Research Areas (being updated)

FOCUS 1: Statistical Process Monitoring

1. Imputation methods’ impact on the T2 Hotelling Statistic
2. Monitoring mass spectrometry data and modeling
3. Monitoring IoT streams
4. Design of the Hotelling T2 control chart for IoT data
5. Univariate and Multivariate models
6. Wavelet-based statistics

FOCUS 2: Biomedical and Statistics, Deep Learning, Machine Learning, and AI

1. ACL injuries and isokinetic data
2. ACL reconstruction and MRI data
3. Predictive models for Clinical Trial Enrollment Rates
4. Uncertainty quantification for cancer flow cytometry gating
5. Cancer and Metabolic syndromes: causal inference framework from All of US Research
6. HPV vaccination x Metabolic Syndromes x Mental Health interaction
7. Biomass predictive models for seaturtle

FOCUS 3: Engineering and Statistics, Deep Learning, Machine Learning, and AI

1. LLM and VLM compression models: pruning, knowledge distillation, quantization, and Optimization.
2. 3D point cloud segmentation and classification
3. Chatbot Dev: RAG systems, system chunking, agentic RAG, multi-agents

Students-Led Applied Mathematics Statistics Projects

1. Confidence Intervals for Binomial Proportions
2. Second Generation of p-values
3. Latent Class Analysis and Sample Size Determination
4. Predicting the 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
8. R package developments
9. R Shiny Apps

UWF Grant Resources

• UWF OUR travel
• UWF Alumni Grants
• UWF Opportunities