Hau-Tieng Wu

Hau-Tieng Wu
  • Associate Professor of Mathematics
  • Associate Professor of Statistical Science (Joint)
External address: 207 Physics Building, 120 Science Drive, Durham, NC 27708
Internal office address: Box 90320, Durham, NC 27708
Phone: (919) 660-2861

Research Areas and Keywords

Analysis

harmonic analysis, wavelet analysis, time-frequency analysis

Biological Modeling

physiological time series, multimodal time series

Geometry: Differential & Algebraic

spectral geometry

Probability

empirical process, large deviation theory

Signals, Images & Data

machine learning, unsupervised learning, data analysis

Education & Training
  • Ph.D., Princeton University 2011

  • M.D., National Yang Ming University (Taiwan) 2003

Lin, Yu-Ting, et al. “Unexpected sawtooth artifact in beat-to-beat pulse transit time measured from patient monitor data.Plos One, vol. 14, no. 9, Jan. 2019, p. e0221319. Epmc, doi:10.1371/journal.pone.0221319. Full Text

Lin, C. Y., and H. T. Wu. “Embeddings of Riemannian manifolds with finite eigenvector fields of connection Laplacian.” Calculus of Variations and Partial Differential Equations, vol. 57, no. 5, Oct. 2018. Scopus, doi:10.1007/s00526-018-1401-3. Full Text

Escalona-Vargas, Diana, et al. “A Comparison of Five Algorithms for Fetal Magnetocardiography Signal Extraction.Cardiovascular Engineering and Technology, vol. 9, no. 3, Sept. 2018, pp. 483–87. Epmc, doi:10.1007/s13239-018-0351-4. Full Text

Malik, John, et al. “Sleep-wake classification via quantifying heart rate variability by convolutional neural network.Physiological Measurement, vol. 39, no. 8, Aug. 2018, p. 085004. Epmc, doi:10.1088/1361-6579/aad5a9. Full Text

Wu, H. T., et al. “Phenotype-based and self-learning inter-individual sleep apnea screening with a level IV-like monitoring system.” Frontiers in Physiology, vol. 9, no. JUL, July 2018. Scopus, doi:10.3389/fphys.2018.00723. Full Text

Wu, Hau-Tieng, and Yi-Wen Liu. “Analyzing transient-evoked otoacoustic emissions by concentration of frequency and time.The Journal of the Acoustical Society of America, vol. 144, no. 1, July 2018, p. 448. Epmc, doi:10.1121/1.5047749. Full Text

Wu, Hau-Tieng, and Elsayed Z. Soliman. “A new approach for analysis of heart rate variability and QT variability in long-term ECG recording.Biomedical Engineering Online, vol. 17, no. 1, May 2018, p. 54. Epmc, doi:10.1186/s12938-018-0490-8. Full Text

Lin, C. Y., et al. “Wave-Shape Function Analysis: When Cepstrum Meets Time–Frequency Analysis.” Journal of Fourier Analysis and Applications, vol. 24, no. 2, Apr. 2018, pp. 451–505. Scopus, doi:10.1007/s00041-017-9523-0. Full Text

Shen, C., et al. “Non-invasive acquisition of fetal ECG from the maternal xyphoid process: a feasibility study in pregnant sheep and a call for open data sets.Physiological Measurement, vol. 39, no. 3, Mar. 2018, p. 035005. Epmc, doi:10.1088/1361-6579/aaaaa4. Full Text

Frasch, M. G., et al. “Non-invasive biomarkers of fetal brain development reflecting prenatal stress: An integrative multi-scale multi-species perspective on data collection and analysis.” Neuroscience and Biobehavioral Reviews, Jan. 2018. Scopus, doi:10.1016/j.neubiorev.2018.05.026. Full Text Open Access Copy

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