Applied Mathematics

Project Description This project will investigate the unique mathematical properties of maximal-length, Pseudo -Noise (PN) codes generated by a linear feedback shift register, and how these properties can be capitalized on for a new approach to remote sensing. Two optical or microwave/THz transmitters will be used to broadcast mutually-coherent, wideband,...

Project Description This project requires the skills of a motivated student with a CS background to develop a high-performance graphical user interface that allows users to interact with Computational Pattern-Producing Networks. Our lab uses CPPN representations to control the geometry of soft robotic actuators, and investigates the application of automated...

Project Description Imagine having a piece of software that could understand what you wanted a robot to look like without you needing to actually design the robot. This tool would convert your specifications about robot capabilities into a robot physical design. This is the tool that we’re building in the...

Project Description Very Low Frequency (VLF) radio waves can be used to understand the Earth’s ionosphere, a region of energetic charged particles and plasma that forms the boundary between the atmosphere and space proper. Our lab is completing the redesign of our VLF receivers in order to deploy an Array...

Project Description Very Low Frequency (VLF) radio waves can be used to understand the Earth’s ionosphere, a region of energetic charged particles and plasma that forms the boundary between the atmosphere and space proper. Our lab is completing the redesign of our VLF receivers in order to deploy an Array...

Project Description The goal of this project is to improve the performance, capacity, usability, and scalability of SynBioHub, a next-generation repository for managing synthetic biology projects. SynBioHub3 will store designs for engineered biological systems, information about plans and protocols for the construction and experimentation on these designs, the experimental data...

Project Description In this project, the student will participate in the use of machine learning models to predict solar magnetic eruptions (more colloquially known as "solar flares"). Solar flares and associated coronal mass ejections (CMEs) are the main drivers of Earth-impacting space weather events, including ionospheric disturbances, geomagnetic storms, and...

Project Description Wet granular flows involve small, solid particles that are coated with thin liquid layers. They are important in coating processes (such as for controlled-release pharmaceuticals, fertilizers and candy), agglomeration processes (e.g., air filtration) and natural phenomena (e.g., avalanches and mudslides). This project studies the fundamentals of wet granular...

Project Description The Building Legacy in Engineering research project will take an inter-institution approach to create an authentic and scalable inquiry-based, active learning environment focused on sustainable civic innovation. This project is designed to document and validate the approach to be replicated by other university partnerships to strengthen communities. The...

Project Description Helical particles made of a composite polymer material and paramagnetic nanoparticles can be driven to propel by the torque induced from the continuous misalignment of the magnetization of the particles with a rotating magnetic field, thus mimicking the mechanism of bacterial motion through flagella and cilia rotation. While...