Wael Deabes is an Instructional Associate Professor and ESET program coordinator in the Department of Mathematical, Physical, and Engineering Sciences at the Texas A&M, San Antonio. He has his master and PhD in Electrical and Computer Engineering from Mansoura University and Tennessee Technological University in 2003 and 2010, respectively. He has more than 50 conferences and journal publications. His research interests include: Tomography Systems, Intelligent sensing and measurement systems, IoT, Smart Control Systems, Smart Cities,‎ Inverse Theory, Artificial Intelligence and Deep Learning Methods‎, Intelligent Transportation System,  and Global Optimization Algorithms.

 Awards

• Abdelhamid, O. Akinniyi, G. A Saleh, G., W. Deabes, and F. Khalifa, “An Ensemble Neural Architecture for Lung Diseases Prediction Using Chest X-rays”, International Journal of Computing and Digital Systems, Vol. 16, no. 1, pp. 189-198, 2024.
• W. Deabes, Alaa E. Abdel-Hakim, “CGAN-ECT: Reconstruction of Electrical Capacitance Tomography images from capacitance measurements using Conditional Generative Adversarial Networks,” Flow Measurement and Instrumentation, Vol. 96, pp. 102566, 2024.
• W. Deabes, K.E. Bouazza, W. Algthami, “Smart Fuzzy Petri Net-Based Temperature Control Framework for Reducing Building Energy Consumption.”, Sensors, Vol. 23, pp. 5985, 2023. https://doi.org/10.3390/s23135985
• W. Deabes, K. E. Bouazza, “Residual Autoencoder Deep Neural Network for Electrical Capacitance Tomography”. Computers, Materials & Continua, vol. 73, no. 3, pp. 6307--6326, 2022. https://doi.org/10.32604/cmc.2022.030420
• W. Deabes, A. E. Abdel Hakim, K. E. Bouazza, H. Althobaiti, “Adversarial Resolution Enhancement for Electrical Capacitance Tomography Image Reconstruction”. Sensors, vol. 22, no. 9, pp. 3142, 2022  https://doi.org/10.3390/s22093142
• W. Deabes, K. M. J. Khayyat, “Image Reconstruction in Electrical Capacitance Tomography Based on Deep Neural Networks”, IEEE Sensors Journal, 2021.
• R. Hedar, W. Deabes, H. H. Amin, M. Almaraashi, M. Fukushima, “Global sensing search for nonlinear global optimization”, Journal of Global Optimization, pp. 1-50, 2021.
• W. Deabes, A. Sheta, M. Braik, “ECT-LSTM-RNN: An Electrical Capacitance Tomography Model-Based Long Short-Term Memory Recurrent Neural Networks for Conductive Materials”, IEEE Access 9, pp. 76325-76339, 2021.
• A. Allam, W. Deabes, “Model-Based Hardware-Software Codesign of ECT Digital Processing Unit”, Modelling and Simulation in Engineering, 2021.
• W. Deabes, K. E. Bouazza, “Efficient Image Reconstruction Algorithm for ECT System Using Local Ensemble Transform Kalman Filter”, IEEE Access 9, pp.12779-12790, 2021.
• W. Deabes, H. H. Amin, “Image reconstruction algorithm based on PSO-tuned fuzzy inference system for electrical capacitance tomography”, IEEE Access 8, pp. 191875-191887, 2020.
• Almarashi, W. Deabes, H. H. Amin, A. R. Hedar, “Simulated Annealing with Exploratory Sensing for Global Optimization”, Algorithms 13 (9), 230, 2020.
• R. Hedar, W. Deabes, M. Almaraashi, H.H. Amin, “Evolutionary Algorithms Enhanced with Quadratic Coding and Sensing Search for Global Optimization”, Mathematical and Computational Applications, vol. 25, Issue 7, 2020.