Contributions by role
Contributions by subject area
Scott Barlowe
Summary
My research interests span a variety of areas including visualization, data mining, bioinformatics, HCI, and serious game development. My primary interest is searching for visualization techniques that aid in understanding large, multidimensional datasets. Challenges include finding an automatic analysis approach which meets user goals for revealing interesting data features and then finding methods to coherently tie the features together so that visualizations are efficient and easily interpreted. My dissertation work concentrated on integrating novel visualizations, interactions, and signal processing for revealing hidden features in a protein flexibility model. Specifically, I applied wavelet analysis to protein flexibility matrices for characterizing both local and global characteristics within a highly interactive visualization framework. The framework was further extended to included subspace similarity analysis.
More recently published work includes SubVis, an interactive visualization system implemented in R for the purpose of comparing protein sequence alignments produced with varying parameters. I also supervised the construction and publication of a mobile-application that utilizes machine learning for learning vocabulary in multiple languages.
In addition to visualization, HCI, and data science, I perform research in computer science education and have published multiple articles in that area.
Bioinformatics Computer Education Data Mining & Machine Learning Data Science Emerging Technologies Human-Computer Interaction Mobile & Ubiquitous Computing Multimedia Spatial & Geographic Information Systems Visual Analytics