Amina Souag

Dr Amina Souag

I am Amina Souag, Lecturer in computing at the School of Engineering, Technology and Design.

I earned my PhD from the Research Centre in Computer Sciences at Paris 1 Panthéon-Sorbonne University. My doctoral research, funded by the French Ministry of Higher Education and Research from 2011 to 2015, cantered on the development of an artificial intelligence ontology-based and rule-based approach for requirements engineering.

Following the completion of my PhD, I continued my academic path at Paris 1 Sorbonne, where I took the role of an assistant lecturer and researcher. In this capacity, I worked on the evaluation of pattern-based methods for requirements engineering. I also worked on the use of ontologies and knowledge engineering within the field of digital humanities, penning a book chapter on the subject. Additionally, I participated as an additional reviewer for a few conferences, workshops, and journals.

I joined Canterbury Christ University as a lecturer in computing, where I assumed the role of module leader for various modules, including artificial intelligence, computational thinking, big data databases and advanced database systems.

  • Artificial Intelligence Computing.
  • Advanced Databases and Big Data.
  • Big Data Databases Development.
  • Computational Thinking.

In my current research, I focus on the integration of artificial intelligence and big data to enhance health and well-being. My ongoing projects encompass the utilization of machine learning in the analysis of cancer data, the implementation of expert systems in healthcare, and the application of machine learning in the domain of smart farming.

My expertise spans machine learning, deep learning, expert and knowledge systems, as well as advanced and big data databases.

Research Projects

  • Malicious comment analysis in online newspaper sites using AI approaches. Researcher(s): Mr Nima Movassagh. Supervisor(s): Dr Scott Turner, Dr Amina Souag, Dr Sarah Lieberman. [Postgraduate Research Project]
  • Multi-modal Integration of Omics and Clinical Data for Explainable Biomarker Discovery in a Life-Threatening Disease: A Comprehensive Machine Learning Approach on Cancer. Researcher(s): Mr Adedayo Olowolayemo. Supervisor(s): Dr Amina Souag, Dr Ali Jaddoa, Professor Konstantinos Sirlantzis. [Postgraduate Research Project]
  • Member of the Organizing Committee of the 7th IEEE International Conference on Research Challenges in Information Science, 29-31 May 2013, Paris, France.
  • Member of the Organizing Committee of the one-day workshop of the IREB 2013 (International Requirements Engineering Board), Paris, France.
  • Additional reviewer for journals and conferences (REFSQ’2014, CISIS’14-IGPL: Computational Intelligence in Security for Information System, Special Issue of Annals of Telecommunications 2016, IDA 2023)