazzell, M., Liu, H., Kollias, N., Choi, B., Zeng, H., Kang, H. W., Knudsen, B. E., Wong, B. J., Ilgner, J. F., Suter, M. J., Lam, S., Brenner, M., Gregory, K. W., Tearney, G. J., Marcu, L., Hirschberg, H., Madsen, S. J., Mahadevan-Jansen, A., Jansen, E. D., Mandelis, A., Morris, M. D. (2013). Monitoring of human brain functions in risk decision-making task by diffuse optical tomography using voxel-wise general linear model. Photonic Therapeutics and Diagnostics IX. SPIE. http://dx.doi.org/10.1117/12.2005538
Li, L., Lin, Z., Cazzell, M., Liu, H., Kollias, N., Choi, B., Zeng, H., Kang, H. W., Knudsen, B. E., Wong, B. J., Ilgner, J. F., Suter, M. J., Lam, S., Brenner, M., Gregory, K. W., Tearney, G. J., Marcu, L., Hirschberg, H., Madsen, S. J., Mahadevan-Jansen, A., Jansen, E. D., Mandelis, A., Morris, M. D. (2013). Test-retest assessment of functional near-infrared spectroscopy to measure risk decision making in young adults. Photonic Therapeutics and Diagnostics IX. SPIE. http://dx.doi.org/10.1117/12.2005552
Lin, Z., Ren, M., Li, L., Yang, S., Liu, H. (2012). Diffuse optical tomography to study ischemic stroke in preclinical rat models. Biomedical Optics and 3-D Imaging. OSA. http://dx.doi.org/10.1364/biomed.2012.btu3a.32
Li, L., Lin, Z., Cazzell, M., Liu, H. (2012). Measurement of brain activations to examine gender-specific risk decision making using functional near infrared spectroscopy (fNIRS). Biomedical Optics and 3-D Imaging. OSA. http://dx.doi.org/10.1364/biomed.2012.btu3a.34
Niu, H., Li, L., Bhave, G. S., Lin, Z., Tian, F., Khosrow, B., Zhang, R., Liu, H. (2011). Investigation of cerebral hemodynamic changes during repeated sit-stand maneuver using functional near-infrared spectroscopy. Dynamics and Fluctuations in Biomedical Photonics VIII. SPIE. http://dx.doi.org/10.1117/12.875944
Journal Article
Zhu, F., Wang, H., Li, L., Bragin, A., Cao, D., Chen, Y. (2023). Intracranial electrophysiological recordings on a swine model of mesial temporal lobe epilepsy.
Zhou, Y., You, J., Kumar, U., Weiss, S. A., Bragin, A., Engel, J., Papadelis, C., Li, L. (2022). An approach for reliably identifying high-frequency oscillations and reducing false-positive detections. Other. 7(4), 674-686. Wiley Online. https://onlinelibrary.wiley.com/doi/full/10.1002/epi4.12647
Liu, A., Henin, S., Abbaspoor, S., Bragin, A., Buffalo, E., Farrell, J., Foster, D., Frank, ., Gedankien, T., Gotman, J., Guidera, J., Hoffman, K., Jacobs, J., Kahana, ., Li, L., Liao, Z., Lin, J., Losonczy, A., Malach, R., van der Meer, ., McClain, ., McNaughton, B., Norman, Y., Navas-Olive, ., Prida, L., Rueckemann, J., Sakon, J. J., Skelin, I., Soltesz, I., Staresina, B., Weiss, S. A., Wilson, M. A., Zaghloul, K. A., Zugaro, M., Buzsáki, G. (2022). A consensus statement on detection of hippocampal sharp wave ripples and differentiation from other fast oscillations. Nature Communications. 13(6000), . Frontiers Media SA. https://www.nature.com/articles/s41467-022-33536-x
You, J., Huang, H., Chan, T., Li, L. (2022). Pathological Targets for Treating Temporal Lobe Epilepsy: Discoveries From Microscale to Macroscale. Other. 12, . Frontiers Media SA. http://dx.doi.org/10.3389/fneur.2021.779558
Li, L., Kumar, U., You, J., Zhou, Y., Weiss, S. A., Engel, J., Bragin, A. (2021). Spatial and temporal profile of high-frequency oscillations in posttraumatic epileptogenesis. Other. 161, 105544. Elsevier BV. http://dx.doi.org/10.1016/j.nbd.2021.105544
Kumar, U., Li, L., Bragin, A., Engel, J. (2021). Spike and wave discharges and fast ripples during posttraumatic epileptogenesis. Other. 62(8), 1842-1851. Wiley. http://dx.doi.org/10.1111/epi.16958
You, J., Bragin, A., Liu, H., Li, L. (2021). Preclinical studies of transcranial photobiomodulation in the neurological diseases. Other. 3(2), . Wiley. http://dx.doi.org/10.1002/tbio.202000024
Li, L., He, L., Harris, N., Zhou, Y., Engel, J., Bragin, A. (2021). Topographical reorganization of brain functional connectivity during an early period of epileptogenesis. Other. 62(5), 1231-1243. Wiley. http://dx.doi.org/10.1111/epi.16863
Choi, D., Li, L., Liu, H., Zeng, L. (2020). A recursive partitioning approach for subgroup identification in brain–behaviour correlation analysis. Other. 23(1), 161-177. Springer Science and Business Media LLC. http://dx.doi.org/10.1007/s10044-018-00775-y
Cao, D., Chen, Y., Liao, J., Nariai, H., Li, L., Zhu, Y., Zhao, X., Hu, Y., Wen, F., Zhai, Q. (2019). Scalp EEG high frequency oscillations as a biomarker of treatment response in epileptic encephalopathy with continuous spike-and-wave during sleep (CSWS). Other. 71, 151-157. Elsevier BV. http://dx.doi.org/10.1016/j.seizure.2019.05.023
Li, L., Bragin, A., Staba, R., Engel, J. (2019). Unit firing and oscillations at seizure onset in epileptic rodents. Other. 127, 382-389. Elsevier BV. http://dx.doi.org/10.1016/j.nbd.2019.03.027
Li, L., Kriukova, K., Engel, J., Bragin, A. (2018). Seizure development in the acute intrahippocampal epileptic focus. Scientific Reports. 8(1), . Springer Science and Business Media LLC. http://dx.doi.org/10.1038/s41598-018-19675-6
Li, L. (2018). Whole-cortical graphical networks at wakeful rest in young and older adults revealed by functional near-infrared spectroscopy. Other. 5(03), 1. SPIE-Intl Soc Optical Eng. http://dx.doi.org/10.1117/1.nph.5.3.035004
Culaclii, S., Kim, B., Lo, Y., Li, L., Liu, W. (2018). Online Artifact Cancelation in Same-Electrode Neural Stimulation and Recording Using a Combined Hardware and Software Architecture. Other. 12(3), 601-613. Institute of Electrical and Electronics Engineers (IEEE). http://dx.doi.org/10.1109/tbcas.2018.2816464
Li, L., Patel, M., Almajano, J., Engel, J., Bragin, A. (2018). Extrahippocampal high-frequency oscillations during epileptogenesis. Other. 59(4), e51-e55. Wiley. http://dx.doi.org/10.1111/epi.14041
Li, L., Cazzell, M., Zeng, L., Liu, H. (2017). Are there gender differences in young vs. aging brains under risk decision-making? An optical brain imaging study. Other. 11(4), 1085-1098. Springer Science and Business Media LLC. http://dx.doi.org/10.1007/s11682-016-9580-z
Li, L., Cazzell, M., Babawale, O., Liu, H. (2016). Automated voxel classification used with atlas-guided diffuse optical tomography for assessment of functional brain networks in young and older adults. Other. 3(4), 045002. SPIE-Intl Soc Optical Eng. http://dx.doi.org/10.1117/1.nph.3.4.045002
Bragin, A., Li, L., Almajano, J., Alvarado-Rojas, C., Reid, A. Y., Staba, R. J., Engel, J. (2016). Pathologic electrographic changes after experimental traumatic brain injury. Other. 57(5), 735-745. Wiley. http://dx.doi.org/10.1111/epi.13359
Li, L., Zeng, L., Lin, Z., Cazzell, M., Liu, H. (2015). Tutorial on use of intraclass correlation coefficients for assessing intertest reliability and its application in functional near-infrared spectroscopy–based brain imaging. Journal of Biomedical Optics. 20(5), 050801. SPIE-Intl Soc Optical Eng. http://dx.doi.org/10.1117/1.jbo.20.5.050801
Lin, Z., Li, L., Cazzell, M., Liu, H. (2014). Atlas‐guided volumetric diffuse optical tomography enhanced by generalized linear model analysis to image risk decision‐making responses in young adults. Other. 35(8), 4249-4266. Wiley. http://dx.doi.org/10.1002/hbm.22459
Lin, Z., Ren, M., Li, L., Liu, Y., Su, J., Yang, S., Liu, H. (2014). Interleaved imaging of cerebral hemodynamics and blood flow index to monitor ischemic stroke and treatment in rat by volumetric diffuse optical tomography. NeuroImage. 85, 566-582. Elsevier BV. http://dx.doi.org/10.1016/j.neuroimage.2013.07.020
Lin, Z., Niu, H., Li, L., Liu, H. (2012). Volumetric Diffuse Optical Tomography for Small Animals Using a CCD-Camera-Based Imaging System. Other. 2012, 1-10. Hindawi Limited. http://dx.doi.org/10.1155/2012/276367
Cazzell, M., Li, L., Lin, Z., Patel, S. J., Liu, H. (2012). Comparison of neural correlates of risk decision making between genders: An exploratory fNIRS study of the Balloon Analogue Risk Task (BART). NeuroImage. 62(3), 1896-1911. Elsevier BV. http://dx.doi.org/10.1016/j.neuroimage.2012.05.030

Awarded Grants

Contracts, Grants and Sponsored Research

Grant - Research
Engel, J. (Principal), Vossel, K. (Co-Principal), Staba, R. (Co-Principal), Bragin, A. (Co-Principal), Li, L. (Co-Principal), "In Vivo Studies of the Epileptic Hippocampus," Sponsored by NIH, Federal, $6215421 Funded. (March 1, 2023February 28, 2028).
Li, L. (Principal), "New approach for identification pHFO networks to predict epileptogenesis," Sponsored by NIH, Federal, $720101 Funded. (July 15, 2022June 30, 2026).
Meckes, B. (Principal), Li, L. (Principal), "Nanoparticles for Blood Brain Barrier Delivery," Sponsored by University of North Texas, University of North Texas, $10000 Funded. (February 7, 2022February 28, 2023).
Li, L. (Principal), "UCLA Neurology Epilepsy Data Evaluation," Sponsored by University of California Los Angeles, University of North Texas, $35000 Funded. (May 1, 2020August 31, 2022).
Li, L. (Principal), Fuchs, J. (Co-Principal), "Photobiomodulation on regulating Mitochondria Dysfunctions during Epileptogenesis," Sponsored by University of North Texas, University of North Texas, $10000 Funded. (July 1, 2021June 30, 2022).
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Overall
Summative Rating
Challenge and
Engagement Index
Response Rate

out of 5

out of 7
%
of
students responded
  • Overall Summative Rating (median):
    This rating represents the combined responses of students to the four global summative items and is presented to provide an overall index of the class’s quality. Overall summative statements include the following (response options include a Likert scale ranging from 5 = Excellent, 3 = Good, and 1= Very poor):
    • The course as a whole was
    • The course content was
    • The instructor’s contribution to the course was
    • The instructor’s effectiveness in teaching the subject matter was
  • Challenge and Engagement Index:
    This rating combines student responses to several SPOT items relating to how academically challenging students found the course to be and how engaged they were. Challenge and Engagement Index items include the following (response options include a Likert scale ranging from 7 = Much higher, 4 = Average, and 1 = Much lower):
    • Do you expect your grade in this course to be
    • The intellectual challenge presented was
    • The amount of effort you put into this course was
    • The amount of effort to succeed in this course was
    • Your involvement in course (doing assignments, attending classes, etc.) was
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