Publications
2025
Understanding the role of artificial intelligence in improving human well-being within the built environment
Building Simulation, 2025/7/26
Interpretable deep learning framework for understanding molecular changes in human brains with Alzheimer’s disease: implications for microglia activation and sex differences
npj Aging, 2025/7/16
Unsupervised domain adaptation for HVAC fault diagnosis using contrastive adaptation network
Energy and Buildings, 2025/6/15
Preterm birth increases susceptibility to hyperglycemia induced glomerular alterations in male mice
Scientific reports, 2025/5/29
Angle-controllable RNA tiles for programable array assembly and RNA sensing
Nature communications, 2025/4/19
Automated multi-lesion annotation in chest x-rays: annotating over 450,000 images from public datasets using the AI-based smart imagery framing and truthing (SIFT) system
Medical Imaging 2025: Image Perception, Observer Performance, and Technology Assessment, 2025/4/10
Using Large-scale Contrastive Language-Image Pre-training to Maximize Brain MRI-Based Headache Classification (P4-12.007)
Neurology, 2025/4/8
Development of an AI-based smart imagery framing and truthing (SIFT) system to annotate pulmonary abnormalities with corresponding boundaries based on CT images
Medical Imaging 2025: Computer-Aided Diagnosis, 2025/4/4
Healthy Bio-Core: A Framework for Selection of Homogeneous Healthy Biomedical Multivariate Time Series Employing Classification Performance
IEEE Journal of Biomedical and Health Informatics, 2025/3/3
Game-Theoretic Analysis of Policy Impacts in Competition Between Reverse Supply Chains Involving Traditional and E-Channels
Smart Cities, 2025/2/18
Abstract TP281: Prevalence of stroke in individuals with Migraine: A risk analysis accounting for comorbidities using participant information from the All of Us database
Stroke, 2025/2
Predicting cognitive decline from neuropsychiatric symptoms and Alzheimer’s disease biomarkers: A machine learning approach to a population-based data
Journal of Alzheimer’s Disease, 2025/2
TP-CL: A novel temporal proximity contrastive learning approach for obstructive sleep apnea detection using single-lead electrocardiograms
Biomedical Signal Processing and Control, 2025/2/1
LiveDrive AI: A Pilot Study of a Machine Learning-Powered Diagnostic System for Real-Time, Non-Invasive Detection of Mild Cognitive Impairment
Bioengineering, 2025/1/17
Physical activity and the outcome of cognitive trajectory: a machine learning approach
European Review of Aging and Physical Activity, 2025/1/10
AnoFPDM: Anomaly Detection with Forward Process of Diffusion Models for Brain MRI
Proceedings of the Winter Conference on Applications of Computer Vision, 2025
2024
Healthy core: Harmonizing brain MRI for supporting multicenter migraine classification studies
PloS one, 2024/12/31
Smart Driving Technology for Non-Invasive Detection of Age-Related Cognitive Decline
Sensors, 2024/12/18
Enhancing Amyloid PET Quantification: MRI-Guided Super-Resolution Using Latent Diffusion Models
Life, 2024/12/1
End‐to‐End 3D CycleGAN Model for Amyloid PET Harmonization
Alzheimer’s & Dementia, 2024/12
Predictive modeling of biomedical temporal data in healthcare applications: review and future directions
Frontiers in Physiology, 2024/10/15
Emulation and detection of physical faults and cyber-attacks on building energy systems through real-time hardware-in-the-loop experiments
BMC Informatics, 2024/9/30
Predicting RNA sequence-structure likelihood via structure-aware deep learning
BMC Informatics, 2024/9/30
Evaluation of data imputation approaches for multi-stream building systems data
Science and Technology for the Built Environment, 2024/9/13
A feature extraction framework with entropy on graphs for cross-dataset building fault detection
IEEE 20th International Conference on Automation Science and Engineering (CASE), 2024
An entropy-based causality framework for cross-level faults diagnosis and isolation in building HVAC systems
Energy and Buildings, 2024/8/15
E-BDL: enhanced band-dependent learning framework for augmented radar sensing
Sensors, 2024/7/17
Eigen-entropy based time series signatures to support multivariate time series classification
Scientific reports, 2024/7/12
Anofpdm: Anomaly segmentation with forward process of diffusion models for brain mri
arXiv preprint arXiv:2404.15683, 2024/4/24
Prediction of Headache Improvement Using Multimodal Machine Learning in Patients with Acute Post-traumatic Headache (P5-12.002)
Neurology, 2024/4/14
Applying Generative Adversarial Network on Structural Brain MRI for Unsupervised Classification of Headache (P5-12.003)
Neurology, 2024/4/14
Securing Grid-Interactive Efficient Buildings (GEB) Through Cyber Defense and Resilient System (CYDRES)
DOE-TAMU-EE9150-Final, 2024/3/25
Correlation enhanced distribution adaptation for prediction of fall risk
Scientific reports, 2024/2/12
A Data-driven AFDD Approach Using Acoustic Emission In Building HVAC Systems
International High Performance Buildings Conference, 2024
Ordinal classification with distance regularization for robust brain age prediction
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2024
Conf
Domain-knowledge Inspired Pseudo Supervision (DIPS) for unsupervised image-to-image translation models to support cross-domain classification
Engineering Applications of Artificial Intelligence, 2024/11
2023
Rahman Siddiquee, M.M., Shah, J., Wu, T., Chong, C., Schwedt, T., Dumkrieger, G., Nikolova, S., and Li, B.
Brainomaly: Unsupervised Neurologic Disease Detection Utilizing Unannotated T1- weighted Brain MR Images
In Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision
Rahman Siddiquee, M.M., Shah, J., Wu, T., Chong, C., Schwedt, T. and Li, B.
HealthyGAN: Learning from Unannotated Medical Images to Detect Anomalies Associated with Human Disease.
In International Workshop on Simulation and Synthesis in Medical Imaging
Chen, K., Ghisays, V., Luo, J., Chen, Y., Lee, W., Wu, T., Reiman, E., Su, Y.
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
Alzheimer’s & Dementia: The Journal of the Alzheimer’s Association (accepted).
Li, T., Xu, Y., Wu, T., Charlton, J., Bennett, K., Al-Hindawi, F.
BlobCUT: A Contrastive Learning Method to Support Small Blob Detection in Medical Imaging
Bioengineering
Al-Hindawi, F., Rahman Siddiquee, M.M, Wu, T., Hu, H., Sun, Y.
Domain-knowledge Inspired Pseudo Supervision (DIPS) for Unsupervised Image-to-Image Translation Models to Support Cross Domain Classification
Engineering Applications of Artificial Intelligence
Wang, L., Zheng, Z., Su, Y., Chen, K., Weidman, D., Wu, T., Lo, S., Lure, F., Li, J.
Early Prediction of Progression to Alzheimer’s Disease using Multi-Modality Neuroimages by a Novel Ordinal Learning Model ADPacer
IISE Transactions on Healthcare Systems Engineering
Charlton, J., Li, T., Wu, T., DeRonde, K., Xu, Y., Baldelomar, E.J., Bennett, K.
Use of novel structural features to identify urinary biomarkers during acute kidney injury that predict progression
to chronic kidney disease
BMC Nephrology
Zheng, Z., Su, Y., Chen, K., Weidman, D., Wu, T., Lo, S., Lure, F. & Li, J.
Uncertainty-driven modality selection for data-efficient prediction of Alzheimer’s Disease
IISE Transactions on Healthcare Systems Engineering
Zheng, R., Sun, S., Liu, H., Wu, T.,
Deep Neural Networks-Enabled Vehicle Detection Using High-Resolution Automotive Radar Imaging
IEEE Transactions on Aerospace and Electronic Systems
Al-Hindawi, F., Soori, T., Hu, H., Rahman Siddiquee, Yoon, H., Wu, T., Sun, Y.
A Framework for Generalizing Critical Heat Flux Detection Models Using Unsupervised Image-to-Image Translation
Expert Systems with Applications
Mao, L., Li, J., Schwedt, T., Berisha, V., Nikjou, D., Wu, T., Dumkrieger, G., Ross, K., Chong, C.
Questionnaire and Structural Imaging Data Accurately Predict Headache Improvement in Patients with Acute Post-traumatic Headache Attributed to Mild Traumatic Brain Injuries: a Machine Learning Study
Cephalalgia
Ishrak, M.S., Cai, F., Islam, S.M., Boric-Lubecke, O., Wu, T., Lubecke, V.
Doppler Radar Remote Sensing of Respiratory Function
Frontier in Physiology
Cai, F., Patharkar, A., Wu, T., Lure, F., Chen, H., Chen, V.
STRIDE: Systematic Radar Intelligence Analysis for Dementia Risk Evaluation with Gait Signature Simulation and Deep Learning
IEEE Sensors Journal
Li, G., Ren, L., Fu, Y., Yang, Z., Adetola, V., Wen, J., Zhu, Q., Wu, T., Candan, S., O’Neill, Z.
A Critical Review of Cyber-Physical Security for Building Automation Systems
Annual Reviews in Control
Shah, J., Rahman Siddiquee, M, Krell-Roesch, J., Syrjanen, J.A., Kremers, W.K., Vassilaki, M., Forzani, E., Wu, T, Geda, Y. Neuropsychiatric symptoms and commonly used biomarkers of Alzheimer’s disease: A literature review from a machine Learning perspective
Journal of Alzheimer’s Disease
Chong, C., Nikolova, S., Dumkrieger, G., Wu, T., Berisha, V., Li, J., Ross, K., Schwedt, T.
Thalamic subfield iron accumulation after acute mild traumatic injury as a marker of future post-traumatic headache intensity
The Journal of Head and Face Pain
Yang, J., Wang, S., Wu, T.
Maximum mutual information for feature extraction from graph- structured data: Application to Alzheimer’s disease classification
Applied Intelligence
2022
Pradhan, O., Hälleberg, D., Chen, Z., Wen, J., Wu, T., Candan, KS., O’Neill, Z.
Lagged-kNN Based Data Imputation Approach for Multi-Stream Building
5th Herrick Conferences
Nikolova, S., Schwedt, T., Li, J., Wu, T., Dumkrieger, G., Ross, K., Berisha, V., Chong, C.
T2* reduction in patients with acute post-traumatic headache
Cephalalgia
Nikolova, S., Chong, C., Dumkrieger, G., Li, J., Wu, T., Schwedt, T.
Longitudinal Differences in Iron Deposition in Periaqueductal Gray Matter and Anterior Cingulate Cortex are Associated with Response to Erenumab in Migraine
Cephalalgia
Schwedt, J., Nikolova, S., Dumkrieger, G., Li, J., Wu, T., Chong, C.
Longitudinal Changes in Functional Connectivity and Pain-Induced Brain Activations in Patients with Migraine: A Functional MRI Study Pre- and Post- Treatment with Erenumab
The Journal of Headache and Pain
Chen, Y., Wen, J., Pradhan, O., Lo, J., Wu, T.
Using Discrete Bayesian Networks for Diagnosing and Isolating Cross-level Faults in HVAC Systems
Applied Energy
Rahman Siddiquee, M., Shah, J., Chong, C., Nikolova, S., Dumkrieger, G., Li, B., Wu, T., Schwedt, T.
Headache Classification and Automatic Biomarker Extraction from Structural MRIs using Deep Learning
Brain Communications
Huang, J., Yoon, H., Wu, T., Candan, K.S., Pradhan, O., Wen, J., O’Neill, Z.
Eigen-Entropy: A Metric on Multi-variate Sampling Decision
Information Sciences
Xu, Y., Wu, T., Charlton, J., Bennett, K.
GAN Training Acceleration Using Fréchet Descriptor- Based Coreset
Applied Sciences
Huang, J., Yoon, H., Pradhan, O., Wu, T., Wen, J., O’Neill, Z., Candan, K.S.
A Cosine-based Correlation Information Entropy Approach for Building Automatic Fault Detection Baseline Construction
Science and Technology for the Built Environment
Huang, J., Wen, J., Yoon, H., Pradhan, O., Wu, T., O’Neill, Z., Candan, K.S.
Real vs. Simulated: questions on the capability of simulated datasets on building fault detection for energy efficiency from a data driven perspective
Energy and Buildings