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Hannah Norman

Masters Student
Stanford University
hnorman (at) stanford (dot) edu


About Me

I am a Computer Science Masters student at Stanford University, where I’m pursuing an MSCS with a specialization in Visual Computing, which sits at the intersection of AI/ML, graphics, and systems. My interests lie specifically in Computer Graphics and Geometric Computing, and in developing tools to empower creativity.

Updates

Projects

  1. CS348K
    I enhanced a software library and its accompanying application, HalfPipe, to improve the visualization and simulation of dynamic deformations on shell structures.
    June 2024

  2. CS231N
    We utilized 3D Gaussian Splatting to enable real-time photorealistic mesh extraction from mobile-captured data, addressing the computational limits of Neural Radiance Fields.
    June 2024

  3. CS131
    We leveraged Sentinel-2 satellite imagery and a Random Forest model to identify pineapple plantations in Costa Rica, filling gaps in agricultural land-use data from 2020 to 2023.
    Mar 2024

  4. CS248A
    We implemented shaders with Phong illumination, normal mapping, environment lighting, and shadow mapping, plus a pixelation filter and stylized toon shading.
    Mar 2024

  5. CS148
    I recreated a scene from the videogame Stray in Blender, modeling almost every piece of geometry from scratch and designing all textures on my own, too.
    Dec 2023

  6. CS248B
    I designed and simulated a Pac-Man themed pinball game in Open Processing, using 2D shape primitives and SDFs to handle collisions with static and moving obstacles.
    Oct 2023

Relevant Coursework

Graphics / Systems

(CS148) Introduction to Computer Graphics and Imaging
(CS149) Parallel Computing
(CS248A) Computer Graphics: Rendering, Geometry, and Image Manipulation
(CS248B) Fundamentals of Computer Graphics: Animation and Simulation
(CS348K) Visual Computing Systems
(CS468) Topics in Geometric Computing: 3D and 4D Foundation Models

AI / Machine Learning

(CS131) Computer Vision: Foundations and Applications
(CS205L) Continuous Mathematical Methods with an Emphasis on Machine Learning
(CS221) Artificial Intelligence: Principles and Techniques
(CS224N) Natural Language Processing with Deep Learning
(CS231N) Deep Learning for Computer Vision
(CS528) Machine Learning Systems Seminar
(ENGR319) Robotics and Autonomous Systems Seminar


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