Machine-Learning Channel Estimation for 6G Networks
As a lead contributor on my capstone team, I helped design and validate a machine-learning system that improves wireless channel estimation for future 6G-style networks. Working with a realistic MATLAB/Python urban simulation, our team demonstrated that ML can outperform classical Least Squares methods in accuracy and efficiency, reducing pilot overhead while strengthening device-to-device communication performance. This project showcases our innovative approach to merging communication theory with modern data-driven engineering.
SkyBridge: Advancing Space Laser Communications
As the Principal Investigator for a NASA workforce development project. Our goal was to revolutionize space communications through the development of a high-speed, laser-based communication system to surpass the limitations of traditional radio frequency methods. The proposed design aimed to enable robust and efficient data transfer between Earth and space vessels, dramatically increasing data rates while reducing power consumption. This innovative project not only showcased our team's commitment to advancing space technology but also my leadership in steering a multidisciplinary team towards a groundbreaking solution for interplanetary communication.