Rupal joined Loughborough as a Lecturer in Management Science in 2011. She holds a bachelor’s degree in Mathematics from Leicester University, an MSc in Statistics from Nottingham University, and a PhD (sponsored by British Telecom) in Operational Research from Warwick University.
Rupal's interest is to develop and apply operations research models and methods to study problems related to revenue management. Her current research focuses on using reinforcement learning methods to dynamically price perishable products for industries such as the airline and telecommunications.
In collaboration with BT, Rupal was awarded an EPSRC Industrial Case Award (£90,000) to fund a PhD project.
- Best Paper Award at Ocean Engineering Symposium, which wa published in: Chen, J. M., Liang, D., & Rana, R. (2012). N-Wave Runup Statistics at Surf Zone Using Boussinesq-Type Model. In ASME 2012 31st International Conference on Ocean, Offshore and Arctic Engineering. American Society of Mechanical Engineers.
Peer-reviewed journals
- Rana R., & Oliveria F. (2015). Dynamic pricing of perishable products under incomplete information using Reinforcement learning, Expert Systems with Application, 42(1): 426‑436.
- Rana R., & Oliveria F. (2014). Real time dynamic pricing of perishable products under incomplete information using Reinforcement. Omega 47: 116‑126.
- Liang, D., Liu, H., Tang, H., & Rana, R. (2013). Comparison between Boussinesq and shallow-water models in prediciting solitary wave runup on plane beaches. Coastal Engineering Journal, 55(4): 1350014
Book chapters
- Rana, R. & Oliveria F. (2008). Business to Business Online Revenue Management. In Voudouris, C., Owusu, G. and Dorne, R. (Eds.) Service Chain Management Technology: Innovation for the Service Industry. Springer
Conference proceedings
- Chen, J. M., Liang, D., & Rana, R. (2012). N-Wave Runup Statistics at Surf Zone Using Boussinesq-Type Model. In ASME 2012 31st International Conference on Ocean, Offshore and Arctic Engineering. American Society of Mechanical Engineers.