The Department of Computer Science and Statistics supports the work of scholars and students who are adept in taking an agile, interdisciplinary approach to solving problems. Because our Department encompasses both computer science and statistics, the areas of research specialization are wide-ranging.
In computer science, they cover the areas of cyber security, digital forensics, machine learning, computer vision, computational biology, algorithms, data science, databases, CS education, gaming, simulation, programming languages, and computer algebra. On the statistics side, these research interests include adaptive statistical methods, sequential statistics, Bayesian optimal experimental designs, statistical decision theory, statistical analysis of networks, multivariate statistical learning, longitudinal modeling, missing data, online-updating big data, survival analysis, computational statistics, latent class modeling, statistical genetics, and space time data analysis.
Interactive 3D Graphics Partnership
A special interest group of faculty, staff, and students, involved in the research, development, teaching, and cross-disciplinary utilization of 3-dimensional modeling, animation, and interactivity. We offer courses coordinated between the Art and Computer Science Departments. Our research projects are defined by interdisciplinary collaboration.
Cryptology, the science of coding and decoding secret messages, is divided into cryptography, which concerns designing cryptosystems, and cryptanalysis, which is concerned with breaking cryptosystems. Our research has resulted in the creation of an educational website and a Maple® package for cryptography.
Computational Statistics and Machine Learning
A group that creates, applies, and improves new techniques for the analysis of data including, algorithmic and statistical techniques, as well as newly merged computational and statistical techniques.
The Accessible and Socially Aware Technologies (ASSET) lab explores the frontiers of research in computer science in our quest to build technologies for marginalized populations. The lab works in a multidisciplinary space at the intersection of accessibility, human-computer interaction, and applied machine learning, often taking inspiration from ideas, theories, and methodologies from the humanities and social sciences to understand and address technical problems.
For books, journal and conference papers, please see the individual faculty pages.
Many faculty members in the Department of Computer Science and Statistics work on substantial research projects with undergraduate students. The undergraduate research page provides a sample of the types of projects of current undergraduate research.undergraduate research
- Timothy Colaneri - Can you tell us a little bit about your background, other interests, hobbies, etc? I am a lifelong resident of Newport, RI and commute to campus. I am a non-traditional student born in 1985. I transferred to URI after having finished the AS computer science program at CCRI. Inside of academics, my interests lie in […]