Student Research Opportunities.

The UWB CSS Intelligent Networks Laboratory works at the intersection of network-based AI, biology, and computing. Our research focuses on building high-performance simulators for graph-based systems, analyzing complex simulation and experimental data, and applying biological principles to engineering challenges.

We offer a wide range of research opportunities for students at all levels, from new undergraduates to graduate students seeking thesis topics. Joining the lab early in your UWB career allows you to build a strong foundation before advancing to more ambitious research projects. This is an excellent way to build a compelling portfolio and forge professional connections with faculty and peers across disciplines.

Open Projects.

• Computational neuroscience research: Simulate nervous system development and learning, and analyze complex network behavior and architecture.
• Network science research: Investigate the evolution of network structures and analyze fundamental network properties through advanced simulation.
• Core simulator software development: Enhance core capabilities, optimize CPU and GPU performance, and modernize the underlying codebase.
• Simulator software engineering: Advance the system architecture and elevate software development process maturity.
• Data analysis and visualization tools: Develop solutions to analyze and visualize the behavior of massive graphs (up to millions of edges) over extended time periods.
• Educational tools: Build applications and resources to support courses teaching lab-related topics.

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.