# positions[].label
Instructional Associate Professor, Computation, Engineering and Math Sciences

# positions[].organizations[].label
Texas A&M University – San Antonio - (San Antonio, Txas, United States)

# positions[].organizations[].label
Texas A&M University – San Antonio - (San Antonio, Texas, United States)

# positions[].organizations[].parent[].label
Texas A&M Engineering Experiment Station (TEES)

# overview
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.?

# keywords[]
4603 Computer Vision And Multimedia Computation

# keywords[]
9 Industry, Innovation And Infrastructure

# keywords[]
4603 Computer Vision And Multimedia Computation

# keywords[]
Networking And Information Technology R&d (nitrd)

# keywords[]
4903 Numerical And Computational Mathematics

# keywords[]
4603 Computer Vision And Multimedia Computation

# keywords[]
4009 Electronics, Sensors And Digital Hardware

# keywords[]
4.1 Discovery And Preclinical Testing Of Markers And Technologies

# keywords[]
4603 Computer Vision And Multimedia Computation

# keywords[]
4009 Electronics, Sensors And Digital Hardware

# keywords[]
4012 Fluid Mechanics And Thermal Engineering

# keywords[]
4.1 Discovery And Preclinical Testing Of Markers And Technologies

# keywords[]
4009 Electronics, Sensors And Digital Hardware

# educationAndTraining[].organization.label
Mansoura University - (Al Mansurah, Egypt)

# educationAndTraining[].organization.label
Tennessee Technological University - (Cookeville, Tennessee, United States)

# publications[].label
Impact of Sensor Data Glut on Activity Recognition in Smart Environments

# publications[].publisher
Institute of Electrical and Electronics Engineers (IEEE)

# publications[].label
Efficient Image Reconstruction Algorithm for ECT System Using Local Ensemble Transform Kalman Filter

# publications[].publisher
Institute of Electrical and Electronics Engineers (IEEE)

# publications[].label
Dynamic Deployment of Mobile Roadside Units in Internet of Vehicles

# publications[].publisher
Institute of Electrical and Electronics Engineers (IEEE)

# publications[].label
ECT-LSTM-RNN: An Electrical Capacitance Tomography Model-Based Long Short-Term Memory Recurrent Neural Networks for Conductive Materials

# publications[].publisher
Institute of Electrical and Electronics Engineers (IEEE)

# publications[].label
Teaming Up Pre-Trained Deep Neural Networks

# publications[].publisher
Institute of Electrical and Electronics Engineers (IEEE)

# publications[].label
Can People Really Do Nothing? Handling Annotation Gaps in ADL Sensor Data

# publications[].label
Residual Autoencoder Deep Neural Network for Electrical Capacitance Tomography

# publications[].label
Image Reconstruction in Electrical Capacitance Tomography Based on Deep Neural Networks

# publications[].publisher
Institute of Electrical and Electronics Engineers (IEEE)

# publications[].label
Portable electrical capacitive tomography imaging device and method of operation

# publications[].label
Smart Fuzzy Petri Net-Based Temperature Control Framework for Reducing Building Energy Consumption.

# publications[].label
Simulated Annealing with Exploratory Sensing for Global Optimization

# publications[].label
Evolutionary Algorithms Enhanced with Quadratic Coding and Sensing Search for Global Optimization

# publications[].label
Hybrid Spiking Neural Model for Clustering Smart Environment Activities

# publications[].publisher
Institute of Electrical and Electronics Engineers (IEEE)

# publications[].label
Ellipsoidal K-Means: An Automatic Clustering Approach for Non-Uniform Data Distributions

# publications[].label
FPGA Implementation of ECT Digital System for Imaging Conductive Materials

# publications[].label
A nonlinear fuzzy assisted image reconstruction algorithm for electrical capacitance tomography.

# publications[].label
Smart Petri Nets Temperature Control Framework for Reducing Building Energy Consumption.

# publications[].label
Shape Reconstruction Method for Imaging Conductive Materials in Electrical Capacitance Tomography

# publications[].publisher
Institute of Electrical and Electronics Engineers (IEEE)

# publications[].label
Model-Based Hardware-Software Codesign of ECT Digital Processing Unit

# publications[].label
Memory-Based Evolutionary Algorithms for Nonlinear and Stochastic Programming Problems

# publications[].label
Adversarial Resolution Enhancement for Electrical Capacitance Tomography Image Reconstruction.

# publications[].label
Global sensing search for nonlinear global optimization

# publications[].label
Electrical Capacitance Tomography for Conductive Materials

# publications[].label
CGAN-ECT: Tomography Image Reconstruction from Electrical Capacitance Measurements Using CGANs

# publications[].label
CGAN-ECT: Reconstruction of Electrical Capacitance Tomography images from capacitance measurements using Conditional Generative Adversarial Networks

# publications[].label
Impact of emoji exclusion on the performance of Arabic sarcasm detection models

# publications[].label
Image Reconstruction Algorithm Based on PSO-Tuned Fuzzy Inference System for Electrical Capacitance Tomography

# publications[].publisher
Institute of Electrical and Electronics Engineers (IEEE)

# publications[].label
Handling Missing Annotations in Supervised Learning Data

# publications[].label
Application of Electrical Capacitance Tomography for Imaging Conductive Materials in Industrial Processes

# researcherOn[].label
An Environmental-Friendly Intelligent Transportation System by Controlling Traffic and Reducing ‎Congestion in Urban Segments‎

# researcherOn[].awardedBy.label
King Abdulaziz City for Science and Technology - (Riyadh, Saudi Arabia)

# researcherOn[].label
Parallel Meta-Heuristics Toolbox for Continuous Global Optimization‎

# researcherOn[].awardedBy.label
King Abdulaziz City for Science and Technology - (Riyadh, Saudi Arabia)

# researcherOn[].label
An Extended Kalman Filter Image Reconstruction Algorithm in Electrical Capacitance Tomography ‎for Monitoring Multi-Phase Flow‎

# researcherOn[].awardedBy.label
Umm al-Qura University - (Mecca, Saudi Arabia)

# researcherOn[].label
Wireless Portable Tomography (WiPot) System for Monitoring the Multi-Phase Flow in Oil-Gas ‎Pipelines‎

# researcherOn[].awardedBy.label
King Abdulaziz City for Science and Technology - (Riyadh, Saudi Arabia)

# researcherOn[].awardedBy.preferredLabel
National Science, Technology and Innovation Plan, King Abdul-Aziz City for Science and Technology, ‎

# organizations[]
Texas A&M University – San Antonio - (San Antonio, Txas, United States)

# organizations[]
Texas A&M University – San Antonio - (San Antonio, Texas, United States)

# organizations[]
Texas A&M Engineering Experiment Station (TEES)

# schools[]
Texas A&M Engineering Experiment Station (TEES)