UCL School of Management

Rouba Ibrahim

Professor
Head (Operations and Technology)
Phone number
(0)20 3108 6017
(internal 56017)
Office location
Level 38, 1 Canada Square
Rm W4
Elsewhere

Biography

Rouba Ibrahim is a professor at the School of Management of University College London (UCL). She holds a PhD degree in Operations Research from Columbia University (2010), an MSc degree in Applied Mathematics from Stony Brook University (2004), and a BSc degree in Mathematics from the American University of Beirut (2002).   



Research

Rouba’s research interests lie in stochastic modelling applications to service systems, especially call centers and healthcare systems. In particular, she is interested in applying queueing-theoretic methods and numerical tools, such as simulation modelling and data analysis, to problems relating to the operational management of service systems. 

PhD supervisor to:

Research projects

Delay announcements in service systems

This project studies effective ways of announcing delays to incoming customers, as is commonly done in call centers or hospitals.

Data analytics in service systems

We analyse data from service systems, such as call centers or hospitals, to inform operational efficiency in those systems.

Sharing economy

We use queueing-theoretic analysis to improve operations in the sharing economy.

Behavior in queueing systems

In this stream of work, we study behavioral phenomena in queueing systems.
Selected publications
Ibrahim, R., Kim, S. H., & Tong, J. (2021). Eliciting Human Judgment for Prediction Algorithms. Management Science. doi:10.1287/mnsc.2020.3856 [link]
Dong, J., & Ibrahim, R. (2021). SRPT Scheduling Discipline in Many-Server Queues with Impatient Customers. MANAGEMENT SCIENCE. doi:10.1287/mnsc.2021.4110 [link]
Dong, J., & Ibrahim, R. (2020). Managing Supply in the On-Demand Economy: Flexible Workers, Full-Time Employees, or Both?. Operations Research. doi:10.1287/opre.2019.1916 [link]
Ibrahim, R., & Bassamboo, A. (2020). A General Framework to Compare Announcement Accuracy: Static vs LES-based Announcement. Management Science, 0. doi:10.1287/mnsc.2020.3722 [link]