TechRxiv

Tarik A. Rashid

Professor Dr. Tarik Ahmed Rashid received his Ph.D. in Computer Science and Informatics degree from College of Engineering, Mathematical and Physical Sciences, University College Dublin (UCD) in 2001-2006. He pursued his Post-Doctoral Fellow at the Computer Science and Informatics School, College of Engineering, Mathematical and Physical Sciences, University College Dublin (UCD) from 2006-2007. He Joined the University of Kurdistan Hewlêr (UKH) as in 2017.

Publications

  • Shamsaldin, A., Fattah, P., Rashid, T., & Al-Salihi, N. (2019, December 27). The Study of The Convolutional Neural Networks Applications. UKH Journal of Science and Engineering, 3(2), 31-40. https://doi.org/10.25079/ukhjse.v3n2y2019.pp31-40
  • Hassan, Bryar; Rashid, Tarik (2019), “Data for: statistical analysis and performance evaluation of backtracking search optimisation algorithm compared with its competitive algorithms ”, Mendeley Data, v3, http://dx.doi.org/10.17632/hx8xbyjmf5.3
  • Chnoor M. Rahman and Tarik A. Rashid (2019). Dragonfly Algorithm and Its Applications in Applied Science Survey, Computational Intelligence and Neuroscience, Hindawi. Volume 2019, Article ID 9293617, 21 pages. https://doi.org/10.1155/2019/9293617
  • Bryar A. Hassan and Tarik A. Rashid (2019). Operational framework for recent advances in backtracking search optimisation algorithm: A systematic review and performance evaluation. Applied Mathematics and Computation. 124919, DOI: https://doi.org/10.1016/j.amc.2019.124919
  • Muhammed, D.A., Saeed, S.A.M., Rashid, T.A. (2019). A simulation model for pedestrian crowd evacuation based on various AI techniques. Revue d'Intelligence Artificielle, Vol. 33, No. 4, pp. 283-292. https://doi.org/10.18280/ria.330404
  • Danial Muhammed, Soran Saeed, Tarik A. Rashid (2019). A Comprehensive Study on Pedestrians’ Evacuation, International Journal of Recent Contributions from Engineering, Science & IT (iJES), Vol. 7, No. 4. 10.3991/ijes.v7i4.11767
  • Goli Arji, Hossein Ahmadi, Mehrbakhsh Nilashi, Tarik A. Rashid , Omed Hassan Ahmed, Nahla Aljojo , Azida Zainol (2 0 1 9). Fuzzy logic approach for infectious disease diagnosis: A methodical evaluation, literature and classification, Biocybernetics and Biomedical Engineering, 3 9 (4) 9 3 7 – 9 5 5; https://doi.org/10.1016/j.bbe.2019.09.004
  • Mehrbakhsh Nilashi, Parveen Fatemeh Rupani, Mohammad Mobin Rupani, Hesam Kamyab, Weilan Shao, Hossein Ahmdi, Tarik A. Rashid, Nahla Aljojo, (2019). Measuring sustainability through ecological sustainability and human sustainability: A machine learning approach, Journal of Cleaner Production, Volume 240, 10 December 2019, 118162, https://doi.org/10.1016/j.jclepro.2019.118162
  • Mehrbakhsh Nilashi, Sarminah Samad, Azizah Abdul Manaf, Hossein Ahmadi, Tarik A. Rashid, Asmaa Munshi, Wafa Almukadi, Othman Ibrahim, Omed Hassan (2019). Factors influencing medical tourism adoption in Malaysia: A DEMATEL-Fuzzy TOPSIS approach, Computers & Industrial Engineering, Volume 137, November 2019, 106005. https://doi.org/10.1016/j.cie.2019.106005
  • Naser Rostamnia and Tarik A.Rashid (2019). Investigating the effect of competitiveness power in estimating the average weighted price in electricity market, The Electricity Journal, Vol 32, Issue 8, 106628, https://doi.org/10.1016/j.tej.2019.106628
  • Neda Ahmadi, Mehrbakhsh Nilashi, Sarminah Smad, Tarik A.Rashid, Hossein Ahmadi (2109). An intelligent method for iris recognition using supervised machine learning techniques, Optics & Laser Technology, Vol. 120, 105701, https://doi.org/10.1016/j.optlastec.2019.105701
  • Ali Ahani, Mehrbakhsh Nilashi, Elaheh Yadegaridehkordi, Louis Sanzogni, Tarik A. Rashid, Kathy Knox, Sarminah Samad, Othman Ibrahim (2019). Revealing customers’ satisfaction and preferences through online review analysis: The case of Canary Islands hotels, Journal of Retailing and Consumer Services, Vol. 51, November, Pages 331-343, https://doi.org/10.1016/j.jretconser.2019.06.014
  • Hasan, A., Rashid, T., Ismael, B., & AL-Salihi, N. (2019, May 22). Transmission Control Protocol Performance Monitoring for Simulated Wired University Computer Network using OPNET. UKH Journal of Science and Engineering, 3(1), 18-28.https://doi.org/10.25079/ukhjse.v3n1y2019.pp18-28
  • Arsalan Mahmoodzadeh, Mokhtar Mohammadi, Ako Daraei, Tarik A. Rashid, Aryan Far H. Sherwania, Rabar H. Faraj, Aso M. Darwesh (2019). Updating ground conditions and time-cost scatter-gram in tunnels during excavation Automation in Construction, Volume 105, 102822,DOI:https://doi.org/10.1016/j.autcon.2019.04.017
  • Hardi M. Mohammed, Shahla U. Umar, and Tarik A. Rashid (2019). A Systematic and Meta-Analysis Survey of Whale Optimization Algorithm, Computational Intelligence and Neuroscience, vol. 2019, Article ID 8718571, 25 pages.https://doi.org/10.1155/2019/8718571
  • A.S. Shamsaldin, T.A. Rashid, R.A. Al-Rashid Agha, N.K. Al-Salihi, M. Mohammadi (2019). Donkey and Smuggler Optimization Algorithm: A Collaborative Working Approach to Path Finding, Journal of Computational Design and Engineering. Volume 6, Issue 4, October 2019, Pages 562-583. DOI: https://doi.org/10.1016/j.jcde.2019.04.004
  • J. M. Abdullah and T. A. Rashid (2019). Fitness Dependent Optimizer: Inspired by the Bee Swarming Reproductive Process," in IEEE Access, vol. 7, pp. 43473-43486. DOI:https://doi.org/10.1109/ACCESS.2019.2907012
  • Rashid TA, Abbas DK, Turel YK (2019). A multi hidden recurrent neural network with a modified grey wolf optimizer. PLoS ONE 14(3): e0213237. DOI: https://doi.org/10.1371/journal.pone.0213237
  • Qahhar Muhammad Qadir , Tarik A. Rashid , Nawzad K. Al-Salihi , Birzo Ismael , Alexander A. Kist , Zhongwei Zhang. (2018). Low Power Wide Area Networks: A Survey of Enabling Technologies, Applications and Interoperability Needs. IEEE Access. DOI:https://doi.org/10.1109/ACCESS.2018.2883151
  • Kym Fraser, Xin Deng, Frank Bruno & Tarik A. Rashid (2018) Should academic research be relevant and useful to practitioners? The contrasting difference between three applied disciplines, Studies in Higher Education, DOI: 10.1080/03075079.2018.1539958
  • https://doi.org/10.1016/j.procs.2018.10.307Tarik A. Rashid, Polla Fattah and Delan K. Awlaa (2018), Using Accuracy Measure for Improving the Training of LSTM with Metaheuristic Algorithms, Procedia Computer Science 140, 324–333, https://doi.org/10.1016/j.procs.2018.10.307
  • Ammar O. Barznji, Tarik A. Rashid and Nawzad K. Al-Salihi. (2018). Computer Network Simulation of Firewall and VoIP Performance Monitoring. iJOE, Vol. 14, No. 9, https://doi.org/10.3991/ijoe.v14i09.8508
  • Saeed, A., Rashid, T. A., Mustafa, A., Fattah, P., & Ismael, B. (2018, June 30). Improving Kurdish Web Mining through Tree Data Structure and Porter’s Stemmer Algorithms. UKH Journal of Science and Engineering, 2(1). Retrieved from https://journals.ukh.edu.krd/index.php/ukhjse/article/view/43
  • Tarik A. Rashid and Saman A. Abdulla (2018). A Hybrid of Artificial Bee Colony, Genetic Algorithm, and Neural Network for Diabetic Mellitus Diagnosing, ARO-The Scientific Journal of Koya University Volume VI, No.1, Article ID: ARO.10368, pp. 55-64 DOI: ARO p-ISSN: 2410-9355, e-ISSN: 2307-549X http://dx.doi.org/10.14500/aro.10368
  • Gudar J. Ibrahim, Tarik A. Rashid & Ahmed T. Sadiq (2018) Evolutionary DNA Computing Algorithm for Job Scheduling Problem, IETE Journal of Research, 64:4, 514-527 DOI: https://doi.org/10.1080/03772063.2017.1362964
  • Asia L. Jabar and Tarik A. Rashid (2018). A Modified Particle Swarm Optimization with Neural Network via Euclidean Distance, International Journal of Recent Contributions from Engineering, Science & IT (iJES), Vol. 6, No. 1, pp.1-18, https://doi.org/10.3991/ijes.v6i1.8080
  • Saeed, A.M., Rashid, T.A., Mustafa, A.M. et al. An evaluation of Reber stemmer with longest match stemmer technique in Kurdish Sorani text classification. Iran J Comput Sci 1, 99–107 (2018) doi:https://doi.org/10.1007/s42044-018-0007-4
  • Tarik A. Rashid, Arazo M. Mustafa and Ari M. Saeed (2017). A Robust Categorization System for Kurdish Sorani Text Documents, Information Technology Journal Vol. 16, No. 1, 27-34. DOI: https://scialert.net/abstract/?doi=itj.2017.27.34
  • https://ieeexplore.ieee.org/document/7587514/Arazo M. Mustafa and Tarik A. Rashid (2017). Kurdish stemmer pre-processing steps for improving information retrieval. Journal of Information Science, Vol. 44, Issue 1, pp. 15 – 27, https://doi.org/10.1177/0165551516683617
  • Tarik A. Rashid and Asia L. Jabar (2016). Improvement on Predicting Employee Behaviour through Intelligent Techniques. In IET Networks. The Institution of Engineering and Technology, Vol. 5, No. 5,, pp. 136 – 142, DOI: 10.1049/iet-net.2015.0106, https://ieeexplore.ieee.org/document/7587514/
  • Tarik A. Rashid, Saman. M. Abdulla, Rezhna. M. Abdulla (2016). Decision Support System for Diabetes Mellitus through Machine Learning Techniques "International Journal of Advanced Computer Science and Applications 7(7):170-178. http://dx.doi.org/10.14569/IJACSA.2016.070724
  • Gudar J. Ibrahim, Tarik A. Rashid, Ahmed T. Sadiq (2016). Improving DNA Computing using Evolutionary Techniques, International Journal of Advanced Computer Science and Applications, Vol. 7, No. 3, pp. 109-121. (DOI) :10.14569/IJACSA.2016.070316
  • Tarik A. Rashid and Hawraz A. Ahmad (2016). Lecturer Performance System Using Neural Network With Particle Swarm Optimization. In Computer Applications in Engineering Education. Wiley publication, Vol. 24, Issue 4, pp. 629-638.https://doi.org/10.1002/cae.21737
  • Tarik A. Rashid and Niyan Kh. Aziz (2016). Student Academic Performance Using Artificial Intelligence, Zanco Journal of Pure and Applied Sciences, ZJPAS, Vol. 28, No. 2, pp. 56-69. https://zancojournals.su.edu.krd/index.php/JPAS/article/view/544
  • Haval Abdulkarim Ahmed, Tarik A. Rashid, Ahmed T. Sadiq (2016). Face Behavior Recognition through Support Vector Machines. (IJACSA) International Journal of Advanced Computer Science and Applications, Vol. 7, No. 1, pp. 101-108. DOI: 10.14569/IJACSA.2016.070115
  • Hawaz Awuny, Tarik A. Rashid (2105). Lecturer Performance Analysis using Multiple Classifiers”, Journal of Computer Science. Journal of Computer Sciences, Vol. 12, No. 5, pp. 255.264, DOI: https://thescipub.com/abstract/10.3844/jcssp.2016.255.264
  • Tarik A. Rashid (2015). Improvement on Classification Models of Multiple Classes through Effectual Processes, International Journal of Advanced Computer Science and Applications (IJACSA), Vol. 6, No. 7, pp. 55-62. (DOI) : http://dx.doi.org/10.14569/IJACSA.2015.060709
  • Tarik A. Rashid (2015). Classifications Performance Enhancement for Students Realization Model, the Journal of Zankoi Sulaimani Part-A- (Pure and Applied Sciences), Vol 17, No. 3, pp. 225-234. DOI: https://doi.org/10.17656/jzs.10416
  • Abbas M. Salah, Tarik A. Rashid, Shareef M. Shareef (2015). A Novel Hybrid Technique for Exchange Rate Forecasting, the Journal of Zankoi Sulaimani Part-A- (Pure and Applied Sciences), Vol. 17, No. 4. DOI: https://doi.org/10.17656/jzs.10434
  • Abbas M. Ali, Shareef M. Shareef, Tarik A. Rashid (2015). Automatic License Plate Recognition in Kurdistan Region of Iraq (KRI), the Journal of Zankoi Sulaimani Part-A- (Pure and Applied Sciences), Vol. 17, No. 3. DOI: https://doi.org/10.17656/jzs.10417
  • Tarik Rashid and Salar Abdul Hamid (2014). Support Vector Machines for Predicting Electrical Faults, In International Journal, University Technology Baghdad, Iraq, Eng. & Tech. Journal, Part (A), Vol.32, No.8. https://www.iasj.net/iasj?func=article&aId=99930
  • B.Q. Huang, T.-M. Kechadi, B. Buckley, G. Kiernan, E. Keogh and Tarik A. Rashid (2010). A new feature set with new window techniques for Customer Churn prediction in Land-line Telecommunications, Expert Systems with Applications, Elsevier Journal, Vol. 37, Issue 5, pp. 3657-3665. https://doi.org/10.1016/j.eswa.2009.10.025
  • Tarik A. Rashid (2009). Classification of Churn and non-Churn Customers for Telecommunication Companies, International Journal of Biometrics and Bioinformatics (IJBB), Vol. 3, Issue 5, pp. 82-89. http://www.cscjournals.org/library/manuscriptinfo.php?mc=IJBB-32
  • https://waset.org/publications/3524/Tarik A. Rashid, B.Q. Huang, M-T. Kechadi and Brian Gleeson (2006). Auto Regressive Recurrent Neural Network Approach for Electricity Load Forecasting, International Journal of Computational Intelligence, pp. 36-44, Vol. 3, No. 1. http://waset.org/publications/15396
  • B.Q. Huang, Tarik A. Rashid and M.-T. Kechadi (2006). Multi-Context Recurrent Neural Network for Time Series Applications, International Journal of Computational Intelligence, Vol. 3, No. 1, 2006, pp. 45-54. https://waset.org/publications/3524/
  • Rashid, T., Hassan, M., Mohammed, M. & Fraser, K. (2019), "Improvement of variant adaptable LSTM trained with metaheuristic algorithms for health care analysis", in Chakraborty, C. (Ed), Advanced Classification Techniques for Healthcare Analysis, IGI Global, Hershey, PA, Chapter 6, ISBN: 978-1-52257-796-6 DOI: 10.4018/978-1-5225-7796-6 www.igi-global.com/book/advanced-classification-techniques-healthcare-analysis/210213
  • Rashid T.A., Mustafa A.M., Saeed A.M. (2018) Automatic Kurdish Text Classification Using KDC 4007 Dataset. In: Barolli L., Zhang M., Wang X. (eds) Advances in Internetworking, Data & Web Technologies. EIDWT 2017. Lecture Notes on Data Engineering and Communications Technologies, vol 6. Springer, Cham. Doi:https://doi.org/10.1007/978-3-319-59463-7_19
  • Rashid T.A., Barznji A.O. (2018) A Virtualized Computer Network for Salahaddin University New Campus of HTTP Services Using OPNET Simulator. In: Auer M., Zutin D. (eds) Online Engineering & Internet of Things. Lecture Notes in Networks and Systems, vol 22. Springer, Cham. DOI:https://doi.org/10.1007/978-3-319-64352-6_69
  • Rashid T.A., Rashad D.D., Gaznai H.M., Shamsaldin A.S. (2017) A Systematic Web Mining Based Approach for Forecasting Terrorism. In: Mohamed Ali M., Wahid H., Mohd Subha N., Sahlan S., Md. Yunus M., Wahap A. (eds) Modeling, Design and Simulation of Systems. AsiaSim 2017. Communications in Computer and Information Science, vol 752. Springer, Singapore.Doi:https://doi.org/10.1007/978-981-10-6502-6_25
  • Rashid T.A. (2016) Convolutional Neural Networks based Method for Improving Facial Expression Recognition. In: Corchado Rodriguez J., Mitra S., Thampi S., El-Alfy ES. (eds) Intelligent Systems Technologies and Applications 2016. ISTA 2016. Advances in Intelligent Systems and Computing, vol 530. Springer, Cham. DOI:https://doi.org/10.1007/978-3-319-47952-1_6
  • Rashid T.A., Mohamad S.O. (2016) Enhancement of Detecting Wicked Website Through Intelligent Methods. In: Mueller P., Thampi S., Alam Bhuiyan M., Ko R., Doss R., Alcaraz Calero J. (eds) Security in Computing and Communications. SSCC 2016. Communications in Computer and Information Science, vol 625. Springer, Singapore.DOI:https://doi.org/10.1007/978-981-10-2738-3_31
  • Ali A.M., Rashid T.A. (2016) Kernel Visual Keyword Description for Object and Place Recognition. In: Thampi S., Bandyopadhyay S., Krishnan S., Li KC., Mosin S., Ma M. (eds) Advances in Signal Processing and Intelligent Recognition Systems. Advances in Intelligent Systems and Computing, vol 425. Springer, Cham.DOI:https://doi.org/10.1007/978-3-319-28658-7_3
  • Rashid T.A., Abdullah S.M., Abdullah R.M. (2016) An Intelligent Approach for Diabetes Classification, Prediction, and Description. In: Snášel V., Abraham A., Krömer P., Pant M., Muda A. (eds) Innovations in Bio-Inspired Computing and Applications. Advances in Intelligent Systems and Computing, vol 424. Springer, Cham.DOI:https://doi.org/10.1007/978-3-319-28031-8_28

Co-workers & collaborators

Soran AM. Saeed

Chnoor M. Rahman

Danial A. Muhammed

Aram M. Ahmed

Hardi M. Mohammed

Godar J. Ibrahim

Tarik A. Rashid's public data