Sally El Hajjar is a former PhD student of the CVPD group at the University of the Basque Country (UPV/EHU), where she earned her doctorate in Computer Science & Engineering (Cum Laude, 2022) under the supervision of Dr. Fadi Dornaika. Her thesis focused on developing graph-based multiview clustering algorithms and their applications.

She is currently a Senior Research Fellow in Machine Learning at The New School University (New York), contributing to the ClimateIQ project — an AI-driven urban climate risk prediction tool funded by Google.org. Her work includes training autoregressive ConvLSTM models for flood and heat prediction on Google Cloud Platform.

Before this, she held a postdoctoral position at the Luxembourg Institute of Socio-Economic Research (LISER), where she worked on urban planning problems using deep learning and multiview segmentation.

Sally’s research interests span machine learning, deep learning, multiview clustering, environmental modeling, and urban systems. She has authored or co-authored multiple publications in top-tier journals such as Information Fusion, Knowledge-Based Systems, and Sustainable Cities and Society, and regularly contributes to international conferences.

She is fluent in English, French, and Arabic, and continues to supervise engineering students and collaborate on international R&D projects.