| Team Name | BlocKCUbe |
| Track | Energy, Public |
| Use Case | Decarbonizing aviation operations through optimized routing, Sustainable Aviation Fuel (SAF) integration, and demand forecasting |
| Technology | SAS Visual Analytics, Machine Learning (Python/SAS) |
| Region | AP, South Korea |
| Team lead | Junyeob Jeong |
| Team members |
Dongwook Choi(@dongwook2025) Junyeob Jeong(@AIchemist) Lee Kang Yen(@riveralike) Oh Chang Young(@OhChangYoung) |
| Social media handles | none |
| Is your team interested in participating in an interview? | *Y* |
| Optional: Expand on your technology expertise |
TeamPhoto
Pitch
Jury
Good !!! 👍
Very Good
Thank you
Hello good to see you
Thanks for your attention!
We’ve successfully the SAS Viya Hackathon 2025 as Team BlockCube.
During the hackathon, we focused on the SAF (Sustainable Aviation Fuel) supply chain problem in the aviation sector — not as a single model, but as a SCOR-based decision system that can grow and adapt with real data and policy changes.
We built a pipeline that combines data modeling, API integration, geo-network analysis, and decision logic to explore potential SAF facility locations and policy scenarios.
This completion is just a starting point. We plan to continue this work through system expansion, research publication, and exploring policy-level application.
Thanks to our teammates and to our SAS mentor for their support throughout the process.
https://www.linkedin.com/feed/update/urn:li:activity:7385007673764823040/
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