Research Areas

Statistical Monitoring and Analytics

  1. Imputation methods impact on the T2 Hotelling Statistic
  2. Monitoring mass spectrometry data
  3. Desing of the Hotelling T2 control chart for IoT data

Mathematics, Statistics, and Applied Machine Learning Projects

  1. Confidence Intervals for Binomial Proportions - Simulation Study
  2. Second Generation of p-values
  3. Latent Class Analysis and Sample Size Determination
  4. Predicting cheery blossom day of the year using LSTM Networks and Regression
  5. Veterans Disability Compensation Recipients in the USA in 2021: A Statistical Analysis
  6. Data Science Education Trends using Social and Scientific Interests Metrics
  7. Load forecasting using regression models

Health and Analytics

  1. Prediction Clinical Trial Enrollment Rates
  2. Statistical Considerations in the Development of a Consensus Statement
  3. Salivary pH vs. Self-Reported Stress vs. Self-Reported Sleep
  4. Classification of mass spectrometry data
  5. Mathematical and Computational Models for Single Neuron and Neural Network Architectures
  6. Leveraging Convolutional Neural Networks (CNN) and machine learning operations (MLOps) for face detection and recognition.

Education and Analytics

  1. Analyzing Through the Decades Teaching Trends in Data Science
  2. Improving Education outcomes using data analytics and AI

Tools

  1. R package developments.
  2. R Shiny Apps

UWF Grant Resources