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Sara Al-Emadi has work experience in various roles and companies. Sara started their career in 2018 as a Part-time Research Assistant at Qatar University, where they worked until 2020. In 2018, they also joined Qatar Petroleum, first as a Network Infrastructure Engineer - Systems Engineer (Dev), and later took on the role of Senior IT Engineer (ICT Strategy and Enterprise Architecture) from 2019 to 2020. Most recently, in 2021, Sara joined the Qatar Computing Research Institute as a Research Associate.

Sara Al-Emadi's education history begins with their enrollment in Hamad Bin Khalifa University in 2021, where they pursued a Doctor of Philosophy (PhD) degree in Computer Science and Engineering. This program is expected to continue until 2024.

Prior to their doctoral studies, Sara obtained a Bachelor of Science (BS) degree in Computer Engineering from Qatar University. The specific years of their enrollment and graduation for this degree are not provided.

Similarly, Sara also earned a Master of Science (MS) degree in Computing from Qatar University. The exact dates of their enrollment and completion for this degree are not specified.

Additionally, Sara has acquired several certifications throughout their educational journey. Sara completed the Deep Learning Specialization and Sequence Models courses from Coursera in March 2021. In July 2020, they obtained a certification in Convolutional Neural Networks from Coursera. Previously, in May 2020, Sara completed the course on Structuring Machine Learning Projects from Coursera. In April 2020, they finished the course on Introduction to TensorFlow for Artificial Intelligence, Machine Learning, and Deep Learning, also from Coursera.

Moreover, Sara received a Certificate of Presentation and Participation in the IEEE CommNet'20 Conference, held in September 2020. Sara similarly obtained a Certificate of Presentation and Participation in the IEEE ICIoT'20 Conference, which took place in February 2020.

Furthermore, Sara has participated in various other certification programs and courses. These include the Improving Deep Neural Networks: Hyperparameter tuning, Regularization and Optimization course from Coursera (February 2020), the QP Ta'sees 2019 Program organized by Qatar Petroleum (September 2019), the Managing Self - QP Ta'sees program offered by Qatar Finance and Business Academy (September 2019), the Neural Networks and Deep Learning course from Coursera (August 2019), the Presentation skills - QP Ta'sees program by Informa & Tharawat LLC (April 2019), and the Introduction of Oil & Gas - QP Ta'sees program provided by NExT Schlumberger (March 2019).

Overall, Sara Al-Emadi's education history includes a PhD program in Computer Science and Engineering at Hamad Bin Khalifa University, a Bachelor of Science degree in Computer Engineering, and a Master of Science degree in Computing, both from Qatar University. In addition, they have obtained certifications in various fields, particularly in deep learning, neural networks, and related technologies.