My project aims to significantly improve debris detection capability to the size range of lethal non-trackable space debris (10 μm – 10 mm) using ground-based instruments to detect non-thermal electromagnetic (NTEM) radiation. With the help of AI/ML models, detecting debris signatures from DSN data can be done automatically and efficiently.
- Science Mentor: Mojtaba Akhavan-Tafti, Climate and Space Sciences and Engineering, College of Engineering
- AI Mentor: Yang Chen, Statistics, LSA
- Research Theme: AI / ML for space debris detection