Research

Applied computer vision and machine learning research, with a focus on novel data domains and knowledge discovery.

ACTIVE RESEARCH

Card Valuation Matrix

A research framework I'm developing for evaluating trading card game cards across multiple dimensions simultaneously — combining competitive performance, market dynamics, and gameplay characteristics into a unified evaluation methodology. Demonstrated on Disney Lorcana TCG. Builds on a graduate research project I led at GVSU (CIS 635, Knowledge Discovery and Data Mining). Currently being prepared for submission to a peer-reviewed academic venue.

Learn More →

PUBLICATIONS

What Wins vs. What Sells: Knowledge Discovery in Disney Lorcana's Competitive and Collector Markets

GRADUATE RESEARCH — APRIL 2026

Artie Bowman, Mohammad Aziz Boufaied, Kennedy Comstock

A graduate research project I led at GVSU (CIS 635, Knowledge Discovery and Data Mining) examining the divergence between competitive performance and market valuation in collectible card games, using Disney Lorcana TCG as the case study. Applies knowledge discovery techniques to identify systematic differences between cards that win tournaments and cards that hold collector value.

Read paper →