The 2025 Rosie Supercomputer Super Challenge finalists have been chosen! Five projects out of 15 submissions were chosen as finalists. All entries will be displayed during a poster session from 4 to 5 p.m. on Wednesday, April 23, during AI Week at MSOE in Diercks Hall. After, finalists will present their projects in front of a team of judges from 5 to 6:30 p.m. The event is free and open to the public.

Finalists (presented in order of project submission):

• Enhancing Collaboration in Multi-Agent Environments with Attention-Based Actor-Critic Policies
  Hugo Garrido-Lestache, computer science
• Machine Learning-Assisted Vocal Cord Ultrasound Examination: Project VIPR
  Will Sebelik-Lassiter, biomedical engineering; Evan Schubert, computer science; Muhammad Alliyu, computer science/machine learning; Quentin Robbins, computer science; Excel Olatunji, computer science; Mustafa Barry, biomedical engineering
• Applications of Reinforcement Learning in Competitive Robotics
  Andrew Needham, computer science; Evan Roegner, computer science; Joseph Beattie, computer science; Andy Dao, software engineering; Leigh Goetsch, computer science/machine learning
• A Novel AI-Driven Approach to Foreign Language Acquisition
  Lucas Gral, Preston Whitcomb
• AI-Driven Soccer Analysis Using Computer Vision
  Tanner Cellio, computer science; Adrian Manchado, computer science

For the annual challenge, MSOE students demonstrate how they’ve used Rosie the supercomputer to solve a problem, improve a process or answer a difficult question during the Rosie Supercomputer Super Challenge. Judging takes place by: 

• Dr. Dwight Diercks ’90, NVIDIA senior VP of software engineering, MSOE Regent
• Nick Haemel ’02, NVIDIA VP of medical imaging and system software, MSOE Regent
• Dr. Jeremy Kedziora, PieperPower Endowed Chair of AI
• Dr. Derek Riley, MSOE computer science program director