Awards

Hackathon Awards

• Best Use of Science, Global Winner (1st/5300+ Teams), 2022 NASA Space Apps Challenge (Dec 2022)
  • Proposed an ML framework that successfully removes the noises from space data (with 77% improvement in R square) and predicts Carrington Events accurately with 95% accuracy.
  • Github link: https://github.com/ton731/nasa-hackathon-whats-new
  • NASA Space Apps Website: https://2022.spaceappschallenge.org/challenges/2022-challenges/carrington-event/teams/whats-new/project
• Honourable Mention, AEC Tech Hackathon (Nov 2022)
  • Proposed GraFix, a graph-neural-network-based framework that fixes misalignments in 2d floor plans with 85% accuracy.
  • Github link: https://github.com/simpleSketche/GraFix
• Champion, Green Computing Team, TSMC x Microsoft Careerhack (Jan 2022)
  • Proposed an ML-based energy usage policy framework which increases 25% energy efficiency in computing centers.