Abdulrahman Ahmed

Abdulrahman is a PhD student in the industrial engineering department at the University of Pittsburgh. His current research focuses on devising efficient techniques for estimating treatment effects from large-scale simulations (i.e., simulation metamodel), particularly in scenarios where sampling from these simulations proves to be resource-intensive. Previously, he worked on developing reinforcement learning methods for a financial problem called optimal execution problem, where the decision maker needs to devise a cost-saving strategy to maximize the gain from the execution. He got his MSc and BSc in operations research and computer science from Cairo University.

  • MSc, Operations Research and Computer Science, Cairo University, 2022
  • BSc, Operations Research and Computer Science, Cairo University, 2011 - 2015

  • Ahmed, A.A., Rahimian, M.A., Chen, Q., & Kumar, P. (2025). Computationally Efficient Estimation of Localized Treatment Effects in High-Dimensional Design Spaces using Gaussian Process Regression. In medRxiv. doi: 10.64898/2025.12.30.25343216.
  • Ahmed, A.A., Rahimian, M.A., & Roberts, M.S. (2024). Optimized Model Selection for Estimating Treatment Effects from Costly Simulations of the US Opioid Epidemic.

  • Ahmed, A.A., Rahimian, M.A., & Roberts, M.S. (2023). Inferring Epidemic Dynamics Using Gaussian Process Emulation of Agent-Based Simulations. In 2023 Winter Simulation Conference (WSC), 00, (pp. 770-780).Institute of Electrical and Electronics Engineers (IEEE). doi: 10.1109/wsc60868.2023.10408157.
  • Ahmed, A.A., Rahimian, M.A., & Roberts, M.S. (2023). Estimating Treatment Effects Using Costly Simulation Samples from a Population-Scale Model of Opioid Use Disorder. In 2023 IEEE EMBS International Conference on Biomedical and Health Informatics (BHI), 00, (pp. 1-4).Institute of Electrical and Electronics Engineers (IEEE). doi: 10.1109/bhi58575.2023.10313496.
  • Ahmed, A.A., Ghoneim, A., & Saleh, M. (2020). Optimizing stock market execution costs using reinforcement learning. In 2020 IEEE Symposium Series on Computational Intelligence (SSCI), 00, (pp. 1083-1090).Institute of Electrical and Electronics Engineers (IEEE). doi: 10.1109/ssci47803.2020.9308153.
headshot of Abdulrahman Ahmed
Contact Abdulrahman Ahmed
Researcher Graduate Student
ABA173@pitt.edu
Industrial Engineering