My name is Sasha Petrenko, and I am a Ph.D. of computer engineering and assistant research professor at Missouri S&T in Rolla, MO. I have a background in aerospace engineering, and my current research focus is lifelong machine learning with adaptive resonance algorithms.

Why is your handle @AP6YC?

If you read it like it's in Cyrillic, it spells the word "arboose", which means "watermelon" in Russian.

Why watermelon?

Why not?

Let's fill out the GitHub page template, shall we:

• 🔭 I’m currently working on:
  • Lifelong machine learning, adaptive resonance, and deep learning 📑
• 🌱 I’m currently learning:
  • Ways of tackling catastrophic forgetting 🧠 and French 🥐
• 👯 I’m looking to collaborate on:
  • Open source Julia packages 🧑‍💻 and hot sauce recipes 🌶️
• 🤔 I’m looking for help with:
  • How to live the good life (in the Socratic sense. Any other suggestions are also welcome).
• 💬 Ask me about:
  • Self-organizing neural networks, computer vision, and electronic music production 🎶.
• 📫 How to reach me:
  • [email protected]
• 😄 Pronouns:
  • He/him
• ⚡ Fun fact:
  • I play jazz piano 🎹 and guitar 🎸, and I like cats 🐈 and weight lifting 🏋️

Some of my projects here include:

• Julia packages:
  • AdaptiveResonance.jl: a Julia package for Adaptive Resonance Theory (ART) algorithms.
  • ClusterValidityIndices.jl: a Julia package for incremental and batch cluster validity indices (CVI/ICVI), which are unsupervised metrics for clustering performance.
  • MetaICVI.jl: a Julia package implementing the MetaICVI hybrid unsupervised metric method that I coauthored.
  • NumericalTypeAliases.jl: a Julia package for abstract and concrete type aliases that I often use in my Julia packages and research repos.
  • PyCallJLD2.jl: a Julia package for saving and loading PyCall.PyObjects with JLD2.
  • Rocketeer.jl: a Julia package implementing the Rocket method (that I did not author, just a fan).
• Python packages:
  • cvi: a Python package for incremental and batch cluster validity indices (CVI/ICVI), a complement to my Julia implementation at ClusterValidityIndices.jl.
  • metaicvi: a Python package for the MetaICVI hybrid unsupervised metric method that I coauthored, a complement to my Julia implementation at MetaICVI.jl.
• Research repos:
  • DCCR: a research repository implementing the experiments for my paper Lifelong Context Recognition via Deep Feature Clustering
• Others:
  • dark-future: a collection of original and modified VSCode color themes with a special focus on Python and Julia syntax highlighting.