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arxiv code search
2022Searching through arxiv papers (with ML) to see if they include the code and data to reproduce the work. Active research.
Machine Learning Research Reproducibility
Projects
Always building. Always learning. Here are some of the projects I have been working on:
Featured Projects
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External knowledge can enhance machine learning. We use knowledge from reliability engineering and integrate it into a machine learner through the use of a Weibull-based loss function. Demonstrated on bearing remaining-useful-life prediction.
Machine Learning Reliability Engineering RUL Published
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Anomaly detection on the UC Berkeley milling data set using a disentangled-variational-autoencoder (β-VAE). Published in the International Journal of Hydromechatronics.
VAE Anomaly Detection Manufacturing Published
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PyPHM
2022Machinery data, made easy. Open-source Python package to easily download and prepare common PHM (prognostics and health management) datasets. Use PyPHM before feature engineering or model training.
Python Open Source PHM Data Science
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Surrogate Modeling of Time Series with GANs
2022Using generative adversarial networks (GANs) for modeling of time series. Applied to applications in manufacturing systems. Active research.
GANs Time Series Manufacturing Research
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Developing scalable ETL/ML pipeline for rapid testing of feature engineering and machine learning techniques. For use on industrial time series data. Leverages HPC or cloud infrastructure.
MLOps Time Series HPC Pipeline
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CDC Birth Data
2021Personal project exploring the CDC birth data files from 1968 to 2020. Developed for HPC and local compute.
Data Analysis Public Health HPC
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Beautiful Plots
2020A collection of beautiful plots and other data visualization explorations.
Data Visualization Python Matplotlib
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New to Compute Canada and high performance computing? Here are some tutorials to get you started.
HPC Tutorial Education
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Feature Engineering in Tool Wear Monitoring
2020Demonstrating feature engineering and classical machine learning for use on tool wear monitoring. Applied to industrial partner's manufacturing environment. Discussed in thesis, "Feature Engineering and End-to-End Deep Learning in Tool Wear Monitoring".
Feature Engineering Manufacturing Machine Learning Thesis
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Talk on real-world anomaly detection methods within health care, astronomy, finance, and manufacturing. Presented at Pycon Canada 2019.
Anomaly Detection Conference Talk PyCon
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AI in Public Health
2019Presentation on AI within the public health domain. Talk given to medical residents and MOH's at KFL&A Public Health.
AI Public Health Presentation
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Final project for Deep Learning course (CISC-867). Used a convolutional autoencoder to detect faults in medium voltage power lines. Received an A+ in the course!
Deep Learning Autoencoder Power Systems