Student Teams Awarded $1 Million for Work on Hackathon Ideas

Georgia Tech's student team

Four Georgia Tech graduate students won a six-month sponsored project worth $140,000 from Siemens to turn a hackathon idea into a real-world tool for the company. From left to right: civil engineering students Yang Jiang, Emily Sanders and Heng Chi plus computation science and engineering student Yuyu Zhang (Source: Glaucio Paulino, professor, School of Civil and Environmental Engineering)

Student teams at six institutions of higher education are continuing work on innovative tech projects, each funded with a $140,000 sponsorship picked up in a series of FutureMakers Challenge competitions run by Siemens' Corporate Technology division. Since the focus of the challenge is to address market needs, the students also interact with Siemens professional staff to commercialize their ideas. Second- and third-place teams also received prizes.

At the end of each school's competition, Siemens picked a project to fund, enabling the winning teams to continue expanding on their ideas. During the event, entrants worked around the clock for 24 hours to brainstorm ideas, develop one, and code it before presenting it to judges.

At Georgia Tech, for example, a student team will continue development of a computational tool that uses machine learning and topology optimizing to speed digital design and manufacturing. The graduate students — three in civil engineering and one in computational science and engineering — seemed a bit surprised to take the top spot within their institution. Typically, said faculty member Glaucio Paulino, a professor in the School of Civil and Environmental Engineering, in an article about the victory, "civil engineering does not generally win this kind of competition. It's often dominated by [students in] electrical engineering and computer science. For civil engineering to be on the map — I am happy. I am very proud." According to the article, the project involves describing how a proposed design would work, and the tool would "quickly identify the design directions to pursue to create optimized results."

Princeton University's winning team came from the electrical engineering department. The two-member team, Zecheng He and Guangyuan Hu, both Ph.D. students, developed an idea for detecting zero-day controller hijacking in power grid systems. They were advised by Ruby Lee, a professor in their department.

The top team at Rutgers University tackled food productivity. Team members Merrill Edmonds, Yongbin Gong, Fei Liu, David Ezrapour and Stephanie Rossi from the departments of mechanical and aerospace engineering and plant biology came up with a cloud-based autonomous robotic evaluation system for agriculture.

The team at the Massachusetts Institute of Technology focused on artificial intelligence applied to oil well management. Carnegie Mellon University's team came up with an "adaptive and flexible" digital twin assistant for assembly. And students at the University of California, Berkeley developed a hardware-in-the-loop platform for industrial robot learning.

The idea of working closely with Siemens, renowned for its engineering technology and innovation, was attractive to the competitors. As one member of Georgia Tech's winning team noted, "It will allow me to be better connected to the engineering practice and apply my knowledge to real-world problems."

About the Author

Dian Schaffhauser is a former senior contributing editor for 1105 Media's education publications THE Journal, Campus Technology and Spaces4Learning.

Featured

  • Businessman using laptop analyzing data and growth graph chart

    AI Budgets in Education Show No Sign of Decline

    The vast majority of education organizations (98%) expect their AI infrastructure budgets to either increase or hold steady over the next year, according to a recent report from cloud storage provider Wasabi.

  • digital lock with circuit patterns

    IBM Announces New AI-Powered Cybersecurity Tools

    IBM has announced an expanded portfolio of AI-powered cybersecurity products, positioning the company to compete more aggressively in a rapidly evolving market where enterprises are increasingly turning to artificial intelligence to defend against automated cyber threats.

  • closeup of person wearing abstract smart glasses

    Google Unveils Android XR Smart Glasses, Powered by Gemini AI

    More than a decade after the commercial failure of Google Glass, Google is returning to the smart-glasses market, this time betting that advances in artificial intelligence, miniaturized hardware, and conversational computing can turn wearable devices into a mainstream platform.

  • abstract coding

    Anthropic's New AI Model Targets Coding, Enterprise Work

    Anthropic has released Claude Opus 4.6, introducing a million-token context window and automated agent coordination features as the AI company seeks to expand beyond software development into broader enterprise applications.