In modern biological science research, a critical issue to success is handling and processing large amounts of data. Bioinformatics emerged in response to this requirement. The new field uses information technology to organize, visual analyze large set of biological information such as DNA sequences and expression from DNA microarrays, structure-function relationships of proteins, etc. The Bioinformatics Group
- Supports end-user access to biological information resources and bioinformatics tools with a focus on visualization, data mining, and data exchange issues;
- Provides consultation and education in using biomedical database and bioinformatics tools; and
- Enhances communication and data sharing among Rhode Island biological researchers.
Machine Learning and Data Mining
The mission of the group is to disseminate information on machine learning and data mining including, but not limited to, algorithms, methodologies, statistical foundations, and new results. We maintain an email list. If you would like to receive notifications about events or meetings regarding this group, please send an email indicating so to hamel@cs.uri.edu.
Behavioral Model of Pedestrian Dynamics
The goal of this project is to develop models to support a prototype similation tool that will permit professionals to analyze the various geometric and human factor elements that influence the ways which pedestrians move in buildings during emergency and non-emergency situations. This is a multidisciplinary project that brings together safety professionals, and researchers (faculty and students). The research expertises are from civil egineering, computer science, industrial and manufacturing engineering, psychology, and social psychology.
The ADVANCE project at the University of Rhode Island is a 5-year program funded by the National Science Foundation designed to improve and enrich the scientific, technology, engineering, and mathematic academic workforce at URI through the increased representation and participation of women faculty. URI ADVANCE is involved in recruitment efforts, faculty development, improving networks of support, and overall climate change, to the ultimate benefit of all faculty at the University of Rhode Island.
Intelligent Transportation Systems
The intent of these multidisciplinary URITC and RIDOT funded projects is to provide new data analysis models and software prototypes for traffic management in Rhode Island. The team is collecting and analyzing traffic data and developing analytical and predictive models for traffic management. At the same the group is developing software designs and prototypes that integrate GIS, Web, and database technology to provide information to the various stake holders (the traveling public, the DOT, safety and crisis management professionals). These projects are also providing good practical and educational experiences to the graduate students who are involved in the work.
Cryptology is the science of coding and decoding secret messages. It 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 on cryptography and a Maple® package for cryptography.
Computer and Digital Forensics
The URI Digital Forensics Center provides services, research, and training in issues involving digital evidence discovery and analysis. We are non-profit and funded in part by the US National Science Foundation. We are also affiliated with the URI Department of Computer Science and the URI Forensic Science Partnership.
Interactive 3D Graphics Partnership
We are a special interest group involved in the research, development, teaching and cross-disciplinary utilization of 3-dimensional modeling, animation, and interactivity. Our core is composed of faculty, staff, and students who gain expertise by means of a series of courses coordinated between the departments of Art and Computer Science. Training of the expert core is furthered by their participation in research projects. The mainstay of our research projects are defined by collaborations with researchers and faculty from other URI departments.
Real-Time Distributed Object Computing
The RTDOC group at the Univeristy of Rhode Island performs research and development of real-time distributed object computing technology. Real-time applications have timing constraints, such as deadlines and/or periods of execution. Examples of distributed real-time systems include military command and control applications, manufacturing control, sensor networks, and telecommunication. We express, enforce, and analyze real-time requirements, by using, adapting, and extending, classic real-time scheduling algorithms, mechanisms, and approaches in the distributed object paradigm.
You may have read or heard about wireless sensor networks or “smart dust” in the popular media. Recent advances in hardware have made it possible to design tiny computers with two key features: sensors that measure environmental properties, and radios that can communicate readings over a wireless network. These computers - often called “motes” - are roughly 1 by 2 inches in size and run on small batteries. Standard sensors include light, temperature, humidity, and barometric pressure sensors, as well as microphones, accelerometers, and magnetometers. Sensors for soil moisture, leaf wetness, wind speed & direction, and a rain gauge may also be available. For communications, each computer has a radio with a broadcast range of approximately 150 feet. The computers autonomously form a wireless network that can report readings to one or more base stations. Our research group has been funded by the National Science Foundation to study real-time data distribution in sensor networks. Our work-in-progress involves developing network algorithms for sensor networks. We are currently implementing medium access control and routing protocols for network-wide dissemination.
