Arwa Dabbech

Dr. Arwa Dabbech is an Assistant Professor at Heriot-Watt University's School of Engineering & Physical Sciences, affiliated with the Institute of Sensors, Signals & Systems. Her research focuses on radio interferometric imaging, combining machine learning, optimization algorithms, and computational methods to advance astronomical data analysis. Key areas include high-dynamic range imaging, algorithm scalability, and deep neural networks like R2D2 for precision imaging.

Her work emphasizes innovative techniques such as Faceted HyperSARA and parallel processing frameworks, addressing challenges in wideband imaging and large-scale data handling. Collaborations involve advanced telescopes like the VLA and ASKAP, contributing to datasets that validate novel algorithms. Dr. Dabbech’s research bridges theoretical developments with practical applications, enhancing the resolution and accuracy of radio astronomical observations.

Notable projects include R2D2’s application to Cygnus A imaging and uncertainty quantification, demonstrating real-time imaging capabilities. Her contributions span algorithm design, AI integration, and scalable solutions for modern radio interferometry, positioning her at the forefront of computational astrophysics.