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Ronas Shakya

Ronas Shakya

Position

PhD Candidate, Cancer epidemiology

Affiliation

E-mail
ronas.shakya@uib.no
Phone number
93956254
Visitor address
Årstadveien 17
5009 Bergen
Postal address
P.O. Box 7804
NO-5020 Bergen
Norway

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 - IGSIN919: - Introduction to Practical Machine Learning

Publications
Academic book chapter
Academic article

See a complete overview of publications in Cristin.

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. https://doi.org/10.1007/978-981-97-9388-4_4

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. https://arxiv.org/abs/2501.01793 

Liu, Q., Shakya, R., Khalil, M., & Jovanovic, J. (2025). Advancing privacy in learning analytics using differential privacy. ArXiv (Cornell University). https://doi.org/10.1145/3706468.3706493 

Projects

RIALHE - Remote Intelligent Access to Labs in Higher Education