Xiao Hu

Xiao Hu

PhD
Professor, tenured, Asa Griggs Candler Professor and Associate Director of the Center for Data Sciences

About

Dr. Xiao Hu is a Professor at the Nell Hodgson Woodruff School of Nursing, an associated professor at department of Computer Sciences at College of Arts and Sciences and a program faculty member of the joint GA Tech and Emory Biomedical Engineering department. Dr. Hu is also the Associate Director of the Center for Data Science. Dr. Hu earned bachelor’s and master’s of science degrees in biomedical engineering at the University of Electronic Science and Technology in Chengdu, China. He then studied at UCLA, receiving a PhD in biomedical engineering in 2004. Before joining Emory, he held faculty positions at UCLA, UCSF, and Duke University.

Hu conducts research at the intersection of computational and health sciences where he develops signal processing, mathematical modeling, machine learning, and deep learning algorithms to transform physiological and clinical data into actionable information for improving patient care. Through his research, Hu has created knowledge advancing the relationship among clinicians, scientists, engineers, innovators, policy makers, and healthcare administrators.

Hu is the current editor-in-chief for Physiological Measurement and an associate editor of an inaugural Taylor and Francis journal, Brain-Apparatus Communication: A Journal of Bacomics. He has over 220 peer-reviewed journal publications. Hu has been a principal investigator on seven NIH R01, three NIH R21 research projects, and several industrial grants. He is a multiple PI for the CHoRUS project under NIH’s Bridge2AI program Additionally, Hu holds nine US patents.

Areas of Expertise

Acute And Chronic Care
Cancer
Cardiovascular Health
Caregiver Well-Being
Child and Adolescent Health
Data Science
Gerontology and Elder Health
Methods
Neurocognitive/Neuroscience

Publications

  1. Zhao A, Fattahi D, Hu X. Physics-informed neural networks for physiological signal processing and modeling: a narrative review. Physiol Meas. 2025;46(7). Epub 20250730. PubMed PMID: 40680769; PMCID: PMC12308510.
  2. Zhang Z, Hasan S, Sadan O, Rosenthal ES, Pu Y, Wen Z, Fang C, Liu X, Duan W, Liu L, Xiao R, Hu X. Contralateral Neurovascular Coupling in Patients with Ischemic Stroke After Endovascular Thrombectomy. Neurocrit Care. 2025;42(3):996-1006. Epub 20250107. PubMed PMID: 39776343; PMCID: PMC12137508.
  3. Zhang H, Chen W-J, Chao Y-G, Su N, Robba C, Czosnyka M, Smielewski P, Czosnyka Z, He W, Hu X. Neurogenic organ dysfunction syndrome after acute brain injury. Military Medical Research. 2025;12(1):77.
  4. Yuan Y, Van Duyn J, Yan R, Huang Z, Vesal S, Plis S, Hu X, Kwak GH, Xiao R, Fedorov A. Learning ECG Representations via Poly-Window Contrastive Learning.  2025 IEEE EMBS International Conference on Biomedical and Health Informatics (BHI); 2025: IEEE. p. 1-7.
  5. Yan R, Luo H, Lu J, Liu D, Posluszny H, Dhaliwal MP, MacLeod J, Qin Y, Yang C, Hartman TJ. DietAI24 as a framework for comprehensive nutrition estimation using multimodal large language models. Communications Medicine. 2025;5(1):458.
  6. Xie Y, Han X, Xu R, Hu X, Lu J, Yang C. HypKG: Hypergraph-Based Knowledge Graph Contextualization for Precision Healthcare.  International Semantic Web Conference; 2025: Springer. p. 328-48.
  7. Xie Y, Cui H, Zhang Z, Lu J, Shu K, Nahab F, Hu X, Yang C. Kerap: A knowledge-enhanced reasoning approach for accurate zero-shot diagnosis prediction using multi-agent llms. arXiv preprint arXiv:250702773. 2025.
  8. Wongsripuemtet P, Ohnuma T, Minic Z, Vavilala MS, Miller JB, Laskowitz DT, Meurer WJ, Hu X, Korley FK, Sheng H. Early Autonomic Dysfunction in Traumatic Brain Injury: An Article Review on the Impact on Multiple Organ Dysfunction. Journal of Clinical Medicine. 2025;14(2):557.
  9. Wang Z, Yan R, Francis S, Diaz C, Flickinger T, Lin Y, Hu X, Barnes LE, LeBaron V. Stakeholder-centric participation in large language models enhanced health systems. Npj Health Syst. 2025;2(1):22. Epub 20250618. PubMed PMID: 40547255; PMCID: PMC12176632.
  10. Sun Y, Si X, He R, Hu X, Smielewski P, Wang W, Tong X, Yue W, Pang M, Zhang K, Song X, Ming D, Liu X. An Automated Classifier of Harmful Brain Activities for Clinical Usage Based on a Vision-Inspired Pre-trained Framework. NPJ Digit Med. 2025;8(1):768. Epub 20251218. PubMed PMID: 41413226; PMCID: PMC12715239.
  11. Rozo A, Hasan S, Zhang Z, Iorio C, Varon C, Hu X. Exploring neurovascular coupling in stroke patients: insights on linear and nonlinear dynamics using transfer entropy. J Neural Eng. 2025;22(3). Epub 20250508. PubMed PMID: 40245900.
  12. Radakovich N, Prasad P, Escobar D, Jariwala R, Bond A, Oreper S, Lee J, Hu X, Doernberg S. A machine learning model to predict optimal antibiotic use in hospital medicine patients. Antimicrob Steward Healthc Epidemiol. 2025;5(1):e238. Epub 20250929. PubMed PMID: 41079949; PMCID: PMC12509151.
  13. Mohagheghian F, Jiang S, Connolly MJ, Sproule ED, Gross RE, Hu X, Devergnas A. Automated classification of seizure onset pattern using intracranial electroencephalogram signal of non-human primates. Physiol Meas. 2025;46(5). Epub 20250610. PubMed PMID: 40378864.
  14. Manyam R, Lou P, Shen HJ, Liu Z, Zhang Y, Hu X, Keeling WB. Interpretable artificial intelligence to predict preoperative risk factors for failure to rescue after coronary artery bypass grafting. J Thorac Cardiovasc Surg. 2025. Epub 20250930. PubMed PMID: 41038441.
  15. Lu J, Xiao R, Hu X, Do DH. Artificial intelligence in cardiac telemetry. Heart. 2025.
  16. Lu J, Brown SR, Liu S, Zhao S, Dong K, Bold D, Fundora M, Aljiffry A, Fedorov A, Grunwell J, Hu X. Early Risk Prediction of Pediatric Cardiac Arrest from Electronic Health Records via Multimodal Fused Transformer. Annu Int Conf IEEE Eng Med Biol Soc. 2025;2025:1-7. PubMed PMID: 41336090.
  17. Liu D, Lin Y, Yan R, Wang Z, Bold D, Hu X. Leveraging Artificial Intelligence for Digital Symptom Management in Oncology: The Development of CRCWeb. JMIR Cancer. 2025;11:e68516. Epub 20250616. PubMed PMID: 40523210; PMCID: PMC12185034.
  18. Liu D, Hu X, Xiao C, Bai J, Barandouzi ZA, Lee S, Webster C, Brock L-U, Lee L, Bold D. Evaluation of large language models in tailoring educational content for cancer survivors and their caregivers: quality analysis. JMIR cancer. 2025;11:e67914.
  19. Kataria S, Xiao R, Ruchti T, Clark M, Lu J, Lee RJ, Grunwell J, Hu X. Continuous Cardiac Arrest Prediction in ICU using PPG Foundation Model. Annu Int Conf IEEE Eng Med Biol Soc. 2025;2025:1-6. PubMed PMID: 41337334.
  20. Gupta P, Zhang Z, Song M, Michalowski M, Hu X, Stiglic G, Topaz M. Rapid review: Growing usage of Multimodal Large Language Models in healthcare. J Biomed Inform. 2025;169:104875. Epub 20250805. PubMed PMID: 40754135.
  21. Gupta A, Pires PW, Billinger SA, Carmichael ST, Cortes CJ, Daneman R, Hu X, Kaufer D, Levendovszky SR, Sorond FA. From dark horse to front-runner: vascular contributions to brain health: Proceedings of the 2022 annual workshop of the Albert research institute for white matter and cognition. GeroScience. 2025;47(5):6191-201.
  22. Guo Z, Ding C, Do D, Shah A, Lee RJ, Hu X, Rudin C. Improving atrial fibrillation detection using a shared latent space for ECG and PPG signals. Harvard Data Science Review. 2025;7(1).
  23. Frigieri G, Brasil S, Cardim D, Czosnyka M, Ferreira M, Paiva WS, Hu X. Machine learning approach for noninvasive intracranial pressure estimation using pulsatile cranial expansion waveforms. npj Digital Medicine. 2025;8(1):57.
  24. Chen Z, Ding C, Kataria S, Yan R, Wang M, Lee R, Hu X. GPT-PPG: a GPT-based foundation model for photoplethysmography signals. Physiol Meas. 2025;46(5). Epub 20250610. PubMed PMID: 40373792.

Teaching

Research

Awards