Research Grants

Grant #3:  SHORES (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.

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Grant #2: Artificial Intelligence Based Real‐Time Quantitative Assessment of Infrastructure Integrity & Resilience 

• Project Team: PI:Mostafa Mobasher , Co-PIs:Tarek Abdoun, Borja Garcia 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 the real-time prediction of the mechanical response of civil engineering structures.  The project will be performed in collaboration with major industrial partners in the UAE and the region, and it will also feature collaboration with internationally renowned scholars.

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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 at the investigation of the mechanical and gas-exchange processes occurring inside the lung tissue. The greater goal is to better understand the fundamental differences between the behavior of the diseased and healthy lungs from an engineering mechanics standpoint and contribute the gained knowledge to the science and medicine community. The planned research will look into the hydromechanical behavior of the lung alveoli, which are 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 hydromechanical response. The experiments will involve stretching and inflation of an alveoli-like organ-on-a-chip setup that will be constructed using the microfabrication technique. The scope of work also includes the investigation of the effects of mechanical damage on the alveoli hydromechanical properties and their ability to perform gas exchange. The resulting computational model would serve as a virtual testing platform that will help improve our understanding of lung disease. With the inclusion of the stochastic nature of real lungs compared to the lung on a chip experimental setup, the model can assist the development of lung disease treatment and prevention methods.