Faculty Members

مواقع أعضاء هيئة التدريس

كل ما تحتاجه من أستاذك… في مكان واحد

Prof.Mahmoud Hassaballah Mahmoud Ali

Professor College of Computer Engineering & Sciences

Kharj
011-588-8888
mah.ali@psau.edu.sa

Curriculum Vitae
Publications

Education

Doctor of Engineering (D.Eng.), 2011, Graduate School of Science and Engineering, Ehime University, Matsuyama, Japan. Thesis Title: Reliable Facial Features Detection in Gray Scale Images
Master of Science (M.Sc.), 2003, Faculty of Science, South Valley University, Qena, Egypt. Thesis Title: Reducing the Encoding Time of Fractal Image Compression
Bachelor of Science (B.Sc.),1997, Department of Mathematics, Faculty of Science, South Valley University, Qena, Egypt, Very good with honor

Research Interests

Computer Vision
Object detection and recognition
Scene understanding
Vision for robotics
Feature extraction and learning
Facial feature detection
Facial expression recognition
Biometrics Systems
Face recognition
Ear recognition
Multimodal biometric systems
Machine Learning
Deep learning
Image Processing
Image quality assessment
Similarity measures
Image compression
Fuzzy systems applications on image processing
Data Security
Image steganography
Nature-Inspired Optimization Algorithms
Human-Centered Artificial Intelligence

Responsibilities

Associate Editor, Pattern Analysis and Applications
Associate Editor, Journal of Real-Time Image Processing
Associate Editor, IET Image Processing
Editor, The Imaging Science Journal
Associate Editor, Journal of Artificial Intelligence and Technology
Associate Editor, IAES International Journal of Robotics and Automation
Academic Editor, Artificial Intelligence and Applications

Publications

Zhaoguo Li, Xiumei Wei, M. Hassaballah, Yihong Li, and Xuesong Jiang, A deep learning model for steel surface defect detection, Complex & Intelligent Systems, Vol. 10, pp. 885-897, 2024.
M. Khammari, Ammar Chouchane, Abdelmalik Ouamane, Mohcene Bessaoudi, Yassine Himeur, and M. Hassaballah, Multilinear subspace learning for person re-identification-based fusion of high order tensor features, Engineering Applications of Artificial Intelligence, Vol. 128, Article number 107521, pp. 1-10, 2024
A. M. Hafiz, M. Hassaballah, Abdullah Alqahtani, Shtwai Alsubain and Mohamed Abdel Hameed, Reinforcement Learning with an Ensemble of Binary Action Deep Q-Networks, Computer Systems Science and Engineering, Vol. 46, No.3, PP. 2651-2666, 2023
Mohamed Abdel Hameed, Omar A. Abdel-Aleem, and M. Hassaballah, A secure data hiding approach based on least-significant-bit and nature-inspired optimization techniques, Journal of Ambient Intelligence and Humanized Computing, Vol. 14, No.5, pp. 4639-4657, 2023
A.M. Hafiz, R.A. Bhat, and M. Hassaballah, Image classification using convolutional neural network tree ensembles." Multimedia Tools and Applications Vol. 82, No. 5, pp. 6867–6884, 2023
M. Hassaballah, Eman Salem, and Mountasser M.M. Mahmoud, Deep recurrent regression with a heatmap coupling module for facial landmarks detection. Cognitive Computation, 2022
Essam H. Housseina, M. Hassaballah, Ibrahim E. Ibrahim, Diaa S. AbdElminaam, and Yaser M. Wazerya, An automatic arrhythmia classification model based on improved marine predators algorithm and convolutions neural networks. Expert Systems with Applications, Vol. 187, Article number 115936, pp. 1-17, 2022
M. Hassaballah, M. Abdel Hameed, Ali Ismail Awad, and Khan Muhammad, A novel image steganography method for industrial internet of things security, IEEE Transactions on Industrial Informatics, Vol. 17, No.11, pp.7743-7751, 2021
M. Hassaballah, Mourad Ahmed, K. Muhammad, and Shervin Minaee. Vehicle detection and tracking in adverse weather using a deep learning framework, IEEE Transactions on Intelligent Transportation Systems, Vol. 22, No.7, pp. 4230-4242, 2021
Essam H. Houssein, Nabil Neggaz, Mosa E. Hosney, Waleed M. Mohamed, and M. Hassaballah, Enhanced Harris hawks optimization with genetic operators for chemical descriptor selection and compound activities, Neural Computing and Applications, Vol. 33, pp. 13601-13618, 2021
M. Hassaballah, Hammam A. Alshazly, Abdelmgeid A. Ali. Robust local oriented patterns for ear recognition. Multimedia Tools and Applications, Vol. 79, No. 41, pp. 31183–31204, 2020
Essam H. Houssein, Mohammed R. Saad, Fatma A. Hashim, Hassan Shaban, and M. Hassaballah. Lévy flight distribution: A new metaheuristic algorithm for solving engineering optimization problems, Engineering Applications of Artificial Intelligence, Vol. 94, Article number 103731, pp. 1-18, 2020
M. Hassaballah, Mourad Ahmed and Ibrahim M. El-Henawy. Local binary pattern based on-road vehicles detection in urban traffic scene, Pattern Analysis and Applications, Vol. 23, No. 4, pp. 1505-1521, 2020
M. Hassaballah, Abdelraheem M. Aly, and A. Abdelnaim. Interactive fluid flow simulation in computer graphics using incompressible smoothed particle hydrodynamics, Computer Animation and Virtual Worlds, Vol.31, No. 12, e1916, pp. 1-17, 2020
M. Abdel Hameed, M. Hassaballah, Saleh Aly, and Ali Ismail Awad, An adaptive image steganography method based on histogram of oriented gradient and PVD-LSB techniques, IEEE Access, Vol.7, pp. 185189 -185204, 2019
M. Hassaballah and A. Ghareeb. A framework for objective image quality measures based on intuitionistic fuzzy sets. Applied Soft Computing, Vol. 57, pp. 48-59, 2017
M. Hassaballah and Saleh Aly, Face recognition: Challenges, achievements and future directions, IET Computer Vision, Vol. 9, No. 4, pp. 614-626, 2015

To call from inside the university 1200
To call from outside the university 011-588-1200
E-mail pr@psau.edu.sa
To request a service and open a fault report ithelp.psau.edu.sa

Official government website of the Government of the Kingdom of Saudi Arabia

Links to official Saudi websites end with edu.sa

Government websites use the HTTPS protocol for encryption and security.

Prof.Mahmoud Hassaballah Mahmoud Ali

Education

Research Interests

Responsibilities

Publications

Contact the university leaders

Administration of Public Relations and Media

Social

Official government website of the Government of the Kingdom of Saudi Arabia

Links to official Saudi websites end with edu.sa

Government websites use the HTTPS protocol for encryption and security.

Faculty Members

Prof.Mahmoud Hassaballah Mahmoud Ali

Education

Research Interests

Responsibilities

Publications

Administration of Public Relations and Media