البحوث العلمية

Book Chapters

1. Khamees, Muntadher, Abbas Albakry, and Khalid Shaker. "Multi-objective Feature Selection: Hybrid of Salp Swarm and Simulated Annealing Approach." International Conference on New Trends in Information and Communications Technology Applications. Springer, Cham, 2018.
2. Aymen Jalil Abdulelah, Khalid Shaker, Ali Makki Sagheer and Hamid A. Jalab. 2017. A Dynamic Scatter Search Algorithm for Solving Traveling Salesman Problem. 9th International Conference on Robotic, Vision, Signal Processing and Power Applications, Volume 398 of the series Lecture Notes in Electrical Engineering Pp. 117-124.
3. Shaker, K. and Abdullah, S. 2010. Controlling Multi Algorithms Using Round Robin for University Course Timetabling Problem. Database Theory and Application, Bio-Science and Bio-Technology (DTA-2010), Lecture Notes in Computer Scieince, Springer, PP 47-55.

Journals

1. Essa M Namis, Khalid Shaker, Sufyan Al-Janabi (2025). Hybrid Methods for Detecting Face Morphing Attacks, Iraqi Journal for Computer Science and Mathematics, Vol 6, 1, P.12
2. Namis, E. M., Shaker, K., & Al-Janabi, S. (2025). Approach for Detecting Face Morphing Attacks Using Convolution Neural Network. Mesopotamian Journal of Computer Science, 2025, 83-91.
3. Namis, E. M., Jasim, K. S., & Al-Janabi, S. (2024). Face morphing attacks detection approaches: A review. Mesopotamian Journal of Big Data, 2024, 82-101.
4. Adday, B. N., Shaker, K., Salman, I., & Shaker, H. (2025). Parkinson's Disease Detection Using Deep learning approach based on Wearable Sensor-Based Daily Monitoring. Mesopotamian Journal of Artificial Intelligence in Healthcare, 2025, 26-38.
5. Shaker, K., & Alqudsi, A. (2024). Approach for Detecting Arabic Fake News using Deep Learning. Iraqi Journal for Computer Science and Mathematics, 5(3), 1.
6. Farhan, M. H., Shaker, K., & Al-Janabi, S. (2024). Efficient Approach for the Localization of Copy-Move Forgeries Using PointRend with RegNetX. Baghdad Science Journal, 21(4), 1416-1416.
7. Farhan, M. H., Shaker, K., & Al-Janabi, S. (2024). Copy–move forgery detection in digital image forensics: A survey. Multimedia Tools and Applications, 1-33.• Farhan, M. H., Shaker, K., & Al-Janabi, S. (2024). Efficient Approach for the Localization of Copy-Move Forgeries Using PointRend with RegNetX. Baghdad Science Journal, 21(4), 1416-1416.
8. Salman, K. A., Shaker, K., & Al-Janabi, S. (2023). Detection of Fake Colorized Images based on Deep Learning. International Journal of Image and Graphics, 2550002.
9. Salman, K. A., Shaker, K., & Al-Janabi, S. (2023). Fake Colorized Image Detection Based on Special Image Representation and Transfer Learning. International Journal of Computational Intelligence and Applications, 2350018.
10. Hameed, M. A. A. A., Shaker, K., & Khalaf, H. A. (2023, January). Sentiment Classification of Drug Reviews Using Machine Learning Techniques. In 2023 15th International Conference on Developments in eSystems Engineering (DeSE) (pp. 457-462). IEEE.
11. Shaker, K. (2022). Optimizing Sentiment Big Data Classification Using Multilayer Perceptron. Anbar Journal of Engineering Sciences, 13(2), 14-21.
12. Salman, K. A., Shaker, K., & Al-Janabi, S. (2022). Fake Colorized Image Detection Approaches: A Review. International Journal of Image and Graphics, 2350050.
13. Radam, N. S., Al-Janabi, S., & Shaker, K. (2022). Optimisation Methods for the Controller Placement Problem in SDN: A Survey. Webology, 19(1), 3130-3149.
14. Shaker, K. (2022). Optimizing Sentiment Big Data Classification Using Multilayer Perceptron. Anbar Journal of Engineering Sciences, 13(2), 14-21.
15. Dawood, O. A., Hammadi, O. I., Shaker, K., & Khalaf, M. (2020). Multi-dimensional cubic symmetric block cipher algorithm for encrypting big data. Bulletin of Electrical Engineering and Informatics, 9(6), 2569-2577.
16. Qawqzeh, Y. K., Jaradat, G., Al-Yousef, A., Abu-Hamdah, A., Almarashdeh, I., Alsmadi, M., ... & Haddad, F. (2020). Applying the big bang-big crunch metaheuristic to large-sized operational problems. International Journal of Electrical and Computer Engineering, 10(3), 2484.
17. Ihsan Salman, Khalid Mohammed, Khalid Shaker, Hothefa Shaker. (2019). Optimal Capacitor Placement in Radial Distribution System Using Moth Flame Optimization Algorithm. Journal of Southwest Jiaotong University, 54,3.
18. Salman, I., Ucan, O. N., Bayat, O., & Shaker, K. (2018). Impact of Metaheuristic Iteration on Artificial Neural Network Structure in Medical Data. Processes, 6(5), 57.
19. Muntadher Khamees, Abbas Albakry, Khalid Shaker. A New Approach for Features Selection Based on Binary Slap Swarm Algorithm. Journal of Theoretical and Applied Information Technology, 2018.
20. Khalid Shaker and Yaqeen Saad. Support Vector Machine and Back Propagation Neural Network Approach for Text Classification. Journal of University of Human development. 2017.
21. Khalid Shaker. Hybrid Arabic-English Machine Translation to Solve Reordering and Ambiguity Problems. Journal of University of Human development. Vol (1), No. 4. 2015.
22. Khalid Shaker, Salwani Abdullah, Arwa Alqudsi, Hamid Jalab. 2013. Hybridizing Meta-Heuristics Approaches for Solving University Course Timetabling Problems. Rough Sets and Knowledge Technology, Lecture Notes in Computer Science. Sepringer. Volume 8171, pp 374-384. (Listed ISI journals).
23. Arwa Alqudsi, Nazlia Omar & Khalid Shaker. 2014. Arabic machine translation: a survey. Artif Intell Rev. DOI 10.1007/s10462-012-9351-1, pp 1-24. Sepringer, (Q2, IF=1.213) (ISI-Cited).
24. Abdullah S., Shaker K., Shaker, H. 2011. Investigating a Round Robin Strategy over Multi Algorithms in Optimising the Quality of University Course Timetables. International Journal of the Physical Sciences. (Q4, IF=0.55) (ISI-Cited Publication).
25. Abdullah, S., Shaker, K., McCollum, B. and McMullan, P. 2010. Dual Sequence Simulated Annealing with Round-Robin Approach for University Course Timetabling. Evolutionary Computation in Combinatorial Optimization, (EVOCOP-2010), Lecture Notes in Computer Scieince, Springer, PP 1-10 (Listed ISI journals).
26. Abdullah, S., Shaker, K., McCollum, B. and McMullan, P. 2010. Incorporating great deluge with Kempe chain neighbourhood structure for the enrolment-based course timetabling problem. Rough Set and Knowledge Technology (RSKT 2010). Lecture Notes in Artificial Intelligence, Springer,70-77. Listed ISI web science journals.

Conferences

1. Farhan, M. H., Shaker, K., & Al-Janabi, S. (2023, January). Double Dual Convolutional Neural Network (D2CNN) for Copy-Move Forgery Detection. In 2023 15th International Conference on Developments in eSystems Engineering (DeSE) (pp. 439-444). IEEE.
2. Hameed, M. A. A. A., Shaker, K., & Khalaf, H. A. (2023, January). Sentiment Classification of Drug Reviews Using Machine Learning Techniques. In 2023 15th International Conference on Developments in eSystems Engineering (DeSE) (pp. 457-462). IEEE.
3. Nassif, O. S., & Shaker, K. (2021, June). Coronavirus optimization algorithm for breast cancer classification. In 2021 International Conference on Communication & Information Technology (ICICT) (pp. 98-103). IEEE.
4. Arwa Alqudsi, Omar Nazlia, Shaker Khalid. 2019. Hybrid Rules and Statistical Method or Arabic to English Machine Translation. International conference on Computer Applications & Information Security, ICCAIS'2019.
5. Baraa M. Abed, Khalid Shaker, Hamid A. Jalab, Hothefa Shaker, Ali Mohammed Mansoor, Ahmad F. Alwan, Ihsan Salman Al-Gburi.2016. A Hybrid Classification Algorithm Approach for Breast Cancer Diagnosis. IEEE Industrial Electronics and Applications Conference, IEACon 2016 (SCOPUS-Indexed)
6. Khalid Shaker, Salwani Abdullah, Arwa Alqudsi. 2015. Bacteria Swarm Optimisation Approach for Enrolment-Based Course Timetabling Problems. 7th Multidisciplinary International Conference on Scheduling: Theory and Applications (MISTA 2015).
7. Hamid A. Jalab and Khalid Shaker. 2014. Training Neural Networks by Electromagnetic-Like Mechanism Based algorithm. The 3rd International Conference on Quantitative Sciences and Its Applications (ICOQSIA 2014).
8. Ali Mahmood Shakir, Belal Ismail AL-Khateeb, Hamid A. Jalab and Khalid Shaker. 2014. Effect of Neighborhood Structures on Tabu Search Algorithm in Solving University Course Timetabling Problem. The 3rd International Conference on Quantitative Sciences and Its Applications (ICOQSIA 2014).

• Khalid Shaker, Salwani Abdullah and Arwa Hatem. 2012. A Differential Evaluation Algorithm for the University Course Timetabling Problem. The 4th Conference on Data Mining and Optimization (DMO 2012). IEEE.
• Arwa Hatem, Nazlia Omar, Khalid Shaker. Morphological Analysis for Rule based Machine Translation. STAIR'11: International Conference on Semantic Technology and Information Retrieval, IEEE, 28th to 29th June 2011.
• Abdullah, S., Shaker, K., McCollum, B. and McMullan, P. 2010. Dual Sequence Simulated Annealing with Round-Robin Approach for University Course Timetabling. International conferernce in Evolutionary Computation in Combinatorial Optimization, (EVOCOP-2010), PP 1-10. Sepringer (ISI indexed).
• Abdullah, S., Shaker, K., McCollum, B. and McMullan, P. 2010. Incorporating great deluge with Kempe chain neighbourhood structure for the enrolment-based course timetabling problem. International conferrence in Rough Set and Knowledge Technology (RSKT 2010), 70-77. ISI indexed.
• Abdullah, S., Shaker, K., McCollum, B. and McMullan, P.: Construction of Course Timetables Based on Great Deluge and Tabu Search. 8th edition of the Meta-heuristic International Conference (MIC 2009) Hamburg, Sepringer, 2009.
• Shaker, K. Abdullah, S.: Incorporating Great Deluge Approach with Kempe Chain neighbourhood structure for Curriculum-Based Course Timetabling Problem. 2nd conference on Data Mining and Optimization (DMO '09), IEEE, PP 149 – 153, 2009.

Seminars and Social Service

• Introduction to Digital Drugs. 2020.
• The importance of software at medical organizations.
• Using the software to help the deaf to recite Quran.
• 1st National Doctoral Seminar in Artificial Intelligence Technology (CAIT’2010).
• Tutorial Participant at International conference on soft computing and pattern recognation(SoCPaR), Malaka, Malaysia, 2009.
• Data Mining and Optimization workshop, Malaka, Malaysia, 2009.
• Data Mining and Optimization workshop, Seremban, Malaysia, 2009.
• The first seminar 2008 Data Mining and Optimization, Center for Arificial Intelligence(CAIT), FTSM, UKM.
• Ant Colony Optimization Workshop, FTSM, UKM, Malaysia, 2007.
• Seminar Siswazah Kumpulan Pusat Teknology Kecerdasan Buatan(CAIT), FTSM,UKM, Malaysia, 2007.

المحاضرات العلمية

التسلسل	المادة	اسم المحاضرة	المرحلة	التحميل	مشاهدة
1	Operating System	1-C2 CPU Scheduling	الرابعة
2	Operating System	2-C2 Deadlocks	الرابعة
3	Operating System	3-C2 Memory Management	الرابعة
4	Operating System	4-C2 File -System	الرابعة
5	Game program	1-C2- 2D Game programig	الثانية
6	Game program	2-C2- 2D algorithms	الثانية
7	Operating System	References	الرابعة
8	Game program	References	الثانية

الشهادات الاكاديمية

الاشراف

• Harith Husain, Improving Explosive Ordnance Identification using Deep learning algorithms with Augmented Reality. University of Anbar. (Ph.D).
• Omar Hammad Jasim, Advanced Techniques for Fake Hadith Detection. The national University of Malaysia, UKM. Malaysia.  
• Doaa Yaseen Khudhur, Optimization of Machine Learning algorithms for Medical Analysis in Big Data. UNIVERSITI TENAGA NASIONAL, Malaysia .
• Sara Abdulateef Ahmed, Detection of AI- Generated Images Using Deep learning, University of Anbar. (Master).
• Essa Mokana Namis, Face Morphing Attacks Detection Approaches, University of Anbar. (Ph.D).
• SHAHAD FAWZI MOHAMMED, Real-Time Object Recognition Using Deep Learning Techniques. University of Anbar. (Master).
• Khalid Salman. Speech recognition with deep Learning neural networks, University of Anbar. (Ph.D).
• Mahmood Hilalm. Detection and Localization of Splicing and Copy-Move Forgeries in Digital Media. (Ph.D).
• Neamah Aljubory, Multi-Controller Optimization in Software-Defined Networking enabled Clouds. (Ph.D).
• Obaid Salim Nassif. Coronavirus Optimization Algorithm for Breast Cancer Classification. (Master)
• Alaa Ahmed. Swarm algorithms for Mobile Adhoc problems. University of Anbar (Master),   
• Anmar Hameed. Information retrieval model: A social network extraction perspective. University of Anbar (Master).  
• Khalid Salman. Speech recognition with deep Learning neural networks, University of Anbar (Master),  
• Muntadher Khamees. Intelligent Modules for Features Selection in Big Data Classification. University of Information Technology & Communications, Baghdad, Iraq (PhD),
• Ihsan Salman. Meta-Heuristic Algorithms for Medical Data Classifications, Istanbul Kemerburgaz University, Turkey. (Ph.D).
• Yaqeen Saad. Support Vector Machine for web Text Classification. University of Anbar. (Master).
• Hadeel Saleh. Data Mining Approaches for Medical Data Classification. University of Anbar (Master).
• Baraa M. Abed. Hybrid Classification Algorithm Approach for Breast Cancer Diagnosis University of Anbar (Master).
• Aymen Jalil Abdulelah. A Dynamic Scatter Search Algorithm for Solving Traveling Salesman Problem University of Anbar (Master),

اخرى

Seminars and Social Service

• Introduction to Digital Drugs. 2025.
• The importance of software at medical organizations.
• Using the software to help the deaf to recite Quran.
• 1st National Doctoral Seminar in Artificial Intelligence Technology (CAIT’2010).
• Tutorial Participant at International conference on soft computing and pattern recognation(SoCPaR), Malaka, Malaysia, 2009.
• Data Mining and Optimization workshop, Malaka, Malaysia, 2009.
• Data Mining and Optimization workshop, Seremban, Malaysia, 2009.
• The first seminar 2008 Data Mining and Optimization, Center for Arificial Intelligence(CAIT), FTSM, UKM.
• Ant Colony Optimization Workshop, FTSM, UKM, Malaysia, 2007.
• Seminar Siswazah Kumpulan Pusat Teknology Kecerdasan Buatan(CAIT), FTSM,UKM, Malaysia, 2007.