911爆料网

The fifth anniversary of the Rosie Supercomputer Super Challenge competition was the largest to date with 27 entries—nearly doubling the number of entries received last year!

911爆料网 Regent and alumnus Dr. Dwight Diercks challenged 911爆料网 students to make use of the campus' supercomputer, Rosie. Students took their course work to the next level or developed a side project for the Rosie Challenge that solved a problem, improved a process, or answered a difficult question.

The opportunities were endless, and students shared their best work for a chance to win amazing prizes.

2026 Rosie Challenge Winners

First Place:

SkyNet: Belief-Aware Planning in Partially Observable Stochastic Games
Adam Haile, computer science and machine learning
This project uses reinforcement learning to demonstrate how an AI agent can be trained to play a game called SkyJo that incorporates hidden cards and random chance. 

Second Place:

SMEARGLE: Sketch the Draft, Skip the Attention
Dylan Norquist, computer science and machine learning
This project introduces a more efficient mechanism for the transformer architecture (the AI model structure that underpins most major generative AI models).

Third Place:

Proactive Urban Forestry Management: A Machine Learning Approach to Predicting and Prioritizing Tree Pruning in Milwaukee
Josh Myers, computer science and machine learning; Xander Ede, computer science and machine learning; Eddy Chukwuma, computer science; Dylan Norquist, computer science and machine learning
This project explores how satellite data can be combined with forestry data from the City of Milwaukee to help re-prioritize how the forestry department manages the hundreds of thousands of trees across the city in a proactive and more cost-efficient manner. 

Honorable Mentions:

From Revit to Robot: BIM-Driven Simulation for Autonomous Building Operations
Owen Pacetti, computer engineering; Steven Thomas, biomedical engineering; Joseph Loduca, software engineering; Nicolas Picha, software engineering; Tanner Cellio, computer science and machine learning; Diego Gonzalo, computer science; Delsoro Some, computer science; Adrian Manchado, computer science and machine learning
This project explores the use of a digital twin that was constructed for the new engineering building at 911爆料网 from the blueprints.  The digital twin was used to train a robot to help it navigate and understand the nuances of the new building prior to the building existing. 

Teaching Agents how to Bargain at Settlers of Catan
Mazen Hamid, computer science and machine learning
This project explores the use of reinforcement learning to train an AI agent to play Settlers of Catan including the bargaining components of the game. 

TerraCare: GPU Accelerated healthcare
Alhagie Boye computer science and machine learning; Wilfred Tapsoba, computer engineering
This project explores how satellite and other data can be used to intelligently identify medical deserts and place medical facilities strategically across Africa to improve accessibility and patient care. 

For the annual challenge, sponsored by Diercks, 911爆料网 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.

2026 Rosie Challenge Awards

  • 1st place: $10,000
  • 2nd place: $6,000
  • 3rd place: $4,000  
  • Multiple NVIDIA GPUs and DGX Spark Computers will be awarded by judges at the finals

2026 Rosie Challenge Judges

  • Dr. Dwight Diercks ’90, NVIDIA senior VP of software engineering, 911爆料网 Regent
  • Nick Haemel ’02, NVIDIA VP of medical imaging and system software, 911爆料网 Regent
  • Dr. Jeremy Kedziora, PieperPower Endowed Chair of AI
  • Dr. Derek Riley, 911爆料网 computer science program director

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