About Me
I am a graduating senior at Georgia Tech majoring in Computer Science with threads in Intelligence and Modeling & Simulation. My research lies at the intersection of scientific computing, machine learning, and graphics. Feel free to explore my experience, projects, and publications. If you'd like to get in touch, you can contact me here.
Experience
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NASA Ames Research Center
Systems Analysis Research Intern (Summer 2023, Winter 2023, Summer 2024)
Projects
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FontMakerAI
Vector fonts are useful because they are compact, manipulatable, and scale-invariant, leading to their consistent visual fidelity across different softwares and displays. This project consists of a two-stage approach to vector font generation. First, a diffusion model generates a set of images of glyphs. These images are then used by a novel autoregressive neural vectorizer to generate the corresponding vector paths. These paths can be inserted into CFF tables for each glyph, and saved as a font. Here are some example outputs of the neural vectorizer. The left half of each pair is the input glyph image, which is used to autoregressively generate the vector path, which is rasterized into an image (for display), as seen in the right half of each pair.
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PaperBulb
PaperBulb explanation video:
Publications
- Yuan Qiu, Nolan Bridges, Peng Chen. (2024). Derivative-enhanced Deep Operator Network. The Thirty-Eighth Annual Conference on Neural Information Processing Systems.
- Benjamin Margolis, Kenneth Lyons, Joseph A Garcia, Dahlia Pham, Jeffrey V Bowles, Nolan Bridges, Evan Chang. (2024). General Aviation Synthesis Program Advancements With Symbolic Computations, Optimization, and Decoupled Numerical Methods. AIAA AVIATION FORUM AND ASCEND 2024
News
Awards
- Georgia Tech President's Undergraduate Research Award (2024)
- Georgia Tech Faculty Honors (every semester)
Contact
Email: bridges at gatech dot edu
LinkedIn: Nolan Bridges
Google Scholar: Nolan Bridges