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Saeed Shurrab completed an MSc in Data Science and Artificial Intelligence at Jordan University of Science and Technology with the German Academic Exchange Scholarship (DAAD). He graduated in 2022 with Distinction. Prior to that, he completed a BSc in Industrial and Systems Engineering from the Islamic University of Gaza - Palestine in 2014. His keen interest in data analytics and beliefs in the role that data can play in creating robust decisions and better solutions encouraged him to join the field of data science. Currently, Saeed focuses on developing deep neural networks and their applications to healthcare problems.

Research Assistant - Clinical AI Lab - New York University Abu Dhabi.

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https://saeedshurrab.github.io/

1. Self-supervised learning methods and applications in medical imaging analysis: a survey
2. Attitudes Evaluation Toward COVID-19 Pandemic: An Application of Twitter Sentiment Analysis and Latent Dirichlet Allocation