Summary
Alexander Derieux is a PhD student and Bradley Fellow in Electrical and Computer Engineering at Virginia Tech with a decade of experience bridging academic research and applied space-systems engineering. He spent seven years at the U.S. Naval Research Laboratory designing hardware and software for rocketry, PNT/PTTI, optics, and tactical networking, and now focuses on machine learning and quantum information applications for smart cities and wireless systems. His work synthesizes time-series Transformer models, heterogeneous multi-task learning, and optimization/game-theoretic approaches to real-world sensing and control problems. As a seasoned mentor and course administrator, he also builds tooling to automate educational workflows and integrate with LMS platforms. Unusually, his background pairs hands-on space hardware experience with cutting-edge quantum ML and communications research, enabling cross-disciplinary solutions from sensors to algorithms.
11 years of coding experience
14 years of employment as a software developer
Doctor of Philosophy - PhD, Electrical, Electronics and Communications Engineering, 3.91, Doctor of Philosophy - PhD, Electrical, Electronics and Communications Engineering, 3.91 at Virginia Tech
French, English