HomeDeanship of Graduate StudiesGraduate FacultyPrograms FacultyProfilesMohammad Tubaishat

Mohammad Tubaishat

Assistant Professor
+971 4 402 1238
 
AUH Campus
dummy-profile.png
 
 

 
  • Ph.D. in Computer Science (Artificial Intelligence-Natural Language Processing), University of Malaya, Malaysia 
  • MSc in Computer and Information Sciences, Yarmouk University, Jordan 
  • BSc in Computer Science, Yarmouk University, Jordan 
  • Artificial Intelligence, Machine Learning, Sentiment Analysis, Natural Language Processing, and Optimization Algorithms 
  • Assistant Professor, College of Technological Innovation, Zayed University (2021-preset) 
  • Assistant Professor, College of Technological Innovation, Zayed University (2021-preset) 
  • Reviewer for various journals published by Springer, Elsevier, and IEEE 
  • Member of student committee 
  • Reviewer for Undergraduate students research (URC) conference, Dubai, UAE, 2022 

  1. Tubishat, M., Al-Obeidat, F., Sadiq, A. S., & Mirjalili, S. (2023). An Improved Dandelion Optimizer Algorithm for Spam Detection: Next-Generation Email Filtering System. Computers, 12(10), 196. (Q2) (Scopus) 

  1. Alomari, O. A., Elnagar, A., Afyouni, I., Shahin, I., Nassif, A. B., Hashem, I. A., & Tubishat, M. (2022). Hybrid feature selection based on principal component analysis and grey wolf optimizer algorithm for Arabic news article classification. IEEE Access. (Q1) (Scopus) 

  1. Tubishat, M., Rawshdeh, Z., Jarrah, H., Elgamal, Z. M., Elnagar, A., & Alrashdan, M. T. (2022). Dynamic generalized normal distribution optimization for feature selection. Neural Computing and Applications, 1-16. (Q1) (Scopus) 

  1. Elgamal, Z., Sabri, A. Q. M., Tubishat, M., Tbaishat, D., Makhadmeh, S. N., & Alomari, O. A. (2022). Improved Reptile Search Optimization Algorithm using Chaotic map and Simulated Annealing for Feature Selection in Medical Filed.  IEEE Access. (Q1) ( Scopus). 

  1. Shehadeh, H. A., Mustafa, H. M., & Tubishat, M. (2022). A Hybrid Genetic Algorithm and Sperm Swarm Optimization (HGASSO) for Multimodal Functions. International Journal of Applied Metaheuristic Computing (IJAMC), 13(1), 1-33. (Q4) (Scopus) 

  1. Tubishat, M., Ja’afar, S., Idris, N., Al-Betar, M. A., Alswaitti, M., Jarrah, H., ... & Omar, M. S. (2022). Improved sine cosine algorithm with simulated annealing and singer chaotic map for Hadith classification. Neural Computing and Applications, 1-22. (Q1) (Scopus) 

  1. Rana, T. A., Shahzadi, K., Rana, T., Arshad, A., & Tubishat, M. (2021). An Unsupervised Approach for Sentiment Analysis on Social Media Short Text Classification in Roman Urdu. Transactions on Asian and Low-Resource Language Information Processing, 21(2), 1-16. (Q2) (Scopus) 

  1. Elgamal, Z. M., Yasin, N. M., Sabri, A. Q. M., Sihwail, R., Tubishat, M., & Jarrah, H. (2021). Improved Equilibrium Optimization Algorithm Using Elite Opposition-Based Learning and New Local Search Strategy for Feature Selection in Medical Datasets. Computation, 9(6), 68. (Q2) (Scopus)  

  1. Tubishat, M., Ja'afar, S., Alswaitti, M., Mirjalili, S., Idris, N., Ismail, M. A., & Omar, M. S. (2021). Dynamic salp swarm algorithm for feature selection. Expert Systems with Applications, 164, 113873. (Q1) (Scopus)  

  1. Chantar, H., Tubishat, M., Essgaer, M., & Mirjalili, S. (2021). Hybrid Binary Dragonfly Algorithm with Simulated Annealing for Feature Selection. Sn Computer Science, 2(4), 1-11. (Q2) (Scopus)

  • Best paper award in the International Conference on Industrial Enterprise and System Engineering (IcoIESE 2018).
  • INS 699 - Research Thesis