Mohd Shoaib
University College London, Indian Oil Corporation (India), National Institute of Industrial Engineering, Landmark Group
0000-0002-6023-0436
About
Dr. Mohd Shoaib holds a Ph.D. in Industrial Engineering and Operations Research from the Indian Institute of Technology (IIT) Delhi, India. He is currently a Research Associate at Nottingham Business School, Nottingham Trent University, working on an EPSRC-funded project focused on the circular economy of small medical devices. In this role, he develops simulation models as decision support tools to optimize the supply and recovery chain for small medical device circularity.
Dr. Shoaib’s research interests encompass modeling and simulation, particularly in the context of healthcare delivery systems, supply chains and sustainability. Additionally he is interested in the integration of reinforcement learning with discrete event simulation models for sequential decision-making. His academic contributions have been recognized through prestigious awards such as the Newton-Bhabha Fellowship and the Tata Consultancy Research Fellowship.
He has published his research in reputed journals and presented at international conferences, contributing significantly to the fields of Industrial Engineering and Operations Research.
Employment
-
University College London Research Fellow2026 - Present
-
Cranfield University2025 - 2026
-
Nottingham Trent University Research Associate2024 - 2025
-
Loughborough University Research Associate2023 - 2024
-
Indian Oil Corporation (India) Fleet Marketing Officer
-
Landmark Group Logistics Associate
Education
-
National Institute of Industrial Engineering Post Graduate Diploma in Industrial Engineering (Master of Technology)2015 - 2016
Projects & Funding
Projects & funding information is unavailable.
Publications (13)
- Evaluation of a two-stage healthcare facility location approach using simulation optimisation and mathematical optimisation Save
- Airline Decision-Making in Sustainable Aviation Fuel Transition: A Hybrid Simulation Modeling Approach Save
- A Framework for Predicting Runtime Savings from Discrete-Event Simulation Model Simplification Operations Save
- A Framework for Predicting Runtime Savings from Discrete-Event Simulation Model Simplification Operations Save
- Towards using Simulation to Evaluate the Circular Economy of Small Medical Devices Save
- Leveraging multi-tier healthcare facility network simulations for capacity planning in a pandemic Save
- An Approach Towards Predicting the Computational Runtime Reduction from Discrete-Event Simulation Model Simplification Operations Save
- A discrete-event simulation model of the kidney transplantation system in Rajasthan, India Save
- Simulation modeling and analysis of primary health center operations Save
- Leveraging Healthcare Facility Network Simulations for Capacity Planning and Facility Location in a Pandemic Save