Grant #3: SHOR ES (Sand Hazard and Opportunities for Resilience, Energy, and Sustainability) – Research Center
- Project Team: PI: Tarek Abdoun , Co-PIs: Mostafa Mobasher, Kemal Celik, Borja Garcia de Soto, Magued Iskander
- Award date: September 2023 - 5 years
- Grant source: NYUAD Research Institute
- Project overview: See the SHORES Website for up to date information.
Grant #2: Artificial Intelligence-Based Real‐Time Quantitative Assessment of Infrastructure Integrity & Resilience
- Project Team: PI:Mostafa Mobasher , Co-PIs:Tarek Abdoun, Borja García de Soto
- Award date: June 2023 - 2 years
- Grant source: Sandooq Al Watan (SWARD)
- Project overview: The project aims to develop machine-learning-powered models for real-time prediction of the mechanical response of civil engineering structures. The project will be conducted in collaboration with major industrial partners in the UAE and the region and will also involve internationally renowned scholars.
Grant #1: Characterization and Modeling of The Capability of Lung Parenchyma to Perform Gas Exchange in Healthy versus Diseased Lungs
- Project Team: Mostafa Mobasher (PI), Rafael Song (Co-PI)
- Award date and period: April 2022 - 1 Year
- Grant source: NYUAD Research Institute
- Project overview: The proposed project aims to investigate the mechanical and gas-exchange processes occurring within lung tissue. The greater goal is to understand better the fundamental differences between the behavior of diseased and healthy lungs from an engineering mechanics standpoint and to contribute the gained knowledge to the scientific and medical community. The planned research will examine the hydromechanical behavior of the lung alveoli, the key gas-exchange components of the lung parenchyma. The proposed scope of work includes the development of a constitutive material model that accounts for fluid-structure interaction and time-dependent processes inside the lung. Experimental investigation will aid the characterization of the alveoli's hydromechanical response. The experiments will involve stretching and inflating an alveoli-like organ-on-a-chip setup constructed using microfabrication techniques. The scope of work also includes investigating the effects of mechanical damage on the alveoli's hydromechanical properties and their ability to perform gas exchange. The resulting computational model would serve as a virtual testing platform to help improve our understanding of lung disease. By incorporating the stochastic nature of real lungs compared to the lung-on-a-chip experimental setup, the model can assist in the development of lung disease treatment and prevention methods.