Are you up to the challenge?

You’ve seen Rosie, now it’s time to demonstrate your skills in using MSOE’s supercomputer!

MSOE Regent and alumnus Dr. Dwight Diercks is challenging MSOE students to make use of Rosie. If you’re taking your course work to the next level, developing a side project or completing something else notable using Rosie, this is for you! First-time Rosie users are encouraged to enter as well. Create a poster, short paper, or short video presentation on what you did and how you used Rosie.

• What problem did you solve using Rosie?
• Is there a solution you’ve developed with Rosie to improve a process, or answer to a difficult question?

The opportunities are endless! Share your best work for a chance to win amazing prizes. Open to any MSOE student or team of MSOE students.

2025 Rosie Supercomputer Super Challenge Results

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

2025 Finalists

• 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