·        Courses Teaching:

·        TM355 Communications Technology

·        TM103 Computer Organization & Architecture

·        TM170 Computing Essentials

·        MT132 Linear Algebra

·        MT101 General Mathematics

·        TM111 Introduction to Computing and Information Technology-1

·       T216 A Cisco Networking (CCNA) part A

·    T216 B Cisco Networking (CCNA) part B

·         TM 109 .Net Programm

·         T321 Operating System Server Administration

·        ITC309 Industrial Training Course

·         TM471 I Graduation Project Part 1

·         GR100 Computer & Internet Skills

•      IT100 Foundation Information Technology
• TM 358 Artificial Intelegent
• TM 112 Introduction for Information and technology  

1.         Hishamuddin, A. N., Habaebi, M. H., Islam, M. R. & Al-Hussaini, M. A. Agentic AI Automation Framework for Computer Network Monitoring and Management. Network vol. 6 87 at https://doi.org/10.3390/network6040087 (2026).

2.         Razali, F. A., Habaebi, M. H. & Al-Hussaini, M. A. Hybrid Watermarking and Adaptive Misinformation for Protection Against AI Model Extraction in Edge-Deployed Cyber-Physical Security. Network vol. 6 73 at https://doi.org/10.3390/network6030073 (2026).

3.         Mahfouz, A., Al Husaini, M. A., Ismaeel, A. A. K. & Al Husaini, Y. A Multi-Seed Analysis of Adversarial Vulnerability in BiLSTM Continuous Authentication. Future Internet vol. 18 332 at https://doi.org/10.3390/fi18060332 (2026).

4.         Izram, A. I., Habaebi, M. H. & Al-Hussaini, M. A. AI-Enhanced Anomaly Detection in Water Treatment Plants. Electronics vol. 15 4102 at https://doi.org/10.3390/electronics15184102 (2026).

5.         Haddad, A., Habaebi, M. H. & Al-Hussaini, M. A. Patient-Centric Blockchain-Governed EHR Sharing Framework for Secure Digital Radiography Sensor Data and AI-Assisted Chest X-Ray Screening. Applied Sciences vol. 16 9851 at https://doi.org/10.3390/app16199851 (2026).

6.         Mahfouz, A., Abdulla, M., Al, S. & Ismaeel, A. A. K. A Multi-Seed Analysis of Adversarial Vulnerability in BiLSTM Continuous Authentication. 1–26 (2026).

7.         Azzahrah, F. & Habaebi, M. H. Hybrid Watermarking and Adaptive Misinformation for Protection Against AI Model Extraction in Edge-Deployed Cyber-Physical Security. 1–20 (2026).

8.         Ihsan, A., Izram, A., Habaebi, M. H. & Al-hussaini, M. A. S. AI-Enhanced Anomaly Detection in Water Treatment Plants. 1–23 (2026).

9.         Haddad, A. & Habaebi, M. H. Patient-Centric Blockchain-Governed EHR Sharing Framework for Secure Digital Radiography Sensor Data and AI-Assisted Chest X-Ray Screening. 1–25 (2026).

10.       Najwan, A., Habaebi, M. H., Islam, R. & Al-hussaini, M. A. S. Agentic AI Automation Framework for Computer Network Monitoring and Management. 1–34 (2026).

11.       Abri, A. R. M. Al, Kharusi, R. M. Al, Husaini, Y. N. Al & Husaini, M. A. Al. Readiness and Barriers to AI Adoption in Electronic Archiving in Higher Education Institutions in Oman. in 2025 International Conference on Computer and Applications (ICCA) 1–6 (2025). doi:10.1109/ICCA66035.2025.11430963.

12.       Kharusi, R. M. Al, Abri, A. R. M. Al, Husaini, Y. N. Al & Husaini, M. A. Al. A Hybrid CNN–Vision Transformer Architecture for Enhanced Document Understanding in Higher Education Archiving. in 2026 International Conference on Artificial Intelligence, Systems, and Emerging Technologies (ICAISET) 1–7 (2026). doi:10.1109/ICAISET66439.2026.11541437.

13.       Wardi, A. Y. S. M. Al et al. Deep Learning-Automatic Honey Variety Identification. in 2026 IEEE 5th International Multidisciplinary Conference on Engineering Technology (IMCET) 79–83 (2026). doi:10.1109/IMCET69180.2026.11503702.

14.       Rahman, A. et al. Readiness and Barriers to AI Adoption in Electronic Archiving in Higher Education Institutions in Oman. 2025 International Conference on Computer and Applications (ICCA) 1–6 doi:10.1109/ICCA66035.2025.11430963.

15.       Mohammed, R. et al. A Hybrid CNN – Vision Transformer Architecture for Enhanced Document Understanding in Higher Education Archiving. 2026 International Conference on Artificial Intelligence, Systems, and Emerging Technologies (ICAISET) 1–7 doi:10.1109/ICAISET66439.2026.11541437.

16.       Yaqeen, A., Mohammed, S., Wardi, A., Abdullah, M. & Al, S. Deep Learning-Automatic Honey Variety Identification. 2026 IEEE 5th International Multidisciplinary Conference on Engineering Technology (IMCET) 79–83 (2026) doi:10.1109/IMCET69180.2026.11503702.

17.       Husaini, M. A. S. Al, Habaebi, M. H. & Islam, M. R. Smartphone applications in breast cancer detection. (2025).

18.       Husaini, M. A. S. Al, Habaebi, M. H., Husaini, Y. N. Al, Abdulghafor, R. & Abrar, M. Color Space Effects on Visual Feature Learning in Breast Cancer Detection. in 2025 IEEE International Conference on Computing (ICOCO) 380–384 (2025). doi:10.1109/ICOCO67189.2025.11334098.

19.       Husaini, M. A. S. Al, Habaebi, M. H., Husaini, Y. N. Al, Abdulghafor, R. & Abrar, M. Evaluating Color Space in Thermography for Enhanced Breast Cancer Detection Using Deep Learning. in 2025 IEEE 11th International Conference on Smart Instrumentation, Measurement and Applications (ICSIMA) 150–153 (2025). doi:10.1109/ICSIMA66552.2025.11233581.

20.       Husaini, M. A. S. Al, Habaebi, M. H., Husaini, Y. N. Al, Abdulghafor, R. & Abrar, M. Evaluating Color Space in Thermography for Enhanced Breast Cancer Detection Using Deep Learning. 8–11 (2025).

21.       Hinai, T. A. M. AL, Juma Al Kulaibi, Husaini, M. A. S. Al, Husaini, Y. N. Al & Habaebi, M. H. Deep Learning-Based Recommendation System to Address Challenges in Providing Electronic Services. 2025 10th International Conference on Computer and Communication Engineering (ICCCE) Deep (2025).

22.       Husaini, M. A. S. Al, Mahfouz, A. M., Abrar, M., Husaini, Y. N. Al & Habaebi, M. H. Deep Learning-Based Early Detection of Retinopathy of Prematurity from Retinal Images of Preterm Infants. 2025 10th International Conference on Computer and Communication Engineering (ICCCE) 1–5 (2025).

23.       Mohammed A.S. Al Husaini;, Habaebi;, M. H. & Islam, M. R. Smartphone applications in breast cancer detection. in IoT-WSN-DT Based Medical Systems and Nanotechnology for Smart Cancer Care 1–556 (Elsevier Ltd., 2025). doi:10.1016/C2023-0-51483-1.

24.       Abdulla, M. et al. BioMed Research International Evaluating the Effect of Noisy Thermal Images On the Detection of Early Breast Cancer Using Deep Learning. Advances in Artificial Intelligence and Machine Learning 5, 3923–3953 (2025).

25.       Husaini, M. A. S. Al, Husaini, Y. N. Al & Habaebi, M. H. Detecting Digital Audio Drugs Using Deep learning. 2024 IEEE International Conference on Computing, ICOCO 2024 452–456 (2024) doi:10.1109/ICOCO62848.2024.10928181.

26.       Abrar, M. et al. AI-Powered Learning Pathways: Personalized Learning and Dynamic Assessments. International Journal of Advanced Computer Science and Applications 16, 454–462 (2025).

27.       Husaini, M. A. S. Al & Hussain, S. A. Fuzzy based steganalysis pattern discovery for high accuracy. Advances in Intelligent Systems and Computing vol. 760 (Springer Singapore, 2019).

28.       Al Husaini, M. A. S., Habaebi, M. H., Islam, M. R. & Gunawan, T. S. Self-detection of early breast cancer application with infrared camera and deep learning. Electronics (Switzerland) 10, (2021).

29.       Muhaisen, N. A. N. et al. Techno-economic feasibility analysis of Kuwait-speci fi c lighting system. Energy Exploration & Exploitation (2023) doi:10.1177/01445987231197686.

30.       Abdulla, M. & Al, S. Utilizing Deep Learning for the Real-Time Detection of Breast Cancer through Thermography. IEEE Conference on Computer Vision and Pattern Recognition 0–3 (2023).

31.       Al Husaini, M. A. S. et al. Thermal-based early breast cancer detection using inception V3, inception V4 and modified inception MV4. Neural Computing and Applications 34, 333–348 (2022).

32.       Automatic Breast Cancer Detection Using Inception V3 in Thermography.

33.       Husaini, M. A. S. Al, Habaebi, M. H., Gunawan, T. S., Islam, M. R. & Hameed, S. A. Automatic Breast Cancer Detection Using Inception V3 in Thermography. 2021 8th International Conference on Computer and Communication Engineering (ICCCE) Automatic 31–34 (2021) doi:10.1109/ICCCE50029.2021.9467231.

34.       Abdulla, M., HABAEBI, M. H., HAMEED, S. A., ISLAM, M. R. & TEDDY SURYA GUNAWAN. A Systematic Review of Breast Cancer Detection Using Thermography and Neural Networks. IEEE Access 8, 208922–208937 (2020).

35.       AHMED, H. M. A. et al. Artificial intelligence in the study of root and canal anatomy : A comprehensive review on applications , advantages , challenges and future Artificial Intelligence in the Study of Root and Canal Anatomy : A Comprehensive Review on Applications , Advantag. European Endodontic Journal (2025) doi:10.14744/eej.2025.37232.

36.       Al Husaini, M. A. S. et al. Influence of Tissue Thermophysical Characteristics and Situ-Cooling on the Detection of Breast Cancer. Applied Sciences (Switzerland) 13, (2023).

37.       Hajer Sulaiman Nasser Al Wahaibi et al. Self-detection of Diabetic foot ulcer using Thermography and deep learning. 2025 10th International Conference on Computer and Communication Engineering (ICCCE) 227–231 (2025).

38.       Husaini, M. A. S. Al, Habaebi, M. H., Husaini, Y. N. Al, Abdulghafor, R. & Abrar, M. Color Space Effects on Visual Feature Learning in Breast Cancer Detection. 2025 IEEE International Conference on Computing (ICOCO) Color 357–361 (2025).

39.       Abdulla, M. & Al, S. Evaluating the Effect of Noisy Thermal Images On the Detection of Early Breast Cancer Using Deep Learning. 5, 3923–3953 (2025).

40.       Abdulla, M., Al, S., Mohamed, H., Habaebi, H. & Islam, R. Real ‑ time thermography for breast cancer detection with deep learning. Discover Artificial Intelligence (2024) doi:10.1007/s44163-024-00157-w.

41.       Al Husaini, M. A. S. et al. Influence of Tissue Thermophysical Characteristics and Situ-Cooling on the Detection of Breast Cancer. Applied Sciences (Switzerland) 13, (2023).