黑料吃瓜资源

Ronas Shakya

Position

Phd candidate, Cancer epidemiology

Affiliation

Research groups

Short info

I am working on the KidImmune project, funded by the Trond Mohn Foundation, where I study autoantibody profiles and their association with pediatric cancer. My background includes prior research in learning analytics, machine learning, and synthetic data generation using deep learning models.
Teaching

Teaching assistant -

Publications

Khalil, M., Shakya, R., Liu, Q., Ebner, M. (2024). How to Plan and Manage a Blended Learning Course Module Using Generative Artificial Intelligence?. In: Panda, S., Mishra, S., Misra, P.K. (eds) Case Studies on Blended Learning in Higher Education. Springer, Singapore.

Khalil, M., Vadiee, F., Shakya, R., & Liu, Q. (2025). Creating Artificial Students that Never Existed: Leveraging Large Language Models and CTGANs for Synthetic Data Generation. ArXiv.org.  

Liu, Q., Shakya, R., Khalil, M., & Jovanovic, J. (2025). Advancing privacy in learning analytics using differential privacy. ArXiv (Cornell University).  

Projects

RIALHE - Remote Intelligent Access to Labs in Higher Education