My research focuses on compressed sensing, machine learning, signal processing, and the interaction between mathematics, computer science and software engineering. My interests range from theoretical results to algorithms for tackling practical applied problems, and I enjoy problems most when mathematical results lead to efficient software implementations for big data. I am looking forward to working with students at all levels and backgrounds who share an interest in mathematics, software, or data. Some problems that have captured my interest include network analysis for cyber defense, and signal processing and inference for arrays of chemical sensors. In my spare time I enjoy fencing, hiking, skiing, tennis, computer games, and spending time with my family!
WBZ radio interviewed Randy Paffenroth, associate professor of mathematical sciences, computer science, and data science, on his work to make NASA spacecraft lighter and more damage tolerant. “Any mission that NASA wants to do, they have to build spacecraft out of materials, and they want those materials to be stronger, to improve the safety of the spacecraft,” Paffenroth told WBZ. WPI, he said, helps make the materials even better.
WPI professors Alexander Wyglinski and Randy Paffenroth discuss how WPI is using the International Space Station as a testbed for space communications.