Computational Statistics and Data Analytics Lab
CSDA (Computational Statistics and Data Analytics) is a multidisciplinary student-centered research group, working on research projects in applied statistics, machine learning, deep learning, and AI. The following are the main areas of research (but not limited to):
- Statistical monitoring: statistical methods for system monitoring purposes, including control charts, health monitoring, profile monitoring, IoT monitoring, image monitoring, etc.
- Statistics for AI: AI model compression techniques and optimization: fine-tuning, knowledge distillation, pruning, quantization.
- Uncertainty Quantification: conformal predictors and robust statistics
- Health Analytics: sports medicine/orthopedics, cancer flow cytometry, cancer x metabolic syndromes, predictive modeling and causal inference.
- Education Analytics: AI advising chatbot, RAG systems, LLM, Agents.
CSDA Lab Meetings in Spring 2025
Methods and Technologies
The CSDA Lab is primarily a data analytics group that uses a wide range of statistical and mathematical methods, including:
- Exploratory Statistical Analysis: Principal component analysis (PCA), multiple correspondence analysis (MCA), and more.
- Statistical Modeling: Poisson regression, Negative Binomial regression, Zero-Inflated models, Gamma regression, Mixed models, Time Series, hypothesis testing, Cox models, and more.
- Clustering techniques: k-means, latent class analysis (LCA), and more.
- Classification: SVM, regressions, Random forest, and more.
- Predictive models: RNN, CNN, regression, LSTM, and more.
- Imputation methods: MICE, EM, and more.
- Signal processing: Wavelet analysis, Fourier transforms, multiscale analysis, and more.
- Tools: R, Quarto, Python, SAS, and MATLAB.
Grants and Collaboration
- IHMC and ARL
- Air Force Research Laboratory
- Mayo Clinic
- Andrews Research & Education Foundation
Research Guidelines
Please review the research guidelines.
Joining CSDA Lab
If you are interested in joining, please go to the recruitment page.
News
Nov, 2025Looking for students with a background in statistics and data analysis.
Nov, 2025Dr. Cohen Co-I in All of US research Grant Awarded with PI Dr. Chhabria.
Nov, 2025Dr. Cohen Award for grant awarded from UWF Research Administration.
January 7-10, 2025Michael Carnival presented a talk at JMM conference in Seattle.
August 12, 2024Weekly CSDA Lab Meeting will take place in room 212 on TRs and Fridays.
April 8-9, 2024CSDA Lab had a great presence at UWF Symposium Research 2024.
April 8-9, 2024Daniel Wilson and Joshua Cook presented at the CFGS 2024.
April 8-10, 2024Dylan, Kellie, and Shrishti presented at NCUR 2024.
Feb 27-29, 2024Joshua Cook, MS data science student, ranked first at the CSP 2024 conference poster competition in New Orleans.