Wael Deabes


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.


Year Name of the award
2019 Distinguishing award for applying E-Learning System, Umm Al-Qura University, 2019.‎
2019 Distinguish recognition for assisting Umm Al-Qura University National Academic ‎Accreditation (NCAAA), 2019.‎
2009 NSBE BCA Scholarship (The award is given to student who demonstrated high ‎scholastic performance, dedicated service to the Society and other organizations, and ‎who possess high professional promise)

Teaching Summary

Year Rank Company/Institute/University
2023-Present Instructional Associate Professor Texas A&M University-San Antonio
2020-2023 Associate Professor Umm Al-Qura University, Saudi Arabia
2010-2020 Assistant Professor Umm Al-Qura University, Saudi Arabia

Classes Observing

Course Code Course Name
ESET-3301 Digital Electronics
ESET-3101 Digital Electronics Lab
ESET-3302 Foundation of Wireless Communication
ESET-3102 Foundation of Wireless Communication Lab


  • 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.

Wael Deabes

College Of Arts And Sciences

Department of Computational, Engineering and Mathematical Sciences

Instructional Associate Prof and ESET program coordinator

STEM 211 K
View CV

Course Teachings

ESET 4203 001 Digital Hardware Design Spring 2024 Syllabus
ENTC 1301 001 Principles of Engineering Tech Spring 2024 Syllabus
ESET 4101 01L Control Systems Lab Spring 2024 Syllabus
ESET 2302 001 Analog Circuits Spring 2024 Syllabus
ESET 4103 01L Digital Hardware Design Lab Spring 2024 Syllabus
ESET 2102 01L Analog Circuits Lab Spring 2024 Syllabus
ESET 4201 001 Control Systems Spring 2024 Syllabus