Assistant Professor

Bio

Dr. Mohammad Tubishat is an assistant professor at the College of Technological Innovation at Zayed University. Dr. Tubishat received his PhD in Computer Science (Artificial Intelligence-Natural Language Processing) from the University of Malaya, Malaysia. In addition, both master and bachelor degrees in Computer Science from Yarmouk University, Jordan.

Prior to joining Zayed University, he worked at different universities including: Yarmouk University at Jordan, Taibah University at KSA, Asia Pacific University of Technology and innovation at Malaysia, and Skyline University College at UAE. He has been teaching different computer science courses for undergraduate and graduate programs.

Dr. Tubishat's research areas are Artificial Intelligence, Machine Learning, Sentiment Analysis, Natural Language Processing, and Optimization Algorithms. He has published several peer-reviewed papers in top-ranked journals and conference proceedings.

Office

Abu Dhabi - Khalifa City, MF3-0-054

Phone:

+9712 599 3479

Email:

Teaching Areas

Teaching Areas:

• Artificial Intelligence
• Programming
• Database
• Data Analytics
• Data Structures and Algorithm Analysis
• Operating Systems
• Natural Language Processing
• Research Methodology

Research Area(s)

• Artificial Intelligence
• Sentiment Analysis
• Natural Language Processing
• Optimization Algorithms
• Machine Learning

Research and Professional Activities

Research and Professional Activities (last 5 years)

Refereed journal papers

• Adem, B. A., Alrashdan, M., Abdulnabi, M., Jaradat, A., Tubishat, M., Ghanem, W. A., & Yusof, Y. (2021). A General Review on Location Based Services (LBS) Privacy Protection Using Centralized and Decentralized Approaches with Potential of Having a Hybrid Approach. International Journal of Future Generation Communication and Networking, 14(1), 3057-3079.
• 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) (ISI/ Scopus -Indexed) 
• Tubishat, M., Idris, N., & Abushariah, M. (2021). Explicit aspects extraction in sentiment analysis using optimal rules combination. Future Generation Computer Systems, 114, 448-480. (Q1) (ISI/ Scopus -Indexed) 
• 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) (ISI/ Scopus -Indexed) 
• 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.
• Amin, A., Rana, T. A., Mian, N. A., Iqbal, M. W., Khalid, A., Alyas, T., & Tubishat, M. (2020). TOP-Rank: A Novel Unsupervised Approach for Topic Prediction using Keyphrase Extraction for Urdu Documents. IEEE Access. (Q1) (ISI/ Scopus -Indexed) 
• M. Tubishat, M. Alswaitti, S. Mirjalili, M. A. Al-Garadi, M. T. Alrashdan and T. A. Rana, "Dynamic Butterfly Optimization Algorithm for Feature Selection," in IEEE Access, vol. 8, pp. 194303-194314, 2020, doi: 10.1109/ACCESS.2020.3033757. (Q1) (ISI/ Scopus -Indexed) 
• Elgamal, Z. M., Yasin, N. B. M., Tubishat, M., Alswaitti, M., & Mirjalili, S. (2020). An Improved Harris Hawks Optimization Algorithm With Simulated Annealing for Feature Selection in the Medical Field. IEEE Access, 8, 186638-186652. (Q1) (ISI/ Scopus -Indexed)
• Tubishat, M., Idris, N., Shuib, L., Abushariah, M. A., & Mirjalili, S. (2020). Improved salp swarm algorithm based on opposition based learning and novel local search algorithm for feature selection. Expert Systems with Applications, 113122. (Q1) (ISI/ Scopus -Indexed) 
• Sihwail, R., Omar, K., Ariffin, K. A. Z., & Tubishat, M. (2020). Improved Harris Hawks Optimization Using Elite Opposition-Based Learning and Novel Search Mechanism for Feature Selection. IEEE Access, 8, 121127-121145. (Q1) (ISI/ Scopus -Indexed) 
• Tubishat, M., Abushariah, M. A., Idris, N., & Aljarah, I. (2019). Improved whale optimization algorithm for feature selection in Arabic sentiment analysis. Applied Intelligence, 49(5), 1688-1707. (Q2) (ISI/ Scopus -Indexed) 
• Tubishat, M., Idris, N., & Abushariah, M. A. (2018). Implicit aspect extraction in sentiment analysis: Review, taxonomy, opportunities, and open challenges. Information Processing & Management, 54(4), 545-563. (Q1) (ISI/ Scopus -Indexed)  
• TUBISHAT, M., ALSMADI, I., & AL-KABI, M. O. H. A. M. M. E. D. (2010). Using XML for user interface documentation and differential evaluation. Journal of Theoretical & Applied Information Technology, 21(2). (Q3) (Scopus-Indexed)
• Tubishat M., Nahar K., Abu Abbas O., “DUAL Lanaguage Encryption System”, ABHATH AL-YARMOUK: "Basic Sci. & Eng." Vol. 18, No.2, 2009.