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Hamza Saouli, Ph.D., has a strong background in data science and innovation. Hamza served as the head of the Data Science and Innovation Team at Customs Bridge, where they designed and developed machine learning and deep learning algorithms for various applications such as NLP, language modeling, NER, chatbot training, anomaly detection, and computer vision.

Prior to that, they worked as a University Lecturer at USTHB from October 2018 to October 2019. Hamza also had a collaboration with LINFI Laboratory in Biskra, Algeria, in association with LIRIS Lyon-France, where they worked as a Scientific Researcher from February 2015 to October 2019.

Hamza Saouli had extensive teaching experience as well. Hamza worked as a University Lecturer at the University of Biskra from December 2016 to October 2018 and as an Assistant Lecturer from November 2015 to November 2016. Before that, they served as a Long Term Substitute Teacher at the University of Biskra from January 2011 to January 2015.

Hamza also has a background in research and innovation engineering and worked as a Research and Innovation Engineer at LINFI and LIRIS laboratories. In this role, they participated in R&D projects to develop and test innovative IT solutions in the fields of web services, cloud computing, and artificial intelligence. Hamza also contributed to scientific publications and presented results and project progress in various conferences.

Throughout their career, Hamza Saouli has demonstrated expertise in machine learning, deep learning, natural language processing, and computer vision. Hamza has a strong academic background and experience in teaching, research, and innovation in diverse technological fields.

Hamza SAOULI, Ph.D. has a diverse education history. In 2005, they obtained a Bachelor's degree in Computer Science from the University Mohamed Khider of Biskra. Hamza then pursued a Master's degree in Artificial Intelligence from the same university, completing it in 2010. From 2011 to 2015, Hamza worked towards a Doctor of Philosophy (Ph.D.) degree in Image and Artificial Intelligence, conducting research at both the LIRIS (INSA, Lyon, France) and LINFI (MK University, Biskra, Algeria) labs. In 2016, they obtained a Pedagogical and Didactic Diploma from the University Mohamed Khider of Biskra. In 2018, Hamza expanded their skills by completing online courses on the Udacity E-Learning Platform, gaining expertise in Data Analysis and Full Stack Development.