Dr. Tarik Ahmed Rashid
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Dr. Tarik Ahmed Rashid

Professor
University of Kurdistan Hewler, Erbil, Iraq

Highest Degree
PostDoc Fellow in Computer Science and Informatics from University College Dublin, Ireland

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Biography

Dr. Tarik Ahmed Rashid is a professor in the Department of Computer Science and Engineering at the University of Kurdistan Hewlêr (UKH), Iraq. He pursued his Post-Doctoral Fellowship at the Computer Science and Informatics School, College of Engineering, Mathematical and Physical Sciences, University College Dublin (UCD), Ireland. His areas of research cover the fields of Artificial Intelligence.

Area of Interest:

Computer Sciences
100%
AI Applications
62%
Machine Learning
90%
Software Engineering
75%
Computer Vision
55%

Research Publications in Numbers

Books
1
Chapters
20
Articles
127
Abstracts
5

Selected Publications

  1. Rashid, T.A., B.A. Hassan, A. Alsadoon, S. Qader, S. Vimal, A. Chhabra and Z.M. Yaseen, 2023. Awareness requirement and performance management for adaptive systems: A survey. J. Supercomput. 79: 9692-9714.
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  2. Mohammed, H. and T. Rashid, 2023. FOX: A FOX-inspired optimization algorithm. Appl. Intell., 53: 1030-1050.
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  3. Maaroof, B.B., T.A. Rashid, J.M. Abdulla, B.A. Hassan and A. Alsadoon et al., 2023. Correction: Current studies and applications of shuffled frog leaping algorithm: A review. Arch. Comput. Methods Eng., Vol. 30. 10.1007/s11831-022-09722-x.
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  4. Hasan, N.M., T.A. Rashid, A. Alsadoon, A.S. Qosaeri, L. Abualigah and Z.M. Yaseen, 2023. An enhanced donkey and smuggler optimization algorithm for choosing the precise job applicant. Iran J. Comput. Sci., 6: 233-243.
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  5. Hasan, D.O., A.M. Aladdin, H.S. Talabani, T.A. Rashid and S. Mirjalili, 2023. The fifteen puzzle-a new approach through hybridizing three heuristics methods. Computers, Vol. 12. 10.3390/computers12010011.
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  6. Hamad, R.K. and T.A. Rashid, 2023. A Systematic Study of Krill Herd and FOX Algorithms. Proceedings of the 1st International Conference on Innovation in Information Technology and Business (ICIITB 2022), January 30, 2023, Atlantis Press, 168-186.
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  7. Batchu, R.T., A. Alsadoon, P.W.C. Prasad, R.S. Ali, T.A. Rashid, G. Alsadoon and O.D. Jerew, 2023. A review-based taxonomy for secure health care monitoring: Wireless smart cameras. J. Appl. Secur. Res., 18: 16-48.
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  8. Ahmadianfar, I., B. Halder, S. Heddam, L. Goliatt and M.L. Tan et al., 2023. An enhanced multioperator runge-kutta algorithm for optimizing complex water engineering problems. Sustainability, Vol. 15. 10.3390/su15031825.
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  9. AbdulKarim, H.K. and T.A. Rashid, 2023. Moth-Flame Optimization and Ant Nesting Algorithm: A Systematic Evaluation. Proceedings of the 1st International Conference on Innovation in Information Technology and Business (ICIITB 2022), January 30, 2023, Atlantis Press International BV, 139-152.
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  10. Abdulkhaleq, M.T., T.A. Rashid, A. Alsadoon, B.A. Hassan and M. Mohammadi et al., 2022. Harmony search: Current studies and uses on healthcare systems. Artif. Intell. Med., Vol. 131. 10.1016/j.artmed.2022.102348.
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  11. Abdulhameed, S. and T.A. Rashid, 2022. Child drawing development optimization algorithm based on child's cognitive development. Arab J. Sci. Eng., 47: 1337-1351.
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  12. Rashid, D.N.H., T.A. Rashid and S. Mirjalili, 2021. ANA: Ant nesting algorithm for optimizing real-world problems. Mathematics, Vol. 9. 10.3390/math9233111.
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  13. Rashid, T.A., D.K. Abbas and Y.K. Turel, 2019. A multi hidden recurrent neural network with a modified grey wolf optimizer. PLoS One, Vol. 14. 10.1371/journal.pone.0213237.
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  14. Mohammed, H.M., S.U. Umar and T.A. Rashid, 2019. A systematic and meta-analysis survey of whale optimization algorithm. Hindawi. Comput. Intell. Neurosci., 2019: 1-25.
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  15. Abdullah, J.M. and T.A. Rashid, 2019. Fitness dependent optimizer: Inspired by the bee swarming reproductive process. IEEE Access., 7: 43473-43486.
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  16. Saeed, A.M., T.A. Rashid, A.M. Mustafa, R.A.A.R. Agha, A.S. Shamsaldin and N.K. Al-Salihi, 2018. An evaluation of reber stemmer with longest match stemmer technique in Kurdish Sorani text classification. Iran J. Comput. Sci., 1: 99-107.
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  17. Saeed, A., T.A. Rashid, A. Mustafa, P. Fattah and B. Ismael, 2018. Improving kurdish web mining through tree data structure and porter’s stemmer algorithms. UKH J. Sci. Eng., 2: 48-54.
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  18. Rashid, T.A., P. Fattah and D.K. Awlaa, 2018. Using accuracy measure for improving the training of LSTM with metaheuristic algorithms. Procedia Comput. Sci., 140: 324-333.
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  19. Rashid, T.A. and S.A. Abdulla, 2018. A hybrid of artificial bee colony, genetic algorithm and neural network for diabetic mellitus diagnosing. ARO-Sci. J. Koya Univ., 6: 55-64.
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  20. Rashid, T.A. and A.O. Barznji, 2018. A Virtualized Computer Network for Salahaddin University New Campus of HTTP Services Using OPNET Simulator. In: Online Engineering and Internet of Things, Auer, M. and D. Zutin (Eds.)., Vol. 22, Lecture Notes in Networks and Systems, Springer, Cham, ISBN: 978-3-319-64352-6, pp: 731-740.
  21. Qadir, Q.M., T.A. Rashid, N.K. Al-Salihi, B.Ismael, A.A. Kist and Z. Zhang, 2018. Low power wide area networks: A survey of enabling technologies, applications and interoperability needs. IEEE Access., 6: 77454-77473.
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  22. Jabar, A.L. and T.A. Rashid, 2018. A modified particle swarm optimization with neural network via euclidean distance. Int. J. Recent Contrib. Eng., Sci. IT (iJES), 6: 1-18.
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  23. Ibrahim, G.J., T.A. Rashid and A.T. Sadiq, 2018. Evolutionary DNA computing algorithm for job scheduling problem. IETE J. Res., 64: 514-527.
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  24. Fraser, K., X. Deng, F. Bruno and T.A. Rashid, 2018. Should academic research be relevant and useful to practitioners? The contrasting difference between three applied disciplines. Stud. Higher Edu., 10.1080/03075079.2018.1539958.
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  25. Barznji, A.O., T.A. Rashid and N.K. Al-Salihi, 2018. Computer network simulation of firewall and voIP performance monitoring. iJOE, 14: 4-18.
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  26. Rashid, T.A., D.D. Rashad, H.M. Gaznai and A.S. Shamsaldin, 2017. A Systematic Web Mining Based Approach for Forecasting Terrorism. In: Modeling, Design and Simulation of Systems, Communications in Computer and Information Science, Ali M.M., H. Wahid, N. MohdSubha, S. Sahlan, M.M. Yunus and A. Wahap (Eds.)., Vol. 752, AsiaSim, Springer, Singapore, ISBN: 978-981-10-6463-0, Pages: 727.
  27. Rashid, T.A., A.M. Mustafa and A.M. Saeed, 2017. Automatic Kurdish Text Classification Using KDC 4007 Dataset. In: Advances in Internetworking, Data and Web Technologies, Barolli, L., M. Zhang and X. Wang (Eds.)., Vol. 6, Lecture Notes on Data Engineering and Communications Technologies, Springer, Cham, ISBN: 978-3-319-59463-7, pp: 187-198.
  28. Rashid, T.A., A.M. Mustafa and A.M. Saeed, 2017. A robust categorization system for kurdish sorani text documents. Inf. Technol. J., 16: 27-34.
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  29. Mustafa, A.M. and T.A. Rashid, 2017. Kurdish stemmer pre-processing steps for improving information retrieval. J. Inf. Sci., 44: 15-27.
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  30. Rashid, A.T., 2016. Lecturer performance analysis using multiple classifiers. J. Comput. Sci., 12: 255-264.
  31. Rashid, A., S.M. Abdulla and R.M. Abdulla, 2016. Decision support system for diabetes mellitus through machine learning techniques. Int. J. Adv. Comput. Sci. Appl., 7: 170-178.
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  32. Rashid, A., 2016. Convolutional Neural Networks Based Method For Improving Facial Expression Recognition In: Intelligent Systems Technologies And Applications. Rodriguez, J.M.C., M. Sushmita et al. (Ed.). Springer International Publishing, Switzerland., pp:73-84.
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  33. Rashid, A and S.O. Mohamad, 2016. Enhancement Of Detecting W Icked Website Through Intelligent Methods. In: Security In Computing And Communications. Mueller, P and M.T. Sabuet al (Ed.). Springer, Singapore., pp: 358 -368.
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  34. Rashid, A and L.J. Asia, 2016. Improvement on predicting employee behaviour through intelligent techniques. IET Netw., 5: 136-142.
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  35. Rashid, A and K.A. Niyan, 2016. Student academic performance using artificial intelligence. Zanco J. Pure Appl. Sci., 28: 56-69.
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  36. Rashid, A and A.A. Hawraz, 2016. Lecturer performance system using neural network w ith particle swarm optimization. Comput. Appl. Eng. Educ., 24: 629-638.
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  37. Ibrahim, J., T.A. Rashid and A.T. Sadiq, 2016. Improving DNA computing using evolutionary techniques. Int. J. Adv. Comput. Sci. Appl., 7: 109-121.
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  38. Ibrahim, J., A.R. Tarik and T.S. Ahmed, 2016. Evolutionary DNA computing algorithm for job scheduling problem. IETE J. Res., .
  39. Ahmed, A., A.R. Tarik and T.S. Ahmed, 2016. Face behavior recognition through support vector machines. Int. J. Adv. Comput. Sci. Appl., 7: 101-108.
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  40. Salah, M., A.R. Tarik and M.S. Shareef, 2015. A novel hybrid technique for exchange rate forecasting. J. Zankoi Sulaimani, .
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  41. Rashid, T.A., 2015. Investigation of instructing reforms in databases. Int. J. Sci. Eng., 6: 64-72.
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  42. Rashid, T.A., 2015. Improvement on classification models of multiple classes through effectual processes. Int. J. Adv. Comput. Sci. Appl., 6: 55-62.
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  43. Rashid, T.A., 2015. Classifications performance enhancement for students realization model. J. Zankoi Sulaimani, .
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  44. Ali, M., M.S. Shareef and A.R. Tarik, 2015. Automatic license plate recognition in kurdistan region of iraq (KRI). J. Zankoi Sulaimani, .
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  45. Rashid, A and H.A. Abdul Karim, 2013. Building an adaptive neural fuzzy inference system for revised general test/gross point average problem. Int. J. Emerging Technol. Comput. Appl. Sci., 3: 56-65.
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  46. El Fara, R and R. Tarik, 2013. Suggested strategies for teaching science in kurdish universities using english as a medium of instruction. Int. J. Appl. Nat. Sci., 2: 39-52.
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  47. Azad, A and R. Tarik, 2013. Design an arm robot through prolog programming language. Adv. Rob. Autom., 10.4172/2168-9695.1000104.
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  48. Rashid, T., 2012. Fuzzy logic and neuro fuzzy models for direct current motors. Int. J. Eng. Inventions, 1: 68-75.
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  49. Rashid, T., 2012. Direct current motor using Rbf. Int. J. Adv. Res. Comput. Sci. Software Eng., 2: 71-78.
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  50. Rashid, A and A.A. Haval, 2012. Revised general test/gross point average system via fuzzy logic techniques. J. Comput. Sci. Eng., .
  51. Rashid, T., 2010. Shape recognition through an alternative recurrent network architecture. J. Comput. Sci. Inf. Electr. Eng., 2: 1-10.
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  52. Huang, B.Q., T.M. Kechadi, B. Buckley, G. Kiernan, E. Keogh and T. Rashid, 2010. A new feature set with new window techniques for customer churn prediction in land-line telecommunications. Expert Syst. Appl., 37: 3657 -3665.
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  53. Rashid, T., 2009. Classification of churn and non -churn customers for telecommunication companies. Int. J. Biom. Bioinf., 3: 82-89.
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  54. Rashid, T., 2009. A heterogeneous ensemble network using variants of machine learning. Int. J. Comput. Sci. Network Secur., 9: 335-339.
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  55. Rashid, T., B.Q. Huang, M.T. Kechadi and G. Brian, 2006. Auto regressive recurrent neural network approach for electricity load forecasting. Int. J. Comput. Intell., 3: 36-44.
  56. Huang, B.Q., T. Rashid and M.T. Kechadi, 2006. Multi-Context recurrent neural network for time series applications. Int. J. Comput. Intell., 3: 45-54.
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