معرفی
Scarlett Abramson is a Researcher in the Department of Electrical and Electronic Engineering, specializing in signal processing for gravitational astronomy. Her work focuses on advancing methodologies for analyzing gravitational wave data and optimizing communication systems. She supervises thesis research under Prof Robin Adams Close, contributing to interdisciplinary projects at the intersection of astrophysics and engineering.
Key research interests include real-time signal processing, smart wearable devices, and next-generation wireless networks. She is involved in projects such as 'Real-time Internet of Things with Performance Guarantees' and 'Multi-Modal Deep Dictionary Learning Framework for Managing Smart City Assets,' reflecting her expertise in applied signal processing and networked systems.
Scarlett collaborates on initiatives like 'Hypersonic vehicle design' and 'Neuro-Autonomy,' demonstrating her engagement with cutting-edge control systems and autonomy challenges. Her contributions to low-carbon energy systems, such as 'Green Water is Good: Control and Design of Low-Carbon Water Pumping Systems,' highlight her commitment to sustainable engineering solutions.
