Amel Bennaceur
About Amel Bennaceur
Amel Bennaceur is a Commercial Strategy Manager at FutureLearn and an Associate Professor in Computing at The Open University. With extensive experience in research and teaching, he has contributed to numerous projects and published over 30 papers in reputable journals and conferences.
Work at FutureLearn
Amel Bennaceur has served as the Commercial Strategy Manager at FutureLearn since 2021. In this role, he is responsible for developing and implementing strategies that enhance the commercial viability of the platform. His experience in the education sector and understanding of market dynamics contribute to FutureLearn's growth and outreach efforts.
Current Academic Role
In addition to his role at FutureLearn, Amel Bennaceur is an Associate Professor in Computing at The Open University. He has held this position since 2020, focusing on teaching and research in computing. His academic background and professional experience inform his contributions to the university's curriculum and research initiatives.
Professional Background
Amel Bennaceur has a diverse professional background that includes significant roles in research and education. He worked as an R&D Engineer at Inria for seven months in 2013 and has held various positions at The Open University, including Lecturer and Research Associate. His experience spans multiple years in both academic and research settings, contributing to his expertise in computing.
Education and Expertise
Amel Bennaceur holds a Doctor of Philosophy (PhD) in Computer Science from Université Pierre et Marie Curie (Paris VI), completed from 2009 to 2013. He also earned a Master of Business Administration (MBA) from The Open University between 2017 and 2021. His educational background is complemented by expertise in programming languages, web development frameworks, and machine learning.
Research Contributions
Amel Bennaceur has contributed to numerous EU and National/EPSRC research projects. He has published over 30 papers in prominent journals and conferences, focusing on adaptive and intelligent systems. His research employs semantic reasoning, model checking tools, and machine learning frameworks, reflecting his commitment to advancing knowledge in computing.