Academic Staff

Lecturer in the School of Global Business

Email: eleni.rozaki@tudublin.ie 

Tel: +353 1 220 7519 

Qualifications 

• PhD in Data Mining and Machine Learning - Cardiff University School of Computer Science and Informatics  

• MSc in Quantitative Methods & Information Technology as Support for Economic Decisions - University of Bari, Italy  

• PG Dip in Quantitative Methods as Support for Economic Decisions - University of Bari, Italy  

• Degree in Economy & Trade (Economia e Commercio) - University of Bari, Italy  

  

Research Focus:  

• Machine Learning for customer segmentation  

• Targeted marketing strategies  

• Sustainability analytics  

• Medical data mining with a focus on cancer research  

 

Research Interests:  

• Data-driven insights into consumer behaviour and social media interactions  

• Development of machine learning techniques for business applications  

• Investigation of sustainability analytics for decision-making in business contexts  

• Medical data mining with an emphasis on cancer studies  

 

Publications:  

• Integration of Machine Learning Techniques to Evaluate Dynamic Customer Segmentation Analysis for Mobile Customers  
  C. Dullaghan, E. Rozaki - arXiv preprint  

• Network Fault Diagnosis Using Data Mining Classifiers  
  E. Rozaki - Computer Science & Information Technology  

• Clustering Optimisation Techniques in Mobile Networks  
  E. Rozaki - arXiv preprint  

• Financial Predictions Using Cost Sensitive Neural Networks for Multi-Class Learning  
  E. Rozaki - Advanced Engineering Forum  
• Automated Network Optimisation Using Data Mining as Support for Economic Decision Systems  
  E. Rozaki - Cardiff University  

Certifications and Academic Contributions:  

• External examiner for Dún Laoghaire Institute of Art, Design & Technology.  

• Reviewer and editorial board member for the International Journal of Data Mining & Knowledge Management Process (IJDKP) and the Journal of Education and Learning (EduLearn).  

 

Scholarship Contributions:  

• Active involvement in the development of data analytics curriculum and business computing modules.  

• Supervision of students in industry-focused data analytics projects, particularly in MSc Digital and Content Marketing.  

  

 Industry and Profession, Civic and Community Engagement, Staff Development  

• Industry Experience:  

• Management Information Analyst, Barclaycard International: Developed statistical models and algorithms for reporting and statistical analysis.  

• Financial Analyst, Symantec: Managed databases, automated reports, and supported operational efficiency through data analysis.  

 

Professional Memberships:  

• Chartered Management Institute (CMI)  

• IEEE  

• ACM (Association for Computing Machinery)  

• Marketing Institute of Ireland  

• Advocate for diversity and inclusion, especially promoting women in technology and analytics.