About

I am an Associate Professor in the Department of Mathematics and Statistics at the University of Central Oklahoma (UCO). With interdisciplinary research interests, I enjoy seeing the beautiful field of mathematics play a valuable role in approaching challenging "real-world" problems. It is even more fun when I can share this experience with students through coursework and/or research projects.

I graduated with my Ph.D. in 2018 from the Department of Computational and Applied Mathematics (now Computational Applied Mathematics & Operations Research) at Rice University where I was advised by Craig Rusin (Baylor College of Medicine) and Beatrice Riviere.

Teaching

University of Central Oklahoma
  • MATH 2153: Bio-Calculus
  • MATH 2313: Calculus I
  • MATH 2323: Calculus II
  • MATH 3103: Differential Equations
  • MATH 4263/5263: Numerical Linear Algebra
  • MATH 4910/5910: Numerical Differential Equations

    • Rice University
  • CAAM 336: Differential Equations in Science and Engineering

    • In May of 2017, I completed the Graduate Certificate in Teaching and Learning through the Center for Teaching Excellence at Rice University.

    Research

    My research interests lie at the intersection of applied math, data science, and biomedical informatics. At UCO, I have the privelage of working with both undergradate and graduate students in carrying out different research projects.

    Classifying an unlabeled ECG beat

    Automated Electrocardiogram Analysis

    With large amounts of patient data being generated at the bedside, automated analysis of electrocardiogram data can offer real-time support for clinicians. Currently, I am working with collaborators at UCO, Texas Children's Hospital, and Baylor College of Medicine in Houston toward performing automated ECG summarization of pediatric cardiology data. This project is funded by the National Library Of Medicine of the National Institutes of Health (Award Number R15LM013938).

    Related publication (published under the name E. P. Hendryx):

    Hendryx, E. P., Rivière, B. M., Sorensen, D. C., & Rusin, C. G. (2018). Finding representative electrocardiogram beat morphologies with CUR. Journal of Biomedical Informatics, 77, 97-110.

    Selecting rows from a matrix of ECG beats

    Class Identification Algorithms

    We have been able to demonstrate that the Discrete Empirical Interpolation Method (DEIM) is a viable method for identifying subsets of data that are representative of the different classes present in the larger data set. While I am particularly interested in the application of these types of methods to medical time series (e.g., ECGs, as described above), these techniques show promise in other areas, and I am generally interested in studying their performance in the broader machine learning context of class identification.

    Related publication:

    Hendryx, E. P., Rivière, B. M., & Rusin, C. G. (2021). An extended DEIM algorithm for subset selection and class identification. Machine Learning, 110(4), 621-650.

    Litter along an Oklahoma stream

    Quantifying Consumer Litter in Local Streams

    Collaborating with Dr. Matthew Parks in the Biology Department at UCO, a number of undergraduate students have performed field work to collect their own data regarding trash accumlation along waterways in the Oklahoma City area. These students have then carried out subsequent analyses, constructing differential equations and/or statistical models. The pilot of this research project was supported by the STLR program at UCO (also collaborating with Dr. Andrew Taylor). In the summer of 2022, additional students participated in a National Research Exprience for Undergraduates Program (NREUP) of the Mathematical Association of America funded by NSF Grant #DMS-1950644.

    Related publication:

    Parks, M. B., Hendryx, E. P., & Taylor, A. T. (2021). The study of stream litter accumulation as a model for cross-disciplinary, transformative, affordable, and scalable undergraduate research experiences in STEM. Interdisciplinary Journal of Environmental and Science Education, 17(3), e2245.

    Contact Info

    Email: ehendryx at uco dot edu
    Phone: (405) 974-5499
    Office: STEM 222

    Department of Mathematics & Statistics
    100 N University Dr - Box 129
    University of Central Oklahoma
    Edmond, Oklahoma 73034