Scaling While Privacy Preserving: A Comprehensive Synthetic Tabular Data Generation and Evaluation in Learning Analytics. - Qinyi Liu; Mohammad Khalil; Jelena Jovanovic 001; Ronas Shakya (LAK, 2024)

Designing a Learning Analytics Dashboard for Individual and Collaborative Use in Remote Labs. - Ronas Shakya; Mohammad Khalil (CSCWD, 2025)

Creating Artificial Students that Never Existed: Leveraging Large Language Models and CTGANs for Synthetic Data Generation. - Mohammad Khalil; Farhad Vadiee; Ronas Shakya; Qinyi Liu (LAK, 2025)

Advancing privacy in learning analytics using differential privacy. - Qinyi Liu; Ronas Shakya; Mohammad Khalil; Jelena Jovanovic 001 (LAK, 2025)

A Showdown of ChatGPT vs DeepSeek in Solving Programming Tasks. - Ronas Shakya; Farhad Vadiee; Mohammad Khalil (CoRR, 2025)

Towards Privacy-Preserving Data-Driven Education: The Potential of Federated Learning. - Mohammad Khalil; Ronas Shakya; Qinyi Liu (CoRR, 2025)

Ensuring privacy through synthetic data generation in education. - Qinyi Liu; Ronas Shakya; Jelena Jovanovic 001; Mohammad Khalil; Javier de la Hoz-Ruiz (Br. J. Educ. Technol., 2025)