Research Interests:
- Machine learning/data mining
- Nonparametric inference
- Distribution-free methods for hypothesis testing
- Longitudinal and functional data analysis
- Methods for high-dimensional data analysis and their application in genomics, lipidomics, or proteinomics data
- Rank tests for experimental designs
- Image analysis
Research Interests:
- Image analysis and predictive modeling for text data (NLP)
- Data mining, machine learning, and artificial intelligence
- Nonparametric methods for design and analysis
- Longitudinal and functional data analysis
- High dimensional data analysis with applications
- Rank tests for experimental designs
- Bioinformatics, genomics, and high throughput data analysis
These publications spread across the following six different areas:
- Variable selection and modeling for high dimensional data
- Digital image quality assessment and image pixel classification and segmentation.
- Inference based on original observations for hypothesis testing.
- Rank based inference for high dimensional data.
- Rank-Test-based clustering for high dimensional data.
- Machine learning/data mining methods
