Areas of Expertise
AI Systems, Robotics, Electronics, Aerospace
Education
Ph.D. in AI Systems and Robotics
Biography
DR. MOHAMMED MAJID AL KHALIDY received his Ph.D. in Electrical and Electronics Engineering from, University of Technology, Iraq, in 2007. Dr. Al Khalidy was a Senior project Engineer in Al- Karama General Company (Aerospace Industrial Company), Iraq, Baghdad, 1997– 2006. He has been a faculty member of the Electrical and Electronics Engineering Department, the University of Bahrain since 2014. He has extensive industrial experience in the field of Aerospace Electronics and Intelligent Control and Guidance Systems. He participated in many international projects. He is a senior member of professional societies such as IEEE and a life member of the Bahrain Society of Engineers. He has served as a steering committee member, session chair, and a member of the technical program committees for numerous international conferences. He has supervised many master’s students and presented several tutorials. Doctor Al Khalidy has published in prestigious journals and conference proceedings, and he has published a book in the field of robotics. His research interests include AI, Intelligent Systems and Robotics, Image Processing, FPGAs, Embedded Systems and SOC, Aerospace Control and Guidance Systems, Systems Modeling, Water treatment, and Sustainable Energy
Achievements
Outstanding Faculty Award, 2024-2025
Affiliations
IEEE, Senior member
The Bahrain Society of Engineers, Life Member
Grants & Contracts Awarded
-
Publications & Presentations
A part of publications:
- M. H. Abdulameer, M. Z. Abdullah2, A. K. Jassim, M. M. M. Al Khalidy, “A Hybrid for Analyzing Text Streaming Using Data Mining and Machine Learning Techniques,” Journal of Engineering and Sustainable Development, Volume 28, No.5, 2024. https://doi.org/10.31272/jeasd.28.5.13
- M. Z. Abdullah; A. K. Jassim; F. N. Hummadi; M. M. M. Al Khalidy, “New Strategies for Improving Network Security Against Cyber Attack Based on Intelligent Algorithms,” Journal of Engineering and Sustainable Development, Volume 28, No.3, 2024. https://doi.org/10.31272/jeasd.28.3.4
- Abdulaziz Sami Qambar and Mohammed Majid AlKhalidy, “Development of Local & Global Wastewater Biochemical Oxygen Demand Real Time Prediction Models Using Supervised Machine Learning Algorithms,” Elsevier, Engineering Applications of Artificial Intelligence, Volume 118, February 2023, 105709, 2023.
https://doi.org/10.1016/j.engappai.2022.105709
- Abdulaziz Sami Qambar and Mohammed Majid AlKhalidy, “Prediction of municipal wastewater biochemical oxygen demand using machine learning techniques: A sustainable approach,” Elsevier, Process Safety and Environmental Protection, Volume 168, December 2022, Pages 833-845
https://doi.org/10.1016/j.psep.2022.10.033
- Abdulaziz Sami Qambar and Mohammed Majid AlKhalidy, “Optimizing Dissolved Oxygen Requirement and Energy Consumption in Wastewater Treatment Plant Aeration Tanks Using Machine Learning,” Elsevier, Journal of Water Process Engineering, Volume 50, December 2022, 103237.
https://doi.org/10.1016/j.jwpe.2022.103237
- Mohamad Zafar Iqbal Badar and Mohammed Majid M. Al Khalidy, “Secure Energy Transactions in Smart Grids Using Blockchain and Machine Learning,” 2nd International Conference on Artificial Intelligence, Blockchain, and Internet of Things (AIBThings), Central Michigan University, USA , September 07-08, 2024.
DOI: 10.1109/AIBThings63359.2024.10863064
https://ieeexplore.ieee.org/document/10863064
- Farah Shaheen and Mohammed Majid M. Al Khalidy, “Wind Turbine Fault Detection and Diagnosis Using Machine Learning Techniques,” 8th IET Smart Cities Symposium, 2024
https://doi.org/10.1049/icp.2025.0824
- Arwa Alenezi and Mohammed Majid M. Al Khalidy, “Comparative Analysis of Prediction Techniques in Metal 3D Printing Using Machine Learning,” 8th IET Smart Cities Symposium, 2024
https://doi.org/10.1049/icp.2025.0827
Book Chapters:
- Mohammad Majid M. AL-Khalidy, Fatma Abdulnabi Al-attar, “Step by Step Modeling and Tuning for Fuzzy Logic Controller”, This article assigned and published by Springer-Verlag Berlin Heidelberg as a Chapter in Lecture Notes in Electrical Engineering, Springer, Volume 132, 2011, Informatics in Control, Automation and Robotics, Vol. 1 pp 81-92, 2011.
https://link.springer.com/book/10.1007/978-3-642-25899-2
- Mohammed Majid M. Al-Khalidy, Bilal Mahmoud Al-kowaif, Deyaa Sayel Al-Dababseh, Akram Talal Al-Najjar, and Ahmed Mohammed Majid Al-Khalidy, “Fire Detection and Fire-Fighting Drone Using Deep Learning Technique ,” Book Chapter, Springer, Innovation and Intelligent Digital Technologies. Book, Vol 1. 2024
https://link.springer.com/book/10.1007/978-3-031-70399-7?sap-outbound-id=2FA72BE1832D9AFBBBE536597EC2BE66D4AB92E9
- Mohammed Majid M. Al-Khalidy, Ahmed Mohammed Majid Al Khalidy, “Deep Learning and Internet of Things for Intelligent Reservation and Gate Control ,” Book Chapter, Springer, Innovation and Intelligent Digital Technologies. Book, Vol 1. 2024
https://link.springer.com/book/10.1007/978-3-031-70399-7?sap-outbound-id=2FA72BE1832D9AFBBBE536597EC2BE66D4AB92E9
Book:
- Mohammad Majid M. AL-Khalidy, Rami A. Mahir, Mohammed Zeki Al-Faiz, “Wheeled Mobile Robot”, Book, Lambert Academics Publishing GmbH & Co. KG, Germany, 2012.
https://www.amazon.com/Wheeled-Mobile-Robot-Implementation-Intelligent/dp/3659106798
