Contact Information

Biography

Dr. Lei Guo joined the faculty of the Department of Mathematics and Computer Science at the Duquesne University in Fall 2026. Prior to joining the department as a faculty member, she served as an adjunct faculty member at both the Duquesne University and the University of Pittsburgh. She also spent three years as an instructor in the Department of Mathematics and Computer Science at the University of Wisconsin–Stout.

Education

  • B.S. Electrical Engineering, Xi'an JiaoTong University
  • M.S. Industrial & Systems Engineering, National University of Singapore
  • Ph.D. Electrical and Computer Engineering, University of Pittsburgh

Research Interests

  • Artificial Intelligence
  • Machine Learning
  • Data Mining
  • Bioinformatics
  • Image Processing and Data Analysis

School

Publications

  1. Tang, H., Dai, S., Guo, L., Gu, P., Liu, G., Leow, A.D., Thompson, P.M., Huang, H., Zhan, L. and Alzheimer’s Disease Neuroimaging Initiative, 2025. Instantaneous Frequency: A New Functional Biomarker for Dynamic Brain Causal Networks. AI in Neuroscience, 1(2), pp.79-94.
  2. Tang H, Guo L, Fu X, Wang Y, Mackin S, Ajilore O, Leow AW, Thompson PM, Huang H, Zhan L. (2023) “Signed graph representation learning for functional-to- structural brain network mapping”. Medical Image Analysis. 83: 102674.
  3. Tang H, Ma GX, Guo L, Fu X, Huang H, Zhan L. (2022) “Contrastive brain network learning via hierarchical signed graph pooling model”. IEEE Transactions on Neural Networks and Learning systems. doi: 10.1109/ TNNLS.2022.3220220.
  4. Tang H, Guo L, Fu X, Qu B, Thompson PM, Huang H, Zhan L. (2022) “Hierarchical brain embedding using explainable graph learning”. IEEE 19th International Symposium on Biomedical Imaging (ISBI). 1-5.
  5. Tang H, Guo L, Fu X, Qu B, Ajilore O, Wang Y, Thompson PM, Huang H, Leow AD, Zhan L. (2022) “A hierarchical graph learning model for brain network regression analysis”. Frontiers in Neuroscience, 16.
  6. Chen Y, Tang H, Guo L, Peven JC, Huang H, Leow A, Lamar M, Zhan L. (2020) “A generalized framework of pathlength associated community estimation for brain structure network”. IEEE 17th International Symposium on Biomedical Imaging (ISBI), 288=291.
  7. Peven JC, Chen Y, Guo L, Zhan L, Boots EA, Dion C, Libon DJ, Heilman KM, Lamar M. (2019) “The oblique effect: The relationship between profiles of visuospatial preference, cognition, and brain connectomics in older adults”. Neuropsychologia. 135: 107236.
  8. Guo L, Tang H, Wang Q, Dennis E, Zhu D, Huang H, Ajilore O, Leow AD, Zhan L. (2019) “Identifying Configurational Abnormalities in Alzheimer’s Disease Progression Using Multi-View Structure Connectome”. IEEE 16th International Symposium on Biomedical Imaging (ISBI): 169-172.
  9. Fortel I, Butler M, Korthauer LE, Zhan L, Ajilore O, Driscoll I, Sidiropoulos A, Zhang Y, Guo L, Huang H, Schonfeld D, Leow A. (2019) 22nd International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI 2019): 503-511.
  10. Tang H, Guo L, Dennis E, Thompson PM, Huang H, Ajilore O, Leow AD, Zhan L. (2019) “Classifying stages of mild cognitive impairment via augmented graph embedding”. Multimodal Brain Image Analysis (MBIA 2019). 30-38.