Deabes, Wael TEES Researcher at TAMU-San Antonio

Wael Deabes has made significant contributions to the field of electrical tomography systems and the ?application of artificial intelligence (AI) in enhancing these systems. His work also extends to the ?development of smart cities, integrating advanced technologies to create more efficient and ?sustainable urban environments. Below is an overview of his research in these areas:?

Electrical Tomography (ET) is a non-invasive imaging technique used to visualize the interior ?conductivity distribution of an object. Wael Deabes' research in this field includes:?

?1. Developing and optimizing ET systems to improve image resolution and accuracy. His work often ?involves the design of sensor arrays and the enhancement of data acquisition systems.?

?2. Addressing the inverse problem in ET, which involves reconstructing an image from boundary ?measurements. Deabes has contributed to the development of robust algorithms that improve the ?quality and reliability of these reconstructions.?

?3. Applying ET to various industrial processes, such as monitoring the integrity of pipelines.?

?4. Utilizing machine learning algorithms to enhance the reconstruction process in ET. ?

?5. Data Analysis and Pattern Recognition

?6. Implementing AI-driven methods for real-time processing of ET data, enabling faster and more ?accurate monitoring and diagnostics in industrial applications.?

Wael Deabes' research extends to the development of smart cities, focusing on the integration of ?advanced technologies to create more efficient, sustainable, and livable urban environments. His ?contributions in this area include:?

?1. Designing and implementing smart infrastructure systems that utilize sensors, IoT devices, and AI to ?monitor and manage urban resources such as electricity, water, and transportation.?

?2. Energy Management**: Optimize energy consumption, and enhance grid reliability. His work in this ?area often involves the use of AI and machine learning to predict energy demand and manage supply.?

?3. Applying data analytics and AI to improve urban planning and mobility. This includes the ?development of intelligent transportation systems that reduce traffic congestion, enhance public ?transportation, and promote sustainable mobility solutions.?