Teresa Wu is a professor in Industrial Engineering Program at School of Computing and Augmented Intelligence of Arizona State University. She received her doctorate from the University of Iowa. She is National Science Foundation (NSF) CAREER award winner (2003) and ASU tenure and promotion exemplar (2006). Her main areas of interests are in Health Informatics, Distributed Decision Support. In 2018, she was appointed a professor of radiology (by courtesy) at Mayo Clinic. She is the founding co-director of ASU-Mayo Center for Innovative Imaging.
Education
Ph.D. Industrial Engineering, University of Iowa
M.S. Mechanical Engineering, BeiHang University, China
B.S. Mechanical Engineering, BeiHang University, China
Charlton, J., * Xu, Y., Parvin, N., Wu, T., Gao, F., Baldelomar, E., Morozov, D., Beeman, S., Derakhshan, J., Bennett, K., “Image analysis techniques to map pyramids, pyramid structure, glomerular distribution, and pathology in the intact human kidney from 3D MRI", American Journal of Physiology-Renal Physiology (in press), 2021.
Chong, C., †Zhang, J., Li, J., Wu, T., Dumkrieger, G., Nikolova, S., Ross, K., Stegmann, G., Liss, J., Schwedt, T., Jayasuriya, S., Berisha, V., “Altered Speech Patterns in Subjects with Post-Traumatic Headache Due to Mild Traumatic Brain Injury”, The Journal of Headache and Pain, (in press), 2021.
†Rassoulinejad-Mousavi, S., M., *Al-Hindawi, F., †Soori, T., Rokoni, A., Yoon, H., Hu, H., Wu, T., Sun, Y., “Deep learning strategies for critical heat flux detection in pool boiling”, Applied Thermal Engineering, https://doi.org/10.1016/j.applthermaleng.2021.116849
†Wang, W., Wang, S., Wang, X., Liu, D., Geng, Y, Wu, T. “A glucose-insulin mixture model and its application to nocturnal hypoglycemia prediction”, IEEE Transactions on Biomedical Engineering, 2021 Mar;68(3):834-845. doi: 10.1109/TBME.2020.3015199.
†Awada, M., Becerik-Gerber, B., Hoque, S., O’Neill, Z., Pedrelli, G., Wu, T., “Ten Questions Concerning Occupant Health in Buildings During Normal Operations and Extreme Events including the COVID-19 Pandemic”, Building and Environment, Vol. 188, 2021, 107480, https://doi.org/10.1016/j.buildenv.2020.107480
Talmage, C., Knopf, R., Wu, T., Winkel, D., Mirchandani, P., “Decreasing Loneliness and Social Disconnectedness Among Community-Dwelling Older Adults: The Potential of Information and Communication Technologies and Ride-Hailing Services”, Activities, Adaption & Aging, 2020, https://doi.org/10.1080/01924788.2020.1724584
*Xu, Y., Wu, T., Charlton, J., *Gao, F., Bennett, K., “Small Blob Detector Using Bi-threshold Constrained Adaptive Scales”, IEEE Transactions on Biomedical Engineering, 2020, DOI: 10.1109/TBME.2020.3046252
*Xu, Y., *Gao, F., Wu, T., Charlton, J., Bennett, K., Improved small blob detection in 3D images using jointly constrained deep learning and Hessian analysis”, Scientific Report, 10, article number: 326 (2020), available at https://www.nature.com/articles/s41598-019-57223-y
*Gao, F., Yoon, H., *Xu, Y., Goradia, D., Luo, J., Wu, T., Su, Y., “AD-NET: Age-adjust neural network for improved MCI to AD conversion prediction”, NeuroImaging: Clinical, vol. 27, 2020, https://doi.org/10.1016/j.nicl.2020.102290
*Gao, F., Wu, T., Chu, X, Yoon, H., Xu, Y., Patel, B., “Deep Residual Inception Encoder-Decoder Network for Medical Imaging Synthesis”, IEEE J Biomed Health Informatics, Vol. 24, issue 1, pp. 39-49, 2020. doi: 10.1109/JBHI.2019.2912659
Research Activity
Multi-Modality Image Data Fusion and Machine Learning Approaches for Personalized Diagnostics and Prognostics of MCI due to AD, $2.4M (ASU sub-contract $542K), Role: PI from ASU, MS Tech (PI Lure, prime is NIA), 2020-2022
Pathways linking neuropsychiatric symptoms with Alzheimer’s Disease neuroimaging biomarkers and the outcome of incident mild cognitive impairment/dementia, ASU sub-contract $220,769 (added for Years 4, 5), Role: Co-PI from ASU (ASU PI Forzani), Barrow Neurological Institute (PI Geda, prime is NIA), 2020-2022
Collaborative Research: FET: Small: Hierarchical Computational Framework for large scale RNA Design Pathway Discovery through Data and Experiments, $275K, Role: Co-PI (lead PI is ASU Pedrielli),NSF, 2020-2023
Securing Grid-interactive Efficient Buildings (GEB) through Cyber Defense and Resilient System (CYDRES), $2.3M (ASU sub-contract $500K), Role: PI from ASU (ASU Co-PI is Candan), Texas A&M (PI O’Neill, prime is DOE), 2020-2023
Inverse Mapping of Spatial-Temporal Molecular Heterogeneity from Imaging Phenotype, $800K (ASU sub-contract $134K), Role: PI from ASU, Georgia Tech. (PI Li, prime is NSF), 2020-2023
SCH:INT: Collaborative Research: Non-contact Smart Monitor for Sleep Disorder Diagnosis and Intervention, $594,000 (ASU sub-contract $80,000), Role: PI from ASU, University of Hawaii (PI Lubecke, prime is NSF), 2019-2023
Collaborative Research: AccelNet: An International Network of Networks for Well-being in the Built Environment (IN2WIBE), $750,000 (ASU portion $168,750), Role: Co-PI (with ASU Pedrielli) , NSF, 2019-2022
A Multidisciplinary Translational Approach to Investigate the Mechanisms, Predictors, and Prevention of Persistent Post-Traumatic Headache ~$10M (ASU sub-contract $1.3M), Role: PI from ASU, Mayo Clinic (PI Schwedt, prime is DoD CDMRP), 2019-2023
Biomarker Signature to Predict the Persistence of Post-Traumatic Headache, $5.3M (ASU subcontract $1.4M), Role: PI from ASU (ASU Co-PI is Berisha), Mayo Clinic (PI Chong, prime is NIH/NINDS R61/R33), 2019-2024
Imaging the Migraine Brain Pre- and Post-Erenumab: an MRI Study to Identify Functional and Structural Changes that Correlate with Patient Improvement, $1.18M (ASU sub-contract $237K), Role: PI from ASU, Mayo Clinic (PI Schwedt, prime is Amgen Inc.), 2019-2021 (NCE)
PFI-RP: Data-Driven Services for High Performance and Sustainable Buildings, $750K (ASU sub-contract $216K), Role: PI from ASU (ASU Co-PI is Candan), Texas A&M (PI O’Neill, prime is NSF), 2018-2022.
Comprehensive MRI-based evaluation of human renal microstructure, $1.8M (ASU sub-contract $386K), Role: PI from ASU, University of Virginia (MPI Charlton & Bennett, prime is NIH-NIDDK R01), 2017-2021 (NCE)
