• IEEE.org
  • IEEE CS Standards
  • Career Center
  • About Us
  • Subscribe to Newsletter

0

IEEE
CS Logo
  • MEMBERSHIP
  • CONFERENCES
  • PUBLICATIONS
  • EDUCATION & CAREER
  • VOLUNTEER
  • ABOUT
  • Join Us
CS Logo

0

IEEE Computer Society Logo
Sign up for our newsletter
IEEE COMPUTER SOCIETY
About UsBoard of GovernorsNewslettersPress RoomIEEE Support CenterContact Us
COMPUTING RESOURCES
Career CenterCourses & CertificationsWebinarsPodcastsTech NewsMembership
BUSINESS SOLUTIONS
Corporate PartnershipsConference Sponsorships & ExhibitsAdvertisingRecruitingDigital Library Institutional Subscriptions
DIGITAL LIBRARY
MagazinesJournalsConference ProceedingsVideo LibraryLibrarian Resources
COMMUNITY RESOURCES
GovernanceConference OrganizersAuthorsChaptersCommunities
POLICIES
PrivacyAccessibility StatementIEEE Nondiscrimination PolicyIEEE Ethics ReportingXML Sitemap

Copyright 2025 IEEE - All rights reserved. A public charity, IEEE is the world’s largest technical professional organization dedicated to advancing technology for the benefit of humanity.

  • Home
  • /Publications
  • /Tech News
  • /Events
  • Home
  • / ...
  • /Tech News
  • /Events

North America Student Challenge 2024

By IEEE Computer Society Team on
September 17, 2024

2024 Global Student Challenge2024 Global Student ChallengeCreate | 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

  1. Computing infrastructure usage analysis. Analyze traces of usage of production computer clusters to predict certain patterns in unseen data.
  2. LLM prediction power. Learn how to train an LLM to make accurate predictions.
  3. 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.

Registration is now closed.

Thank you to our Sponsor, Adobe

Adobe Logo IconAdobe Logo Icon

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.

Competition Rules

The teams may use any resources at their disposal, though credit will be given for the novelty of the solution. Teams may not collaborate with other teams. The software submitted must be runnable in a Jupyter notebook.

Prizes

1st place finisher: US$2,500

First runner-up: US$1,500

Second runner-up: US$500

Special Prize for a team comprised solely of IEEE Computer Society Members.

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


Saurabh Bagchi, Purdue University

Chair

Deborah Silver, Rutgers University

Lead

Joaquim Jorge, University of Lisbon

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

LATEST NEWS
IEEE Uganda Section: Tackling Climate Change and Food Security Through AI and IoT
IEEE Uganda Section: Tackling Climate Change and Food Security Through AI and IoT
Blockchain Service Capability Evaluation (IEEE Std 3230.03-2025)
Blockchain Service Capability Evaluation (IEEE Std 3230.03-2025)
Autonomous Observability: AI Agents That Debug AI
Autonomous Observability: AI Agents That Debug AI
Disaggregating LLM Infrastructure: Solving the Hidden Bottleneck in AI Inference
Disaggregating LLM Infrastructure: Solving the Hidden Bottleneck in AI Inference
Copilot Ergonomics: UI Patterns that Reduce Cognitive Load
Copilot Ergonomics: UI Patterns that Reduce Cognitive Load
Read Next

IEEE Uganda Section: Tackling Climate Change and Food Security Through AI and IoT

Blockchain Service Capability Evaluation (IEEE Std 3230.03-2025)

Autonomous Observability: AI Agents That Debug AI

Disaggregating LLM Infrastructure: Solving the Hidden Bottleneck in AI Inference

Copilot Ergonomics: UI Patterns that Reduce Cognitive Load

The Myth of AI Neutrality in Search Algorithms

Gen AI and LLMs: Rebuilding Trust in a Synthetic Information Age

How AI Is Transforming Fraud Detection in Financial Transactions

FacebookTwitterLinkedInInstagramYoutube
Get the latest news and technology trends for computing professionals with ComputingEdge
Sign up for our newsletter