Teresa Wu

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Research activity per year

Education/Academic qualification

PHD, University of Iowa

… → 2001

MS, Beijing University of Aeronautics and Astronautics

… → 1995

BS, Beijing University of Aeronautics and Astronautics

… → 1992

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Dive into the research topics where Teresa Wu is active. These topic labels come from the works of this person. Together they form a unique fingerprint.

1 Similar Profiles

1 Active
67 Finished

PIRE: Building Decarbonization via AI-empowered District Heat Pump Systems
Wu, T. (PI) & Candan, K. (CoI)
National Science Foundation (NSF)
1/1/23 → 12/31/25
Project: Research project
Machine Learning and Artificial Intelligence in Alzheimers Research
Li, B. (CoI) & Wu, T. (PI)
Arizona Alzheimer's Consortium
7/1/23 → 6/30/24
Project: Research project
Smart driving technology for non-invasive detection of age-related cognitive decline
Wu, T. (CoI) & Forzani, E. (PI)
HHS: National Institutes of Health (NIH)
8/15/22 → 7/31/24
Project: Research project
Tracer harmonization for amyloid and tau PET imaging using statistical and deep l - Resubmission - 1
Li, B. (CoI) & Wu, T. (PI)
HHS: National Institutes of Health (NIH)
8/1/22 → 7/31/25
Project: Research project
Advanced Imaging and Machine Learning in Alzheimers Research - Revision - 1
Wu, T. (PI) & Li, B. (CoI)
Arizona Alzheimer's Consortium
7/1/22 → 6/30/23
Project: Research project

153 Article
51 Conference contribution
5 Review article
4 Chapter
More

Longitudinal analysis of pain-induced brain activations in post-traumatic headache
Ku, D., Mao, L., Nikolova, S., Dumkrieger, G. M., Ross, K. B., Huentelman, M., Anderson, T., Porreca, F., Navratilova, E., Starling, A., Wu, T., Li, J., Chong, C. D. & Schwedt, T. J., May 2025, In: Cephalalgia. 45, 5, 03331024251345160.
Research output: Contribution to journal › Article › peer-review

Open Access
Correlation enhanced distribution adaptation for prediction of fall risk
Guo, Z., Wu, T., Lockhart, T. E., Soangra, R. & Yoon, H., Dec 2024, In: Scientific reports. 14, 1, 3477.
Research output: Contribution to journal › Article › peer-review

Open Access
1 Scopus citations
Domain-knowledge Inspired Pseudo Supervision (DIPS) for unsupervised image-to-image translation models to support cross-domain classification
Al-Hindawi, F., Rahman Siddiquee, M. M., Wu, T., Hu, H. & Sun, Y., Jan 2024, In: Engineering Applications of Artificial Intelligence. 127, 107255.
Research output: Contribution to journal › Article › peer-review
7 Scopus citations
Harmonizing florbetapir and PiB PET measurements of cortical Aβ plaque burden using multiple regions-of-interest and machine learning techniques: An alternative to the Centiloid approach
Chen, K., Ghisays, V., Luo, J., Chen, Y., Lee, W., Wu, T., Reiman, E. M. & Su, Y., Mar 2024, In: Alzheimer's and Dementia. 20, 3, p. 2165-2172 8 p.
Research output: Contribution to journal › Article › peer-review

Open Access
4 Scopus citations
A critical review of cyber-physical security for building automation systems
Li, G., Ren, L., Fu, Y., Yang, Z., Adetola, V., Wen, J., Zhu, Q., Wu, T., Candan, K. S. & O'Neill, Z., Jan 2023, In: Annual Reviews in Control. 55, p. 237-254 18 p.
Research output: Contribution to journal › Review article › peer-review

Open Access
45 Scopus citations

Data on Networks Reported by Researchers at University of Alabama (Deep-neural-network-enabled Vehicle Detection Using High-resolution Automotive Radar Imaging)
Wu, T.
1/26/24
1 item of Media coverage
Press/Media: Press / Media
U.S. Patents Awarded to Inventors in Arizona (Jan. 3)
Mason, H., Wu, T. & Friesen, C.
1/3/24
1 item of Media coverage
Press/Media: Press / Media
US Patent Issued to Mayo Foundation for Medical Education and Research, Arizona Board of Regents on behalf of Arizona State University on Jan. 2 for "Methods for using machine learning and mechanistic models for biological feature mapping with multiparame
Wu, T.
1/3/24
1 item of Media coverage
Press/Media: Press / Media
Findings from Arizona State University in the Area of Amyloid Reported (Deep Residual Inception Encoder-decoder Network for Amyloid Pet Harmonization)
Wu, T. & Li, B.
1/2/24
1 item of Media coverage
Press/Media: Press / Media
Methods for Using Machine Learning and Mechanistic Models for Biological Feature Mapping With Multiparametric MRI
Wu, T.
1/2/24
1 item of Media coverage
Press/Media: Press / Media

Teresa Wu

Personal profile

Education/Academic qualification

Fingerprint

Collaborations and top research areas from the last five years

Dive into details

PIRE: Building Decarbonization via AI-empowered District Heat Pump Systems

Machine Learning and Artificial Intelligence in Alzheimers Research

Smart driving technology for non-invasive detection of age-related cognitive decline

Tracer harmonization for amyloid and tau PET imaging using statistical and deep l - Resubmission - 1

Advanced Imaging and Machine Learning in Alzheimers Research - Revision - 1

Longitudinal analysis of pain-induced brain activations in post-traumatic headache

Correlation enhanced distribution adaptation for prediction of fall risk

Domain-knowledge Inspired Pseudo Supervision (DIPS) for unsupervised image-to-image translation models to support cross-domain classification

Harmonizing florbetapir and PiB PET measurements of cortical Aβ plaque burden using multiple regions-of-interest and machine learning techniques: An alternative to the Centiloid approach

A critical review of cyber-physical security for building automation systems

Data on Networks Reported by Researchers at University of Alabama (Deep-neural-network-enabled Vehicle Detection Using High-resolution Automotive Radar Imaging)

U.S. Patents Awarded to Inventors in Arizona (Jan. 3)

US Patent Issued to Mayo Foundation for Medical Education and Research, Arizona Board of Regents on behalf of Arizona State University on Jan. 2 for "Methods for using machine learning and mechanistic models for biological feature mapping with multiparame

Findings from Arizona State University in the Area of Amyloid Reported (Deep Residual Inception Encoder-decoder Network for Amyloid Pet Harmonization)

Methods for Using Machine Learning and Mechanistic Models for Biological Feature Mapping With Multiparametric MRI

Teresa Wu

Personal profile

Education/Academic qualification

Fingerprint

Collaborations and top research areas from the last five years

Grants

Scholarly Works

Press/Media