Bayan Hamdan | American University of Sharjah
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Profile

College / Department

College of Engineering
Department of Industrial Engineering

Teaching areas

Operations Research 1 Stochastic Modeling and Simulation Engineering Management

Research areas

Her research interests lie in robust optimization of stochastic systems, disaster supply chain optimization and statistical machine learning.

Education

PhD, Industrial Engineering, University of Illinois at Urbana-Champaign, 2023
MS, Engineering Systems And Management, Masdar Institute of Science and Technology, 2017
BS, Industrial Engineering, American University of Sharjah, 2016

Contact

[email protected]
+971 6 515 4983

Bayan Hamdan

Assistant Professor
PhD, University of Illinois at Urbana-Champaign,

Bayan Hamdan joined her Alma Mater, the American University of Sharjah, as an Assistant Professor in Fall 2023. She graduated with a PhD in Industrial Engineering from the University of Illinois at Urbana-Champaign in 2023. She obtained her masters degree in Engineering Systems and Management from Masdar Institute of Science and Technology’s collaborative program with MIT in 2017. She also completed her bachelors degree in Industrial Engineering from the American University of Sharjah in 2016.

Publications

Bayan Hamdan And Pingfeng Wang. Multi-fidelity Bayesian learning for offshore production well reliability analysis, Applied Mathematical Modelling, 2024
Hamza Adeinat And Bayan Hamdan. Diversified Fleet Routing for Disaster Management, Computers And Industrial Engineering
Anabel Renteria, Yanwen Xu, Bayan Hamdan, Zhou Li, Sergio Cordero, Debbie Senesky And Pingfeng Wang. Data-Driven Design of High Electron Mobility Transistor Devices Using Physics-Informed Gaussian Process Modeling, 2023
Julia Abreu, Alvaro Costa, Pedro Costa, Miranda, Ant\^onio Co, Colombo Tassinari, Weber, Nath\'alia, Gustavo Assi, Meneghini, J\'ulio, Kazuo Nishimoto, Nelson Ebecken And Bayan Hamdan. Large-Scale of Hydrogen Underground Storage in Salt Caverns: The Future of Sustainable Energy Storage, 2023
Bayan Hamdan And Pingfeng Wang. Multi-Fidelity Modeling and Reliability Analysis of Off-Shore Production Wells, 2023
Yanwen Xu, Bayan Hamdan And Pingfeng Wang. Reliability Analysis Using Multi-Fidelity Physics-Informed Machine Learning, 2023
Bayan Hamdan, Zheng Liu, Koki Ho, B\"uy\"uktahtak\in, \.i Esra And Pingfeng Wang. A dynamic multi-stage design framework for staged deployment optimization of highly stochastic systems, Structural And Multidisciplinary Optimization, 2023
Bayan Hamdan And Pingfeng Wang. A new Lagrangian solution scheme for non-decomposable multidisciplinary design optimization problems, Structural And Multidisciplinary Optimization, 2023
Bayan Hamdan. Multifidelity optimization methods for interconnected multidisciplinary systems, 2023
Bayan Hamdan And Pingfeng Wang. Exploring Multi-Fidelity Networks and Adapting their Architecture: A Paradigm for Enhanced Learning and Efficiency
Bayan Hamdan And Pingfeng Wang. Failure Prognostics using Multi-fidelity Graphic Learning for Enhanced Complex System Resilience, 2022
Bayan Hamdan And Pingfeng Wang. Reliability Analysis of Carbon Capture and Storage Systems, 2022
Zhuoyuan Zheng, Yanwen Xu, Bayan Hamdan, Sara Kohtz, Pedro Costa, Alvaro Costa, Carlos Morais And Pingfeng Wang. Reliability-Based Optimization of Offshore Salt Caverns for CO2 Abatement, 2022
Bayan Hamdan And Pingfeng Wang. Bayesian Networks for Reliability Analysis of Partially Observed Systems, 2021
Bayan Hamdan And Pingfeng Wang. Heterogeneous Data Analysis to Enhance Critical Infrastructure Network Resilience, 2020
Bayan Hamdan And Ali Diabat. Robust design of blood supply chains under risk of disruptions using Lagrangian relaxation, Transportation Research Part E: Logistics And Transportation Review, 2020
Bayan Hamdan And Pingfeng Wang. Advanced Inventory Planning for Humanitarian and Disaster Relief Aids, 2019
Bayan Hamdan, Koki Ho And Pingfeng Wang. Staged-deployment optimization for expansion planning of large scale complex systems, 2019
Bayan Hamdan And Ali Diabat. A two-stage multi-echelon stochastic blood supply chain problem, Computers \& Operations Research, 2019
Bayan Hamdan, Sarah Lafi And Noha Hassan. Influence of the open mold manufacturing process parameters on the quality of carbon fiber composite panels produced, 2017
Bayan Hamdan, Sarah Lafi And Noha Hassan. Optimizing the Manufacturing Processes of Carbon Fiber Epoxy Resin Composite Panels, Journal Of Manufacturing Science And Engineering, 2017
Bayan Hamdan. Optimization of Blood Supply Chains with Stochastic Demand and Supply: Formulations and Solution Approaches, 2017

Grants and sponsorships

Grant, Food Supply Chain Resilient Framework: Advancing Monitoring and Mobilization for Disaster Preparedness and Response, Qatar Research Development and Innovation Council, 1 April 2025 - 1 April 2028
Grant, FRG Comprehensive - Uncertainty Quantification for Renewable Energy Applications using Multi-Fidelity Heterogeneous Data, AUS, 1 June 2024 - 31 May 2026

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