Omer Raza is a Lecturer in Computing at Northumbria University London, with extensive industry experience in software engineering, artificial intelligence, web and mobile application development, and cloud technologies.
He holds an MSc in Big Data and Data Science Technology from Northumbria University, graduating with Distinction. His academic and professional interests include Generative AI, Agentic AI, Machine Learning, Data Science, Cloud Computing, and Software Engineering.
Before entering higher education, Omer worked extensively in the technology industry, designing and developing software solutions across different business sectors. He continues to combine his industry experience with academic teaching, bringing practical insights, emerging technologies, and real-world applications into the classroom.
At Northumbria University London, Omer teaches across undergraduate and postgraduate computing programmes. His teaching covers areas including Artificial Intelligence, Big Data Analytics, Web and Mobile Application Development, Cloud Computing, Cybersecurity, and Software Development. He is also involved in supervising student projects and supporting students in developing their technical, analytical, and problem-solving skills.
Omer has a particular interest in innovative teaching approaches that connect academic learning with industry practice. He incorporates project-based learning, practical workshops, and collaborative hackathons to encourage students to apply their knowledge to real-world challenges.
Alongside his academic role, Omer is the Founder of ResearchBuddyAI, an AI-powered research assistance platform designed to support researchers and students throughout different stages of the research process. This work reflects his wider interest in the responsible application of artificial intelligence in higher education, academic research, and professional practice.
His current interests focus on Agentic AI, trustworthy AI systems, AI-assisted research, and the opportunities and challenges associated with integrating emerging technologies into higher education.
Omer is committed to creating an engaging and inclusive learning environment that encourages independent thinking, practical experimentation, and continuous professional development.
Omer’s interests include the development of AI-powered systems, multi-agent architectures, trustworthy and responsible AI, human-AI collaboration, and the application of Generative AI to research and higher education.
He is particularly interested in how emerging AI technologies can improve learning experiences, strengthen research processes, and support practical problem-solving while maintaining transparency, reliability, and human oversight.
Provenance, Not Detection: Measuring AI Contribution in Student Code at the Point of Creation
Manuscript in preparation.
This ongoing research explores how AI contributions to student programming work can be recorded and evaluated during the development process. It focuses on transparency, academic integrity, and understanding human-AI collaboration in computing education.