Create | Solve | Innovate | Compete
The IEEE Computer Society North America Student Challenge provides a platform for students from all over North America to create innovative solutions to real-world big data problems. For this year’s competition, each student OR team (max. three students) is required to present a solution to a pre-determined problem/issue statement.
Potential Challenges
- Computing infrastructure usage analysis. Analyze traces of usage of production computer clusters to predict certain patterns in unseen data.
- LLM prediction power. Learn how to train an LLM to make accurate predictions.
- Cloud computing workloads. Analyze a production cloud computing workload to predict what future workload patterns will look like.
Winning Teams will present their solutions at IEEE Big Data in Washington, DC, from 15-18 December 2024.
Submissions will be evaluated based on quantitative performance in predicting events in an unseen dataset, an oral presentation given by the teams to a team of international judges, and the novelty of the solution. The three winning teams will be awarded at IEEE Big Data, with expenses paid by the IEEE Computer Society.
Register yourself or your team today and test and showcase your skills against other students from around the world.
Reasons to Participate | Competition Rules | Prizes | Organizing Committee
Reasons to participate
- Showcase your technical skills.
- Exposure in front of an international team of judges
- Compete amongst a community of students with an interest in Computer Science and Engineering.
Key Dates
Registration Open/Phase 1 Kicks Off: 16 September 2024, Deadline to Register, 4 October
Submission Deadline: 21 October 2024
Finalists Notified: 8 November 2024
Finalists Present In Person at IEEE Big Data: 16 December 2024
Winners Announced: 17 December 2024
Organizing Committee
Chair
Lead
Lead
Megha Ben, Siemens
Member
Kwabena Boateng, QuantizedFT
Member
Prasanth Mohan, QuestionPro Workforce
Member
Saptarshi Ghosh, Intel
Member
Preeti Mukherjee, Purdue University
Member
Technical Contributors
- Josh McKerracher, Aryamaan Dhomne, Purdue University
- Xiangliang Zhang, Xiangqi Wang, Yue Huang, University of Notre Dame
- Ashraf Mahgoub, General Motors