Portfolio website: Michael Hopwood

Hello, I am a PhD student at the University of Central Florida studying data science. I have worked on many data science and data analytics projects, all of which are summarized in my CV. Summarized results of select journal papers, conference proceedings, hackathons, and personal projects are located in projects. For a more up-to-date list of my publications, see my google scholar.

Here’s my LinkedIn; let’s connect!

An ongoing goal of mine is to capture some notes from my PhD and other studies. An abridged version of my PhD notes is captured in notes, which will continue to grow as I find time to transcribe them! The notes are a concatenation of lecture notes and online resources. I try to cite resources as often as I can but do not always.

This website was built to be a portfolio for others to see; however, perhaps more importantly, it functions as a platform for me to keep track of previous projects and my ongoing notes.

Content:

• Projects
  • Exploring a link between network topology and active learning
  • An assessment of the value of principal component analysis for photovoltaic IV trace classification of physically-induced failures
  • Neural network-based classification of string-level IV curves from physically-induced failures of photovoltaic modules
  • Physics-based method for generating fully synthetic IV curve training datasets for machine learning classification of PV failures
  • pvOps: Improving Operational Assessments through Data Fusion
  • Electric Vehicle Detection
  • Generalized Low-Rank Models for Parking Garage Capacity Modeling
• Notes (Beta)
  • Supervised Learning: An Introduction
  • Discriminant Analysis
  • Hidden Markov Models (HMM)
  • NN Learning
  • Network science
  • Generative Adversarial Networks (GANs)
  • Explainable AI
  • Summaries
  • A/B Tests
  • Attention
  • Common Questions
  • Cross Entropy
  • Regularization
  • Theoretical Statistics
  • Theoretical Statistics Questions
  • Natural Language Processing
  • Graph neural networks at scale
  • Contextual Bandits
  • Neural Network Gaussian Process (NNGP)
• Helpful Resources
  • Cool Papers