Dr Shatha Ghareeb is a Lecturer in Computer Science at Teesside University, United Kingdom, and holds a Ph.D. in Computer Science from Liverpool John Moores University. Her academic background combines computer science, business, and educational leadership, enabling a multidisciplinary approach to teaching, research, and innovation.

Her research focuses on Artificial Intelligence (AI), Machine Learning, Learning Analytics, Educational Data Mining, Explainable AI, and Responsible AI, with a particular emphasis on applications within education. She is interested in developing intelligent and interpretable AI solutions that enhance student success, support evidence-based decision-making, and improve learning and teaching practices.

Her current research includes the development of a Hybrid Gradient-Boosting and Transformer Computational Framework for Explainable, Curriculum-Aware Academic Risk Modelling in Heterogeneous Multi-Curriculum Educational Data, as well as TRAJECT-X (Temporal Representation and Advanced Joint Clustering for Educational Trajectory Exploration), which explores student learning pathways and progression patterns using advanced temporal learning and clustering techniques.

Dr Ghareeb is actively involved in several interdisciplinary research and innovation projects. She serves as a Co-Investigator on the NIHR-funded Trust in AI for Mental Health: Co-producing a Framework Through PPIE Using an LLM-Chatbot Demonstrator, which explores trustworthiness, safety, and governance considerations for AI-enabled mental health support. She is also contributing to Reclaiming the Digital Image: Women, AI Representation, Bias and Media Storytelling, a project examining bias, representation, and responsible AI in digital media. In addition, she is part of the Innovate UK-funded TechLocal AI Professional Degree and Traineeship Accelerator: North East Responsible AI Workforce Accelerator, supporting the development of responsible AI skills, governance, safety, security, and workforce development through industry-focused professional education and placements.
Previously, she contributed as a Co-Investigator to CyberPathway: Empowering Diversity in Cybersecurity, a project designed to address the UK's cybersecurity skills shortage while promoting diversity and inclusion by supporting women, ethnic minority communities, and individuals from disadvantaged backgrounds in accessing cybersecurity education, training, and career pathways.

She maintains an active international research profile and regularly publishes and presents work at leading conferences. At DeSE 2025, she presented many IEEE papers indexed in Scopus and serves as a Session Chair, Lead Reviewer, and Technical Program Committee member. In 2026, she received the Best Research Paper Award at the Future Facing Learning & AI in Higher Education Conference, where she also served as a Session Chair and Panel Member.

Alongside her research activities, Dr Ghareeb contributes as a reviewer for journals, conferences, and book chapters in Artificial Intelligence, Machine Learning, Data Science, and Educational Technologies. She is also Project Manager of ExpoTees, Teesside University's flagship student-employer engagement event, supporting innovation, employability, and industry collaboration.

Dr Ghareeb is a Fellow of Advance HE (FHEA) and is committed to delivering high-quality, student-centred teaching that promotes active learning, critical thinking, and innovation. Fluent in both Arabic and English, she brings an international perspective to research, education, and academic collaboration.