Biography

Dr Mohamed Bader-El-Den is a Professor in AI and Data Science.

In 2016, aligning with the faculty's strategic goals, I started the establishment of the DataPort - Enterprise Data Intelligence subject group, Which now becomming Portsmouth AI and Data Science center (PAIDS). My research and academic leadership have enabled the development of the group's research profile, attracting external funding, creating impact, recruiting PhD students, as well as supporting colleagues. Additionally, the group is home to specialised MSc and BSc courses in Data Science and Analytics that I was responsible for designing and developing. 

Cogently, I am leading active projects funded by over £1.1 million, in addition to previously successful projects. This funding is primarily from industry collaboration and Knowledge Transfer Partnership (KTP) initiatives. One successful example is a collaboration with Fresh Relevance, a UK leader in digital marketing, which has led to the development of several pioneering AI and ML methods for understanding consumer behaviour and digital marketing; examples of these methods include [Example 1] [Example 2] [Example 3]. Another project is with Campden BRI, the UK’s largest food research organisation, focusing on developing AI for trend discovery in text. Recently, we also received funding of £580,000 in collaboration with ABL 1 Touch, with the project commencing in July 2025.

My research has produced over 80 peer-reviewed publications. 

Beyond the academic domain, my research has achieved tangible impact. Based on our KTP success, Fresh Relevance was awarded Tech SME of the Year at the prestigious South Coast Tech Awards 2023 (October 2023). This is mainly attributed to our KTP projects. Fresh Relevance’s CEO, Mike Austin, underscored this in his award speech, stating, “This year has been pivotal for us, especially due to our collaboration with the University of Portsmouth, where we embarked on a significant AI project. This partnership has been key in creating AI technology for our products, leading to increased revenue for our clients from their websites” [Award Page]. The KTP's final report also indicates an increase in sales rates due to marketing, targeting a 10% improvement over non-AI-driven methods.

Currently, I am supervising a team of 8 PhD students as the main supervisor. I have successfully supervised 13 students (5 as first supervisor).

Research interests

• Machine Learning (ML) and Data Mining (DM).
• Classification and Class Imbalance.
• Applications of DM and ML in Health Care, Cybersecurity, Digital Marketing etc.
• Evolutionary Computation and Genetic Programming
• Heuristic, Hyper-heuristics and Meta-heuristic for combinatorial optimisation problems