Summary
Mohamed Bouadjenek is a Senior Lecturer and applied AI researcher at Deakin University with 12 years of experience bridging machine learning, deep learning and information retrieval. He co-leads the Machine Learning for Decision Support group and has a strong international research pedigree with roles at the University of Toronto, University of Melbourne and INRIA. His work applies analytic and algorithmic tools to practical problems including recommender systems, interactive visual search, social network analysis and data quality, demonstrating a blend of theoretical rigor and real-world impact. Mohamed earned his PhD and MSc from Université Paris-Saclay and began his career in industry research at Alcatel‑Lucent Bell Labs, giving him cross-sector perspective. He is based in Melbourne and known for translating data-driven methods into decision-support tools that improve user-facing systems. An understated strength is his recurring focus on data quality and interaction design within IR and ML projects, which often distinguishes his applied work.
11 years of coding experience
9 years of employment as a software developer
Graduate Certificate of Higher Education for Learning and Teaching, Graduate Certificate of Higher Education for Learning and Teaching at Deakin University
Bachelor of Science Computational Science, Bachelor of Science Computational Science at University of Sciences and Technology Houari Boumediene
Doctor of Philosophy Computational Science, Doctor of Philosophy Computational Science at Université Paris-Saclay