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Sepideh Emam, Ph.D has a diverse work experience in the field of software engineering and AI. Sepideh started their career as a Research Scientist at Khaje Nasir Toosi (K. N. Toosi) University of Technology from October 2010 to September 2011. Sepideh then joined the University of Alberta in January 2012 as an AI Scientist and also pursued their Ph.D in Software Engineering and Intelligent Systems, which they completed in June 2018. During their time at the University of Alberta, they also served as a Teaching Assistant from September 2012 to December 2012. Later, in March 2014, they took on the role of Data|Software Quality Team Lead at the same university.

Sepideh Emam, Ph.D has a diverse education background. In 2023-2024, they pursued studies in Deep Reinforcement Learning at the University of Toronto. Prior to that, they obtained a Doctor of Philosophy (PhD) in Software Engineering and Intelligent Systems from the University of Alberta between 2012 and 2018. Additionally, they hold a Master of Science (MSc) degree in Information Technology- Electronic Commerce from K. N. Toosi University of Technology from 2009 to 2011. In 1998-2005, they completed a Diploma in Mathematics at the National Organization for Development of Exceptional Talents.