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I’m Edward Ledwith, a senior at Florida Tech majoring in Aerospace Engineering with a minor in Computational Mathematics . I’m fascinated by how math and physics come together to make complex systems work, especially in flight dynamics and control.
I enjoy challenges that mix creativity with precision; designing an aircraft model in NX, writing control algorithms in MATLAB , or finding a way to make a simulation behave the way the theory predicts. My coursework and projects have strengthened my interest in system modeling and controls, areas where small details make a big difference in performance.
Outside of class, I’ve competed in FIRST Robotics and worked on hands-on aerospace projects that required teamwork, problem solving, and adaptability. I’ve also officiated lacrosse and hockey games, experiences which taught me how to make quick decisions under pressure and stay focused when things move fast.
Right now, I’m continuing to build my technical foundation and looking for opportunities to apply it to real-world engineering problems. Whether it’s research, design, or testing, I’m motivated by the same goal: To understand how things work and how they can work better, especially if there is math involved!
Systems Engineer on Florida Tech’s S.H.I.E.L.D. Capstone Team developing a Counter-UAS which autonomously detects, tracks, and kinetically intercepts unauthorized low-altitude drones; led requirements definition, system architecture, and control system design for detection-to-interception trajectory generation.
Developed and enhanced a MATLAB simulation of a WorldView Legion satellite constellation to model imaging of designated ground targets and data transmission to ground stations. Improved the provided spacecraft control algorithm, reducing satellite settling time from the initial 10-minute baseline.
Developed a 3-DoF Monte Carlo simulation to model the trajectory of a supersonic projectile fired from a cannon. Trained a deep learning model to predict projectile impact location and estimate the projectile’s point of origin.
Developed a spacecraft reaction-wheel control simulation modeling independent failure probabilities across three reaction wheels. Trained a 1D convolutional neural network (CNN) to detect reaction-wheel faults using wheel angular-rate data.
Method of Characteristics - a MATLAB-based analysis of rocket nozzle flow and geometry, developed under classical compressible flow and propulsion assumptions. The project evaluates nozzle expansion behavior, exhaust kinetic energy, and geometric constraints using ideal gas relations and steady, one-dimensional flow theory. See project on Github
Worked collaboratively with a team of four to design and construct a model aircraft using NX and Autodesk Inventor. Through aerodynamic and structural analyses, we optimized performance metrics by nearly 15%, ensuring efficiency and stability in the design. By applying principles of materials science and engineering mechanics, we enhanced the accuracy and feasibility of the aircraft. Additionally, I delivered detailed project presentations and technical reports, earning recognition for their clarity and technical rigor.
Designed, built, and programmed robots for competitions, fostering practical engineering skills and teamwork.
Officiated youth and adult league hockey games, demonstrating responsibility, rule enforcement, and effective communication.
Officiated over 50 lacrosse games, showcasing leadership under pressure, decision-making, and game knowledge.
Expected: 2027