Xiao Hu

Xiao Hu

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


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, and a program faculty member at department of Biomedical Informatics at School of Medicine. 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. Most recently. Dr. Hu was an Ann Henshaw Gardiner Distinguished Professor of Nursing at Duke University. At Duke, Dr. Hu taught data analytics and mentored PhD students and junior faculty. He held appointments in the Pratt School of Engineering (Electrical & Computer Engineering/ Biomedical Engineering) and the School of Medicine (Neurology; Biostatistics and Bioinformatics and Surgery). His teams collaborated closely with a variety of partners, including healthcare providers, surgeons, intensivists, cardiologists, the FDA and even NASA. Before teaching at Duke, he held faculty positions at UCLA and UCSF

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 140 peer-reviewed journal publications. Hu has been a principal investigator on five NIH R01, three NIH R21 research projects, and several industrial grants. Additionally, Hu holds nine US patents.

Areas of Expertise

Machine Learning
Biomedical Signal Processing And Modeling


1. Bai Y, Do D, Ding Q, Palacios JA, Shahriari Y, Pelter MM, Boyle N, Fidler R, Hu X. Is the Sequence of SuperAlarm Triggers More Predictive Than Sequence of the Currently Utilized Patient Monitor Alarms? IEEE Trans Biomed Eng. 2017;64(5):1023-32. Epub 20160630. PubMed PMID: 27390164; PMCID: PMC5484640.

2. Bai Y, Do DH, Harris PR, Schindler D, Boyle NG, Drew BJ, Hu X. Integrating monitor alarms with laboratory test results to enhance patient deterioration prediction. J Biomed Inform. 2015;53:81-92. Epub 20140918. PubMed PMID: 25240252.

3. Drew BJ, Harris P, Zegre-Hemsey JK, Mammone T, Schindler D, Salas-Boni R, Bai Y, Tinoco A, Ding Q, Hu X. Insights into the problem of alarm fatigue with physiologic monitor devices: a comprehensive observational study of consecutive intensive care unit patients. PLoS One. 2014;9(10):e110274. Epub 20141022. PubMed PMID: 25338067; PMCID: PMC4206416.

4. Hu X, Nenov V, Bergsneider M, Glenn TC, Vespa P, Martin N. Estimation of hidden state variables of the Intracranial system using constrained nonlinear Kalman filters. IEEE Trans Biomed Eng. 2007;54(4):597-610. PubMed PMID: 17405367.

5. Hu X, Sapo M, Nenov V, Barry T, Kim S, Do DH, Boyle N, Martin N. Predictive combinations of monitor alarms preceding in-hospital code blue events. J Biomed Inform. 2012;45(5):913-21. Epub 20120324. PubMed PMID: 22465785.

6. Hu X, Xu P, Asgari S, Vespa P, Bergsneider M. Forecasting ICP elevation based on prescient changes of intracranial pressure waveform morphology. IEEE Trans Biomed Eng. 2010;57(5):1070-8. PubMed PMID: 20659820; PMCID: PMC2911990.

7. Hu X, Xu P, Scalzo F, Vespa P, Bergsneider M. Morphological clustering and analysis of continuous intracranial pressure. IEEE Trans Biomed Eng. 2009;56(3):696-705. Epub 20081107. PubMed PMID: 19272879; PMCID: PMC2673331.

8. Hu X, Xu P, Wu S, Asgari S, Bergsneider M. A data mining framework for time series estimation. J Biomed Inform. 2010;43(2):190-9. Epub 20091110. PubMed PMID: 19900575; PMCID: PMC2839011.

9. Kim S, Hamilton R, Pineles S, Bergsneider M, Hu X. Noninvasive intracranial hypertension detection utilizing semisupervised learning. IEEE Trans Biomed Eng. 2013;60(4):1126-33. Epub 20121115. PubMed PMID: 23193303; PMCID: PMC3609870.

10. Wang JX, Hu X, Shadden SC. Data-Augmented Modeling of Intracranial Pressure. Ann Biomed Eng. 2019;47(3):714-30. Epub 20190103. PubMed PMID: 30607645; PMCID: PMC7155952.

11. Xiao R, Malekmohammadi M, Pouratian N, Hu X. Characterization of pallidocortical motor network in Parkinson's disease through complex network analysis. J Neural Eng. 2019;16(6):066034. Epub 20191106. PubMed PMID: 31505469; PMCID: PMC7305850.