Reza Rafiee

Dr. Reza Rafiee is a Lecturer (Education) in Data Analytics and Machine Learning at Queen's University Belfast's School of Electronics, Electrical Engineering and Computer Science, part of the Faculty of Engineering and Physical Sciences. He holds a PhD in Machine Learning from Newcastle University and is a Fellow of the Higher Education Academy.

Education:

• PhD in Machine Learning, Newcastle University (2013)
• MSc in Artificial Intelligence and Robotics, Iran University of Science and Technology (2001)
• BEng (Hons.) in Computer Engineering, Iran Azad University (1998)

Research Interests:

• AI in Education: Developing personalized learning tools, virtual reality for healthcare training, and data science pedagogy.
• AI in Health: Cancer genomics, tumor subgroup classification, and clinical diagnostic software (e.g., MIMIC and ICST).
• High-Throughput Genomic Analysis: RNA-Seq, DNA methylation, and bioinformatics pipeline development.

Recent Article Trends: Focus on AI-driven solutions in medulloblastoma research (subgroup classification, relapse prediction) and educational innovations (VR-based learning, personalized pathways). His work bridges machine learning with clinical and educational applications.

Scientific Awards:

• Fellow of the Higher Education Academy (2019)
• Queen's University Belfast Innovation in Teaching Fund (2025)
• STAR Recognition Award (2023)

Teaching & Leadership: Leads the EEECS Academic Quality Assurance (2025) and advises the MSc AI program. Teaches courses like AI for Health and Principles of Machine Learning.

Labs/Teams: Active in GitHub repositories including ICST (immune-based tumor classification) and MIMIC (DNA methylation diagnostics).