Research And Publications

Selected

• Khaled Tarmissi, Jamal Alsamri, Mashael Maashi, Mashael M. Asiri, Abdulsamad Ebrahim Yahya, Abdulwhab Alkharashi, Monir Abdullah & Marwa Obayya (2025), Multimodal representations of transfer learning with snake optimization algorithm on bone marrow cell classification using biomedical histopathological images, Scientific Reports, 15, pp. 1-22. (2024 SCIE, Q1, IF: 3.9). 

• Sarah A. Alzakari, Mohammad Alamgeer, Abdullah M. Alashjaee, Monir Abdullah, et. al. (2025), Heuristically enhanced multi-head attention based recurrent neural network for denial of wallet attacks detection on serverless computing environment, Scientific Reports, 15, pp. 1-21. (2024 SCIE, Q1, IF: 3.9).

• Monir Abdullah, Hanan Abdullah Mengash, Mohammed Maray, et. al. (2025), Federated learning with Blockchain on Denial-of-Service attacks detection and classification of edge IIoT networks using Deep Transfer Learning model, Computers and Electrical Engineering, 124(Part A), pp. 1-10. (2023 SCIE, Q1, IF: 4.0). 

• Monir Abdullah, Najla I. Al-shathry, Muhammad Swaileh A. Alzaidi, et al. (2025), An integration of corpus applied Linguistics with deep learning for Arabic Spam and Ham Tweets Detection model, Journal of Radiation Research and Applied Sciences, 18(2), pp. 1-12. (2023 SCIE, Q2, IF: 1.7). 

• Monir Abdullah (2024), Artificial Intelligence-Based Framework for Early Detection of Heart Disease Using Enhanced Multilayer Perceptron, Frontiers in Artificial Intelligence, Vol 7, pp. 1-15. (2024 ECIE, Q2, IF:4.7).

• Monir Abdullah (2024), IoT–CDS: Internet of Things Cyberattack Detecting System Based on Deep Learning Models, Computers, Materials & Continua (2024). (2023 SCIE, Q3, IF:1.7).

• Abdullah M., Ebtsam A. Al-Muta’a, Maher A. Sanabani (2019): Integrated MOPSO algorithms for task scheduling in cloud computing, Journal of Intelligent & Fuzzy Systems, Vol. 36, No. 2, pp. 1823-1836. (2023 SCIE, Q4, IF:1.7).

• Abdullah, M., Lu, K., Wieder, P., Yahyapour, R. (2017): A Heuristic-Based Approach for Dynamic VMs Consolidation in Cloud Data Centers, Arabian Journal of Science and Engineering, Vol. 42, No. 8, 3535–3549. (2023 SCIE, Q2, IF:2.6).

• Abdullah, M., Othman, M., Ibrahim, H., Subramaniam, S. (2010): New Optimal Load Allocation for Scheduling Divisible Data Grid Applications, Future Generation Computer Systems, Vol. 26, No. 7, 971-978. (2023 SCIE, Q1, IF: 6.2).

Details

2026

1. Amal Alshardan, Yazeed Alashban, Mohammed Alahmadi, Adel Albshri , Rakan Alanazi, Hanadi  Alkhudhayr, Nujud Aloshban, Monir Abdullah, (2026), Integrative Single‑Cell Multi‑Omics Network Analysis to Elucidate Epigenetic Regulation in Neurodevelopmental Disorders, SLAS Technology, Vol. 37, pp. 1-11. (2024 SCIE, Q2, IF: 3.7).

2. Amani K. Samha, Eatedal Alabdulkreem, Mohammed Aljaafari, Hany Mahgoub, Asma A. Alhashmi, Yaser Abdulaziz Alsahafi, Tawfiq Hasanin, Monir Abdullah, (2026). Edge-refined U-net for multi-task weed detection and segmentation with pixel-level boundary refinement, Alexandria Engineering Journal, Vol. 137, pp. 344-359. (2024 SCIE, Q1, IF: 6.8).

3. Aljorey Alqahtani and Monir Abdullah, A Review on Intrusion Detection Models in Internet of Medical Things (IoMT), International Journal of Advanced Computer Science and Applications, Vol. 17, No. 1, pp. 362-369. 

2025

4. Abdulbasit A Darem, Asma A Alhashmi, Fawaz Alanazi, Tareq M Alkhaldi, Abed Saif Ahmed Alghawli, Khaled M Alalayah, Monir Abdullah. (2025). Optimizing computational efficiency in 6G IoT networks: a multi-agent deep reinforcement learning approach for multi-MEC systems, Journal of Supercomputing, Vol. 81, No. 17. (2024 SCIE, Q3, IF: 2.7).

5. Kholoud Nasser Al Maawi, Monir Abdullah. (2025). A Review on Intrusion Detection Systems for MQTT in IoT Environments, International Journal of Safety & Security Engineering, Vol. 15, No. 8, pp. 1733-1744. (SCOPUS Cited Publication/2024,  Q2).

6. Mashael Maashi, Huda Eltayeb, Mashael M Asiri, Rakan Alanazi, Abdulmohsen Saud Albesher, Eman M Alanazi, Rowida Mohammed Alharbi, Monir Abdullah. (2025). An efficient deep learning-based morphology aware hierarchical mixture of features for tuberculosis screening using segmentation of chest X-ray images, Scientific Reports, vol. 15,  (2024 SCIE, Q1, IF: 3.9)

7. Amal Alshardan, Yazeed Alashban, Mohammed Alahmadi, Adel Albshri , Rakan Alanazi, Hanadi Alkhudhayr, Nujud Aloshban, Monir Abdullah, (2026) Integrative Single‑Cell Multi‑Omics Network Analysis to Elucidate Epigenetic Regulation in Neurodevelopmental Disorders, SLAS Technology, In Press.

8. Amani K. Samha, Eatedal Alabdulkreem, Mohammed Aljaafari, Hany Mahgoub, Asma A. Alhashmi, Yaser Abdulaziz Alsahafi, Tawfiq Hasanin, Monir Abdullah, (2026). Edge-refined U-net for multi-task weed detection and segmentation with pixel-level boundary refinement, Alexandria Engineering Journal, Vol. 137, pp. 344-359.

9. Abdulkarem HM Almawgani, Afiquer Rahman, Aslam Mollah, Monir Abdullah, Yahya Ali Abdelrahman Ali (2025). Highly sensitive square core fiber plasmonic biosensor and Gaussian process regression for RI prediction, Applied Physics B, Vol. 131, No. 12,  (2024 ECIE, Q3, IF: 2.0)

10. Abrar Ali, Norah Hamed, Monir Abdullah (2025), A Review of Ransomware Detection Models for Cybersecurity Driven IIoT in Cloud Environments, International Journal of Advanced Computer Science and Applications, Vol. 16, No. 10, pp. 380-389. (2024 ECIE, Q3, IF: 0.9).

11. Afiquer Rahman, Abdulkarem HM Almawgani, Md Aslam Mollah, Monir Abdullah, et. al. (2025). Dual-channel optical fiber plasmonic sensor and machine learning approach for unknown analyte prediction, vol. 42, no. 11, pp. 2456-2462.  (2024 SCIE, Q3, IF: 3.0).

12. Bilal Shoaib, Anas Bilal, Abdul Hannan Khan, Monir Abdullah, et. al. (2025), An explainable hybrid deep learning framework for precise skin lesion segmentation and multi-class classification, Frontier in Medicine, vol. 12, pp. 1-15. (2024 SCIE, Q1, IF: 3.0). 

13. Mohammed Alghamdi, Jamal Alsamri, Khaled Mohamad Almustafa, Monir Abdullah, et al. (2025). Computer vision assisted deep transfer learning model for accurate grading of renal cell carcinoma from kidney histopathology images, Scientific Reports, Vol. 15, 1-17. (2024 SCIE, Q1, IF: 3.9).

14. Al-Ghamdi, Lama, Al-Sari, Mawada, Abdullah, Monir, and Ahmed, Ghassan (2025). Cryptanalysis In Block Ciphers: A Comprehensive Review and Future Directions. Fusion: Practice and Applications, vol. 21, no. 2, pp. 170-187. (SCOPUS Cited Publication/2024, Q3)

15. Fatimah Alhayan, Monir Abdullah, et al. (2025), Voting-based ensemble classifiers model on ransomware detection for cybersecurity driven iiot in cloud computing infrastructure, Alexandria Engineering Journal, Vol. 129, pp. 1198-1211. (2024 SCIE, Q1, IF: 6.2).

16. Muhammad Abubakar, Ahsan Raza, Arfan Ali Nagra, Anas Bilal, Ahmad Alshammari, Monir Abdull, et al.(2025), ECGNet: High-Precision ECG Classification Using Deep Learning and Advanced Activation Function, IEEE ACCESS, pp. 1-18. (2024 SCIE, Q2, IF: 3.6).

17. Fatimah Alhayan, Asma Alshuhail, Ahmed Omer Ahmed Ismail, Othman Alrusaini, Sultan Alahmari, Abdulsamad Ebrahim Yahya, Monir Abdullah &Samah Al Zanin (2025). Artificial intelligence-driven cybersecurity: enhancing malicious domain detection using attention-based deep learning model with optimization algorithms, Scientific Reports, 15, pp. 1-21. (2024 SCIE, Q1, IF: 3.9).

18. Muhammad Usman Hashmi, Anas Bilal, Muhammad Khurram Ehsan, Monir Abdullah, et el. (2025). Strengthening Collaboration via Interlinked Skew Assessment and Rectification (ISAR) in Swarm Robotics, IEEE ACCESS.   (2024 SCIE, Q2, IF: 3.6).

19. Manal Abdullah Alohali, Hamed Alqahtani, Abdulbasit Darem, Monir Abdullah, et. el. (2025), Integrating cyber-physical systems with embedding technology for controlling autonomous vehicle driving, Peerj Computer Science, 11 (2823).  (2024 SCIE, Q3, IF: 2.5).  

20. Jacob Wekalao, Abdulkarem HM Almawgani, Refka Ghodhbani, Yahya Ali Abdelrahman Ali, Monir Abdullah, Shobhit K Patel (2025), Highly Responsive Graphene-Integrated Metasurface Surface Plasmon Resonance Sensor Augmented with Ag-Au-SiO₂ Nanostructures and Machine Learning for Advanced Biomedical Diagnostics, Springer Nature, Plasmonics. (2024 SCIE, Q2, IF: 4.3). 

21. Monir Abdullah (2025), Optimal Feature Extraction Model for Detecting Cyberattacks on IoT Devices, International Journal of Safety and Security Engineering, IIETA Publisher, 15(3), pp. 405-413. (SCOPUS Cited Publication/2024, Q2)

22. Abdulkarem H. M. Almawgani, Md. Aslam Mollah, Yousif S. Adam, Hussein S. Gumaih & Monir Abdullah (2025), High-Performance Optical Fiber Biosensor for Early Cancer Cell Identification. Springer Nature, Plasmonics. (2023 SCIE, Q2, IF: 3.3). 

23. Khaled Tarmissi, Jamal Alsamri, Mashael Maashi, Mashael M. Asiri, Abdulsamad Ebrahim Yahya, Abdulwhab Alkharashi, Monir Abdullah & Marwa Obayya (2025), Multimodal representations of transfer learning with snake optimization algorithm on bone marrow cell classification using biomedical histopathological images, Scientific Reports, 15, pp. 1-22. (2023 SCIE, Q1, IF: 3.8). 

24. Sarah A. Alzakari, Mohammad Alamgeer, Abdullah M. Alashjaee, Monir Abdullah, et. al. (2025), Heuristically enhanced multi-head attention based recurrent neural network for denial of wallet attacks detection on serverless computing environment, Scientific Reports, 15, pp. 1-21. (2023 SCIE, Q1, IF: 4.0).

25. Monir Abdullah, Hanan Abdullah Mengash, Mohammed Maray, et. al. (2025), Federated learning with Blockchain on Denial-of-Service attacks detection and classification of edge IIoT networks using Deep Transfer Learning model, Computers and Electrical Engineering, 124(Part A), pp. 1-10. (2023 SCIE, Q1, IF: 4.0). 

26. Fatimah Alhayan, Muhammad Kashif Saeed, Randa Allafi, Monir Abdullah, et al. (2025), Hybrid deep learning models with spotted hyena optimization for cloud computing enabled intrusion detection system, Journal of Radiation Research and Applied Sciences, 18(2), pp. 1-12. (2023 SCIE, Q2, IF: 1.7). 

27. Monir Abdullah, Najla I. Al-shathry, Muhammad Swaileh A. Alzaidi, et al. (2025), An integration of corpus applied Linguistics with deep learning for Arabic Spam and Ham Tweets Detection model, Journal of Radiation Research and Applied Sciences, 18(2), pp. 1-12. (2023 SCIE, Q2, IF: 1.7). 

28. Fatimah Alhayan, Nuha Alruwais, Mohammad Alamgeer, Abdullah M. Alashjaee, Monir Abdullah, et al. (2025), Design of advanced intrusion detection in cybersecurity using ensemble of deep learning models with an improved beluga whale optimization algorithm, Alexandria Engineering Journal, Vol. 121, pp. 90-102. (2023 SCIE, Q1, IF: 6.2).

29. Chengzhang Zhu, Ahmed Alasri, Tao Xu, Yalong Xiao, Abdulrahman Noman, Raeed Alsabri, Xuanchu Duan, Monir Abdullah (2025), AMSFuse: Adaptive Multi-Scale Feature Fusion Network for Diabetic Retinopathy Classification, Computers, Materials & Continua. (2023 SCIE, Q3, IF: 1.7).

30. Zaid Derea, Beiji Zou, Xiaoyan Kui, Monir Abdullah, Alaa Thobhani, and Amr Abdussalam (2025), A Novel CAPTCHA Recognition System Based on Refined Visual Attention, Computers, Materials & Continua. (2023 SCIE, Q3, IF:1.7).

31. Dhekra Saeed, Huanlai Xing, Barakat AlBadani, Li Feng, Raeed Al-Sabri, Monir Abdullah, Amir Rehman (2025), MGATAF: multi-channel graph attention network with adaptive fusion for cancer-drug response prediction, BMC journal, 26(1). (2023 SCIE, Q3, IF: 2.9).

32. Hayam Alamro, Mohammed Maray, Jawhara Aljabri, Saad Alahmari, Monir Abdullah et. el. (2025), Mathematical modelling-based blockchain with attention deep learning model for cybersecurity in IoT-consumer electronics, Alexandria Engineering Journal, Vol. 113, pp. 366-377. (2023 SCIE, Q1, IF: 6.2).

2024

33. Monir Abdullah (2024), Artificial Intelligence-Based Framework for Early Detection of Heart Disease Using Enhanced Multilayer Perceptron, Frontiers in Artificial Intelligence, Vol 7, pp. 1-15. (2023 SCIE, Q2, IF:3.0).

34. Babatounde Moctard Oloulade, Jianliang Gao, Jiamin Chen, Raeed Al-Sabri, Zhenpeng Wu, Monir Abdullah (2024), Shapley-Guided Pruning for Efficient Graph Neural Architecture Prediction in Distributed Learning Environments, Information Sciences Journal. (2023 SCIE, Q1, IF: 8.1).

35. Monir Abdullah (2024), IoT–CDS: Internet of Things Cyberattack Detecting System Based on Deep Learning Models, Computers, Materials & Continua (2024). (2023 SCIE, Q3, IF:1.7).

36. Asif, S., Qurrat-ul-Ain, Awais M., Amjad K., Abdullah M. (2024). A deep ensemble learning framework for COVID-19 detection in chest X-ray images. Network Model Anal Health Inform Bioinformatics, Vol. 13, No. 30, pp. 1-25. (SCOPUS Cited Publication, Q2).

37. Sohaib Asif, Qurrat-ul Ain, Raeed Al-Sabri, Monir Abdullah (2024), “LitefusionNet: Boosting the performance for medical image classification with an intelligent and lightweight feature fusion network”, Journal of Computational Science, Vol. 80, pp. 1-41. (2023 SCIE, Q2, IF:3.1).

38. Hessah Alqahtani and Monir Abdullah, (2024), “A Taxonomy of IDS in IoTs: ML Classifiers, Feature Selection Models, Datasets and Future Directions”, International Journal of Advanced Computer Science and Applications, Vol. 15, No. 6, pp. 21-27. (2023 SCIE, Q3, IF:0.7).

39. Ohoud Ali Albishi and Monir Abdullah (2024), “DDoS Attacks Detection in IoV using ML-based Models with an Enhanced Feature Selection Technique, International Journal of Advanced Computer Science and Applications, Vol. 15, No. 2, pp. 814-823. (2023 SCIE, Q3, IF:0.7).

40. Haya Malooh Alqahtani and Monir Abdullah (2024), “A Review on DDoS Attacks Classifying and Detection by ML/DL Models”, International Journal of Advanced Computer Science and Applications”, Vol. 15, No. 2, pp. 824-833. (2023 SCIE, Q3, IF:0.7).

2023

41. Khairan Rajab, Mohammad Tabrez Quasim, Mana Saleh Al Reshan, Adel Rajab, Asadullah Shaikh, and Monir Abdullah (2023), An Internet of Things Enabled Machine Learning Model for Energy Theft Prevention System (ETPS) in Smart Cities, Journal of Cloud Computing, Vol. 12, No. 158. (2023 SCIE, Q2, IF:3.7).

42. Korkoman M. J., Abdullah M. (2023), Evolutionary Algorithms Based Oversampling Techniques for Enhancing the Imbalanced Credit Card Fraud Detection, Journal of Intelligent & Fuzzy Systems, Vol. 44, No. 6, pp. 10311-10323. (2023 SCIE, Q4, IF:1.7).

2022

43. Alshahrni M. M., Ahmad M. A, Abdullah M., Omer N., Aziz M. (2022), An intelligent deep convolutional network based COVID-19 detection from chest X-rays, Alexandria Engineering Journal, Vol. 64, pp. 399-417. (2023 SCIE, Q1, IF:6.2).

44. Ahmad M., Elloumi M., Samak A., Al-Sharafi A., Alqazzaz A., Abdullah M., Iliopoulos C. (2022). Hiding patients’ medical reports using an enhanced wavelet steganography algorithm in DICOM images, Alexandria Engineering Journal, Vol. 61, No. 12., pp. 10577-10592. (2023 SCIE, Q1, IF:6.2)

45. Ghaleb M. , Almurtadha Y., Algarni F., Abdullah M., et. el. (2022). Mining the Chatbot Brain to Improve COVID-19 Bot Response Accuracy, Journal of Computers, Materials & Continua, Vol. 70, No. 2, pp. 2619-2638. (2021 SCIE, Q2, IF:2.0).

2020 - 2010

46. Abdullah M., Ebtsam A. Al-Muta’a, Maher A. Sanabani (2019): Integrated MOPSO algorithms for task scheduling in cloud computing, Journal of Intelligent & Fuzzy Systems, Vol. 36, No. 2, pp. 1823-1836. (2023 SCIE, Q4, IF:1.7).

47. Abdullah M., Al-Kohali I., Othman M. (2019): An Adaptive Bully Algorithm for Leader Elections in Distributed Systems. In: Parallel Computing Technologies. PaCT 2019. Lecture Notes in Computer Science, Vol 11657. Springer. (ISI Cited Publication, IF=0.51).

48. Abdullah, M., Lu, K., Wieder, P., Yahyapour, R. (2017): A Heuristic-Based Approach for Dynamic VMs Consolidation in Cloud Data Centers, Arabian Journal of Science and Engineering, Vol. 42, No. 8, 3535–3549. (2023 SCIE, Q2, IF:2.6).

49. Lu, K., Yahyapour, R., Wieder, P., Yaqub, E., Abdullah, M., Schloera, B., Kotsokalis, C. (2016): Fault-tolerant Service Level Agreement Lifecycle Management in Clouds Using Actor Systems, Future Generation Computer Systems. Vol. 54, No. 1, 247-259. (2023 SCIE, Q1, IF: 6.2).

50. Monir Abdullah, Mohamed Othman (2015): Scheduling Divisible Jobs to Optimize the Computation and Energy Costs, International Journal of Engineering Science Invention, Vol. 4, Issue 2, 27-33.

51. Monir Abdullah, Mohamed Othman (2014): Simulated Annealing Approach to Cost-Based Multi-Quality of Service Job Scheduling in Cloud Computing Environment, American Journal of Applied Sciences, Vol. 11, No. 6, 872-877. (SCOPUS Cited Publication).

52. Monir Abdullah, Othman, M. (2012): An Improved Genetic Algorithm for Job Scheduling in Cloud Computing Environment, Global Journal on Technology, Vol. 2, pp. 291-296.

53. Abdullah, M., Othman, M., Ibrahim, H., Subramaniam, S. (2010): New Optimal Load Allocation for Scheduling Divisible Data Grid Applications, Future Generation Computer Systems, Vol. 26, No. 7, 971-978. (2023 SCIE, Q1, IF: 6.2).

2006-2009

54. Abdullah, M., Othman, M., Ibrahim, H., Subramaniam, S. (2009): Simulated Annealing Algorithm for Scheduling Divisible Load in Large Scale Data Grids, IIUM Engineering Journal, Vol. 10, No. 1, 59-68. (2023 SCIE, Q4, IF: 0.6).

55. Abdullah, M., Othman, M., Ibrahim, H., Subramaniam, S. (2009): Load Allocation Model for Scheduling Divisible Data Grid Applications, Journal of Computer Science, Vol. 5, No. 10, 760-763. (SCOPUS Cited Publication).

56. Abdullah, M., Othman, M., Ibrahim, H., Subramaniam, S. (2009): Closed Form Solution for Scheduling Arbitrarily Divisible Load Model in Data Grid Applications: Multiple Sources, American Journal of Applied Sciences, Vol. 6, No. 4, 626-630. (SCOPUS Cited Publication).

57. Abdullah, M., Othman, M., Ibrahim, H., Subramaniam, S. (2009): New Optimal Load Allocation for Scheduling Divisible Data Grid Applications, Computational Science, Lecture Notes in Computer Science, Springer-Verlag, Berlin Heidelberg New York, Vol. 5544, 165-174. (ISI Cited Publication/2013 Impact Factor: 0.51).

58. Othman, M., Abdullah, M., Ibrahim, H., Subramaniam, S. (2008): A2DLT: Divisible Load Balancing Model for Scheduling Communication-Intensive Grid Applications: Proceedings of the International Conference on Computational Science (ICCS2008), Lecture Notes in Computer Science, Vol. 5101, 498-507. (ISI Cited Publication/2013 Impact Factor: 0.51).

59. Abdullah, M., Othman, M., Ibrahim, H., Subramaniam, S. (2007): An Integrated Approach for Scheduling Divisible Load on Large Scale Data Grids, Proceedings of the 14th International Conference on Computational Science and Its Applications (ICCSA 2014), Lecture Notes in Computer Science, Vol. 4705, 748-757. (ISI Cited Publication/2013 Impact Factor: 0.51).

60. Othman, M., Abdullah, M., Ibrahim, H., Subramaniam, S. (2007): Adaptive Divisible Load Model for Scheduling Data-Intensive Grid Applications: Proceedings of the International Conference on Computational Science (ICCS2007), Lecture Notes in Computer Science, Springer-Verlag, Berlin Heidelberg New York, Vol. 4487, 446-453. (ISI Cited Publication/2013 Impact Factor: 0.51).

61. Abdullah, M., Othman, M. and Johari, R. (2006): An Efficient Approach to Avoid Crosstalk in Optical Omega Network. International Journal of the Computer, Internet and Management, Vol. 14, No. 1, pp. 50-60.

1. Raeed AL-sabri, Jianliang Gao, Jiamin Chen, Babatounde Moctard Oloulade, Zhenpeng Wu, Monir Abdullah, and Xiaohua Hu (2024). M3GNAS: Multi-modal Multi-view Graph Neural Architecture Search for Medical Outcome Predictions, in IEEE BIBM Conference, Lisbon.

2. E. A. Alkohali, M. Algabri and M. Abdullah (2024), Improving the Performance of Bully Algorithm for Leader Election in Distributed Systems,"2024 1st International Conference on Emerging Technologies for Dependable Internet of Things (ICETI), Sana'a, Yemen, pp. 1-7.

3. Souvik Pal, Noor Zaman Jhanjhi, D. Akila, Monir Abdullah, Mamoona Humayun and Sandeep Kumar. (2024). Hybrid Approach towards Da.ta optimization for cloud based IoT Environment, in IEEE ETNCC2024 Conference, Windhoek.

4. Quasim, M. T., Khan, M. A., Abdullah, M., Meraj, M., Singh, S. P., & Johri, P. (2019). Internet of Things for Smart Healthcare: A Hardware Perspective. In2019 1st IEEE ICOICE Confernce, Sana’a.

5. Sorra, F., Othman, M., Hakim, F., Alrshah, M., Abdullah, M., & Saif, A. (2019). Two-Level Frame Aggregation Scheme Under Unreliable Channel Conditions for IEEE 802.11 n WLANs: A Survey. In 2019 1st IEEE ICOICE Conference, Sana’a.

6. Abdullah, M., Othman, M. (2013): Cost-Based Multi-QoS Job Scheduling using Divisible Load Theory in Cloud Computing, Computational Science, Procedia Computer Science, Vol. 18, 928-935. (SCOPUS Cited Publication).

7. Abdullah, M., Othman, M., Ibrahim, H., Subramaniam, S. (2008): A New Load Balancing Scheduling Model in Data Grid Application. 3rd IEEE International Symposium on Information Technology (ITSim2008), Kuala Lumpur, Malaysia, Vol. 1, 1-5.

8. Abdullah, M., Othman, M., Ibrahim, H., Subramaniam, S. (2007): Improved Genetic Algorithm for Scheduling Divisible Data Grid Application, IEEE ICT-MICC Conference, Malaysia, 461-465.

9. Abdullah, M., Othman, M., Johari R. (2006): An Improved Simulated Annealing Algorithm to Avoid Crosstalk in Optical Omega Network. IEEE International Conference on Computing and Informatics (ICOCI06), 1-7.

10. Abdullah, M., Othman, M., Johari, R. (2005): Efficient parallel routing algorithms in optical multistage interconnection network, IEEE MICC-ICON Conference, Vol. 1, 505-509.