AI and graph-based systems.
The UWB CSS Intelligent Networks Laboratory is interested in the intersection of network-based AI, biology, and computing. This includes building simulators and simulations of graph-based systems, developing computational solutions for biology, analyzing simulation or experimental data, using knowledge learned from the study of biological systems in engineering, creating related educational tools, and developing all of the infrastructure necessary to do these things and disseminate our results. This means that we have a wide range of opportunities for students to help, from new CSSE/Applied Computing/IMD majors to graduate students searching for a thesis topic. It also means that our work intersects with a number of CSS faculty members' interests, as well as colleagues in other UWB programs and at other campuses. If you're interested, you can begin working in the lab early in your career here at UWB doing general tasks and learning about the specifics of our work, and later start on more ambitious projects. This is an excellent way to build a portfolio of work and to build professional connections with faculty and other students.
Any of these areas could be used for an undergraduate capstone, undergraduate research, or a Masters thesis or project. If you are interested, first read through the project descriptions on this site and then contact Prof. Stiber.