my personal projects
Computational Study of Neural Action Potentials Using the Hodgkin-Huxley Model
Investigation and computational study of the Hodgkin-Huxley model of the action potential in neurons. In this project, we explore both steady-state behavior and dynamic responses to various stimuli.
Introducing MyTorch: A Fully Custom, Tailored Deep Learning Framework
Object-oriented deep learning library called "MyTorch". The library has the ability to call functions similarly to the PyTorch library. MyTorch has working loss functions, optimizers (stochastic gradient descent), and forward/backward passes.
Deep Learning Architectures for Real-Time Baseball Pitch Classification: A Comparative Analysis
A comparative study of three deep learning architectures (Two-Stream Network, ConvLSTM, and Balanced CNN) for classifying baseball pitches using video data, with a focus on handling temporal information and class imbalance.
Utilizing Convolutional Neural Networks for Human Eye Ultrasonography Analysis
Developed multi-output CNN to analyze human eye ultrasound images. Goal: to create a model that can accurately determine the vertical and horizontal diameter of the human eye.
Assessing Geothermal Power Plant Suitability with Convolutional Neural Networks
Developed CNN model to detect geothermal favorability locations in the western US utilizing detrended elevation maps.
Forecasting Geothermal Power Plant Feasibility with Neural Networks
Developed NN model to predict geothermal heatflow residuals. The classification model uses a subset of the 27 provided features to classify the residuals into four classes.
Roped Together, a 3D Physics Based Mountain Climbing Game
Physics based mountain climbing game with over 300 players. Winner of the regional Oregon Game Project Challenge.