I am interested in studying techniques to reveal gerrymandering. I am also interested in computational fluid dynamics and high performance computing.
Pryia Juarez (BME/ECE), Jonathan Pilland (ECE/BME), and Matthew Traum (CS/Econ) spent teen weeks analyzing sensor data synthesized by an agile waveform generator. The team used deep reinforcement learning techniques to understand the performance of different synthetic agents representing potential attackers to the sensor system.
View the team's project poster here
Watch the team's final presentation on Zoom:
Faculty leads: Robert Calderbank, Vahid Tarokh, Ali Pezeshki
Client leads: Dr. Lauren Huie, Dr. Elizabeth Bentley, Dr. Zola Donovan, Dr. Ashley Prater-Bennette, Dr. Erin Trip
Project Manger: Suya Wu
Stats/Sociology major Mitchelle Mojekwu joined Neuroscience majors Kassie Hamilton and Zineb Jaidi in a ten-week exploration of data relevant to an upcoming public school zone redistricting in Durham County. Using information acquired from the General Social Survey and the US Census, the team applied modern mathematical and statistical methods for generating proposed redistricting plans, with the aim of providing decision-makers with information they can use to produce school districts that are equitable and reflective of the Durham County student population.
View the team's project poster here
Watch the team's final presentation on Zoom:
Faculty Lead: Greg Herschlag
Project Manager: Bernard Coles
