University of Anbar - Khaled Shaker Jassem

Staff Portal

Khaled Shaker Jassem (Assistant Professor)

PhD in Artificial intelligence
Head of Information Systems Department
Computer Science - Computer Sciences and IT
khalidalhity@uoanbar.edu.iq

Biography

Khalid Shaker obtained his BSc in Computer Science from Technology University, Iraq and his MSc specializing in Computer Science from University of Anbar, Iraq. He did his PhD in Computer Science at University Kebangsaan Malaysia (UKM), Malaysia. Khalid joined University Kebangsaan Malaysia (UKM) on February 2011 as a Post-Doctorate Fellow. He joined the top university of Malaysia which is University of Malaya (UM) on February 2012 as a lecturer at Software Engineering Department of Faculty of Computer Science and Information Technology. He was an Assistant Professor at College of Information Technology at Ahlia University in the Kingdom of Bahrain till 2014. Currently, he is an associate professor at College of Computer Science and Information Technology, Anbar University, Iraq. His research interest falls under Artificial Intelligence with and Operation Research, particularly in Meta-Heuristic Algorithms in Optimization and Multimedia Data Mining area that involves different real world applications and optimization problems, such as timetabling and multimedia data mining tasks

Publication

• 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. • Salman, K. A., Shaker, K., & Al-Janabi, S. (2023). Fake Colorized Image Detection Approaches: A Review. International Journal of Image and Graphics, 23(06), 2350050. • 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, 22(03), 2350018. • 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. • 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. • 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. • Cheng, L., Wu, C., Zhang, Y., Wu, H., Li, M., & Maple, C. (2022). A survey of localization in wireless sensor network. International Journal of Distributed Sensor Networks, 8(12), 962523. • Radam, N. S., Al-Janabi, S., & Shaker, K. (2022). Optimisation Methods for the Controller Placement Problem in SDN: A Survey. •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. • Dawood, O., Hammadi, O., Shaker, K., & Khalaf, M. (2020). Multi-dimensional cubic symmetric block cipher algorithm for encrypting big data. • 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. • 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. • 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. • 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 • 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. • Salman, K. A., Shaker, K., & Stephan, J. J. (2019). Speaker Recognition Using Deep Neural Networks with Combine Feature Extraction Techniques. • 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. • 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. • Khalid Shaker and Yaqeen Saad. Support Vector Machine and Back Propagation Neural Network Approach for Text Classification. Journal of University of Human development. 2017. • Khalid Shaker. Hybrid Arabic-English Machine Translation to Solve Reordering and Ambiguity Problems. Journal of University of Human development. Vol (1), No. 4. 2015. • 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). • 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). • 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). • 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). • 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 • Alqudsi Arwa, 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. • 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) • 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). • 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). • 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.

Lectures

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