CEE 696-005: Deep Learning in Civil and Environmental Engineering and Earth Science

Fall Semester 2020

Final student presentation will be on Dec 15 9:45 - 11:45 AM following the UH final schdule. A zoom link will be announced.

Jupyter notebook submission for reproducible results is encouraged. All the slides/notebooks will be uploaded here.

Fall 2020 student final project:

Presenter	Title (click to view slides)
Abdulrahman Alghamdi	Traffic Signal Recognition
Amr Ghanem	Detection of Concrete crack size using deep learning [notebook]
Harrison Togia	Nearshore Interpolation of Hawaiian Ocean Measures via Neural Network Assessment of Statewide Remote Sensing Data
Jaeho Choi	NDPTC 360 – Detecting Face Mask Use and Social Distancing Compliance in Waikiki
Janet Chan	Crack Detection Using Deep Learning
Jeanalyn Wadsack-Myers	ECG Classification of Normal and Irregular Heartbeats [notebook]
Jonathan Tobin	Deep learning for acoustic UAV detection
Joshua Dyogi	Model Construction of Beam Elements to Analyze Deflective Behavior
Michael Ito	Inverting Solar Spectropolarimetric Observations with Deep Learning
Sushil Khadka	Prediction of temperature in a pavement profile using neural network model
Theodore Uekawa	Predicting wastewater parameters using a neural network trained off synthetically derived data from a generative adversarial network

Fall 2019 student final project:

Presenter	Title
Ahmed Afifi	Forecasting reference evapotranspiration (ETo) using Recurrent Neural Network (RNN) Long Short Term Memory (LSTM) [notebook]
Brytne Okuhata	Predicting hydraulic head levels with machine learning
Christopher Shuler	Investigation of deep neural networks for filling gaps in hydrologic datasets
Jinwen Xu	Transfer learning using MobileNet for rainbow image recognition [notebook]
Joana Rose Castillo	Forecasting Evapotranspiration with RNN-LSTM [notebook]
Kei Manabe	Detection of calls of Minke whales using deep learning [notebook]
Lauren Ward	Using Deep Learning to determine fault locking depths of earthquakes
Madeline McKenna	Using neural networks to identify polar jet blocking in atmospheric reanalysis data
Runze Yuan	Vehicle detection based on UAV video and Transfer Learning
Samuel Kei Takazawa	Explosion detection with noise [notebook]
Terrence J. Corrigan	Case Study Hurricane Harvey: How Neural Networks can help in forcasting rapid intensification in tropical cyclones [notebook]
Trista McKenzie	Using deep learning to understand drivers and dynamics of submarine groundwater discharge off the Kona Coast
Xi Song	Deep Learning solution for strength prediction of steel CHS X-joints
Xiaole Han	Crack detection on stabilized soil samples [notebook]
Young-Ho Seo	Upscaling hydraulic conductivity using CNN [notebook]