Q-Learning with Shift-Aware Upper Confidence Bound in Non-Stationary Reinforcement Learning
Ha Manh Bui, Felix Parker, Kimia Ghobadi, Anqi Liu · arXiv preprint arXiv:2510.03181
Jing is a PhD student in the Department of Civil and Systems Engineering (CaSE), the Center for Systems Science and Engineering (CSSE), the Data Science and AI Institute (DSAI), and the Malone Center for Engineering in Healthcare (Malone) at Johns Hopkins University. Her research focuses on large-scale optimization, decision-making under uncertainty, and machine learning, with applications in healthcare delivery and medical physics. She develops data-driven robust optimization frameworks for healthcare operations and radiotherapy planning, including nurse scheduling and downstream inventory management.
Projects
Selected publications
Lessons of Relevance and Rigor from the Literature: The Case of Healthcare Supply Chain
Kimia Ghobadi, Eugene Schneller, Jing Liu, Yousef Abdulsalam, Cassandra Thiel · 2023 Annual Research Meeting
Is There a Market for Sustainable Healthcare?
Ferdinand K Hui, Andrew Menard, Kimia Ghobadi, TY Alvin Liu, Phillip Phan · Journal of Sustainable Marketing