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Mohamed Benkedadra is an accomplished Artificial Intelligence Researcher at TRAIL - TRusted AI Labs since September 2021 and a Doctoral Researcher at UMONS, focusing on deep learning for dangerous action detection and prediction. Concurrently, Mohamed holds a position as a Doctoral Researcher at ISIA LAB - UMONS. Previously, Mohamed served as a Full Stack Engineer at SFIZER GLOBAL SOLUTIONS from August 2018 to January 2021, where advanced web scraping techniques were utilized, and at Minelead.io from March 2019 to May 2020, where the initial code base was created and maintained for web crawling and cloud services. In addition to engineering roles, Mohamed has experience as a Communication Intern for the Information and Communication Committee at the Festival national de théatre Amateur de Mostaganem. Educational qualifications include a PhD in Artificial Intelligence from UMONS (2021-2024), a Master's degree in Computer Science from Université de Mostaganem (2018-2020), and a Licentiate degree in Computer Science from Université de Mostaganem (2015-2018).