Dissertation Defense: Weiwei Wang
“Fast Convolution Algorithm For Artificial Intelligence(Ai) Acceleration”
Dept: Electrical & Computer Engineering
Chair: Victor DeBrunner, Ph.D.
Dept: Electrical & Computer Engineering
Chair: Victor DeBrunner, Ph.D.
Researchers at the FAMU-FSU College of Engineering have engineered a practical liquid hydrogen storage and delivery system that brings zero-emission aviation significantly closer to reality. Their innovative design addresses multiple engineering challenges simultaneously, enabling hydrogen to serve as both a clean fuel and an integrated cooling medium for critical power systems in next-generation electric aircraft.
Dept: Electrical & Computer Engineering
Chair: Omar Faruque, Ph.D.
Dept: Electrical & Computer Engineering
Chair: Christian Hubicki, Ph.D.
The aviation industry aims to reduce carbon emissions and fuel use to help protect the planet. Electric planes could play a key role in this effort, but they require systems that are lightweight, reliable, and efficient. Our project addresses this by developing a smaller version of a motor designed for electric planes. Using advanced technology, we aimed to create a compact, powerful, and efficient motor to meet the demands of flight.
We created a low-cost drone simulator with artificial intelligence (AI) to teach K-12 students and drone enthusiasts about drone controls. Drones are often expensive, which makes it hard for schools and hobbyists to access this technology. We aimed to make learning about drone controls, programming and AI fun, easy and affordable, with students as the focus.
We designed and developed a virtual reality (VR) museum to combine technology, education and art in an innovative digital manner. By using artificial intelligence (AI) to create a variety of exhibits, we aimed to make learning fun and accessible for audiences of all ages. The museum explored the future of collaboration between the arts and sciences in the ever-evolving digital world.
We developed a drone-mounted radio frequency sensor to measure and map 3G, 4G and 5G signal strength. This project aimed to provide real-time signal coverage data for telecommunications analysis, emergency response planning and network improvement. We integrated a signal sensor, microcontroller, GPS module and radio transmitter into a weatherproof enclosure. It captured signal strength, linked it to precise location data and transmitted the information to a ground station for live monitoring.
We designed and used encryption methods for audio signals. We applied a variety of modern encryption methods, which utilized different ways to verify users. We ran these on hardware devices such as digital signal processors (DSP), Field-programmable-gate-arrays (FPGA) and microprocessors which offer tools for changing and modifying signals. We aimed to create a system that could encrypt and decrypt a voice file quickly and cheaply. Our project focused on protecting sensitive voice communications, such as military messages, from being intercepted.