Hello, I'm a Ph.D. candidate from the Centre for the science of learning & technology, University of Bergen, Norway. My research focuses on using artificial intelligence and data-driven tools (e.g., generative AI, Privacy-Perserving Machine Learning) to address privacy and data protection issues in learning analytics and to build trustworthy learning analytics.

IGSIN919V Introduction to practical machine learning, University of Bergen

IGSIN919 Introduction to practical machine learning, University of Bergen

Academic anthology/Conference proceedings

• Liu, Qinyi; Khalili, Mohammad; Shakya, Ronas et al. (2024). Scaling While Privacy Preserving: A Comprehensive Synthetic Tabular Data Generation and Evaluation in Learning Analytics. (external link)

Academic literature review

• de La Hoz-Ruiz, Javier; Khalil, Mohammad; Domingo Segovia, Jesús et al. (2024). Learning analytics for enhanced professional capital development: a systematic review. (external link)

Academic article

• Liu, Qinyi; Khalil, Mohammad (2023). Understanding privacy and data protection issues in learning analytics using a systematic review. (external link)

Poster

• Liu, Qinyi; Khalil, Mohammad (2023). A detail survey of identified privacy and data protection issues for learning analytics. (external link)
• Liu, Qinyi; Khalil, Mohammad (2023). Neuroscience Inspired Artificial Working Memory. (external link)
• Liu, Qinyi; Rabello Mestre, Andre; Khalil, Mohammad (2023). Perspectives of Multimodal Data Sharing and Privacyin VR Learning Rooms. (external link)

See a complete overview of publications in Cristin.